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521. The Role of Mid‐latitude Westerly Jet in the Impacts of November Ural Blocking on Early‐Winter Warmer Arctic‐Colder Eurasia Pattern X. Xu et al. https://doi.org/10.1029/2022GL099096
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532. Recent Changes of Pacific Decadal Variability Shaped by Greenhouse Forcing and Internal Variability W. Sun et al. https://doi.org/10.1029/2021JD035812
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538. Dispersal abilities favor commensalism in animal-plant interactions under climate change P. Lemes et al. https://doi.org/10.1016/j.scitotenv.2022.155157
539. Two Competing Drivers of the Recent Walker Circulation Trend M. Watanabe et al. https://doi.org/10.1029/2023GL105332
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548. ENSO Diversity and the Simulation of Its Teleconnections to Winter Precipitation Extremes Over the US in High Resolution Earth System Models S. Mahajan et al. https://doi.org/10.1029/2022GL102657
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550. A Statistical Approach on Estimations of Climate Change Indices by Monthly Instead of Daily Data K. Hasel et al. https://doi.org/10.3390/atmos14111634
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552. Enhancing hydropower resilience through dynamic rule curve modifications under climate change in the Sunkoshi multipurpose scheme, Nepal R. Regmi et al. https://doi.org/10.1038/s41598-025-19252-8
553. Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. https://doi.org/10.1088/1748-9326/ac0748
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556. Ozone mitigates extended growing season and enhanced vegetation greenness driven by environmental change H. Yin et al. https://doi.org/10.1038/s41467-026-71959-y
557. Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. https://doi.org/10.5194/esd-14-1333-2023
558. Correcting Observational Biases in Sea Surface Temperature Observations Removes Anomalous Warmth during World War II D. Chan & P. Huybers https://doi.org/10.1175/JCLI-D-20-0907.1
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560. Could detection and attribution of climate change trends be spurious regression? D. Cummins et al. https://doi.org/10.1007/s00382-022-06242-z
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562. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-501-2021
563. Evaluation of global ocean–sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) H. Tsujino et al. https://doi.org/10.5194/gmd-13-3643-2020
564. Present-day and future PM2.5 and O3-related global and regional premature mortality in the EVAv6.0 health impact assessment model U. Im et al. https://doi.org/10.1016/j.envres.2022.114702
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568. Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings A. Patra et al. https://doi.org/10.1038/s41597-023-02228-6
569. Higher Antarctic ice sheet accumulation and surface melt rates revealed at 2 km resolution B. Noël et al. https://doi.org/10.1038/s41467-023-43584-6
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571. Evaluation and Projection of the Influence of the August Asian–Pacific Oscillation on Precipitation in Northern Xinjiang Based on CMIP6 Simulations Y. Zhu & W. Hua https://doi.org/10.3390/atmos17010009
572. Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. https://doi.org/10.5194/esd-15-987-2024
573. Future Climate Changes as Simulated by the Multi-purpose System for Modeling and Regional Climate Projections over Russia (MSMRCP-R) A. Pikaleva et al. https://doi.org/10.3103/S1068373925090080
574. Risk assessment of Panonychus ulmi to global temperate fruit production under climate change Z. Fan et al. https://doi.org/10.1007/s10493-026-01170-7
575. The Representation of Soil Moisture-Atmosphere Feedbacks across the Tibetan Plateau in CMIP6 J. Talib et al. https://doi.org/10.1007/s00376-023-2296-2
576. Interannual Variability in the Stratosphere–Troposphere Exchange of Air Mass and Ozone in Chemistry Climate Models A. Hall et al. https://doi.org/10.3390/cli14100205
577. The wet and stormy UK winter of 2019/2020 P. Davies et al. https://doi.org/10.1002/wea.3955
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580. Expected prevalence of the facultative parasitoid Megaselia scalaris of honey bees in Africa and the Mediterranean region under climate change conditions H. Abou-Shaara & A. Darwish https://doi.org/10.1007/s42690-021-00508-5
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582. Data-driven equation discovery of a sea ice albedo parametrisation D. Atmojo et al. https://doi.org/10.5194/tc-20-4437-2026
583. Revealing Spatiotemporal Characteristics of Global Seismic Thermal Anomalies: Framework Based on Annual Energy Balance and Geospatial Constraints P. Yang et al. https://doi.org/10.3390/rs18020290
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585. CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization A. Georgoulias et al. https://doi.org/10.3390/rs18040586
586. Evaluation of General Circulation Models CMIP6 Performance and Future Climate Change over the Omo River Basin, Ethiopia T. Feyissa et al. https://doi.org/10.3390/su15086507
587. Simulation and projection of the sudden stratospheric warming events in different scenarios by CESM2-WACCM Z. Liang et al. https://doi.org/10.1007/s00382-022-06293-2
588. Assessment of Antarctic Sea Ice Cover in CMIP6 Prediction with Comparison to AMSR2 during 2015–2021 S. Li et al. https://doi.org/10.3390/rs15082048
589. Understanding droughts under climate change in South America based on severity-duration-frequency curves and drought atlases N. Merz & M. Zachariah https://doi.org/10.1007/s10584-025-04015-1
590. Sea level rise and coastal flooding risks in the Gulf of Guinea F. Ghomsi et al. https://doi.org/10.1038/s41598-024-80748-w
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593. New trend of studying desert evolution and desertification H. Lu https://doi.org/10.1007/s11430-024-1571-9
594. Projected climate change and its influence on watershed hydrology: A case study of Suketi watershed, Himachal Pradesh M. Upadhyay et al. https://doi.org/10.1016/j.pce.2026.104401
595. Arctic black carbon during PAMARCMiP 2018 and previous aircraft experiments in spring S. Ohata et al. https://doi.org/10.5194/acp-21-15861-2021
596. The historical to future linkage of Arctic amplification on extreme precipitation over the Northern Hemisphere using CMIP5 and CMIP6 models J. Liu et al. https://doi.org/10.1016/j.accre.2024.07.008
597. Variability in Biomass Burning Emissions Weakens Aerosol Forcing Due To Nonlinear Aerosol‐Cloud Interactions K. Heyblom et al. https://doi.org/10.1029/2022GL102685
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601. Winter Cloudy Days Will Diminish Over China Under Global Warming H. Tan et al. https://doi.org/10.1029/2023EF004030
602. A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al. https://doi.org/10.1002/asl.1268
603. An assessment of CMIP6 climate signals and biases in temperature, precipitation and soil moisture over Europe A. Ossó et al. https://doi.org/10.1002/joc.8169
604. Legacies of millennial-scale climate oscillations in contemporary biodiversity in eastern North America D. Fastovich et al. https://doi.org/10.1098/rstb.2023.0012
605. A post-fire reforestation assessment and prioritization tool for the Western United States Z. Holden et al. https://doi.org/10.1186/s42408-025-00405-z
606. Forced trends and internal variability in climate change projections of extreme European windstorm frequency and severity M. Priestley et al. https://doi.org/10.1002/qj.4849
607. Projected Climate Change Scenarios Spatially Decouple Desert Extrafloral Nectary–Bearing Plant–Ant Interactions J. Braun & C. Lortie https://doi.org/10.1111/jbi.70039
608. North Atlantic fingerprint on severe heatwaves over the Indian region S. Marathe et al. https://doi.org/10.1002/qj.70061
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610. Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario P. Vaittinada Ayar et al. https://doi.org/10.5194/esd-13-1097-2022
611. Coastal warming under climate change: Global, faster and heterogeneous R. Varela et al. https://doi.org/10.1016/j.scitotenv.2023.164029
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614. The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6 D. Zanchettin et al. https://doi.org/10.5194/gmd-9-2701-2016
615. Assessing the impact of a future volcanic eruption on decadal predictions S. Illing et al. https://doi.org/10.5194/esd-9-701-2018
616. Convection-permitting climate simulations using SINGV-RCM and WRF over the Maritime Continent V. Prasanna et al. https://doi.org/10.1007/s00382-026-08193-1
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620. Magnetically redirected cryo-electric harvesting from charged snowflakes: A theoretical framework for energy amid storm mitigation Y. Li https://doi.org/10.1016/j.enconman.2026.122003
621. Projected Intensification and Persistence of Drought in Southeastern Anatolia, Turkey: A Multi-Index Analysis Based on CMIP6 Multi-Model Ensemble Projections E. Yalcin et al. https://doi.org/10.1007/s00024-026-04017-9
622. Spatio-temporal trend and frequency analysis of precipitation in South-southern Nigeria (SSN) A. Ogunrinde et al. https://doi.org/10.3354/cr01698
623. Targeted conservation assessment of the climate-sensitive, poorly known Pilbara barking gecko (Underwoodisaurus seorsus) R. Audcent et al. https://doi.org/10.1071/PC25099
624. Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. https://doi.org/10.1134/S0001433823040059
625. Stressors of primary productivity in the north Indian ocean revealed by satellite, reanalysis and CMIP6 data N. Sunanda et al. https://doi.org/10.1016/j.pocean.2023.103164
626. A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses L. Zhou & R. Zhang https://doi.org/10.1007/s00376-021-1368-4
627. Present and Future Flood Hazard in the Lower Columbia River Estuary: Changing Flood Hazards in the Portland‐Vancouver Metropolitan Area L. Helaire et al. https://doi.org/10.1029/2019JC015928
628. Long-term rainfall projection based on CMIP6 scenarios for Kurau River Basin of rice-growing irrigation scheme, Malaysia M. Adib et al. https://doi.org/10.1007/s42452-022-04952-x
629. ENSO’s changing grip on Bering Sea ice: The emerging control of the North Pacific meridional mode J. Chen et al. https://doi.org/10.1126/sciadv.ady2329
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632. The IPWP as a capacitor for autumn sea ice loss in Northeastern Canada L. Yu et al. https://doi.org/10.1038/s41612-024-00798-9
633. K-ACE2: Model Overview and Evaluation of Pre-industrial Climate H. Lee et al. https://doi.org/10.1007/s13143-026-00455-6
634. Projected temperature and precipitation changes under future climate scenarios in the Siak watershed, Indonesia . Mashuri et al. https://doi.org/10.1016/j.nbsj.2026.100309
635. Dynamic and Thermodynamic Contributions to Future Extreme‐Rainfall Intensification: A Case Study for Belgium J. Schoofs et al. https://doi.org/10.1002/joc.70192
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795. Increased glacier melt enhances future extreme floods in the southern Tibetan Plateau H. Sun et al. https://doi.org/10.1016/j.accre.2024.01.003
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797. A species’ response to spatial climatic variation does not predict its response to climate change D. Perret et al. https://doi.org/10.1073/pnas.2304404120
798. Impact of Climate Change on the Hydrology of the Forested Watershed That Drains to Lake Erken in Sweden: An Analysis Using SWAT+ and CMIP6 Scenarios I. Jiménez-Navarro et al. https://doi.org/10.3390/f12121803
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801. Assessment of Changes in the Temperature Regime of Northern Eurasia for the Next Five Years According to the INM RAS Earth System Model Forecasts and Their Possible Consequences for Agriculture V. Khan et al. https://doi.org/10.3103/S1068373923090029
802. Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs S. Hoseini et al. https://doi.org/10.61186/NMCE.2303.1034
803. Interbasin and interhemispheric impacts of a collapsed Atlantic Overturning Circulation B. Orihuela-Pinto et al. https://doi.org/10.1038/s41558-022-01380-y
804. The Coupled Atmosphere–Ocean Response to Antarctic Sea Ice Loss H. Ayres et al. https://doi.org/10.1175/JCLI-D-21-0918.1
805. Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes R. Muñoz-Mas et al. https://doi.org/10.1016/j.ecolind.2024.111979
806. An evaluation of extreme temperature indices as simulated by CMIP6 models over Central Africa G. Fotso-Kamga et al. https://doi.org/10.1007/s00704-026-06065-6
807. Spatiotemporal variations of ecosystem services in the Aral Sea basin under different CMIP6 projections J. He et al. https://doi.org/10.1038/s41598-024-62802-9
808. Northern Hemisphere Heat Extremes in a Warmer Climate: More Probable but Less Colocated With Blocking V. Narinesingh et al. https://doi.org/10.1029/2022GL101211
809. Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. https://doi.org/10.1016/j.scitotenv.2025.178699
810. Predicting the northward expansion of tropical lineage Rhipicephalus sanguineus sensu lato ticks in the United States and its implications for medical and veterinary health E. Pascoe et al. https://doi.org/10.1371/journal.pone.0271683
811. Numerical simulations of Atlantic meridional overturning circulation (AMOC) from OMIP experiments and its sensitivity to surface forcing X. Wang & Y. Yu https://doi.org/10.1007/s00343-023-2364-6
812. Response of ozone to current and future emission scenarios and the resultant human health impact in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109333
813. The Time of Emergence (ToE) of the Andean Mediterranean sclerophyllous forest of Quillaja saponaria (Mol.) and Lithraea caustica (mol.) Hox. & Arn D. Martínez et al. https://doi.org/10.1016/j.foreco.2023.121169
814. Delineating spatial use combined with threat assessment to aid critical recovery of northeast Australia’s endangered hawksbill turtle, one of western Pacific's last strongholds C. Madden Hof et al. https://doi.org/10.3389/fmars.2023.1200986
815. Changing El Niño-Southern Oscillation (ENSO) and impacts under greenhouse warming W. Cai et al. https://doi.org/10.1360/TB-2024-1104
816. Reasons for East Siberia Winter Snow Water Equivalent Increase in the Recent Decades Z. Wang et al. https://doi.org/10.3390/rs15010134
817. Evaluation of extreme precipitation climate indices and their projected changes for Brazil: From CMIP3 to CMIP6 F. Jeferson de Medeiros et al. https://doi.org/10.1016/j.wace.2022.100511
818. Characterizing and correcting for global climate models’ biases in multiyear extreme precipitation scenarios A. Frei et al. https://doi.org/10.1007/s10584-025-04033-z
819. An assessment of land energy balance over East Asia from multiple lines of evidence and the roles of the Tibet Plateau, aerosols, and clouds Q. Wang et al. https://doi.org/10.5194/acp-22-15867-2022
820. Systematic Climate Model Biases in the Large‐Scale Patterns of Recent Sea‐Surface Temperature and Sea‐Level Pressure Change R. Wills et al. https://doi.org/10.1029/2022GL100011
821. Present‐Day Greenland Ice Sheet Climate and Surface Mass Balance in CESM2 L. van Kampenhout et al. https://doi.org/10.1029/2019JF005318
822. Heatwave Characteristics in the Recent Climate and at Different Global Warming Levels: A Multimodel Analysis at the Global Scale A. Al‐Yaari et al. https://doi.org/10.1029/2022EF003301
823. Understanding the delayed onset of the South China Sea summer monsoon in CMIP6 models J. Yang et al. https://doi.org/10.1007/s00382-025-07819-0
824. Evaluation of Bias-Corrected GCM CMIP6 Simulation of Sea Surface Temperature over the Gulf of Guinea O. Ideki & A. Lupo https://doi.org/10.3390/cli12020019
825. The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake N. Goris et al. https://doi.org/10.5194/gmd-16-2095-2023
826. Multi-model ensemble mean shows accelerating global below-ground warming Y. Ju et al. https://doi.org/10.1016/j.agrformet.2026.111382
827. Local surface cooling from afforestation amplified by lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41561-023-01251-x
828. Investigating carbon and nitrogen conservation in reported CMIP6 Earth system model data G. Tang et al. https://doi.org/10.5194/gmd-18-2111-2025
829. Substantially reducing global PM2.5-related deaths under SDG3.9 requires better air pollution control and healthcare H. Yue et al. https://doi.org/10.1038/s41467-024-46969-3
830. Novel bias correction framework for CMIP6 climate projections over Sri Lanka and streamflow impacts in the Malwathu River Basin S. Vasanthakumar et al. https://doi.org/10.1007/s40808-026-02858-w
831. Predictions based on phylogeography and climatic niche modelling depict an uncertain future scenario for giant blister beetles (Berberomeloe, Meloidae) facing intensive greenhouse expansion and global warming A. Sánchez‐Vialas et al. https://doi.org/10.1111/icad.12671
832. Changes in the ground surface temperature in permafrost regions along the Qinghai–Tibet engineering corridor from 1900 to 2014: A modified assessment of CMIP6 Z. Xing et al. https://doi.org/10.1016/j.accre.2023.01.007
833. Historically consistent mass loss projections of the Greenland ice sheet C. Rahlves et al. https://doi.org/10.5194/tc-19-1205-2025
834. Covering rice demand in Southern China under decreasing cropping intensities and considering multiple climate and population scenarios Z. Zhou et al. https://doi.org/10.1016/j.spc.2023.06.008
835. Equilibrium Climate Sensitivity Estimated by Equilibrating Climate Models M. Rugenstein et al. https://doi.org/10.1029/2019GL083898
836. Model-Based Assessment of Phenological and Climate Suitability Dynamics for Winter Wheat in the 3H Plain Under Future Climate Scenarios Y. Xu et al. https://doi.org/10.3390/agriculture15151606
837. How adequately are elevated moist layers represented in reanalysis and satellite observations? M. Prange et al. https://doi.org/10.5194/acp-23-725-2023
838. Big data in Earth science: Emerging practice and promise T. Vance et al. https://doi.org/10.1126/science.adh9607
839. When the future cannot reach everyone: Disability erasure in climate modelling E. Bokor & M. Nen https://doi.org/10.1016/j.futures.2026.103833
840. Chronic and rainfall-associated ammonia nitrogen export varies across land-use and river-connectivity contexts in Chinese river networks M. Wang et al. https://doi.org/10.1016/j.watres.2026.126765
841. Two-timescale response of a large Antarctic ice shelf to climate change K. Naughten et al. https://doi.org/10.1038/s41467-021-22259-0
842. Efficacy of an inflow diversion wall for managing eutrophication in two hydrologically connected lakes: A modelling study M. Prentice et al. https://doi.org/10.1016/j.ecoleng.2025.107862
843. Improving the Estimation of Human Climate Influence by Selecting Appropriate Forcing Simulations C. Li et al. https://doi.org/10.1029/2021GL095500
844. The Cause of the Large Cold Bias in the Northwestern Pacific Ocean J. Feng et al. https://doi.org/10.1029/2021GL094616
845. Sahel Droughts Induced by Large Volcanic Eruptions Over the Last Millennium in PMIP4/Past1000 Simulations J. Villamayor et al. https://doi.org/10.1029/2022GL101478
846. Atlantic salinity budget in response to Northern and Southern Hemisphere ice sheet discharge J. van den Berk et al. https://doi.org/10.1007/s00382-018-4444-4
847. Forced signal and predictability in a prototype climate model: Implications for fingerprinting based detection in the presence of multidecadal natural variability S. Kravtsov et al. https://doi.org/10.1063/5.0106514
848. Future Thermodynamic Impacts of Global Warming on Landfalling Typhoons and Their Induced Storm Surges to the Pearl River Delta Region as Inferred from High-Resolution Regional Models J. Chen et al. https://doi.org/10.1175/JCLI-D-21-0436.1
849. Land Cover Change Intensifies Actual and Potential Radiative Forcing through CO2 in South and Southeast Asia from 1992 to 2015 Y. Cui et al. https://doi.org/10.3390/ijerph16142460
850. Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models S. Zhao et al. https://doi.org/10.3390/rs14194701
851. An Eulerian evaluation of intense low-pressure systems over North America in CMIP6 and a regional climate model V. De Meyer et al. https://doi.org/10.1007/s00382-026-08260-7
852. Atmospheric drivers and socioeconomic impacts of precipitation variability in North Africa M. Tanarhte et al. https://doi.org/10.1038/s43247-026-03801-8
853. An integrated approach for assessing the economic impact of climate change on hydropower systems A. Hatamkhani et al. https://doi.org/10.1016/j.energy.2025.134990
854. Reversal of the impact chain for actionable climate information P. Pfleiderer et al. https://doi.org/10.1038/s41561-024-01597-w
855. Evaluation of Ocean Biogeochemistry and Carbon Cycling in CMIP Earth System Models With the International Ocean Model Benchmarking (IOMB) Software System W. Fu et al. https://doi.org/10.1029/2022JC018965
856. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. https://doi.org/10.1029/2022MS003204
857. CMIP6 projected response of the East Asian winter climate to the sea ice‐free Arctic Z. Song & B. Zhou https://doi.org/10.1002/joc.7931
858. A semi-empirical model for mesospheric and stratospheric NOy produced by energetic particle precipitation B. Funke et al. https://doi.org/10.5194/acp-16-8667-2016
859. Evaluation of the interactive stratospheric ozone (O3v2) module in the E3SM version 1 Earth system model Q. Tang et al. https://doi.org/10.5194/gmd-14-1219-2021
860. Stronger Arctic amplification produced by decreasing, not increasing, CO2 concentrations S. Zhou et al. https://doi.org/10.1088/2752-5295/aceea2
861. Footprints of meteorology and air pollution on rice yield variation in the North Indian Plain; implications of future climate change scenarios A. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2026.181714
862. Scenarios towards limiting global mean temperature increase below 1.5 °C J. Rogelj et al. https://doi.org/10.1038/s41558-018-0091-3
863. Seasonal Spatial Distribution Patterns of Crangon hakodatei (Rathbun, 1902) in the Southern Yellow and East China Seas M. Xu et al. https://doi.org/10.2983/035.045.0113
864. Short-lived halogen sources and chemistry in the Community Earth System Model v2 (CESM2-SLH) R. Fernandez et al. https://doi.org/10.5194/gmd-19-9325-2026
865. Sensitive temperature changes on the Tibetan Plateau in response to global warming Y. Meng et al. https://doi.org/10.1016/j.atmosres.2023.106948
866. Projected heatwaves in Xinjiang Uygur autonomous region, China D. Dong et al. https://doi.org/10.3389/feart.2024.1286012
867. Characteristic changes in compound drought and heatwave events under climate change C. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107440
868. Mechanical and Thermal Impacts of the Tibetan–Iranian Plateau on the North Pacific Storm Track: Numerical Experiments by FGOALS‐f3‐L M. Yang et al. https://doi.org/10.1029/2021JD035659
869. The Indian summer monsoon and Indian Ocean Dipole connection in the IITM Earth System Model (IITM-ESM) A. Prajeesh et al. https://doi.org/10.1007/s00382-021-05999-z
870. Simulations of ENSO Phase-Locking in CMIP5 and CMIP6 H. Chen & F. Jin https://doi.org/10.1175/JCLI-D-20-0874.1
871. Climate-adaptive life cycle management of structures on permafrost soils D. Solovyev & L. Adamcevich https://doi.org/10.29039/2308-0191-2026-14-3-C0049
872. Variability of the Indian Ocean Dipole post-2100 reverses to a reduction despite persistent global warming G. Wang et al. https://doi.org/10.1038/s41467-024-49401-y
873. Future changes in precipitation and water availability over the Tibetan Plateau projected by CMIP6 models constrained by climate sensitivity H. Qiu et al. https://doi.org/10.1016/j.aosl.2024.100537
874. Bayesian assessment of CMIP6 surface net radiation predictions for Köppen–Geiger climate zones Z. Liu https://doi.org/10.1002/joc.8152
875. Implementation of nitrogen cycle in the CLASSIC land model A. Asaadi & V. Arora https://doi.org/10.5194/bg-18-669-2021
876. Abrupt loss and uncertain recovery from fires of Amazon forests under low climate mitigation scenarios I. Cano et al. https://doi.org/10.1073/pnas.2203200119
877. Climate change greatly escalates forest disturbance risks to US property values W. Anderegg et al. https://doi.org/10.1088/1748-9326/ace639
878. Future changes in precipitation and temperature using cmip6 model based on topsis method: focus on Songhua river basin S. Chu et al. https://doi.org/10.1007/s00704-026-06127-9
879. Subsea permafrost and associated methane hydrate stability zone: how long can they survive in the future? V. Malakhova & A. Eliseev https://doi.org/10.1007/s00704-023-04804-7
880. Changes and responses of GPP among different plant functional types in a savanna ecosystem under future climate scenarios W. Chen et al. https://doi.org/10.1016/j.jenvman.2025.126836
881. Evaluation of CMIP6 Model Simulation Capability in Sichuan Region 晨. 邢 https://doi.org/10.12677/OJNS.2021.91016
882. Optimizing the sowing window for direct-seeded rice (Oryza sativa L.) considering high yield and methane emissions in Central China Z. Zhou et al. https://doi.org/10.1016/j.agsy.2022.103594
883. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al. https://doi.org/10.1002/joc.6996
884. Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation A. Ukkola et al. https://doi.org/10.1029/2020GL087820
885. Assessing species reintroduction sites based on future climate suitability for food resources S. Gomides et al. https://doi.org/10.1111/cobi.13796
886. Analyzing uncertainty and constraining projections for future vegetation in mid-to-high-latitude Asia J. Wei et al. https://doi.org/10.1016/j.aosl.2024.100522
887. Climate-mediated stock redistribution causes increased risk and challenges for fisheries management N. Jacobsen et al. https://doi.org/10.1093/icesjms/fsac029
888. Probabilistic Sea Level Rise Hazard Analysis Based on the Current Generation of Data and Protocols X. Luo & T. Lin https://doi.org/10.1061/JSENDH.STENG-11413
889. Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China X. Shao et al. https://doi.org/10.1371/journal.pone.0337473
890. Influence of the Solar Cycle on the North Atlantic Oscillation Y. Kuroda et al. https://doi.org/10.1029/2021JD035519
891. High-resolution snow water equivalent estimation: a data-driven method for localized downscaling of climate data F. Zakeri et al. https://doi.org/10.5194/hess-29-6935-2025
892. Polar Amplification and Ice Free Conditions under 1.5, 2 and 3 °C of Global Warming as Simulated by CMIP5 and CMIP6 Models F. Casagrande et al. https://doi.org/10.3390/atmos12111494
893. Early‐to‐Late Winter 20th Century North Atlantic Multidecadal Atmospheric Variability in Observations, CMIP5 and CMIP6 T. Bracegirdle https://doi.org/10.1029/2022GL098212
894. Projecting atmospheric N2O rise until the end of the 21st century: an Earth System Model study M. De Sisto et al. https://doi.org/10.1088/1748-9326/ad8c6c
895. Inter-basin contrast in the Southern Ocean warming Y. Song et al. https://doi.org/10.1038/s41467-025-64112-8
896. Interannual Fluctuations and Their Low-Frequency Modulation of Summertime Heavy Daily Rainfall Potential in Western Japan T. Mochizuki https://doi.org/10.3390/atmos15070814
897. Observation-based selection of climate models projects Arctic ice-free summers around 2035 D. Docquier & T. Koenigk https://doi.org/10.1038/s43247-021-00214-7
898. Changes in the Length of the Season with Favorable Environmental Conditions for Tropical Cyclones in the North Atlantic Basin during the Last 40 Years Y. Wu & R. Korty https://doi.org/10.1175/JCLI-D-21-0767.1
899. Evaluating Climate Models with an African Lens R. James et al. https://doi.org/10.1175/BAMS-D-16-0090.1
900. Anthropogenic climate change amplifies autumn heatwave risks for children during school reopening Y. Ye et al. https://doi.org/10.1016/j.wace.2026.100892
901. Impact of Antarctic Meltwater Forcing on East Asian Climate Under Greenhouse Warming J. Oh et al. https://doi.org/10.1029/2020GL089951
902. Climate change scenarios across South-Kivu agroecological zones, Eastern D.R. Congo L. Kulimushi et al. https://doi.org/10.1038/s41598-026-50143-8
903. Coincident evolution of glaciers and ice-marginal proglacial lakes across the Southern Alps, New Zealand: Past, present and future J. Carrivick et al. https://doi.org/10.1016/j.gloplacha.2022.103792
904. ENSO-Former: spatiotemporal fusion network based on multivariate and dual-branch transformer for ENSO prediction W. Fang & Y. Sha https://doi.org/10.1007/s00382-024-07566-8
905. High-resolution projections of carbon neutrality in China: implications for low-carbon territorial space utilization M. Cui et al. https://doi.org/10.1016/j.ecolind.2026.115262
906. Changes in vegetation greenness and its response to precipitation seasonality in Central Asia from 1982 to 2022 Y. Su et al. https://doi.org/10.1088/1748-9326/acf58e
907. Recent global climate feedback controlled by Southern Ocean cooling S. Kang et al. https://doi.org/10.1038/s41561-023-01256-6
908. CMIP6 model simulation of concurrent continental warming holes in Eurasia and North America since 1990 and their relation to the Indo-Pacific SST warming C. Sun et al. https://doi.org/10.1016/j.gloplacha.2022.103824
909. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. https://doi.org/10.1073/pnas.2402868121
910. Climate change and conservation of Caladenia orchids in Western Australia J. Calevo et al. https://doi.org/10.1007/s10531-025-03185-9
911. The coupled Southern Ocean–Sea ice–Ice shelf Model (SOSIM v1.0): configuration and evaluation C. Liu et al. https://doi.org/10.5194/gmd-19-2985-2026
912. THE ASSESSMENT OF THE IMPACT OF CLIMATE CHANGE ON TYPHOONS USING A SLAB-OCEAN COUPLED ATMOSPHERIC GLOBAL CIRCULATION MODEL WITH MONTH FIXED EVENT ATTRIBUTION EXPERIMENTS T. OKADA et al. https://doi.org/10.2208/kaigan.78.2_I_955
913. Thermodynamic effect dictates influence of the Atlantic Multidecadal Oscillation on Eurasia winter temperature H. Wang et al. https://doi.org/10.1038/s41612-024-00686-2
914. Projection of Precipitation Extremes and Flood Risk in the China–Pakistan Economic Corridor S. Du et al. https://doi.org/10.3389/fenvs.2022.887323
915. Improving climate information through projecting climate change and variability in the Upper Awash Subbasin, Ethiopia A. Bedada et al. https://doi.org/10.1007/s00703-025-01087-7
916. On the impact of net-zero forcing Q-flux change K. Eiselt & R. Graversen https://doi.org/10.1007/s00382-024-07117-1
917. Spatio-temporal patterns of habitat suitability for two exotic fishes under climate change in a tropical river basin A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2025.100704
918. Assessment of CMIP6 Multi-Model Projections Worldwide: Which Regions Are Getting Warmer and Are Going through a Drought in Africa and Morocco? What Changes from CMIP5 to CMIP6? A. Bouramdane https://doi.org/10.3390/su15010690
919. Technology to aid the analysis of large-volume multi-institute climate model output at a central analysis facility (PRIMAVERA Data Management Tool V2.10) J. Seddon et al. https://doi.org/10.5194/gmd-16-6689-2023
920. Kış Dönemi Yağış Anomalilerinin Gelecek Projeksiyonları: Balıkesir Örneği H. Uyguçgil & G. Adana Karaağaç https://doi.org/10.48123/rsgis.1943038
921. Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future D. Visioni et al. https://doi.org/10.5194/acp-23-5149-2023
922. Prediction of the soil water content in the Luanhe river basin based on CMIP6 T. Zhang et al. https://doi.org/10.1016/j.jclepro.2023.138852
923. Assessing the stability of terrestrial water storage to drought based on CMIP6 forcing scenarios W. Wei et al. https://doi.org/10.1016/j.jhydrol.2024.132232
924. Aurora Basin, the Weak Underbelly of East Antarctica T. Pelle et al. https://doi.org/10.1029/2019GL086821
925. A theoretical framework to understand sources of error in Earth System Model emulation C. Womack et al. https://doi.org/10.5194/esd-17-107-2026
926. Climate Change Scenarios in the Southern Caribbean region of Central America E. Alfaro et al. https://doi.org/10.15517/rev.biol.trop..v73iS1.64044
927. Role of atmospheric rivers in shaping long term Arctic moisture variability Z. Wang et al. https://doi.org/10.1038/s41467-024-49857-y
928. Evaluation of Leading Modes of Climate Variability in the CMIP Archives J. Fasullo et al. https://doi.org/10.1175/JCLI-D-19-1024.1
929. Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States A. Al-Yaari et al. https://doi.org/10.1038/s41598-018-38309-5
930. Climate Change of Near-Surface Temperature in South Africa Based on Weather Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13080161
931. Spatial variability and future susceptibility of thaw hazards on hillslopes across the Qinghai-Tibet Plateau J. Yang et al. https://doi.org/10.1016/j.gloplacha.2026.105647
932. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.4
933. Inter-model spread in the wintertime Arctic amplification in the CMIP6 models and the important role of internal climate variability K. Ye & G. Messori https://doi.org/10.1016/j.gloplacha.2021.103543
934. Evaluation of CMIP6 model skills in simulating tropical climate extremes over Malawi, Southern Africa B. Mmame & C. Ngongondo https://doi.org/10.1007/s40808-023-01867-3
935. The Urban River Syndrome: Achieving Sustainability Against a Backdrop of Accelerating Change M. Richardson & M. Soloviev https://doi.org/10.3390/ijerph18126406
936. Inferring the role of Interdecadal Pacific Oscillation phase on tropical-extratropical teleconnection dependencies M. Collier et al. https://doi.org/10.5194/npg-33-103-2026
937. Projected evolution of the Qiyi Glacier in the Qilian Mountains using the PyGEM with the calibration of glaciological mass balance Y. Huo et al. https://doi.org/10.1016/j.rcar.2024.09.005
938. Global warming amplified regional heatwave with nighttime preeminence outrun daytime heatwave D. Tofu et al. https://doi.org/10.1016/j.indic.2025.100986
939. Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic Y. Zou et al. https://doi.org/10.1038/s41467-021-26232-9
940. Present and future land surface and wet bulb temperatures in the Arabian Peninsula S. Safieddine et al. https://doi.org/10.1088/1748-9326/ac507c
941. Projecting multi-attribute flood regime changes for the Yangtze River basin C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128846
942. Evolution of global snow drought characteristics from 1850 to 2100 M. Cowherd et al. https://doi.org/10.1088/1748-9326/acd804
943. Exploring land surface air temperature changes: a detailed trend analysis through the lens of long-term memory C. Ma & N. Yuan https://doi.org/10.1007/s00382-025-07791-9
944. GERB Obs4MIPs: a dataset for evaluating diurnal and monthly variations in top-of-atmosphere radiative fluxes in climate models J. Russell et al. https://doi.org/10.5194/essd-16-4243-2024
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1105. Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford https://doi.org/10.5194/bg-18-509-2021
1106. Future increased risk from extratropical windstorms in northern Europe A. Little et al. https://doi.org/10.1038/s41467-023-40102-6
1107. Negligible global but substantial regional effect of vegetation greening on the 21st century permafrost Y. Ran et al. https://doi.org/10.1016/j.accre.2025.12.012
1108. Future heat-stress regimes under CMIP6: a multi-index assessment of persistence and human-relevant thermal constraints T. Lescure & D. Defrance https://doi.org/10.1007/s00704-026-06435-0
1109. Desert dunes transformed by end-of-century changes in wind climate A. Baas & L. Delobel https://doi.org/10.1038/s41558-022-01507-1
1110. Migration Evolves in Response to Distinct Regimes of Climate Seasonality in Tropical Versus Temperate‐Breeding Suboscine Birds E. Johns et al. https://doi.org/10.1002/ece3.71745
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1112. Global population densities, climate change, and the maximum monthly temperature threshold as a potential tipping point for high urban densities B. Hanberry https://doi.org/10.1016/j.ecolind.2021.108512
1113. The effect of climate change on the insecticide reduction goal in Southern Germany using the example of the pollen beetle L. Rasche et al. https://doi.org/10.1007/s41348-025-01075-4
1114. Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia P. Reggiani et al. https://doi.org/10.1002/joc.70261
1115. The simulation of mineral dust in the United Kingdom Earth System Model UKESM1 S. Woodward et al. https://doi.org/10.5194/acp-22-14503-2022
1116. Sustainable grazing strategies for balancing soil conservation and grassland utilization under climate change L. Liu et al. https://doi.org/10.1016/j.eja.2026.128062
1117. Increased aerosol scattering contributes to the recent monsoon rainfall decrease over the Gangetic Plain T. Ying et al. https://doi.org/10.1016/j.scib.2023.08.052
1118. Risk Assessment of Arctic Navigability under Different Emission Scenarios Simulated by CMIP6 Models from 2015 to 2100 千. 高 https://doi.org/10.12677/ccrl.2026.154077
1119. Highest ocean heat in four centuries places Great Barrier Reef in danger B. Henley et al. https://doi.org/10.1038/s41586-024-07672-x
1120. Future Landslide Characteristic Assessment Using Ensemble Climate Change Scenarios: A Case Study in Taiwan Y. Chen et al. https://doi.org/10.3390/w12020564
1121. Estimated climate impact of replacing agriculture as the primary food production system A. MacDougall et al. https://doi.org/10.1088/1748-9326/ac3aa5
1122. Typicality of the 2021 Western North America summer heatwave V. Lucarini et al. https://doi.org/10.1088/1748-9326/acab77
1123. Predicting the dissolved natural organic matter (DNOM) concentration and the specific ultraviolet absorption (sUVa) index in a browning central European stream S. Haaland et al. https://doi.org/10.1016/j.ecolind.2024.112200
1124. Invasion risk assessment, suitability regions prediction and influencing factors analysis of exotic sturgeon and paddlefish in the Yangtze River Basin L. Aopu et al. https://doi.org/10.18307/2023.0531
1125. Impacts of Mt Pinatubo volcanic aerosol on the tropical stratosphere in chemistry–climate model simulations using CCMI and CMIP6 stratospheric aerosol data L. Revell et al. https://doi.org/10.5194/acp-17-13139-2017
1126. Seasonal dynamics of Gulf Stream–Kuroshio SST coupling: the role of hemispheric atmospheric teleconnections M. Dong et al. https://doi.org/10.1007/s00382-026-08135-x
1127. Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.2
1128. Future large-scale atmospheric circulation changes and Greenland precipitation B. Huai et al. https://doi.org/10.1038/s41612-025-00899-z
1129. Seasonally dependent changes in the North Pacific subtropical anticyclone during the mid-Holocene: Dominant role of mid-latitude baroclinicity S. Liu & D. Jiang https://doi.org/10.1016/j.gloplacha.2025.105028
1130. Anthropogenic and urban controls on Japan’s surface warming over the past 130 years J. Yuan et al. https://doi.org/10.1016/j.cacint.2026.100369
1131. Sensitivity of Labrador Sea Water Formation to Changes in Model Resolution, Atmospheric Forcing, and Freshwater Input Y. Garcia‐Quintana et al. https://doi.org/10.1029/2018JC014459
1132. The distribution and driving climatic factors of agricultural drought in China: Past and future perspectives X. Yu et al. https://doi.org/10.1016/j.jenvman.2025.124599
1133. The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. https://doi.org/10.1029/2018MS001370
1134. Catastrophe risk models as quantitative tools for climate change loss and damage: A demonstration for flood in Malawi, Vietnam, and the Philippines E. Galloway et al. https://doi.org/10.63024/0y4e-cdqp
1135. On the Effects of Mixed and Deep Ocean Layers on Climate Change and Variability S. Soldatenko https://doi.org/10.3390/jmse10091216
1136. Predicting Naegleria fowleri freshwater habitat suitability in the United States for the present-day and future using ecological niche modeling L. Stahl et al. https://doi.org/10.1016/j.watres.2025.124018
1137. Contrasting Responses of Wind and Solar Energy Potential to Forestation-Induced Climate Feedbacks Z. Zhu et al. https://doi.org/10.1021/acs.est.5c12835
1138. Thermoeconomic optimization of climate-adaptive solar and wind multi-generation systems using artificial intelligence and thermal energy recovery E. Assareh et al. https://doi.org/10.1016/j.engappai.2025.112481
1139. Nutrient Limitations Lead to a Reduced Magnitude of Disequilibrium in the Global Terrestrial Carbon Cycle N. Wei et al. https://doi.org/10.1029/2021JG006764
1140. Assessing the Performance of Regional Climate Model Wind Speeds Over Canada M. Morris & E. Diaconescu https://doi.org/10.1002/joc.8912
1141. ENSO and PDO drive shoreline position anomalies in the US Pacific Northwest M. Taherkhani et al. https://doi.org/10.1093/pnasnexus/pgaf404
1142. Amplified seasonal range in precipitation minus evaporation R. Allan https://doi.org/10.1088/1748-9326/acea36
1143. Future changes in rainy season characteristics over East China under continuous warming J. Piao et al. https://doi.org/10.1007/s10584-023-03598-x
1144. Anthropogenic influence on compound dry and hot events in China based on Coupled Model Intercomparison Project Phase 6 models X. Wu et al. https://doi.org/10.1002/joc.7473
1145. Uncertainty decomposition and quantification of seasonal precipitation forecasting based on Bayesian neural networks E. Pinheiro & T. Ouarda https://doi.org/10.1016/j.atmosres.2026.108815
1146. Robustness of Competing Climatic States C. Ragon et al. https://doi.org/10.1175/JCLI-D-21-0148.1
1147. Assessing the Vulnerability of Water Balance to Climate Change at River Basin Scale in Humid Tropics: Implications for a Sustainable Water Future K. Sadhwani & T. Eldho https://doi.org/10.3390/su15119135
1148. Assessing hydrological interactions, soil erosion intensities, and vegetation dynamics in Nyabarongo River tributaries: a SWAT and RUSLE modeling approach S. Uwamahoro et al. https://doi.org/10.1007/s40808-024-02013-3
1149. Assessing the spatio-temporal variability of the monthly southern annular mode in coupled model intercomparison project phase 6 models D. Mbigi et al. https://doi.org/10.1007/s00703-026-01120-3
1150. Dust emission response to precipitation and temperature anomalies under different climatic conditions Y. Aryal & S. Evans https://doi.org/10.1016/j.scitotenv.2023.162335
1151. Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning C. Heuzé & C. Wong https://doi.org/10.5194/tc-19-6043-2025
1152. A novel method for ranking CMIP6 global climate models over the southeast Asian region Q. Desmet & T. Ngo‐Duc https://doi.org/10.1002/joc.7234
1153. Climate change will likely threaten areas of suitable habitats for the most relevant medicinal plants native to the Caatinga dry forest J. Silva et al. https://doi.org/10.15451/ec2022-06-11.15-1-24
1154. Internal Variability of the Climate System Mirrored in Decadal‐Scale Trends of Surface Solar Radiation B. Chtirkova et al. https://doi.org/10.1029/2023JD038573
1155. Greening of Eurasia's center driven by low-latitude climate warming S. Wang et al. https://doi.org/10.1016/j.fecs.2025.100330
1156. Climate simulations: recognize the ‘hot model’ problem Z. Hausfather et al. https://doi.org/10.1038/d41586-022-01192-2
1157. A novel multivariate ecological approach to modeling freshwater mussel habitats verified by ground truthing A. Laszlo et al. https://doi.org/10.1007/s10750-022-04913-w
1158. Differentiated Climate Drivers of Carbon and Water Use Efficiencies Across Land Use Types in the Yellow River Basin, China X. Tang et al. https://doi.org/10.3390/land14081614
1159. Effects of climate change on the ecological niche of common hornbeam (Carpinus betulus L.) D. Gülçin et al. https://doi.org/10.1016/j.ecoinf.2021.101478
1160. Simulations of shoaling large-amplitude internal waves: perspectives and outlook M. Stastna & S. Legare https://doi.org/10.1017/flo.2024.9
1161. Trophic interactions and climate-driven range dynamics of native and invasive catfish in freshwater ecosystems S. Başkurt et al. https://doi.org/10.3897/neobiota.105.174895
1162. Digital twins of the Earth with and for humans W. Hazeleger et al. https://doi.org/10.1038/s43247-024-01626-x
1163. Unraveling the coupled HighResMIP-CMIP6 models resolution impacts in present climate and future projections of water availability over South America N. da Silva et al. https://doi.org/10.3389/feart.2025.1537081
1164. Exposure of wetlands important for nonbreeding waterbirds to sea‐level rise in the Mediterranean F. Verniest et al. https://doi.org/10.1111/cobi.14288
1165. Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations A. A A et al. https://doi.org/10.1088/1748-9326/ab92c1
1166. Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data I. Mohammed et al. https://doi.org/10.5194/hess-27-3621-2023
1167. Assessing the Impacts of Land Cover and Climate Changes on Streamflow Dynamics in the Río Negro Basin (Colombia) Under Present and Future Scenarios B. Botero et al. https://doi.org/10.3390/hydrology12110281
1168. Reassessing water availability in the Nile River Basin using satellite-based irrigation water use accounting M. Deribe et al. https://doi.org/10.1088/2515-7620/ae9e8a
1169. Direct and Indirect Effects—An Information Theoretic Perspective G. Schamberg et al. https://doi.org/10.3390/e22080854
1170. Global Sensitivity Analysis Using the Ultra‐Low Resolution Energy Exascale Earth System Model I. Tezaur et al. https://doi.org/10.1029/2021MS002831
1171. Integrating explainable AI and causal inference to unveil regional air quality drivers in China Z. Fu et al. https://doi.org/10.1016/j.jenvman.2025.126270
1172. Spatiotemporal evolution of global soil heavy metal(loid)s mobility under climate change W. Jiao et al. https://doi.org/10.1016/j.envpol.2026.128828
1173. Future climate-driven escalation of Southeastern Siberia wildfires revealed by deep learning K. Gui et al. https://doi.org/10.1038/s41612-024-00815-x
1174. Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies M. Ashfaq et al. https://doi.org/10.1029/2022JD036659
1175. Projected increase in summer heat-dome-like stationary waves over Northwestern North America Z. Chen et al. https://doi.org/10.1038/s41612-023-00511-2
1176. Solar Radiation and Climate Change Research: A Comprehensive Bibliometric Analysis (1991–2025) A. Botsalı https://doi.org/10.3390/atmos17060597
1177. Past and future wheat yield losses in France’s breadbasket R. Nóia-Júnior et al. https://doi.org/10.1016/j.fcr.2024.109703
1178. Towards a fit-for-purpose fire simulator ecosystem H. Clarke et al. https://doi.org/10.1186/s42408-026-00566-5
1179. Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China Y. Meng et al. https://doi.org/10.1088/1748-9326/ac8e86
1180. Three billion urban residents can avoid unprecedented future heat H. Lewis & L. Harrington https://doi.org/10.1007/s10584-026-04176-7
1181. Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. https://doi.org/10.1007/s10113-022-02008-9
1182. GISS Model E2.2: A Climate Model Optimized for the Middle Atmosphere—2. Validation of Large‐Scale Transport and Evaluation of Climate Response C. Orbe et al. https://doi.org/10.1029/2020JD033151
1183. The impact of horizontal resolution on the representation of atmospheric circulation types in Western Europe using the MPI‐ESM model C. Ibebuchi https://doi.org/10.1002/joc.8214
1184. Predicting the future of the Caatinga endemic Melocactus pachyacanthus under climate and anthropogenic landscape changes F. Santos Bomfim et al. https://doi.org/10.1007/s44396-026-00042-z
1185. Deriving High-Resolution Estimation of TOA Net Shortwave Radiation Over Global Land Using Data From Multiple-Geostationary Satellites Y. Zheng et al. https://doi.org/10.1109/TGRS.2024.3440329
1186. Engaging with stakeholders to produce actionable science: a framework and guidance A. Bamzai-Dodson et al. https://doi.org/10.1175/WCAS-D-21-0046.1
1187. Effects of human activities and low-frequency climate variability on East Asian temperature changes at century scale C. Lu & Y. Sun https://doi.org/10.1016/j.accre.2025.04.002
1188. Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6 I. Nooni et al. https://doi.org/10.3390/ijerph18136760
1189. Do Meteorological, Agricultural, and Hydrological Indicators All Point to an Increased Frequency and Intensity of Droughts Across Canada Under a Changing Climate? B. Bonsal et al. https://doi.org/10.1080/07055900.2025.2453678
1190. Historical and projected changes in Extreme High Temperature events over East Africa and associated with meteorological conditions using CMIP6 models P. Das et al. https://doi.org/10.1016/j.gloplacha.2023.104068
1191. Data-driven stochastic model for cross-interacting processes with different time scales A. Gavrilov et al. https://doi.org/10.1063/5.0077302
1192. Reduced Arctic Ocean CO2 uptake due to coastal permafrost erosion D. Nielsen et al. https://doi.org/10.1038/s41558-024-02074-3
1193. Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44 J. Baño-Medina et al. https://doi.org/10.5194/gmd-15-6747-2022
1194. Increased impact of the El Niño–Southern Oscillation on global vegetation under future warming environment T. Le https://doi.org/10.1038/s41598-023-41590-8
1195. Effect of anthropogenic forcing on increased winter precipitation in Southeast Asia from 1979 to 2014 Z. Dong et al. https://doi.org/10.3389/fenvs.2022.1115698
1196. Relative Impacts of Simultaneous Stressors on a Pelagic Marine Ecosystem P. Woodworth-Jefcoats et al. https://doi.org/10.3389/fmars.2019.00383
1197. Les pertes économiques contemporaines et futures liées aux passages des cyclones tropicaux : une étude de cas pour La Réunion I. Fontaine et al. https://doi.org/10.3917/reco.753.0425
1198. Glacier melt trough after overshoot A. Lutz https://doi.org/10.1038/s41558-025-02312-2
1199. Understanding Surface Air Temperature Cold Bias Over China in CMIP6 Models L. Wang et al. https://doi.org/10.1029/2023JD039515
1200. Historical and projected low-frequency variability in the Somali Jet and Indian Summer Monsoon S. Jain et al. https://doi.org/10.1007/s00382-020-05492-z
1201. Historical performance and future climate projections from CMIP6 models in central-eastern Argentina G. Müller et al. https://doi.org/10.1071/ES25027
1202. Rapid climate change alters the environment and biological production of the Indian Ocean P. Dalpadado et al. https://doi.org/10.1016/j.scitotenv.2023.167342
1203. Arctic sea ice–air interactions weaken El Niño–Southern Oscillation J. Deng & A. Dai https://doi.org/10.1126/sciadv.adk3990
1204. Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al. https://doi.org/10.5194/acp-26-2293-2026
1205. Emerging global freshwater challenges unveiled through observation-constrained projections F. Huo et al. https://doi.org/10.5194/esd-17-291-2026
1206. Incorporating plant phenological responses into species distribution models reduces estimates of future species loss and turnover S. Peng et al. https://doi.org/10.1111/nph.19698
1207. The effect of climate change on Arcto‐Tertiary Mexican beech forests: Exploring their past, present, and future distribution F. Ames‐Martínez et al. https://doi.org/10.1002/ece3.9228
1208. The effect of rapid adjustments to halocarbons and N2O on radiative forcing Ø. Hodnebrog et al. https://doi.org/10.1038/s41612-020-00150-x
1209. Identifying thermal traps and refugia for enhancing climate connectivity to mitigate species' heat exposure risk in natural landscapes X. Lu et al. https://doi.org/10.1016/j.eiar.2026.108680
1210. Reviews and syntheses: Carbonyl sulfide as a multi-scale tracer for carbon and water cycles M. Whelan et al. https://doi.org/10.5194/bg-15-3625-2018
1211. Causes of model dry and warm bias over central U.S. and impact on climate projections Y. Lin et al. https://doi.org/10.1038/s41467-017-01040-2
1212. Evaluation and projections of summer daily precipitation over Northeastern China in an optimal CMIP6 Multimodel Ensemble Z. LI & X. Jiao https://doi.org/10.1007/s00382-024-07201-6
1213. Projected Changes in Socioeconomic Exposure to Heatwaves in South Asia Under Changing Climate I. Ullah et al. https://doi.org/10.1029/2021EF002240
1214. Unraveling the Arctic Sea Ice Change since the Middle of the Twentieth Century N. Kong & W. Liu https://doi.org/10.3390/geosciences13020058
1215. Assessment of climate biases in OpenIFS version 43r3 across model horizontal resolutions and time steps A. Savita et al. https://doi.org/10.5194/gmd-17-1813-2024
1216. Evaluating Climate Models with the CLIVAR 2020 ENSO Metrics Package Y. Planton et al. https://doi.org/10.1175/BAMS-D-19-0337.1
1217. The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.166820
1218. Impacts of Climate Change on the Potential Distribution of Three Cytospora Species in Xinjiang, China Q. Li et al. https://doi.org/10.3390/f15091617
1219. Using Machine Learning to Make Computationally Inexpensive Projections of 21st Century Stratospheric Column Ozone Changes in the Tropics J. Keeble et al. https://doi.org/10.3389/feart.2020.592667
1220. Spurious Late Historical‐Era Warming in CESM2 Driven by Prescribed Biomass Burning Emissions J. Fasullo et al. https://doi.org/10.1029/2021GL097420
1221. Equilibrium climate sensitivity above 5 °C plausible due to state-dependent cloud feedback J. Bjordal et al. https://doi.org/10.1038/s41561-020-00649-1
1222. The impacts of plant physiological responses to rising CO2 on humidity-based extreme heat A. Cornish et al. https://doi.org/10.1038/s41612-025-01018-8
1223. Detecting Relationship between the North–South Difference in Extreme Precipitation and Solar Cycle in China J. Liu et al. https://doi.org/10.3390/atmos15020175
1224. The CAMS Climate System Model and a Basic Evaluation of Its Climatology and Climate Variability Simulation X. Rong et al. https://doi.org/10.1007/s13351-018-8058-x
1225. Dynamical downscaling of CMIP6 scenarios with ENEA-REG: an impact-oriented application for the Med-CORDEX region A. Anav et al. https://doi.org/10.1007/s00382-023-07064-3
1226. Building and urban simulation under future climate: A novel statistical downscaling method for future hourly weather data generation P. Shen https://doi.org/10.1007/s12273-025-1277-z
1227. Warming waters of the Central Karakoram: modeling streamflow responses of the Shigar Basin, northern Pakistan to climate change M. Afreen et al. https://doi.org/10.1186/s40068-026-00467-1
1228. Impact of soil temperature and moisture in autumn on the following spring extreme precipitation in the arid area of Northwest China S. Wu et al. https://doi.org/10.1007/s00382-026-08314-w
1229. Investigating the Effect of Climate Change on Drought Propagation in the Tarim River Basin Using Multi-Model Ensemble Projections X. Ding et al. https://doi.org/10.3390/atmos15010050
1230. Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches J. González‐Abad et al. https://doi.org/10.1029/2023MS003641
1231. Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6 A. Cannon https://doi.org/10.1088/1748-9326/ab7e4f
1232. Risks of unavoidable impacts on forests at 1.5 °C with and without overshoot G. Munday et al. https://doi.org/10.1038/s41558-025-02327-9
1233. Arctic summer sea ice loss will accelerate in coming decades A. Poltronieri et al. https://doi.org/10.1088/1748-9326/ad5194
1234. Revisiting the value of climate mitigation: labor productivity and health co-benefits from heat exposure in Asia C. Fu & X. Wang https://doi.org/10.1016/j.eap.2026.07.044
1235. Global CMIP6-based datasets of vegetation-responsive and feedback-deflated potential evapotranspiration D. Kim et al. https://doi.org/10.1038/s41597-026-07553-0
1236. Implications of global climate change to local archaeology: why melting arctic sea ice matters to the practice of Southeastern archaeology L. Cochran https://doi.org/10.1080/0734578X.2026.2662715
1237. Multifaceted characteristics of dryland aridity changes in a warming world X. Lian et al. https://doi.org/10.1038/s43017-021-00144-0
1238. Accelerated Greenland Ice Sheet melt influences South Asian precipitation S. Shrayasi et al. https://doi.org/10.1088/2752-5295/ae679a
1239. An 8-model ensemble of CMIP6-derived ocean surface wave climate A. Meucci et al. https://doi.org/10.1038/s41597-024-02932-x
1240. Coupling PLUS–InVEST Model for Ecosystem Service Research in Yunnan Province, China R. Wang et al. https://doi.org/10.3390/su15010271
1241. CMIP6 captures the satellite-era jet slowdown and Arctic amplification, yet projects future jet speedup and tropical amplification R. Robinson et al. https://doi.org/10.1007/s00382-023-06839-y
1242. Species distribution modeling of two rare endemic Myrtaceae from the Brazilian Atlantic Forest: challenges in conserving “invisible species” A. Augustin et al. https://doi.org/10.1016/j.flora.2025.152854
1243. Evolution and drivers of surface solar radiation over China since the mid-twentieth century A. Li et al. https://doi.org/10.1007/s00382-026-08318-6
1244. Improving simulation of Earth system variability through weakly coupled ocean data assimilation in E3SM P. Shi et al. https://doi.org/10.5194/gmd-19-8003-2026
1245. Prediction of Potential Suitable Areas of Medicinal Plants of Gentiana Sect. Cruciata in China Under Climate Change L. Zhou et al. https://doi.org/10.3390/d18090540
1246. Uncertainties in the Projected Patterns of Wave-Driven Longshore Sediment Transport Along a Non-straight Coastline A. Zarifsanayei et al. https://doi.org/10.3389/fmars.2022.832193
1247. Role of sea surface temperature patterns for the Southern Hemisphere jet stream response to CO2 forcing T. Wood et al. https://doi.org/10.1088/1748-9326/abce27
1248. Attributing decadal climate variability in coastal sea-level trends S. Royston et al. https://doi.org/10.5194/os-18-1093-2022
1249. A drier Orinoco basin during the twenty-first century: the role of the Orinoco low-level jet I. Correa et al. https://doi.org/10.1007/s00382-023-07028-7
1250. Back to the Future: Using Long-Term Observational and Paleo-Proxy Reconstructions to Improve Model Projections of Antarctic Climate T. Bracegirdle et al. https://doi.org/10.3390/geosciences9060255
1251. Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian https://doi.org/10.5194/hess-28-669-2024
1252. A Few Frontier Issues in Ocean Engineering Mechanics J. Li & B. Nie https://doi.org/10.1007/s13344-021-0001-8
1253. Projected Climate Change Impacts on Rainwater Harvesting in Brazilian Single-Family Houses I. Vaz et al. https://doi.org/10.3390/w18070792
1254. Back-to-back high category atmospheric river landfalls occur more often on the west coast of the United States Y. Zhou et al. https://doi.org/10.1038/s43247-024-01368-w
1255. Performance evaluation of CMIP6 in simulating extreme precipitation in Madagascar M. Rabezanahary Tanteliniaina et al. https://doi.org/10.1007/s00704-024-04868-z
1256. Projected Changes in the Atmospheric Dynamics of Climate Extremes in France P. Yiou et al. https://doi.org/10.3390/atmos12111440
1257. Teleconnection and the Antarctic response to the Indian Ocean Dipole in CMIP5 and CMIP6 models A. Sen et al. https://doi.org/10.1002/qj.4854
1258. Evaluation and selection of CMIP6 GCMs for the characterization of temperature and precipitation in Central-Western Argentina G. Marianetti et al. https://doi.org/10.1007/s00704-024-05123-1
1259. Representation of the Mozambique channel trough and its link to southern African rainfall in CMIP6 models R. Barimalala et al. https://doi.org/10.1007/s00382-022-06480-1
1260. Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO F. Wu et al. https://doi.org/10.2166/nh.2023.140
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1378. Building Climate-Resilient Solar–Wind Hybrid Energy Systems Across Monsoon-Affected Regions of Vietnam, Thailand, the Philippines, and Indonesia G. Hao et al. https://doi.org/10.3390/pr14040682
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1399. Challenges simulating the AMOC in climate models L. Jackson et al. https://doi.org/10.1098/rsta.2022.0187
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1422. Nationwide recycled steel slag pavements can stimulate sustainable urban transportation Z. Zhang et al. https://doi.org/10.1038/s43247-026-04056-z
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1426. Hydro-climatological changes and mine water management challenges in Canada under climate change W. Palash et al. https://doi.org/10.1088/1748-9326/adf762
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1471. Deadly April heatwaves will be new normal in South Asia T. Ding et al. https://doi.org/10.1007/s00704-026-06480-9
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1473. Climate-informed irrigation and nitrogen strategies for Boro rice sustainability: DSSAT-CERES modeling under CMIP6 projections M. Islam et al. https://doi.org/10.1016/j.agwat.2026.110642
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1476. Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. https://doi.org/10.1029/2019GL085782
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1484. North‐West Europe Hottest Days Are Warming Twice as Fast as Mean Summer Days M. Patterson https://doi.org/10.1029/2023GL102757
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1500. Assessing Hydroclimatic Extremes in the Iberian Peninsula Under Future Emission Scenarios C. Andrade et al. https://doi.org/10.3390/w18192381
1501. CMIP6 GCM Validation Based on ECS and TCR Ranking for 21st Century Temperature Projections and Risk Assessment N. Scafetta https://doi.org/10.3390/atmos14020345
1502. Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. https://doi.org/10.1029/2022EF003106
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1505. Assessing the impact of ice thickness uncertainty on future glacier evolution in the Himalayas using a higher-order glacier flow model X. Qi et al. https://doi.org/10.1016/j.jhydrol.2026.135450
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1508. Greater Impacts of Summer Central Pacific ENSO on the Cross-Equatorial Flows over the Maritime Continent Compared with Eastern Pacific ENSO X. Zhao et al. https://doi.org/10.1007/s00376-025-4527-1
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1534. The Impacts of Changes in Near-Term Climate Forcers on East Asia’s Climate H. Sung et al. https://doi.org/10.3390/cli13090191
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1550. Evaluation of the Performance of CMIP6 Climate Models in Simulating Rainfall over the Philippines S. Ignacio-Reardon & J. Luo https://doi.org/10.3390/atmos14091459
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1557. Impact of Climate Change on Streamflow in the Middle–Upper Reaches of the Weihe River Basin, China Y. Zhang et al. https://doi.org/10.1061/JHYEFF.HEENG-5825
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1565. Optimizing sustainable and multifunctional management of Alpine Forests under climate change L. Bont et al. https://doi.org/10.1038/s41598-025-12001-x
1566. An Investigation of the SOCOLv4 Model’s Suitability for Predicting the Future Evolution of the Total Column Ozone G. Nerobelov et al. https://doi.org/10.3390/atmos15121491
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1568. Ventilation of the deep Gulf of Mexico and potential insights to the Atlantic Meridional Overturning Circulation R. Amon et al. https://doi.org/10.1126/sciadv.ade1685
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1663. Radiation budget in RegCM4: simulation results from two radiative schemes over the South West Indian Ocean P. Li et al. https://doi.org/10.3354/cr01669
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1684. Climate-driven habitat shifts reveal contrasting climate association of four Stipa species in Central Asia . Aogan et al. https://doi.org/10.3389/fpls.2026.1815614
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1697. Fewer Troughs, Not More Ridges, Have Led to a Drying Trend in the Western United States W. Zhang et al. https://doi.org/10.1029/2021GL097089
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1702. Inconsistent Coral Bleaching Risk Indicators Between Temperature Data Sources V. Neo et al. https://doi.org/10.1029/2022EA002688
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1710. Superiority of a Convolutional Neural Network Model over Dynamical Models in Predicting Central Pacific ENSO T. Wang & P. Huang https://doi.org/10.1007/s00376-023-3001-1
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1723. Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds J. Shaw et al. https://doi.org/10.1029/2021GL096191
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1725. Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. https://doi.org/10.3390/agriculture12111791
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1728. Preliminary assessment of historical and future scenarios of Italian Primitivo wine grapes in Apulian climate under different shared socioeconomic pathways V. Alba et al. https://doi.org/10.1007/s00704-024-04839-4
1729. How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa? H. Babaousmail et al. https://doi.org/10.3390/hydrology11070106
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1735. Effects of climate change on PM2.5 formation chemistry, and the associated human health impacts and economic costs in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109835
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1745. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
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1750. On warm bias and mesoscale dynamics setting the Southern Ocean large-scale circulation mean state M. Zeller & T. Martin https://doi.org/10.1016/j.ocemod.2024.102426
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1773. Assessment of a New Fire Risk Index for the Atlantic Forest, Brazil R. Delgado et al. https://doi.org/10.3390/f13111844
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1778. Greenhouse Warming Reduces Global Energy Conversion Into Oceanic Lee Waves Z. Yang et al. https://doi.org/10.1029/2023GL104467
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1785. À quel climat futur adapter les activités économiques en France ? J. Soubeyroux https://doi.org/10.3917/re1.118.0007
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1787. A templex-based study of the Atlantic Meridional Overturning Circulation dynamics in idealized chaotic models C. Mosto et al. https://doi.org/10.1063/5.0231713
1788. Winter Dormant Wheat Will Benefit From Mean Temperature Increase of 2°C When Well‐Watered and Fertilized in the Main Producing Regions of China R. Wang et al. https://doi.org/10.1111/gcb.70324
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1790. Understanding changes in cloud simulations from E3SM version 1 to version 2 Y. Zhang et al. https://doi.org/10.5194/gmd-17-169-2024
1791. Variations in mineralogy of dust in an ice core obtained from northwestern Greenland over the past 100 years N. Nagatsuka et al. https://doi.org/10.5194/cp-17-1341-2021
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1794. Climate Change Will Lead to a Significant Reduction in the Global Cultivation of Panicum milliaceum P. Jiang et al. https://doi.org/10.3390/atmos14081297
1795. Climate Projections for the Southern Ocean Reveal Impacts in the Marine Microbial Communities Following Increases in Sea Surface Temperature M. Tonelli et al. https://doi.org/10.3389/fmars.2021.636226
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1798. Projected future temperature, precipitation, and drought conditions in the Muger River sub-basin, central Ethiopia, using CMIP6 models G. Gebreegziabher et al. https://doi.org/10.1007/s44292-025-00051-9
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1801. Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California K. Musselman et al. https://doi.org/10.5194/tc-11-2847-2017
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1804. Historical Simulations With HadGEM3‐GC3.1 for CMIP6 M. Andrews et al. https://doi.org/10.1029/2019MS001995
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1809. Predicting climate change impacts on the distribution of vereda wetland plant species in the Brazilian Cerrado L. Passos et al. https://doi.org/10.1093/aob/mcaf120
1810. Climatic pacing of extreme Nile floods during the North African Humid Period C. Blanchet et al. https://doi.org/10.1038/s41561-024-01471-9
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1814. Interaction between Arctic sea ice and the Atlantic meridional overturning circulation in a warming climate W. Liu & A. Fedorov https://doi.org/10.1007/s00382-021-05993-5
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1817. A Possible Approach for Decadal Prediction of the PDO Y. Huang & H. Wang https://doi.org/10.1007/s13351-020-9144-4
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1820. Statistical calibrations to improve the 2–5-year prediction skill for SST over the North Atlantic M. Pan et al. https://doi.org/10.1007/s00703-022-00888-4
1821. Future runoff simulation based on different typical climate models: a case study in the Yalong River basin W. Feng et al. https://doi.org/10.1038/s41598-026-51969-y
1822. The Yangtze River Delta experienced strong seasonality and regular summer upwelling during the warm mid-Holocene M. Alberti et al. https://doi.org/10.1038/s43247-024-01668-1
1823. Intraseasonal shift in the wintertime North Atlantic jet structure projected by CMIP6 models M. García-Burgos et al. https://doi.org/10.1038/s41612-024-00775-2
1824. Human influence on the recent weakening of storm tracks in boreal summer R. Chemke & D. Coumou https://doi.org/10.1038/s41612-024-00640-2
1825. Anthropogenic climate change is worsening North American pollen seasons W. Anderegg et al. https://doi.org/10.1073/pnas.2013284118
1826. Projected Hydroclimate Changes on Hispaniola Island through the 21st Century in CMIP6 Models D. Herrera et al. https://doi.org/10.3390/atmos12010006
1827. The Asymmetric Response of the Spring and Autumn Atmospheric Circulation over East Asia to a Warming Climate A. KITOH & H. ENDO https://doi.org/10.2151/jmsj.2025-028
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1830. Influence of Anthropogenic Activities on Elevation‐Dependent Weakening of Annual Temperature Cycle Amplitude Over the Tibetan Plateau L. Zhu et al. https://doi.org/10.1029/2021GL095494
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1832. Hadley cell expansion in CMIP6 models K. Grise & S. Davis https://doi.org/10.5194/acp-20-5249-2020
1833. The time of emergence of climate-induced hydrologic change in Australian rivers A. John et al. https://doi.org/10.1016/j.jhydrol.2023.129371
1834. Emergent Constraints on Future Changes in Several Climate Variables and Extreme Indices from Global to Regional Scales H. Shiogama et al. https://doi.org/10.2151/sola.2024-017
1835. Global sensitivity of tropospheric ozone to precursor emissions in clean and present-day atmospheres: insights from AerChemMIP simulations W. Wang & C. Gao https://doi.org/10.5194/acp-25-14535-2025
1836. Improving access and use of climate projections for ecological research through the use of a new Python tool A. Paz et al. https://doi.org/10.1111/ecog.07186
1837. Decadal climate predictions improved by ocean ensemble dispersion filtering C. Kadow et al. https://doi.org/10.1002/2016MS000787
1838. Can we trust CMIP5/6 future projections of European winter precipitation? E. Moreno-Chamarro et al. https://doi.org/10.1088/1748-9326/abf28a
1839. Equatorward shift of marine heatwaves centroids in the Atlantic Ocean X. Ji et al. https://doi.org/10.1038/s41612-026-01426-4
1840. Impact of climate change on Colombian Pacific coast mangrove bivalves distribution J. Selvaraj & C. Portilla-Cabrera https://doi.org/10.1016/j.isci.2024.110473
1841. Evaluating the potential of iron-based interventions in methane reduction and climate mitigation D. Meidan et al. https://doi.org/10.1088/1748-9326/ad3d72
1842. Understanding future changes of Chlorophyll-a in the Indian Ocean using CMIP6 Earth System Model simulations A. K. et al. https://doi.org/10.1016/j.dsr2.2025.105458
1843. Observation-constrained projections reveal less increase in future global terrestrial evapotranspiration Y. Luo & N. Ma https://doi.org/10.1016/j.agrformet.2026.111343
1844. Last Glacial Maximum climate and atmospheric circulation over the Australian region from climate models Y. Du et al. https://doi.org/10.5194/cp-20-393-2024
1845. Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1 T. Schwitalla et al. https://doi.org/10.5194/gmd-13-1959-2020
1846. Relative and Combined Impacts of Climate and Land Use/Cover Change for the Streamflow Variability in the Baro River Basin (BRB) S. Kassaye et al. https://doi.org/10.3390/earth5020008
1847. A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region J. Jin et al. https://doi.org/10.1029/2022JD037957
1848. Weakening of carbon sink on the Qinghai–Tibet Plateau T. Wu et al. https://doi.org/10.1016/j.geoderma.2022.115707
1849. Improving the hindcast of the northward shift of South Asian high in June with machine learning F. Zeng et al. https://doi.org/10.1016/j.atmosres.2023.107173
1850. Micrometeorological variability and climate change affect snake overwintering habitat resilience R. Fallas et al. https://doi.org/10.1016/j.ecochg.2026.100108
1851. Logarithmic CO2 warming reverses North Atlantic winter atmospheric circulation changes R. Chemke & I. Mitevski https://doi.org/10.1038/s41612-025-01314-3
1852. Long-term ambient temperature and asthma severity and hospitalization in children: a population-based study F. Makrufardi et al. https://doi.org/10.1007/s00431-026-07032-z
1853. Projection of future climate change in the Poyang Lake Basin of China under the global warming of 1.5–3°C M. Zhang et al. https://doi.org/10.3389/fenvs.2022.985145
1854. Poleward Shift in the Southern Hemisphere Westerly Winds Synchronous With the Deglacial Rise in CO2 W. Gray et al. https://doi.org/10.1029/2023PA004666
1855. Emit now, mitigate later? Earth system reversibility under overshoots of different magnitudes and durations J. Schwinger et al. https://doi.org/10.5194/esd-13-1641-2022
1856. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. https://doi.org/10.5194/gmd-13-977-2020
1857. An uncertain future change in aridity over the tropics P. Monerie et al. https://doi.org/10.1088/1748-9326/ad42b8
1858. Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau H. Li et al. https://doi.org/10.1016/j.ecolind.2024.112507
1859. Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities J. Wang et al. https://doi.org/10.1038/s41558-021-01196-2
1860. Projected Changes in Hot, Dry, and Compound Hot‐Dry Extremes Over Global Land Regions P. De Luca & M. Donat https://doi.org/10.1029/2022GL102493
1861. CMIP6 projections of spatiotemporal changes in rainfall and droughts over India P. Naskar et al. https://doi.org/10.1007/s12040-023-02143-9
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1865. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
1866. Is the recently enhanced mesoscale convective systems in East Asia due to global warming or decadal variability? Z. Lin et al. https://doi.org/10.1088/1748-9326/ae4fe6
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1868. Variability of the M2 internal tides in the Luzon Strait under climate change Z. Guo et al. https://doi.org/10.1007/s00382-024-07148-8
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1870. Mean State of the Northern Hemisphere Stratospheric Polar Vortex in Three Generations of CMIP Models J. Rao et al. https://doi.org/10.1175/JCLI-D-21-0694.1
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1872. Poleward shifts in marine fisheries under Arctic warming P. Fauchald et al. https://doi.org/10.1088/1748-9326/ac1010
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1874. A qualitative assessment of integrated active cooling systems: A review with a focus on system flexibility and climate resilience E. Elnagar et al. https://doi.org/10.1016/j.rser.2023.113179
1875. Increase in Indian summer monsoon precipitation as a response to doubled atmospheric CO2: CMIP6 simulations and projections P. Khardekar et al. https://doi.org/10.1007/s00704-023-04612-z
1876. Spatiotemporal Distribution of CO in the UTLS Region in the Asian Summer Monsoon Season: Analysis of MLS Observations and CMIP6 Simulations Z. Liang et al. https://doi.org/10.3390/rs15020367
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1942. The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. https://doi.org/10.5194/acp-20-10401-2020
1943. Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi) N. Butchart et al. https://doi.org/10.5194/gmd-11-1009-2018
1944. Selection of CMIP6 climate models and future climatic projection in the Gandaki River Basin, Nepal S. Lamichhane et al. https://doi.org/10.2166/wcc.2025.047
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1948. Economic Shock in a Climate Scenario and Its Impact on Surface Temperatures Q. Ran et al. https://doi.org/10.1029/2021EF002061
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1950. Expansion of winter ENSO‐associated rainfall affected area in Southeast Asia under warmer climate M. Leong et al. https://doi.org/10.1002/joc.8358
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1953. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al. https://doi.org/10.1016/j.agrformet.2024.110269
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1955. Drivers of uncertainty in future projections of Madden–Julian Oscillation teleconnections A. Jenney et al. https://doi.org/10.5194/wcd-2-653-2021
1956. Evaluation and progression of marine heatwaves over the northwestern Indian Ocean: A comparative study using satellite and numerical model data A. Chaitanya et al. https://doi.org/10.1016/j.rsma.2026.105033
1957. Climate warming and increasing Vibrio vulnificus infections in North America E. Archer et al. https://doi.org/10.1038/s41598-023-28247-2
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1967. Evaluation of Water Vapor Feedback Using a Two-Layer Atmospheric Box Model K. Morimoto et al. https://doi.org/10.3390/mmphys2020004
1968. Changes in Precipitation Characteristics over Russia in the 20th and 21st Centuries According to CMIP6 Model Ensemble Data M. Aleshina & V. Semenov https://doi.org/10.1134/S0001433823140037
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1970. Climate-extreme modeling framework for sustainable flood management in the Arabian Peninsula H. Karimi et al. https://doi.org/10.1016/j.jenvman.2025.127074
1971. Experiments and ocean models predict diminishing benefits of offshore overwinter migration in northern stock black sea bass Centropristis striata M. Zavell et al. https://doi.org/10.3354/meps15114
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1995. Recent changes in circulation patterns and their opposing impact on extreme precipitation at the west coast of Norway K. Ødemark et al. https://doi.org/10.1016/j.wace.2022.100530
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2011. Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. https://doi.org/10.5194/acp-23-13755-2023
2012. Reduced range size and Important Bird and Biodiversity Area coverage for the Harpy Eagle (Harpia harpyja) predicted from multiple climate change scenarios L. Sutton et al. https://doi.org/10.1111/ibi.13046
2013. Constraints on simulated past Arctic amplification and lapse rate feedback from observations O. Linke et al. https://doi.org/10.5194/acp-23-9963-2023
2014. The carbonate pump feedback on alkalinity and the carbon cycle in the 21st century and beyond A. Planchat et al. https://doi.org/10.5194/esd-15-565-2024
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2024. Grassland Greening and Water Resource Availability May Coexist in a Warming Climate in Northern China and the Tibetan Plateau C. Zhang et al. https://doi.org/10.1029/2023EF004037
2025. Temperature and radiative responses to anthropogenic aerosols over the Mediterranean Basin based on CMIP6 Earth system models A. Kalisoras et al. https://doi.org/10.5194/acp-26-9413-2026
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2027. Ecological forecasts of insect range dynamics: a broad range of taxa includes winners and losers under future climate N. Neupane et al. https://doi.org/10.1016/j.cois.2024.101159
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2031. High-resolution projections of future FWI conditions for Portugal according to CMIP6 future climate scenarios S. Cardoso Pereira et al. https://doi.org/10.1007/s00704-024-05142-y
2032. The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections J. Cos et al. https://doi.org/10.5194/esd-13-321-2022
2033. Assessment of model projections of climate‐change induced extreme storms on the south‐east coast of Australia W. Zhu et al. https://doi.org/10.1002/joc.8446
2034. Global assessment of terrestrial precipitation and evapotranspiration in CMIP6 simulations using observation-based estimates S. Sun et al. https://doi.org/10.3389/frwa.2025.1520258
2035. A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse B. Wijesiri et al. https://doi.org/10.3390/su122410463
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2037. North Atlantic Ocean Circulation and Related Exchange of Heat and Salt Between Water Masses S. Berglund et al. https://doi.org/10.1029/2022GL100989
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2039. On the Resolution Sensitivity of Equatorial Precipitation in a GFDL Global Atmospheric Model P. Lin et al. https://doi.org/10.1029/2022MS003300
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2052. Wind stilling shapes grassland water use efficiency by enhancing soil moisture retention H. Wu et al. https://doi.org/10.1126/sciadv.aee4995
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2054. The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau H. Hu et al. https://doi.org/10.3390/d13120682
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2058. Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1016/j.sciaf.2022.e01181
2059. Extreme event counterfactual analysis of electricity consumption in Brazil: Historical impacts and future outlook under climate change G. Zuin et al. https://doi.org/10.1016/j.energy.2023.128101
2060. Warming effects of reduced sulfur emissions from shipping M. Yoshioka et al. https://doi.org/10.5194/acp-24-13681-2024
2061. The underappreciated importance of small wetlands in global methane emissions F. Li et al. https://doi.org/10.1038/s41558-026-02609-w
2062. Uncertainties in highresmip models in simulating rainfall over West Africa based on the choice of reference data K. Yamoah et al. https://doi.org/10.1007/s00704-026-06021-4
2063. Assessment of 21st Century Changing Sea Surface Temperature, Rainfall, and Sea Surface Height Patterns in the Tropical Pacific Islands Using CMIP6 Greenhouse Warming Projections L. Dhage & M. Widlansky https://doi.org/10.1029/2021EF002524
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2065. Decomposing Temperature Extremes Errors in CMIP5 and CMIP6 Models A. Di Luca et al. https://doi.org/10.1029/2020GL088031
2066. Mechanisms of Reduced Mid‐Holocene Precipitation in Arid Central Asia as Simulated by PMIP3/4 Models T. Wang et al. https://doi.org/10.1029/2021JD036153
2067. Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem M. Mahdian et al. https://doi.org/10.1029/2023JD039538
2068. The Independent Volcanic Eruption Source Parameter Archive (IVESPA, version 1.0): A new observational database to support explosive eruptive column model validation and development T. Aubry et al. https://doi.org/10.1016/j.jvolgeores.2021.107295
2069. Projected 21st-century changes in marine heterotrophic bacteria under climate change H. Kim et al. https://doi.org/10.3389/fmicb.2023.1049579
2070. Northward migration of the East Asian summer monsoon northern boundary during the twenty-first century Z. Wang et al. https://doi.org/10.1038/s41598-022-13713-0
2071. Relations of Enhanced High‐Latitude Concurrent Blockings With Recent Warm Arctic‐Cold Continent Patterns L. Zhao et al. https://doi.org/10.1029/2021JD036117
2072. Air-conditioning adoption and electricity demand highlight climate change mitigation–adaptation tradeoffs F. Colelli et al. https://doi.org/10.1038/s41598-023-31469-z
2073. Preface for “Projection and impact assessment of global change” M. Kawamiya et al. https://doi.org/10.1186/s40645-021-00422-x
2074. Contrasting Recent and Future ITCZ Changes From Distinct Tropical Warming Patterns W. Zhou et al. https://doi.org/10.1029/2020GL089846
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2077. General Circulation Model Errors Are Variable across Exoclimate Parameter Spaces P. Kopparla et al. https://doi.org/10.3847/1538-4357/ac2d27
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2080. Adapting normative methods for highway drainage design to climatic nonstationarity in Uzbekistan: a risk assessment based on ERA5 reanalysis B. Salimova et al. https://doi.org/10.21595/vp.2026.26140
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2082. Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology T. Williamson & C. Barton https://doi.org/10.1016/j.scitotenv.2020.140605
2083. Drivers and impacts of Eastern African rainfall variability P. Palmer et al. https://doi.org/10.1038/s43017-023-00397-x
2084. Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools K. Gehlen et al. https://doi.org/10.5334/dsj-2022-007
2085. The Community Earth System Model Version 2 (CESM2) G. Danabasoglu et al. https://doi.org/10.1029/2019MS001916
2086. Projecting Changes in Rainfall Extremes for the Huai River Basin in the Context of 1.5 °C and 2 °C Global Warming Y. Wang et al. https://doi.org/10.3390/atmos13101708
2087. Constraint learning-based optimal operation of district cooling systems with distributed water thermal energy storage X. Wei & H. Zhang https://doi.org/10.1016/j.apenergy.2026.128556
2088. Impact of Energy-Efficiency Retrofits on Office Building Energy Use, Emissions, and Peak Demand under Future Climate Scenarios in U.S. Climate Zones F. Kheiri https://doi.org/10.15377/2409-9821.2026.13.4
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2091. Impacts of the Unforced Pattern Effect on the Cloud Feedback in CERES Observations and Climate Models L. Chao et al. https://doi.org/10.1029/2021GL096299
2092. No changes in overall AMOC strength in interglacial PMIP4 time slices Z. Jiang et al. https://doi.org/10.5194/cp-19-107-2023
2093. Rising rainfall variability amplifies hydroclimate extremes in eastern China L. Pei et al. https://doi.org/10.1088/1748-9326/ae5fb4
2094. Clustering future scenarios based on predicted range maps M. Davidow et al. https://doi.org/10.1111/2041-210X.14080
2095. CO2 Increase Experiments Using the CESM: Relationship to Climate Sensitivity and Comparison of CESM1 to CESM2 J. Bacmeister et al. https://doi.org/10.1029/2020MS002120
2096. RETRACTED ARTICLE: The economic commitment of climate change M. Kotz et al. https://doi.org/10.1038/s41586-024-07219-0
2097. Revealing the long-term trend of the global-scale Ginkgo biloba distribution and the impact of future climate change based on the ensemble modeling L. Wang et al. https://doi.org/10.1007/s10531-023-02593-z
2098. The impact of vegetation-dominated landscape configurations on the spatiotemporal dynamics and driving mechanisms of ecosystem services in the loess plateau M. Zhang et al. https://doi.org/10.1007/s10668-025-06790-4
2099. Forensic post-mortem interval estimation under a warming climate: a simulation of the degree-day model’s upper-limit blind spot M. Darılmaz https://doi.org/10.1007/s10584-026-04274-6
2100. CERESMIP: a climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance G. Schmidt et al. https://doi.org/10.3389/fclim.2023.1202161
2101. Contrasting Responses of Atlantic and Pacific Tropical Cyclone Activity to Atlantic Multidecadal Variability H. Huang et al. https://doi.org/10.1029/2023GL102959
2102. Climate and Cropland Jointly Shape Future Habitat Suitability of Major Stored-Product Callosobruchus Pests R. Al-Akeel et al. https://doi.org/10.3390/agriculture16161795
2103. Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline S. Michel et al. https://doi.org/10.1088/1748-9326/add7f0
2104. Exposure and sensitivity of threatened plant species to changing drought regimes: A global analysis S. Everingham et al. https://doi.org/10.1016/j.biocon.2025.111684
2105. Assessment of plausible changes in Climatic Impact-Drivers relevant for the viticulture sector: A storyline approach with a climate service perspective J. Mindlin et al. https://doi.org/10.1016/j.cliser.2024.100480
2106. Impacts on compound drought heatwave events in Australia per global warming level S. Chapman et al. https://doi.org/10.1088/1748-9326/adc8bd
2107. Annual Runoff and Climate Characteristics in large River Basins of Northern Eurasia under Global Warming A. Georgiadi et al. https://doi.org/10.24057/2071-9388-2026-2423
2108. Asymmetric response of Northern Hemisphere near-surface wind speed to CO2 removal Z. Li et al. https://doi.org/10.5194/wcd-6-1107-2025
2109. Open weather and climate science in the digital era M. de Vos et al. https://doi.org/10.5194/gc-3-191-2020
2110. Assessment of the southern polar and subpolar warming in the PMIP4 last interglacial simulations using paleoclimate data syntheses Q. Gao et al. https://doi.org/10.5194/cp-21-419-2025
2111. Projected Hydrological Regime Shifts in Kazakh Rivers Under CMIP6 Climate Scenarios: Integrated Modeling and Seasonal Flow Analysis A. Nurbatsina et al. https://doi.org/10.3390/atmos16091020
2112. Contrasting the Biophysical and Radiative Effects of Rising CO2 Concentrations on Ozone Dry Deposition Fluxes S. Silva et al. https://doi.org/10.1029/2022JD037668
2113. Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131241
2114. Regional climate simulation of tropical cyclone at gray-zone resolution over western North Pacific: with/without cumulus parameterization G. Bian et al. https://doi.org/10.1007/s00382-023-06740-8
2115. Human influence increases the likelihood of extremely early cherry tree flowering in Kyoto N. Christidis et al. https://doi.org/10.1088/1748-9326/ac6bb4
2116. Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. https://doi.org/10.1016/j.atmosres.2024.107324
2117. Emergence of changing Central-Pacific and Eastern-Pacific El Niño-Southern Oscillation in a warming climate T. Geng et al. https://doi.org/10.1038/s41467-022-33930-5
2118. Unraveling extreme high-temperature events in South Asia: insights from ensemble learning models and geophysical drivers S. Ghosh et al. https://doi.org/10.1007/s10584-025-03993-6
2119. A Pacific Tropical Decadal Variability Challenge for Climate Models Y. Zhao et al. https://doi.org/10.1029/2023GL104037
2120. Long-term trend of water vapor over the Tibetan Plateau in boreal summer under global warming J. Yu et al. https://doi.org/10.1007/s11430-021-9874-0
2121. Tropical basin interactions reduce spring predictability barrier of ENSO in a deep learning model L. Zhou & R. Zhang https://doi.org/10.1126/sciadv.aeb0901
2122. Seasonal and Regional Antarctic Sea Ice Biases: A Closer Look at CMIP6 S. Schroeter https://doi.org/10.1080/07055900.2025.2507880
2123. Volume and Heat Transport in the South China Sea and Maritime Continent at Present and the End of the 21st Century D. Samanta et al. https://doi.org/10.1029/2020JC016901
2124. Recent and projected changes in water scarcity and unprecedented drought events over Southern Pakistan I. Ullah et al. https://doi.org/10.3389/feart.2023.1113554
2125. Plant assemblages on extensive green roofs as a nature-based solution for energy efficiency in semi-arid urban climates F. Robbiati et al. https://doi.org/10.1007/s11252-025-01852-x
2126. Representation of the Mean Atlantic Subtropical Cells in CMIP6 Models Y. Fu et al. https://doi.org/10.1029/2021JC018191
2127. Flash energy droughts in solar and wind resources under climate change Y. Lin et al. https://doi.org/10.1038/s41558-026-02753-3
2128. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. https://doi.org/10.5194/acp-21-1211-2021
2129. Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels D. Amaripadath et al. https://doi.org/10.1016/j.enbuild.2023.112971
2130. Blocking Simulations in GFDL GCMs for CMIP5 and CMIP6 P. Liu et al. https://doi.org/10.1175/JCLI-D-21-0456.1
2131. Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts J. Youngblood et al. https://doi.org/10.1002/ecm.1550
2132. Improved Transformer Model With Meteorological Constraints Enhances Time Series Prediction of Evapotranspiration in Arid Regions Z. Pang et al. https://doi.org/10.1109/TGRS.2026.3652947
2133. New vigour involving statisticians to overcome ensemble fatigue R. Benestad et al. https://doi.org/10.1038/nclimate3393
2134. Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison H. Goelzer et al. https://doi.org/10.5194/tc-12-1433-2018
2135. The Turning Point of the Aerosol Era S. Bauer et al. https://doi.org/10.1029/2022MS003070
2136. A non-stationary climate-informed weather generator for assessing future flood risks V. Nguyen et al. https://doi.org/10.5194/ascmo-10-195-2024
2137. Combined Effects of Global Warming and Ozone Depletion/Recovery on Southern Hemisphere Atmospheric Circulation and Regional Precipitation J. Mindlin et al. https://doi.org/10.1029/2021GL092568
2138. The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments M. Kageyama et al. https://doi.org/10.5194/gmd-10-4035-2017
2139. Observed changes in wet days and dry spells over the IGAD region of eastern Africa P. Omay et al. https://doi.org/10.1038/s41598-023-44115-5
2140. Intraseasonal Air–Sea Interaction Over the Southeastern Indian Ocean and its Impact on Indian Summer Monsoon Z. Meng et al. https://doi.org/10.3389/fmars.2022.921585
2141. Representation of extreme El Niño events and associated atmospheric moisture flux divergence in the central-eastern tropical Pacific in a CMIP6 model ensemble J. Sanabria et al. https://doi.org/10.1016/j.wace.2025.100746
2142. 100 Years of Earth System Model Development D. Randall et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1
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2144. Indian Ocean dynamic sea level, its variability and projections in CMIP6 models C. Sajidh & A. Chatterjee https://doi.org/10.1007/s00382-023-06676-z
2145. Historical global land surface air apparent temperature and its future changes based on CMIP6 projections J. Huang et al. https://doi.org/10.1016/j.scitotenv.2021.151656
2146. Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling H. Vereecken et al. https://doi.org/10.2136/vzj2018.10.0191
2147. Novel insights into hotspots of insect vectors of GLRaV-3: Dynamics and global distribution J. Wei et al. https://doi.org/10.1016/j.scitotenv.2024.171664
2148. Tropospheric cooling induces annual wet biases over China in CMIP6 models L. Wang et al. https://doi.org/10.1007/s00382-024-07410-z
2149. A shift in transitional forests of the North American boreal will persist through 2100 P. Montesano et al. https://doi.org/10.1038/s43247-024-01454-z
2150. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. https://doi.org/10.1007/s10584-022-03435-7
2151. Divergent trends in global vegetation sensitivity to soil moisture and atmospheric dryness M. Kong et al. https://doi.org/10.1016/j.jhydrol.2026.135721
2152. Projecting precipitation-driven vegetation changes on the Tibetan Plateau using in-situ station data Z. Zhao et al. https://doi.org/10.1016/j.gloplacha.2025.105018
2153. Climate Change and Pilgrimage to Shrines in Ethiopia P. Brimblecombe et al. https://doi.org/10.3390/heritage7010004
2154. Effects of climate change and deep fertilization on the growth and yield of winter wheat in the Loess Plateau of China C. Yang et al. https://doi.org/10.1002/jsfa.13798
2155. Monte Carlo drift correction – quantifying the drift uncertainty of global climate models B. Grandey et al. https://doi.org/10.5194/gmd-16-6593-2023
2156. Global and Zonal‐Mean Hydrological Response to Early Eocene Warmth M. Cramwinckel et al. https://doi.org/10.1029/2022PA004542
2157. Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? S. Jain et al. https://doi.org/10.1029/2022AV000676
2158. Reconciling disagreement on global river flood changes in a warming climate S. Zhang et al. https://doi.org/10.1038/s41558-022-01539-7
2159. Constraining decadal climate predictions with seasonal forecasts: a step toward seamless multi-year climate information B. Solaraju-Murali et al. https://doi.org/10.1088/1748-9326/adfd73
2160. Historical Imprints and Future Shifts: Evolutionary Biogeography of Atlantic Reef Fishes Under Climate Change I. Cord et al. https://doi.org/10.1111/geb.70259
2161. Control of freshwater flows can counteract the effects of global climate change on salinity within urban estuaries P. Sahwell & H. Solo-Gabriele https://doi.org/10.1016/j.scitotenv.2025.180544
2162. Higher Sensitivity of Northern Hemisphere Monsoon to Anthropogenic Aerosol Than Greenhouse Gases J. Cao et al. https://doi.org/10.1029/2022GL100270
2163. Increased occurrences of early Indian Ocean Dipole under global warming S. Sun et al. https://doi.org/10.1126/sciadv.add6025
2164. Future Changes in Extreme High Temperature over China at 1.5°C–5°C Global Warming Based on CMIP6 Simulations G. Zhang et al. https://doi.org/10.1007/s00376-020-0182-8
2165. Temperature and Precipitation Extremes Under SSP Emission Scenarios with GISS-E2.1 Model L. Nazarenko et al. https://doi.org/10.3390/atmos16080920
2166. Sensitivity of tropical orographic precipitation to wind speed with implications for future projections Q. Nicolas & W. Boos https://doi.org/10.5194/wcd-6-231-2025
2167. The hazard components of representative key risks. The physical climate perspective C. Tebaldi et al. https://doi.org/10.1016/j.crm.2023.100516
2168. A generalizable framework for spatially explicit exploration of soil organic carbon sequestration on global marginal land A. Albers et al. https://doi.org/10.1038/s41598-022-14759-w
2169. Assessing agricultural drought risk under CMIP6 scenarios using hybrid AI models and satellite-derived TVDI M. Zare et al. https://doi.org/10.1038/s44304-026-00199-3
2170. Winter Orographic Precipitation and ENSO in Sapporo, Japan A. Yatagai & C. Kinoshita https://doi.org/10.3390/atmos13091413
2171. Fast upper-level jet stream winds get faster under climate change T. Shaw & O. Miyawaki https://doi.org/10.1038/s41558-023-01884-1
2172. Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia Y. Gan et al. https://doi.org/10.5194/acp-26-3881-2026
2173. Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. https://doi.org/10.1029/2023EF003531
2174. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
2175. Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake A. Virkkala et al. https://doi.org/10.1038/s41558-024-02234-5
2176. Evapotranspiration saturation amplifies climate sensitivity of terrestrial water yield E. Rotenberg et al. https://doi.org/10.1038/s41467-025-66570-6
2177. On deep learning-based bias correction and downscaling of multiple climate models simulations F. Wang & D. Tian https://doi.org/10.1007/s00382-022-06277-2
2178. Model uncertainty in synoptic circulation patterns and precipitation changes in Southern South America using CMIP5 and CMIP6 models M. Olmo et al. https://doi.org/10.1007/s10584-023-03647-5
2179. An overview of the E3SM version 2 large ensemble and comparison to other E3SM and CESM large ensembles J. Fasullo et al. https://doi.org/10.5194/esd-15-367-2024
2180. Analysis of forced response and internal climate variability in the INMCM Earth system model M. Buyanova et al. https://doi.org/10.1515/rnam-2025-0008
2181. Academic influence index evaluation report of geographic simulation models (2023) D. Liu et al. https://doi.org/10.1016/j.envsoft.2025.106737
2182. Emerging signals of climate change from the equator to the poles: new insights into a warming world M. Collins et al. https://doi.org/10.3389/fsci.2024.1340323
2183. The Whole Atmosphere Community Climate Model Version 6 (WACCM6) A. Gettelman et al. https://doi.org/10.1029/2019JD030943
2184. Steeper size spectra with decreasing phytoplankton biomass indicate strong trophic amplification and future fish declines A. Atkinson et al. https://doi.org/10.1038/s41467-023-44406-5
2185. CMIP6 Model Evaluation for Mean and Extreme Precipitation Over India P. Kushwaha et al. https://doi.org/10.1007/s00024-023-03409-5
2186. Stochastic Approach to the Evolution of the Global Water Cycle: Results of Historical Experiments on the CMIP-6 Models S. Dobrovolski et al. https://doi.org/10.1007/s00024-024-03567-0
2187. Projected Changes in Increased Drought Risks Over South Asia Under a Warmer Climate I. Ullah et al. https://doi.org/10.1029/2022EF002830
2188. Comparative Assessment and Future Prediction Using CMIP6 and CMIP5 for Annual Precipitation and Extreme Precipitation Simulation J. Li et al. https://doi.org/10.3389/feart.2021.687976
2189. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2022.158442
2190. Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios M. Niazkar et al. https://doi.org/10.1007/s00704-022-04274-3
2191. Climate-Driven Changes in Air Quality: Trends Across Emission and Socioeconomic Pathways A. Monteiro et al. https://doi.org/10.3390/su172310857
2192. Knowledge Gaps Update to the 2019 IPCC Special Report on the Ocean and Cryosphere: Prospects to Refine Coastal Flood Hazard Assessments and Adaptation Strategies With At-Risk Communities of Alaska D. Williams & L. Erikson https://doi.org/10.3389/fclim.2021.761439
2193. Intensification of drought propagation over the Yangtze River basin under climate warming F. Ma et al. https://doi.org/10.1002/joc.8165
2194. The fate of the Caspian Sea under projected climate change and water extraction during the 21st century S. Koriche et al. https://doi.org/10.1088/1748-9326/ac1af5
2195. Research challenges and opportunities for using big data in global change biology J. Xia et al. https://doi.org/10.1111/gcb.15317
2196. The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle A. Planchat et al. https://doi.org/10.5194/bg-20-1195-2023
2197. Emergent constraints on future extreme precipitation intensification: from global to continental scales S. Paik et al. https://doi.org/10.1016/j.wace.2023.100613
2198. Future variability in groundwater-surface water interactions: Implications for streamflow and its components using SWAT-MODFLOW 6 and CMIP 6 projections S. Lee et al. https://doi.org/10.1016/j.jhydrol.2025.134511
2199. Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks Z. Labe & E. Barnes https://doi.org/10.1029/2022GL098173
2200. Asymmetric Impacts of the Indian Ocean Dipole on Rainfall: Evidence from the Tropical Indian Ocean H. Werellapatha et al. https://doi.org/10.1007/s41748-026-01065-y
2201. GCM clouds and actual clouds as seen from different space lidars: towards a long-term assessment of cloud representation in GCMs using lidar simulators M. Roussel et al. https://doi.org/10.5194/acp-26-117-2026
2202. Development and testing scenarios for implementing land use and land cover changes during the Holocene in Earth system model experiments S. Harrison et al. https://doi.org/10.5194/gmd-13-805-2020
2203. Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea N. Huong et al. https://doi.org/10.2166/wcc.2023.021
2204. Impacts of climate change on water quality, benthic mussels, and suspended mussel culture in a shallow, eutrophic estuary M. Maar et al. https://doi.org/10.1016/j.heliyon.2024.e25218
2205. The GFDL‐CM4X Climate Model Hierarchy, Part II: Case Studies S. Griffies et al. https://doi.org/10.1029/2024MS004862
2206. Earth’s east–west albedo symmetry J. Zhang et al. https://doi.org/10.1038/s41586-026-10624-2
2207. Trend Projections of Potential Evapotranspiration in Yangtze River Delta and the Uncertainty L. Ding et al. https://doi.org/10.3390/atmos15030357
2208. Comparisons between UKESM CMIP6 Historical Simulations depending on two Atmospheric Chemistry Schemes: Part I. Global Scale Analysis D. Youn & H. Song https://doi.org/10.5467/JKESS.2025.46.1.19
2209. Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models S. Varghese et al. https://doi.org/10.1038/s41598-025-87949-x
2210. Identifying high-priority conservation areas in the Atlantic forest: a multicriteria approach using water striders S. Montemayor et al. https://doi.org/10.1007/s10531-025-03142-6
2211. Twenty-first century marine climate projections for the NW European shelf seas based on a perturbed parameter ensemble J. Tinker et al. https://doi.org/10.5194/os-20-835-2024
2212. Evaluation and projection of circulation conditions tied to summertime compound drought and heatwave frequency over the Yangtze River Delta, China, for the carbon neutrality period based on CMIP6 GCMs J. Wang et al. https://doi.org/10.1002/joc.8478
2213. Estimation of Watershed Hydrochemical Responses to Future Climate Changes Based on CMIP6 Scenarios in the Tianhe River (China) J. Sha et al. https://doi.org/10.3390/su131810102
2214. Future glacio-hydrological changes in the Andes: a focus on near-future projections up to 2050 A. Caro et al. https://doi.org/10.1038/s41598-025-88069-2
2215. Machine learning application in modelling marine and coastal phenomena: a critical review A. Pourzangbar et al. https://doi.org/10.3389/fenve.2023.1235557
2216. General circulation models for soil moisture simulation in global land areas: a complex network perspective A. Prabhakar & B. Sivakumar https://doi.org/10.1007/s00477-026-03201-6
2217. Observational Attribution-Constrained Projections of Area-Averaged Annual Mean Temperature Change over China H. Yin et al. https://doi.org/10.1007/s13351-026-5063-3
2218. Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1) Y. Liu et al. https://doi.org/10.5194/acp-21-8003-2021
2219. Philippine archipelago and South China Sea monsoon plus ocean cooling buffer Northwestern Pacific super typhoons T. Ma et al. https://doi.org/10.1038/s41467-025-62334-4
2220. Global exposure to flooding from the new CMIP6 climate model projections Y. Hirabayashi et al. https://doi.org/10.1038/s41598-021-83279-w
2221. Beetles, wind, and fire: Effects of climate change and close-to-nature forestry on disturbance predisposition and ecosystem service trade-offs S. Mutterer et al. https://doi.org/10.1016/j.foreco.2025.122690
2222. Climate-driven zooplankton shifts cause large-scale declines in food quality for fish R. Heneghan et al. https://doi.org/10.1038/s41558-023-01630-7
2223. A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. https://doi.org/10.1615/JMachLearnModelComput.2022046715
2224. Implications of CMIP6 GCM-Based Climate Variability for Photovoltaic Potential over Four Selected Urban Areas in Central and Southeast Europe During Summer (1971–2020) E. Kristóf & T. Kalmár https://doi.org/10.3390/urbansci10040204
2225. A Comparative Approach to Understand the Performance of CMIP6 Models for Maximum Temperature near Tropic of Cancer Using Multiple Machine Learning Ensembles G. Patel et al. https://doi.org/10.1007/s11269-025-04137-2
2226. The warming effect of black carbon must be reassessed in light of observational constraints G. Myhre et al. https://doi.org/10.1016/j.crsus.2025.100428
2227. Monsoon winds create an expressway for migratory shorebirds on the East Asia-Australasian Flyway H. Xiao et al. https://doi.org/10.1038/s43247-025-03049-8
2228. Future projections of heat extreme modulation by subseasonal oscillations over India as simulated by the CMIP6 models T. Zore et al. https://doi.org/10.1007/s11069-026-08264-w
2229. Historical trends and future changes in hydroclimate extremes using CMIP6 and SWAT + in the Awash Basin and Mojo catchment, Ethiopia D. Berhanu et al. https://doi.org/10.1007/s00704-026-06508-0
2230. Decreased cloud cover partially offsets the cooling effects of surface albedo change due to deforestation H. Luo et al. https://doi.org/10.1038/s41467-024-51783-y
2231. Timescales of the permafrost carbon cycle and legacy effects of temperature overshoot scenarios P. de Vrese & V. Brovkin https://doi.org/10.1038/s41467-021-23010-5
2232. Selection and downscaling of CMIP6 climate models in Northern Nigeria I. Wada et al. https://doi.org/10.1007/s00704-023-04534-w
2233. Robust changes to the wettest and driest days of the year are hidden within annual rainfall projections: a New Zealand case study L. Harrington et al. https://doi.org/10.1088/1748-9326/ad585a
2234. The influence of emissions scenarios on future Antarctic ice loss is unlikely to emerge this century D. Lowry et al. https://doi.org/10.1038/s43247-021-00289-2
2235. The Impact of Stratospheric Ozone Feedbacks on Climate Sensitivity Estimates P. Nowack et al. https://doi.org/10.1002/2017JD027943
2236. Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM Z. Xiong et al. https://doi.org/10.1080/17538947.2024.2372317
2237. Evaluating biogeophysical sensitivities to idealized deforestation in CMIP6 models using observational constraints N. Mileva et al. https://doi.org/10.5194/esd-16-2137-2025
2238. Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP) S. Fiedler et al. https://doi.org/10.1175/MWR-D-19-0404.1
2239. Low-elevation forest extent in the western United States constrained by soil surface temperatures Z. Holden et al. https://doi.org/10.1038/s41561-024-01577-0
2240. Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability J. Lee et al. https://doi.org/10.1007/s00382-018-4351-8
2241. Predicting the Distribution of Neoceratitis asiatica (Diptera: Tephritidae), a Primary Pest of Goji Berry in China, under Climate Change Z. Song et al. https://doi.org/10.3390/insects15080558
2242. Distribución potencial de Pinus cembroides Zucc. ante escenarios del Proyecto de Intercomparación de Modelos Acoplados en México J. Martínez-Sánchez et al. https://doi.org/10.29298/rmcf.v17i93.1594
2243. Human-caused ocean warming has intensified recent hurricanes D. Gilford et al. https://doi.org/10.1088/2752-5295/ad8d02
2244. Simulation of Gas Fracturing in Reservoirs Based on a Coupled Thermo-Hydro-Mechanical-Damage Model E. Qi et al. https://doi.org/10.3390/app14051763
2245. Tropospheric Ozone Assessment Report A. Archibald et al. https://doi.org/10.1525/elementa.2020.034
2246. Phenology metrics for ocean waters with application to future climate change in the Northwest Atlantic Ocean D. Brickman & N. Shackell https://doi.org/10.1525/elementa.2024.00001
2247. Anomalous Decline Patterns of Atlantic Meridional Overturning Circulation Driven by Arctic Oscillation M. Liu et al. https://doi.org/10.3390/jmse14131197
2248. Changes in Mean Annual Precipitation over the Brazilian and Nearby Regions from 1940 to 2099 Based on Weather Stations, Reanalyses, and the CMIP6 Model Ensemble I. Serykh et al. https://doi.org/10.3390/cli14090192
2249. Scenarios of Köppen-Trewartha climate types in Europe based on GCM-RCM combined projections E. Holtanová et al. https://doi.org/10.1007/s00704-025-05806-3
2250. High-resolution surface temperature changes for Portugal under CMIP6 future climate scenarios D. Carvalho https://doi.org/10.1038/s41598-024-67996-6
2251. Recent pronounced warming on the Mongolian Plateau boosted by internal climate variability Q. Cai et al. https://doi.org/10.1038/s41561-024-01377-6
2252. Distinct roles of climate change and variability in driving runoff generation capacity changes across China’s large reservoirs K. Wang et al. https://doi.org/10.1016/j.scib.2026.09.036
2253. Screening CMIP6 models for Chile based on past performance and code genealogy F. Gateño et al. https://doi.org/10.1007/s10584-024-03742-1
2254. Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble Y. Yang & T. Yue https://doi.org/10.3390/su16125007
2255. Near-term heatwave risk in HighResMIP models across different temperature zones of West Africa D. Danso et al. https://doi.org/10.1088/2752-5295/add31f
2256. Fractional change of scattering and absorbing aerosols contributes to Northern Hemisphere Hadley circulation expansion T. Ying et al. https://doi.org/10.1126/sciadv.adq9716
2257. The influence of anthropogenic climate change on wet and dry summers in Europe N. Christidis & P. Stott https://doi.org/10.1016/j.scib.2021.01.020
2258. Drought characteristics in the Middle East simulated by raw and bias-corrected CMIP6 models B. Ghazi et al. https://doi.org/10.1016/j.scitotenv.2025.180468
2259. Projections of suitable habitat loss and its implications in conservation for endemic non-pseudanthial Euphorbioideae (Euphorbiaceae) species in Northeastern Brazil under climate change scenarios T. Oliveira et al. https://doi.org/10.1007/s10531-026-03400-1
2260. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. https://doi.org/10.1029/2018MS001603
2261. Representation of the boreal summer tropical Atlantic–western North Pacific teleconnection in AGCMs: comparison of CMIP5 and CMIP6 J. Zuo et al. https://doi.org/10.1007/s00382-020-05427-8
2262. Southern hemisphere eastern boundary upwelling systems emerging as future marine heatwave hotspots under greenhouse warming S. Wang et al. https://doi.org/10.1038/s41467-022-35666-8
2263. High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method F. Rettie et al. https://doi.org/10.1038/s41597-023-02337-2
2264. Assessing the Future wind Energy Potential in Portugal Using a CMIP6 Model Ensemble and WRF High-Resolution Simulations A. Claro et al. https://doi.org/10.3390/en16020661
2265. Future changes in the precipitation regime over the Arabian Peninsula with special emphasis on UAE: insights from NEX-GDDP CMIP6 model simulations K. Rao et al. https://doi.org/10.1038/s41598-023-49910-8
2266. Integrated RUSLE-machine learning modeling for water erosion risk assessment under climate change in a Mediterranean semi-arid region: a comparison of LR, SVM, and RF models Y. Boussalim & Y. Dallahi https://doi.org/10.1007/s12517-026-12478-4
2267. Uncertainties in the Annual Cycle of Rainfall Characteristics over West Africa in CMIP5 Models M. Sow et al. https://doi.org/10.3390/atmos11020216
2268. Constraining the increased frequency of global precipitation extremes under warming C. Thackeray et al. https://doi.org/10.1038/s41558-022-01329-1
2269. Projecting the future of aquaculture in Egypt under climate and socio-economic scenarios M. Oyinlola et al. https://doi.org/10.1016/j.aquaculture.2026.743677
2270. Daily snowfall events on the Eurasian continent: CMIP6 models evaluation and projection W. Lin & H. Chen https://doi.org/10.1002/joc.7618
2271. Use of meteorological data in biosecurity A. MacLeod et al. https://doi.org/10.1042/ETLS20200078
2272. Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. https://doi.org/10.5194/gmd-17-6725-2024
2273. Data-driven seasonal climate predictions via variational inference and transformers L. Palma et al. https://doi.org/10.1038/s41612-026-01320-z
2274. Quantifying climate loss and damage consistent with a social cost of carbon M. Burke et al. https://doi.org/10.1038/s41586-026-10272-6
2275. WRF ensemble dynamical downscaling of precipitation over China using different cumulus convective schemes S. Gao et al. https://doi.org/10.1016/j.atmosres.2022.106116
2276. Global El Niño–Southern Oscillation Teleconnections in CMIP6 Models I. Serykh & D. Sonechkin https://doi.org/10.3390/atmos15040500
2277. 基于卫星遥感<bold>、</bold>大气再分析及气候模式数据的北半球春季积雪反照率反馈评估研究 辉. 郭 & 雨. 杨 https://doi.org/10.1360/N072021-0193
2278. The shift of decadal trend in Middle East dust activities attributed to North Tropical Atlantic variability G. Liu et al. https://doi.org/10.1016/j.scib.2023.05.031
2279. Assessment of characteristic changes of regional estimation of extreme rainfall under climate change: A case study in a tropical monsoon region with the climate projections from CMIP6 model S. Das et al. https://doi.org/10.1016/j.jhydrol.2022.128002
2280. Projected tropical cyclone genesis and seasonality changes in the Northern Hemisphere under a warming climate E. Widana Arachchige et al. https://doi.org/10.1038/s41612-025-01170-1
2281. Revisiting Interior Water Mass Responses to Surface Forcing Changes and the Subsequent Effects on Overturning in the Southern Ocean J. Tesdal et al. https://doi.org/10.1029/2022JC019105
2282. Potential Impact of Climate Change on Fish Reproductive Phenology: A Case Study in Gonochoric and Hermaphrodite Commercially Important Species from the Southern Gulf of Mexico T. Brulé et al. https://doi.org/10.3390/fishes7040156
2283. Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models F. Finazzi et al. https://doi.org/10.1002/env.2900
2284. Impact of ocean data assimilation on climate predictions with ICON-ESM H. Pohlmann et al. https://doi.org/10.1007/s00382-022-06558-w
2285. Decadal prediction of the probability of extreme seasons D. Befort & T. Kruschke https://doi.org/10.1088/1748-9326/adcc44
2286. Climate-driven shifts in suitable areas of Alternaria leaf blotch (Alternaria mali Roberts) on apples: Projections and uncertainty analysis in China B. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110464
2287. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. https://doi.org/10.1029/2021EF002511
2288. Deforestation Drives Desiccation in Global Monsoon Region Y. Liang et al. https://doi.org/10.1029/2022EF002863
2289. Improving the representation of anthropogenic CO2 emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) A. Navarro et al. https://doi.org/10.5194/esd-9-1045-2018
2290. Changes in universal thermal climate index from regional climate model projections over European beaches C. Nam et al. https://doi.org/10.1016/j.cliser.2024.100447
2291. East Antarctic cooling induced by decadal changes in Madden-Julian oscillation during austral summer P. Hsu et al. https://doi.org/10.1126/sciadv.abf9903
2292. A temporal stochastic bias correction using a machine learning attention model O. Nivron et al. https://doi.org/10.1017/eds.2024.42
2293. Enhanced interannual variability of the terrestrial carbon sink in China under high emissions H. Wu et al. https://doi.org/10.1088/1748-9326/ada814
2294. Surface air temperature variability over India in CMIP6 models during spring and early summer: after effect of El Niño S. Velivelli et al. https://doi.org/10.1007/s00382-025-07654-3
2295. Compiled records of carbon isotopes in atmospheric CO2 for historical simulations in CMIP6 H. Graven et al. https://doi.org/10.5194/gmd-10-4405-2017
2296. Conversion of the Knutson et al. (2020) Tropical Cyclone Climate Change Projections to Risk Model Baselines S. Jewson https://doi.org/10.1175/JAMC-D-21-0102.1
2297. Climate2Energy: a framework to consistently include climate change into energy system modeling J. Wohland et al. https://doi.org/10.1088/2753-3751/ae2870
2298. Microbial functional diversity and redundancy: moving forward P. Ramond et al. https://doi.org/10.1093/femsre/fuae031
2299. Future climate change will increase risk to mangrove health in Northern Australia C. Chung et al. https://doi.org/10.1038/s43247-023-00852-z
2300. LGM Paleoclimate Constraints Inform Cloud Parameterizations and Equilibrium Climate Sensitivity in CESM2 J. Zhu et al. https://doi.org/10.1029/2021MS002776
2301. Multivariate Spatio-Temporal Clustering of Wind–Wave Variability Across European Seas P. Maya et al. https://doi.org/10.3390/atmos17080776
2302. CMIP6 climate model spread outweighs glacier model spread in 21st-century drought buffering projections L. Ultee et al. https://doi.org/10.5194/tc-20-1339-2026
2303. Robust deep learning-based downscaling of mean and extreme precipitation over the Indian subcontinent M. Murukesh & P. Kumar https://doi.org/10.1088/2752-5295/ae6885
2304. Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies M. Bügelmayer-Blaschek et al. https://doi.org/10.1088/2515-7620/addc3f
2305. An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al. https://doi.org/10.1007/s00382-022-06369-z
2306. Structure of the Pacific Walker Circulation Depicted by the Reanalysis and CMIP6 E. Eresanya & Y. Guan https://doi.org/10.3390/atmos12091219
2307. Mechanisms shaping wind convergence under extreme synoptic situations over the Gulf Stream region V. Rousseau et al. https://doi.org/10.1175/JCLI-D-20-0719.1
2308. Contribution of large-scale atmospheric circulation and anthropogenic aerosols to recent summer warming over western Europe H. Douville et al. https://doi.org/10.1007/s00382-025-07689-6
2309. Assessing future precipitation patterns in the Brantas River Basin through downscaling of CMIP6 GCMs G. Herlambang & L. Jaelani https://doi.org/10.1088/1755-1315/1607/1/012036
2310. Changes in the distribution of annual maximum temperatures in Europe G. Auld et al. https://doi.org/10.5194/ascmo-9-45-2023
2311. Attributing and projecting record-shattering September tropical night events in East Asia G. Seo et al. https://doi.org/10.1016/j.wace.2026.100900
2312. Substantial increase in abrupt shifts between drought and flood events in China based on observations and model simulations Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.162822
2313. Response of stratospheric water vapour to warming constrained by satellite observations P. Nowack et al. https://doi.org/10.1038/s41561-023-01183-6
2314. Regional exposure to ageing nuclear infrastructure in Europe: Examining plume trajectories and dispersion for the 45-year old Almaraz Nuclear Power Plant under present and future climates A. Alves et al. https://doi.org/10.1016/j.jenvrad.2026.108166
2315. Challenges in identifying Antarctic coastal polynyas in satellite observations and climate model output to support ecological climate change research L. Landrum et al. https://doi.org/10.5194/tc-20-1815-2026
2316. Assessing Arctic wetting: Performances of CMIP6 models and projections of precipitation changes Z. Cai et al. https://doi.org/10.1016/j.atmosres.2023.107124
2317. Simulation of extreme precipitation changes in Central Asia using CMIP6 under different climate scenarios X. Huang et al. https://doi.org/10.1007/s00704-023-04802-9
2318. Temporal dynamics of climate change exposure and opportunities for global marine biodiversity A. Meyer et al. https://doi.org/10.1038/s41467-024-49736-6
2319. Climate change intensifies plant–pollinator mismatch and increases secondary extinction risk for plants in northern latitudes S. Peng et al. https://doi.org/10.1073/pnas.2506265122
2320. How is the relationship between rainfall and water vapor in the Indian monsoon influenced by changes in lapse rate during global warming? R. Mallesh & J. Srinivasan https://doi.org/10.1088/2515-7620/ad2c64
2321. FIO-ESM v2.0 Outputs for the CMIP6 Global Monsoons Model Intercomparison Project Experiments Y. Song et al. https://doi.org/10.1007/s00376-020-9288-2
2322. Analysis of Climate-Oriented Researches in Building K. Verichev et al. https://doi.org/10.3390/app11073251
2323. Machine-learning-based corrections of CMIP6 historical surface ozone in China during 1950–2014 Y. Tong et al. https://doi.org/10.1016/j.envpol.2024.124397
2324. A tangle of climate modes and the elusiveness of march precipitation variability over the southeastern US W. Li et al. https://doi.org/10.1088/2515-7620/adec46
2325. Analysis of 20th century surface air temperature using linear dynamical modes A. Gavrilov et al. https://doi.org/10.1063/5.0028246
2326. Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
2327. Future cropland and population exposures to extreme dry spells in global land monsoon regions S. Deng et al. https://doi.org/10.1016/j.ejrh.2025.102986
2328. High Resolution Future Projections of Drought Characteristics in Greece Based on SPI and SPEI Indices N. Politi et al. https://doi.org/10.3390/atmos13091468
2329. Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM M. Andres‐Martin et al. https://doi.org/10.1111/nyas.15063
2330. Summertime changes in climate extremes over the peripheral Arctic regions after a sudden sea ice retreat S. Delhaye et al. https://doi.org/10.5194/wcd-3-555-2022
2331. The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy A. Dastoor et al. https://doi.org/10.5194/gmd-18-2747-2025
2332. The effect of uncertainties in natural forcing records on simulated temperature during the last millennium L. Lücke et al. https://doi.org/10.5194/cp-19-959-2023
2333. Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China M. Shiru et al. https://doi.org/10.1007/s00704-021-03823-6
2334. Conservation Challenges and Opportunities for Fokienia hodginsii in the Wuyi Mountains Under Climate Change and Human Influence D. Luo et al. https://doi.org/10.1002/ece3.72887
2335. Spatio-temporal variability of surface chlorophyll and pCO2 over the tropical Indian Ocean and its long-term trend using CMIP6 models S. Mohanty et al. https://doi.org/10.1016/j.scitotenv.2023.168285
2336. Regional climate imprints of recent historical changes in anthropogenic Near Term Climate Forcers A. Santos-Espeso et al. https://doi.org/10.5194/esd-16-2161-2025
2337. Climate‐change modelling at reduced floating‐point precision with stochastic rounding T. Kimpson et al. https://doi.org/10.1002/qj.4435
2338. Inevitable global coral reef decline under climate change-induced thermal stresses K. Zeng et al. https://doi.org/10.1038/s43247-025-02790-4
2339. Rainfall Variability Impacts on Runoff and Reservoir Inflow in a Small Mountainous Watershed: SWAT-Based Assessment in the Upper Ing River Basin, Northern Thailand K. Thanawong et al. https://doi.org/10.3390/w18172070
2340. Assessment of CMIP6 Model Performance for Wind Speed in China L. Zhao et al. https://doi.org/10.3389/fclim.2021.735988
2341. Divergent data-driven estimates of global soil respiration S. Hashimoto et al. https://doi.org/10.1038/s43247-023-01136-2
2342. Interannual variations in meltwater input to the Southern Ocean from Antarctic ice shelves S. Adusumilli et al. https://doi.org/10.1038/s41561-020-0616-z
2343. Disentangling the impact of Atlantic Niño on sea-air CO2 flux S. Koseki et al. https://doi.org/10.1038/s41467-023-38718-9
2344. Tropical Pacific teleconnection to Southwestern US precipitation in the historical observations and climate change projections R. Luna-Niño et al. https://doi.org/10.1007/s00382-026-08332-8
2345. Effect of horizontal resolution on the simulation of tropical cyclones in the Chinese Academy of Sciences FGOALS-f3 climate system model J. Li et al. https://doi.org/10.5194/gmd-14-6113-2021
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2353. Revisiting the Existence of the Global Warming Slowdown during the Early Twenty-First Century M. Wei et al. https://doi.org/10.1175/JCLI-D-21-0373.1
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2408. Tree-ring blue-intensity reconstruction of the April–September maximum temperature in the Greater Caucasus region of Georgia since 1780 CE Z. Bakhtiyorov et al. https://doi.org/10.1007/s00484-025-02930-7
2409. Response of Terrestrial Net Primary Production to Quadrupled CO2 Forcing: A Comparison between the CAS-ESM2 and CMIP6 Models J. Zhu et al. https://doi.org/10.3390/biology11121693
2410. Warm conveyor belt activity over the Pacific: modulation by the Madden–Julian Oscillation and impact on tropical–extratropical teleconnections J. Quinting et al. https://doi.org/10.5194/wcd-5-65-2024
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2414. Do nurse plants enhance cactus survival under global warming? Experimental evidence from Coryphantha maiz-tablasensis, a threatened species F. Guerra-Coss et al. https://doi.org/10.1016/j.jaridenv.2025.105461
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2439. Plantation exhibits greater vulnerability to climate change than natural forests: Insights from deep learning T. Guo et al. https://doi.org/10.1016/j.foreco.2026.123930
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2442. Recommendations for the formulation of grazing in marine biogeochemical and ecosystem models T. Rohr et al. https://doi.org/10.1016/j.pocean.2022.102878
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2446. Identifying robust bias adjustment methods for European extreme precipitation in a multi-model pseudo-reality setting T. Schmith et al. https://doi.org/10.5194/hess-25-273-2021
2447. Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments Y. Liang et al. https://doi.org/10.1016/j.accre.2025.02.008
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2449. A sea ice free Arctic: CMIP7 Assessment Fast Track abrupt-127k experimental protocol and motivation L. Sime et al. https://doi.org/10.5194/gmd-19-5881-2026
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2453. Spatial assessment of forest soil carbon and climate-related value inside and outside protected areas in China Y. Zhang et al. https://doi.org/10.1007/s10661-026-15630-5
2454. Detecting changes in hot extremes under bias-corrected SSP245 scenario over the Beijing-Tianjin-Hebei region of China D. Zhao et al. https://doi.org/10.1007/s00382-025-08040-9
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2459. Sustainable land and irrigation management to limit loss of hydropower in the Andes-Amazon headwaters Z. Ding et al. https://doi.org/10.1038/s43247-024-01738-4
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2463. A protocol for the intercomparison of marine fishery and ecosystem models: Fish-MIP v1.0 D. Tittensor et al. https://doi.org/10.5194/gmd-11-1421-2018
2464. Will China's Yellow River basin suffer more serious combined dry and wet abrupt alternation in the future? S. Jiang et al. https://doi.org/10.1016/j.jhydrol.2023.129871
2465. Higher atmospheric aridity-dominated drought stress contributes to aggravating dryland productivity loss under global warming X. Yu et al. https://doi.org/10.1016/j.wace.2024.100692
2466. Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. https://doi.org/10.5194/esd-12-1037-2021
2467. The impact of model resolution on the North Atlantic multidecadal response to anthropogenic sulphate aerosols W. Lai et al. https://doi.org/10.5194/acp-26-11255-2026
2468. Can CMIP6 models simulate the ozone valley over the Tibetan plateau in boreal summer? L. Shen et al. https://doi.org/10.1007/s00382-025-07796-4
2469. Inter‐comparison of historical simulation and future projections of rainfall and temperature by CMIP5 and CMIP6 GCMs over Egypt M. Hamed et al. https://doi.org/10.1002/joc.7468
2470. Dryland dominance in the slowdown of global vegetation carbon uptake F. Li et al. https://doi.org/10.1038/s41561-026-01957-8
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2472. Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel Ensemble M. Roberts et al. https://doi.org/10.1175/JCLI-D-19-0639.1
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2480. Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks M. Li et al. https://doi.org/10.3390/rs16193723
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2483. Three Ways Forward to Improve Regional Information for Extreme Events: An Early Career Perspective G. Langendijk et al. https://doi.org/10.3389/fenvs.2019.00006
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2485. Stomatal conductance dominates land surface hydrological responses to rising CO2 concentrations in the Yellow River Basin J. Luan et al. https://doi.org/10.1016/j.jhydrol.2026.136469
2486. Developing Representative Impact Scenarios From Climate Projection Ensembles, With Application to UKCP18 and EURO‐CORDEX Precipitation S. Jewson et al. https://doi.org/10.1029/2022MS003038
2487. Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6 S. Sobie et al. https://doi.org/10.1080/07055900.2021.2011103
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2489. Processes Responsible for the Southern Hemisphere Ocean Heat Uptake and Redistribution under Anthropogenic Warming K. Lyu et al. https://doi.org/10.1175/JCLI-D-19-0478.1
2490. Unveiling the role of tropical Pacific on the emergence of ice-free Arctic projections S. Jahfer et al. https://doi.org/10.1088/1748-9326/ad3141
2491. Constraining CMIP6 simulations for Atlantic Water in the Arctic using an AMOC-SST index M. Devilliers et al. https://doi.org/10.3389/fclim.2025.1550772
2492. Hydrometeorological Conditions of the Volga Flow Generation into the Caspian Sea during the Last Glacial Maximum A. Kalugin & P. Morozova https://doi.org/10.3390/cli11020036
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2494. Small Impact of Stratospheric Dynamics and Chemistry on the Surface Temperature of the Last Glacial Maximum in CESM2(WACCM6ma) J. Zhu et al. https://doi.org/10.1029/2022GL099875
2495. Post-processing climate projections of precipitation for the Po river basin: will Italy's North become water-constrained? O. Boyko et al. https://doi.org/10.2166/nh.2022.063
2496. System dynamics simulation and scenario optimization of China's water footprint under different SSP-RCP scenarios Q. Jiang et al. https://doi.org/10.1016/j.jhydrol.2023.129671
2497. Understanding Monsoonal Water Cycle Changes in a Warmer Climate in E3SMv1 Using a Normalized Gross Moist Stability Framework B. Harrop et al. https://doi.org/10.1029/2019JD031443
2498. MIROC6 Large Ensemble (MIROC6-LE): experimental design and initial analyses H. Shiogama et al. https://doi.org/10.5194/esd-14-1107-2023
2499. Present and future aerosol impacts on Arctic climate change in the GISS-E2.1 Earth system model U. Im et al. https://doi.org/10.5194/acp-21-10413-2021
2500. The East Asian Winter Monsoon and its Relationship with El Niño–Southern Oscillation: Present and Future W. GUO et al. https://doi.org/10.3724/j.1006-8775.2025.020
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2524. An appraisal of seasonal precipitation dynamics over the North‐West Himalayan region under future warming scenarios D. Banerjee & C. Singh https://doi.org/10.1002/joc.7368
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2537. Emergent Constrained Projections of Mean and Extreme Warming in China Z. Chen et al. https://doi.org/10.1029/2022GL102124
2538. Decadal prediction of terrestrial water storage and sea-level change using physics-informed neural networks M. Kiani Shahvandi https://doi.org/10.1016/j.geog.2026.07.002
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2542. Sustainable and cost-effective vegetation restoration framework under climate change Q. Han et al. https://doi.org/10.1016/j.foreco.2021.119436
2543. Climate Change and Thermal Dynamics of the Lake Sevan Basin (Armenia): Observational Insights and Future Projections G. Khachatryan et al. https://doi.org/10.3390/w18030352
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2545. The Future Potential Distribution and Sustainable Management of Ancient Pu’er Tea Trees (Camellia sinensis var. assamica (J. W. Mast.) Kitam.) S. Zhang et al. https://doi.org/10.3390/f13070983
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2547. Energy budget-based backscatter in a shallow water model of a double gyre basin M. Klöwer et al. https://doi.org/10.1016/j.ocemod.2018.09.006
2548. The Northwestern Pacific Warming Record in August 2020 Occurred Under Anthropogenic Forcing M. Hayashi et al. https://doi.org/10.1029/2020GL090956
2549. The Indian Ocean Dipole in a warming world G. Wang et al. https://doi.org/10.1038/s43017-024-00573-7
2550. A semi-automated sensitivity-based approach for simplifying marine biogeochemical models for targeted applications: A case study with the Eco3M-MED model Y. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2026.111491
2551. Dynamic internal variability dominates uncertainty in modeling future extreme precipitation M. Sothearith et al. https://doi.org/10.1038/s41612-025-01318-z
2552. Reversed impacts of the Arctic oscillation on the precipitation over the South China Sea and its surrounding areas in October and November T. Dong et al. https://doi.org/10.1007/s00382-020-05461-6
2553. Local meridional circulation changes contribute to a projected slowdown of the Indian Ocean Walker circulation S. Sharma et al. https://doi.org/10.1038/s41612-022-00242-w
2554. A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: sea ice data compilation and model differences M. Kageyama et al. https://doi.org/10.5194/cp-17-37-2021
2555. Arctic warming-induced cold damage to East Asian terrestrial ecosystems J. Kim et al. https://doi.org/10.1038/s43247-022-00343-7
2556. Response of the Intertropical Convergence Zone to Climate Change: Location, Width, and Strength M. Byrne et al. https://doi.org/10.1007/s40641-018-0110-5
2557. Hydrological cycle changes under global warming and their effects on multiscale climate variability J. Ma et al. https://doi.org/10.1111/nyas.14335
2558. Most South American cloud forests are likely to disappear under high-end climate change P. Vieira Pompeu et al. https://doi.org/10.1016/j.jnc.2025.127192
2559. Divergent, plausible, and relevant climate futures for near- and long-term resource planning D. Lawrence et al. https://doi.org/10.1007/s10584-021-03169-y
2560. On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice C. Giesse et al. https://doi.org/10.1029/2020GL091784
2561. Strengthening local resilience to global climate change through an innovative integration of coastal vulnerability and SWOT analyses D. Handiani et al. https://doi.org/10.1016/j.geogeo.2026.100546
2562. Climate models with moderate climate sensitivity best simulate the magnitude of Earth's energy imbalance K. Bimpiri et al. https://doi.org/10.5194/esd-17-877-2026
2563. The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-10-1487-2017
2564. Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System S. Liu et al. https://doi.org/10.1029/2020JD033005
2565. Optimization of water and nitrogen measures for maize-soybean intercropping under climate change conditions based on the APSIM model in the Guanzhong plain, China Z. Zhao et al. https://doi.org/10.1016/j.agsy.2024.104236
2566. Multi-hazard environmental risk assessment for electricity substations: integrating climate projections with atmospheric corrosion modelling* C. Bérard https://doi.org/10.1088/2753-3751/ae87a5
2567. Different uncertainty in tropical oceanic and land precipitation sensitivities under global warming J. Zhang & P. Huang https://doi.org/10.1016/j.atmosres.2023.106850
2568. Future Changes in Precipitation Extremes over East Africa Based on CMIP6 Models B. Ayugi et al. https://doi.org/10.3390/w13172358
2569. Still weighting to break the model democracy M. Collins https://doi.org/10.1002/2017GL073370
2570. Investigation of the impact of climate change on hydrological responses using the CMIP6 model for Upper Omo Gibe Basin, Ethiopia E. Tafese Mekuria et al. https://doi.org/10.1088/2515-7620/ae3465
2571. Projection of Heating and Cooling Degree Days in Ankara Under Climate Change Using ERA5-Land and Bias-Corrected CMIP6 Models: A Multi-Threshold Approach S. Oruç et al. https://doi.org/10.3390/buildings16163183
2572. The Atlantic Meridional Mode and Associated Wind–SST Relationship in the CMIP6 Models F. Xia et al. https://doi.org/10.3390/atmos14020359
2573. Changes in annual river flow in the Volga–Kama and Angara–Yenisei reservoir basins under contemporary and scenario global warming A. Georgiadi et al. https://doi.org/10.24057/2071-9388-2026-4228
2574. The evolution of heat exposure in changing societies and a changing climate from 1960 to 2100 A. Schäfer et al. https://doi.org/10.3389/fclim.2025.1491695
2575. Climate variability over South America‐regional and large scale features simulated by the Brazilian Atmospheric Model (BAM‐v0) I. Cavalcanti et al. https://doi.org/10.1002/joc.6370
2576. Stochastic effects on plankton dynamics: Insights from a realistic 0-dimensional marine biogeochemical model G. Occhipinti et al. https://doi.org/10.1016/j.ecoinf.2024.102778
2577. Changes in human-perceived temperature extremes and associated population exposure across China X. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107896
2578. A warming-drying climate hits Yunnan, Southwest China, during the past half century Z. Dong et al. https://doi.org/10.1007/s00382-025-07806-5
2579. Analysis of haddock distribution in the Barents sea using species distribution modeling (SDM) S. Bakanev & A. Russkikh https://doi.org/10.36038/0234-2774-2025-26-3-51-64
2580. Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model R. Russotto et al. https://doi.org/10.1029/2021MS002601
2581. A Performance Evaluation of Potential Intensity over the Tropical Cyclone Passage to South Korea Simulated by CMIP5 and CMIP6 Models D. Park et al. https://doi.org/10.3390/atmos12091214
2582. Contrasting Fate of Western Third Pole's Water Resources Under 21st Century Climate Change F. Su et al. https://doi.org/10.1029/2022EF002776
2583. Heat wave time of emergence patterns: a matter of definition C. Padalino et al. https://doi.org/10.1088/2515-7620/ad45c2
2584. Assessment of blue water-green water interchange under extreme warm and dry events across different ecohydrological regions of western Canada P. Khalili et al. https://doi.org/10.1016/j.jhydrol.2023.130105
2585. Climatology, trends, and future projections of aerosol optical depth over the Middle East and North Africa region in CMIP6 models R. Kunchala et al. https://doi.org/10.3389/fclim.2024.1384202
2586. Impacts of forced and internal climate variability on changes in convective environments over the eastern United States M. Franke et al. https://doi.org/10.3389/fclim.2024.1385527
2587. Shifts in MJO behavior enhance predictability of subseasonal precipitation whiplashes T. Cheng et al. https://doi.org/10.1038/s41467-025-58955-4
2588. Towards data-driven energy communities: A review of open-source datasets, models and tools H. Kazmi et al. https://doi.org/10.1016/j.rser.2021.111290
2589. Sea Ice Edge Constraint Improves Antarctic Sea Ice Seasonal Prediction in Deep Learning Models H. Wang et al. https://doi.org/10.1007/s00376-025-5024-2
2590. Evaluating downscaled products with expected hydroclimatic co-variances S. Baek et al. https://doi.org/10.5194/gmd-17-8665-2024
2591. Changes in the Suitable Habitat of the Smoke Tree (Cotinus coggygria Scop.), a Species with an East Asian–Tethyan Disjunction Z. Zhang et al. https://doi.org/10.3390/plants14040547
2592. How extreme could the near term evolution of the Indian Summer Monsoon rainfall be? S. Jain & A. Scaife https://doi.org/10.1088/1748-9326/ac4655
2593. Strong contribution from sensible heat to global precipitation increase in climate models is not supported by observational based data G. Myhre et al. https://doi.org/10.3389/fclim.2024.1383337
2594. Relative sea level projections constrained by historical trends at tide gauge sites M. Perrette & M. Mengel https://doi.org/10.1126/sciadv.ado4506
2595. Drought forecasting across multiple temporal scales using CMIP6 projections and hybrid deep learning models for Central Anatolia, Türkiye H. Citakoglu et al. https://doi.org/10.1016/j.atmosres.2026.109271
2596. Ice Shelf Basal Melt Rates in the Amundsen Sea at the End of the 21st Century N. Jourdain et al. https://doi.org/10.1029/2022GL100629
2597. Attribution of extremes to greenhouse gas-induced changes in regional climate variability, distinct from changes in mean climate A. Barkhordarian https://doi.org/10.1088/1748-9326/ad715a
2598. Seamless Integration of the Coastal Ocean in Global Marine Carbon Cycle Modeling M. Mathis et al. https://doi.org/10.1029/2021MS002789
2599. Exploring the nonstationarity of coastal sea level probability distributions F. Falasca et al. https://doi.org/10.1017/eds.2023.10
2600. A multi-method framework for global real-time climate attribution D. Gilford et al. https://doi.org/10.5194/ascmo-8-135-2022
2601. Egypt's water future: AI predicts evapotranspiration shifts across climate zones A. Mokhtar et al. https://doi.org/10.1016/j.ejrh.2024.101968
2602. Recent decrease of the impact of tropical temperature on the carbon cycle linked to increased precipitation W. Zhang et al. https://doi.org/10.1038/s41467-023-36727-2
2603. CMIP6 multi-model ensemble projections of Boro rice irrigation requirements and scheduling under climate change in North-Western Bangladesh M. Islam et al. https://doi.org/10.1016/j.rineng.2026.111968
2604. Dynamics of intensification of extreme precipitation events over the Arabian Peninsula derived from CMIP6 simulations R. Pathak et al. https://doi.org/10.1038/s41612-025-01016-w
2605. Anthropogenic influence on extreme temperatures in China based on CMIP6 models T. Hu & Y. Sun https://doi.org/10.1002/joc.7402
2606. Agro-climatic zone based hydrometeorological drought analysis and projection in Wabi Shebele river basin, Ethiopia G. Ayala Tarafa et al. https://doi.org/10.1007/s43621-026-03263-0
2607. Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models S. Tai et al. https://doi.org/10.1029/2021MS002586
2608. AMOC weakening modulates global warming impacts on precipitation over Brazil I. Vilela et al. https://doi.org/10.1038/s41612-025-01248-w
2609. Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections B. Ferrero et al. https://doi.org/10.1007/s00376-020-0178-4
2610. Competing and accelerating effects of anthropogenic nutrient inputs on climate-driven changes in ocean carbon and oxygen cycles A. Yamamoto et al. https://doi.org/10.1126/sciadv.abl9207
2611. Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks J. Rader et al. https://doi.org/10.1029/2021MS002941
2612. LRFD methodology for river embankments against non-stationary flooding under climate change A. Alhamid et al. https://doi.org/10.1016/j.strusafe.2024.102477
2613. Community Integrated Earth System Model (CIESM): Description and Evaluation Y. Lin et al. https://doi.org/10.1029/2019MS002036
2614. Improving marine heatwave simulations through realistic Kuroshio representation in a high-resolution dynamical downscaling ensemble S. Oh et al. https://doi.org/10.1016/j.wace.2025.100823
2615. Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. https://doi.org/10.5194/gmd-13-2149-2020
2616. Projections of changes in ecosystem productivity under 1.5 °C and 2 °C global warming C. Tian et al. https://doi.org/10.1016/j.gloplacha.2021.103588
2617. A framework for reconstructing marine heatwaves from individual foraminifera in sedimentary archives C. Saenger et al. https://doi.org/10.3389/fmars.2024.1321254
2618. Assessing Future Integrated Climate Pressure and Dominant-Driver Transitions in the Yellow River Diversion Receiving Area of Henan Province Under CMIP6 Scenarios X. Zhang et al. https://doi.org/10.3390/su18157678
2619. Framing the Use of Climate Model Projections in Infrastructure Engineering: Practices, Uncertainties, and Recommendations Y. Lai et al. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000685
2620. The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates J. Visser et al. https://doi.org/10.1029/2022WR032247
2621. Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts M. Zachariah et al. https://doi.org/10.1088/2752-5295/acf4b6
2622. Revealing historical observations and future projections of precipitation over Northwest China based on dynamic downscaled CMIP6 simulations X. Yang et al. https://doi.org/10.3389/feart.2022.1090221
2623. Impact of wind speed and soil frost on electricity distribution system reliability J. Haakana et al. https://doi.org/10.1016/j.heliyon.2024.e40846
2624. Assessment of suitable cultivation region for Panax notoginseng under different climatic conditions using MaxEnt model and high-performance liquid chromatography in China P. Zhan et al. https://doi.org/10.1016/j.indcrop.2021.114416
2625. A review of climate-related disasters impact on global shipping carbon emissions G. Huang et al. https://doi.org/10.1016/j.trd.2024.104553
2626. Impact of drought on global food security by 2050 V. Kraklow et al. https://doi.org/10.1038/s41467-025-67862-7
2627. Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution J. Duan et al. https://doi.org/10.1038/s41467-025-56005-7
2628. Climate Change and Dispersal Ability Jointly Affects the Future Distribution of Crocodile Lizards X. Zhang et al. https://doi.org/10.3390/ani12202731
2629. Ensembles of climate simulations to anticipate worst case heatwaves during the Paris 2024 Olympics P. Yiou et al. https://doi.org/10.1038/s41612-023-00500-5
2630. Assessing combinations of regional MCB designed to target multiple climate response objectives A. Mason et al. https://doi.org/10.5194/acp-26-10861-2026
2631. Forecast skill of Indian summer monsoon rainfall decadal climate predictions S. Dwivedi et al. https://doi.org/10.1007/s00704-026-06528-w
2632. Tropical cyclone risk for global ecosystems in a changing climate C. Kropf et al. https://doi.org/10.1038/s41558-024-02194-w
2633. Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations M. Egli et al. https://doi.org/10.1038/s41467-025-67748-8
2634. Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean M. Athanase et al. https://doi.org/10.1038/s43247-024-01212-1
2635. Practical investigation of climate extremes and IDF curves under climate change with applications of SSP scenarios (case study: Silakhor Plain, Iran) A. Sharghi & M. Komasi https://doi.org/10.1007/s10661-025-14568-4
2636. Using a region-specific ice-nucleating particle parameterization improves the representation of Arctic clouds in a global climate model A. Gjelsvik et al. https://doi.org/10.5194/acp-25-1617-2025
2637. Projections of Drought Characteristics Based on the CNRM-CM6 Model over Africa I. Nooni et al. https://doi.org/10.3390/agriculture12040495
2638. Filtering CMIP6 models in the Euro-Mediterranean based on a circulation patterns approach M. Olmo et al. https://doi.org/10.1016/j.wace.2025.100765
2639. Advanced artificial intelligence and remote sensing for earth observation–based tree crop monitoring: A global review with african perspectives A. Moussaid et al. https://doi.org/10.1016/j.neucom.2026.134165
2640. Intraseasonal variability of Indian Summer Monsoon Rainfall in CMIP6 models simulation P. Kumar & P. Sarthi https://doi.org/10.1007/s00704-021-03661-6
2641. Record-breaking statistics detect islands of cooling in a sea of warming E. Sena et al. https://doi.org/10.5194/acp-22-16111-2022
2642. Climate Change and Extreme Events in Northeast Atlantic and Azores Islands Region F. Carvalho et al. https://doi.org/10.3390/cli11120238
2643. Inter-Model Spread in Representing the Impacts of ENSO on the South China Spring Rainfall in CMIP6 Models X. Yin et al. https://doi.org/10.3390/atmos15101199
2644. Fine-scale estimates of ammonia emissions from South Asian croplands under changing climate A. Ismaeel et al. https://doi.org/10.1016/j.atmosenv.2025.121705
2645. Combination of Decadal Predictions and Climate Projections in Time: Challenges and Potential Solutions D. Befort et al. https://doi.org/10.1029/2022GL098568
2646. Comparative analysis of extreme precipitation simulations over China by CMIP6 and CMIP5 models: similarities, differences, and uncertainty assessment X. Rao et al. https://doi.org/10.1088/2515-7620/ae009b
2647. Evaluating the Performance of Climate Models Based on Wasserstein Distance G. Vissio et al. https://doi.org/10.1029/2020GL089385
2648. Potential future methane emission hot spots in Greenland M. Geng et al. https://doi.org/10.1088/1748-9326/aaf34b
2649. Effects of storms on fisheries and aquaculture: An Icelandic case study on climate change adaptation N. Sühring et al. https://doi.org/10.1080/15230430.2023.2269689
2650. A storyline approach to select the CMIP6 model ensemble to be downscaled for the South America domain A. Cardoso et al. https://doi.org/10.1007/s00382-025-08017-8
2651. Simulation of Possible Future Climate Changes in the 21st Century in the INM-CM5 Climate Model E. Volodin & A. Gritsun https://doi.org/10.1134/S0001433820030123
2652. Ensemble modeling of Pinus cembroides Zucc. distribution under future CMIP6 climate scenarios in northern Mexico J. Martínez-Sánchez et al. https://doi.org/10.3832/ifor4880-018
2653. Disentangling the causes of the 1816 European year without a summer A. Schurer et al. https://doi.org/10.1088/1748-9326/ab3a10
2654. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.2
2655. Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden Y. Ma et al. https://doi.org/10.3390/ijerph17186786
2656. Optimal Strategies for Climate Change Mitigation M. Arrighini et al. https://doi.org/10.1016/j.ifacol.2024.07.095
2657. Assessment of the wind power density over South America simulated by CMIP6 models in the present and future climate G. de Souza Ferreira et al. https://doi.org/10.1007/s00382-023-06993-3
2658. Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada B. Masud et al. https://doi.org/10.3390/w13050737
2659. Projection and Uncertainty Analysis of Future Temperature Change over the Yarlung Tsangpo-Brahmaputra River Basin Based on CMIP6 Z. Xu et al. https://doi.org/10.3390/w15203595
2660. Unraveling the invisible leptospirosis in mainland Southeast Asia and its fate under climate change L. Douchet et al. https://doi.org/10.1016/j.scitotenv.2022.155018
2661. Distribution of Trachelospermum jasminoides Under the Influence of Different Environmental Factors H. Yu et al. https://doi.org/10.3390/agriculture15030285
2662. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. https://doi.org/10.5194/gmd-9-2973-2016
2663. Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic https://doi.org/10.1016/j.scitotenv.2021.148323
2664. A new end-to-end workflow for the Community Earth System Model (version 2.0) for the Coupled Model Intercomparison Project Phase 6 (CMIP6) S. Mickelson et al. https://doi.org/10.5194/gmd-13-5567-2020
2665. A doubled increasing trend of evapotranspiration on the Tibetan Plateau X. Chen et al. https://doi.org/10.1016/j.scib.2024.03.046
2666. Global Future Drought Layers Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways D. Araujo et al. https://doi.org/10.1038/s41597-025-04612-w
2667. Data Management for PalMod-II – A FAIR-Based Strategy for Data Handling in Large Climate Modeling Projects S. Gehlot et al. https://doi.org/10.5334/dsj-2023-034
2668. Prediction of potential suitable areas for four medicinal plants in arid areas in North Africa under climate change scenarios B. Liu et al. https://doi.org/10.1007/s00704-025-05791-7
2669. Approaching a thermal tipping point in the Eurasian boreal forest at its southern margin M. Rao et al. https://doi.org/10.1038/s43247-023-00910-6
2670. 权衡碳固存和耗水量的全球生态恢复框架 庆. 韩 et al. https://doi.org/10.1360/N072025-0308
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2672. Optimal areas and climate change effects on dragon fruit cultivation in Mesoamerica V. Sosa et al. https://doi.org/10.1017/S0021859620000775
2673. A systematic review of regional and global climate extremes in CMIP6 models under shared socio-economic pathways R. Deepa et al. https://doi.org/10.1007/s00704-024-04872-3
2674. Climate change will increase high-temperature risks, degradation, and costs of rooftop photovoltaics globally H. Wu et al. https://doi.org/10.1016/j.joule.2025.102218
2675. Interannual variability of the sea surface salinity and its related freshwater flux in the tropical Pacific: A comparison of CMIP5 and CMIP6 H. Zhi et al. https://doi.org/10.1016/j.aosl.2022.100190
2676. A CMIP6 multi-model ensemble-based analysis of potential climate change impacts on irrigation water demand and supply using SWAT and CROPWAT models: a case study of Akmese Dam, Turkey E. Yalcin https://doi.org/10.1007/s00704-023-04657-0
2677. Analysis of rainfall epochs in changing climate of Kangsabati river basin, India S. Chakraborty & T. Roshni https://doi.org/10.14712/23361980.2025.7
2678. Evaluation and future projections of wind energy resources over the Northern Hemisphere in CMIP5 and CMIP6 models H. Miao et al. https://doi.org/10.1016/j.renene.2023.05.007
2679. Observed variability and trends in global precipitation during 1979–2020 G. Gu & R. Adler https://doi.org/10.1007/s00382-022-06567-9
2680. A Preliminary Assessment of Projected CMIP6 Extreme Rainfall in the Subarnarekha River Basin S. Kumar & V. Singh https://doi.org/10.48084/etasr.13075
2681. Climate Change Effects on Flood Risk at Wastewater Treatment Plants: A Facility-Scale Assessment G. Flor Tey et al. https://doi.org/10.3390/su18063074
2682. The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013–2023) X. Wang et al. https://doi.org/10.1073/pnas.2534130123
2683. Growth rates, seasonal cycles, and meridional gradients of atmospheric CO2 and δ13C using an atmospheric transport model for the period 1948–2021 U. Chakraborty et al. https://doi.org/10.1007/s44394-026-00020-9
2684. Improving future agricultural sustainability by optimizing crop distributions in China Q. Guan et al. https://doi.org/10.1093/pnasnexus/pgae562
2685. Weak self-induced cooling of tropical cyclones amid fast sea surface warming S. Guan et al. https://doi.org/10.1038/s41561-025-01879-x
2686. Simulation and projection of photovoltaic energy potential over a tropical region using CMIP6 models O. Ojo & P. Adesemoye https://doi.org/10.1016/j.jastp.2024.106384
2687. A high-resolution discourse on seismic tomography A. Fichtner et al. https://doi.org/10.1098/rspa.2024.0955
2688. Deeper waters, more calcifiers: Spatial variation in benthic assemblages highlight conservation challenges in sub-Antarctic Marine Protected areas L. Bergagna et al. https://doi.org/10.1016/j.marenvres.2026.107889
2689. Evaluation of the impact of climate change on rainfall for potential landslide triggering in Japan H. Tsunetaka et al. https://doi.org/10.1002/esp.6050
2690. Transient Precipitation Increase During Winter in the Eastern North America W. Liang & M. Zhang https://doi.org/10.1029/2022GL098188
2691. Impact of Climate Change and Drought Attributes in Nigeria A. Ogunrinde et al. https://doi.org/10.3390/atmos13111874
2692. Decadal oceanic variability amplified recent heatwave in the Northern Hemisphere N. Lei et al. https://doi.org/10.1038/s41612-025-01179-6
2693. Dataset of future-shifted weather files for Canada using climate projections from CMIP6 S. Sobie & C. Curry https://doi.org/10.1016/j.dib.2025.111667
2694. Spatial-temporal transformer network for multi-year ENSO prediction D. Song et al. https://doi.org/10.3389/fmars.2023.1143499
2695. The major role of riverine outflows in shaping the current and future habitats of Harmful Algal Blooms: the case of the North Sea O. Duteil et al. https://doi.org/10.1088/2515-7620/ad97ab
2696. How Well Do AR5 Sea Surface-Height Model Projections Match Observational Rates of Sea-Level Rise at the Regional Scale? P. Watson https://doi.org/10.3390/jmse6010011
2697. Projected excess mortality from PM2.5 exposure in Europe under future climate and sociodemographic pathways P. Niki et al. https://doi.org/10.1088/2752-5309/ae868a
2698. How polar-midlatitude atmospheric teleconnections depend on regional sea ice fraction and global warming level C. Iles et al. https://doi.org/10.5194/esd-16-2253-2025
2699. Properties, Changes, and Controls of Deep‐Convecting Clouds in Radiative‐Convective Equilibrium C. Stauffer & A. Wing https://doi.org/10.1029/2021MS002917
2700. Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle J. Jian et al. https://doi.org/10.1038/s41467-022-29391-5
2701. Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models L. Shi et al. https://doi.org/10.1016/j.jhydrol.2020.125394
2702. Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs Y. Xu et al. https://doi.org/10.3390/ijerph191912092
2703. FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al. https://doi.org/10.5194/gmd-19-1429-2026
2704. A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways Y. Li et al. https://doi.org/10.3390/plants14142158
2705. Global Carbon Budget 2020 P. Friedlingstein et al. https://doi.org/10.5194/essd-12-3269-2020
2706. Climate change scenarios in fisheries and aquatic conservation research M. Burgess et al. https://doi.org/10.1093/icesjms/fsad045
2707. Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape A. Basukala & L. Rasche https://doi.org/10.3390/land11081355
2708. Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding I. Chang-Brahim et al. https://doi.org/10.3389/fpls.2024.1319938
2709. A Deep‐Learning Ensemble Method to Detect Atmospheric Rivers and Its Application to Projected Changes in Precipitation Regime Y. Tian et al. https://doi.org/10.1029/2022JD037041
2710. Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations M. Donat et al. https://doi.org/10.1088/2752-5295/ad5463
2711. Distribution patterns and climatic responses of Macrophthalmus banzai and Macrophthalmus japonicus in East Asia (Ocypodoidea: Macrophthalmidae) C. Liu et al. https://doi.org/10.1016/j.marenvres.2025.107253
2712. The Role of Anthropogenic Aerosol Forcing in the 1850–1985 Strengthening of the AMOC in CMIP6 Historical Simulations J. Robson et al. https://doi.org/10.1175/JCLI-D-22-0124.1
2713. A Strong Anthropogenic Black Carbon Forcing Constrained by Pollution Trends Over China Y. Liu et al. https://doi.org/10.1029/2022GL098965
2714. Climatic Niche Contraction and Refugial Persistence of an Invasive Tephritid Pest Across the Arabian Peninsula Under Contrasting Emission Scenarios H. Al Dhafer et al. https://doi.org/10.3390/biology15100814
2715. Volcanic Radiative Forcing From 1979 to 2015 A. Schmidt et al. https://doi.org/10.1029/2018JD028776
2716. Enhancing machine learning-based seasonal precipitation forecasting using CMIP6 simulations E. Pinheiro & T. Ouarda https://doi.org/10.1016/j.atmosres.2025.108463
2717. Enhanced generation of internal tides under global warming Z. Yang et al. https://doi.org/10.1038/s41467-024-52073-3
2718. The emerging human fingerprint on global extreme fire weather M. Turco et al. https://doi.org/10.1126/sciadv.adx9845
2719. Assessing the Impact of Initialization on Decadal Prediction Skill R. Sospedra‐Alfonso & G. Boer https://doi.org/10.1029/2019GL086361
2720. Multidisciplinary assessment of the impact of temperature rise and headwind on aircraft take-off performance S. Salles et al. https://doi.org/10.1007/s10584-025-04016-0
2721. AWARE characterization factors in Peru encompassing El Niño and climate change events: does increased water availability guarantee less water scarcity? J. Sanchez-Matos et al. https://doi.org/10.1007/s11367-024-02369-9
2722. Transitioning to sustainability: A spatiotemporal assessment of replacing plastic with degradable films in agroecosystems C. Zhao et al. https://doi.org/10.1016/j.eja.2026.128131
2723. Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada T. Adekanmbi et al. https://doi.org/10.3390/foods12061176
2724. The variations of marine heatwaves during the mid-Pliocene warm period based on CESM2 X. Kong et al. https://doi.org/10.1016/j.palaeo.2025.113118
2725. Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa A. Akinsanola et al. https://doi.org/10.1016/j.atmosres.2021.105509
2726. Dominant modes and drivers of interannual variability of surface air temperature in boreal summer over Europe Y. Chen et al. https://doi.org/10.1007/s00382-025-07743-3
2727. Forecast of the evolution of agro- and bioclimatic resources in northwestern Russia based on the results of climate modeling V. Abannikov et al. https://doi.org/10.1051/e3sconf/202670301008
2728. Ocean warming and accelerating Southern Ocean zonal flow J. Shi et al. https://doi.org/10.1038/s41558-021-01212-5
2729. Updated global and regional trends of stratospheric ozone profiles V. Sofieva et al. https://doi.org/10.5194/acp-26-7387-2026
2730. Using Ice Cores to Evaluate CMIP6 Aerosol Concentrations Over the Historical Era K. Moseid et al. https://doi.org/10.1029/2021JD036105
2731. Incorporating uncertainty from downscaled rainfall projections into climate resilience planning in U.S. cities T. Lopez-Cantu et al. https://doi.org/10.1088/2634-4505/ac8a6c
2732. Performance evaluation of CMIP6 global climate models for selecting models for climate projection over Nigeria M. Shiru & E. Chung https://doi.org/10.1007/s00704-021-03746-2
2733. Nowhere to hide: Ensemble of Small Models exposes climate vulnerability and conservation gaps for an extremely rare troglobitic beetle genus Z. Yin https://doi.org/10.3897/subtbiol.56.190752
2734. Spatial variation of future trends in Atlantic upwelling cells from two CMIP6 models R. Flügel et al. https://doi.org/10.1016/j.dsr2.2025.105483
2735. Rising Risk of Thermokarst Lake Drainage on the Mongolian Plateau Under Future Warming C. Leng et al. https://doi.org/10.3390/rs18183207
2736. Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al. https://doi.org/10.1088/1748-9326/ab492f
2737. Comprehensive Assessment of Drought Susceptibility Using Predictive Modeling, Climate Change Projections, and Land Use Dynamics for Sustainable Management J. Liu et al. https://doi.org/10.3390/land14020337
2738. Statistical Downscaling over Italy using EQM: CMIP6 Climate Projections for the 1985–2100 Period G. Fedele et al. https://doi.org/10.1038/s41597-025-05270-8
2739. Weakening of global terrestrial carbon sequestration capacity under increasing intensity of warm extremes X. Yuan et al. https://doi.org/10.1038/s41559-024-02576-5
2740. Strategies for climate-resilient global wind and solar power systems D. Zheng et al. https://doi.org/10.1038/s41586-025-09266-7
2741. Changes in Extreme Temperature Events and Their Contribution to Mean Temperature Changes during Historical and Future Periods over Mainland China Y. Shan et al. https://doi.org/10.3390/atmos13071127
2742. Improving sea-level projections on the Northwestern European shelf using dynamical downscaling T. Hermans et al. https://doi.org/10.1007/s00382-019-05104-5
2743. Constraining the First Year of Ice‐Free Arctic: Importance of Regional Perspective S. Paik et al. https://doi.org/10.1029/2022EF003313
2744. Rapid intensification of the emerging southwestern North American megadrought in 2020–2021 A. Williams et al. https://doi.org/10.1038/s41558-022-01290-z
2745. Divergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models U. Nworgu et al. https://doi.org/10.1088/2752-5295/ad3a0e
2746. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia Z. Iqbal et al. https://doi.org/10.1016/j.atmosres.2021.105525
2747. Enhanced future vegetation growth with elevated carbon dioxide concentrations could increase fire activity R. Allen et al. https://doi.org/10.1038/s43247-024-01228-7
2748. Projections of the Transient State‐Dependency of Climate Feedbacks R. Bastiaansen et al. https://doi.org/10.1029/2021GL094670
2749. Predicting Changes in Population Exposure to Precipitation Extremes over Beijing–Tianjin–Hebei Urban Agglomeration with Regional Climate Model RegCM4 on a Convection-Permitting Scale P. Qin et al. https://doi.org/10.3390/su151511923
2750. Multi-year El Niño events tied to the North Pacific Oscillation R. Ding et al. https://doi.org/10.1038/s41467-022-31516-9
2751. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al. https://doi.org/10.5194/tc-14-2409-2020
2752. Increasing 2020‐Like Boreal Summer Rainfall Extremes Over Northeast Indian Subcontinent Under Greenhouse Warming H. Tang et al. https://doi.org/10.1029/2021GL096377
2753. Projected changes in population exposure to drought across the Philippines under CMIP6 forcing scenarios S. Ignacio-Reardon et al. https://doi.org/10.1088/2515-7620/addfad
2754. Advancing Our Understanding of Eddy-driven Jet Stream Responses to Climate Change – A Roadmap A. Ossó et al. https://doi.org/10.1007/s40641-024-00199-3
2755. An assessment of the simulation of East-Asia precipitation in the high-resolution community earth system model G. Yang et al. https://doi.org/10.1007/s00382-022-06606-5
2756. Cumulative risk of future bleaching for the world’s coral reefs C. Mellin et al. https://doi.org/10.1126/sciadv.adn9660
2757. Spatiotemporal analysis of Red King Crab stock dynamics in the Barents sea using SDM methods S. Bakanev https://doi.org/10.36038/0234-2774-2025-26-4-113-126
2758. Separating Anthropogenically‐ and Naturally‐Caused Temperature Trends: A Systematic Approach Based On Climate Memory Analysis N. Yuan et al. https://doi.org/10.1029/2022GL102232
2759. Assessment of future droughts in Vietnam using high-resolution downscaled CMIP6 projections T. Nguyen-Xuan et al. https://doi.org/10.1007/s11069-025-07651-z
2760. EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 1: Development of deep learning model J. Quinting & C. Grams https://doi.org/10.5194/gmd-15-715-2022
2761. Integrating global and regional niches with nested hierarchical SDMs reveals niche features and invasion-phase shifts under climate change in oceanic-island grass invaders R. Cedrés-Perdomo et al. https://doi.org/10.1007/s10531-026-03379-9
2762. Global River Discharge and Floods in the Warmer Climate of the Last Interglacial P. Scussolini et al. https://doi.org/10.1029/2020GL089375
2763. Climate change increases risks of wildfire and biome shifts in United States national parks in California P. Gonzalez & J. Verkerke https://doi.org/10.1088/1748-9326/ae89cf
2764. Supporting food security with multi-annual climate information: Co-production of climate services for the Southern African Development Community C. Delgado-Torres et al. https://doi.org/10.1016/j.scitotenv.2025.179259
2765. Global rainfall erosivity: Observation, attribution, and projection Y. Tong et al. https://doi.org/10.1016/j.iswcr.2025.12.005
2766. Population and Economic Projections in the Yangtze River Basin Based on Shared Socioeconomic Pathways M. Zhu et al. https://doi.org/10.3390/su12104202
2767. Effect of Climate Change on Thermal Loads in Concrete Box Girders S. Saad et al. https://doi.org/10.1061/JBENF2.BEENG-6835
2768. Distinct Influences of Land Cover and Land Management on Seasonal Climate D. Singh et al. https://doi.org/10.1029/2018JD028874
2769. Benchmarking Simulated Precipitation Variability Amplitude across Time Scales M. Ahn et al. https://doi.org/10.1175/JCLI-D-21-0542.1
2770. The mechanism of boreal summer SSTA phase-locking in the far eastern Pacific H. Chen & F. Jin https://doi.org/10.1038/s41612-023-00472-6
2771. Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling: from blockings to teleconnections S. Springer et al. https://doi.org/10.1038/s41612-024-00659-5
2772. Contrasting Anthropogenic Drivers Behind Asymmetric Warming in the Arctic and Antarctica B. Swain et al. https://doi.org/10.34133/olar.0127
2773. Predictable and Unpredictable Modes of Northern Hemisphere Atmospheric Circulation in CMIP6: Evaluation and Projections K. Ying et al. https://doi.org/10.1007/s00376-025-4539-x
2774. Projected land use changes in the Qinghai-Tibet Plateau at the carbon peak and carbon neutrality targets R. Xu et al. https://doi.org/10.1007/s11430-022-1077-y
2775. Footprint of greenhouse forcing in daily temperature variability M. Kotz et al. https://doi.org/10.1073/pnas.2103294118
2776. Evaluation and projections of surface air temperature over the Tibetan Plateau from CMIP6 and CMIP5: warming trend and uncertainty M. Zhou et al. https://doi.org/10.1007/s00382-022-06518-4
2777. Future fire risk under climate change and deforestation scenarios in tropical Borneo T. Davies-Barnard et al. https://doi.org/10.1088/1748-9326/acb225
2778. A Comparison of the CMIP6midHoloceneandlig127kSimulations in CESM2 B. Otto‐Bliesner et al. https://doi.org/10.1029/2020PA003957
2779. Senecio inaequidens DC. will thrive in future climate: A case study in a Mediterranean biodiversity hotspot E. Bazzato et al. https://doi.org/10.1016/j.ecoinf.2024.102783
2780. Beyond local climate zones: Continuous morphology archetypes for heat mitigation across 66 cities S. Emekci & H. Emekci https://doi.org/10.1016/j.scs.2026.107814
2781. Robustness and drivers of the Northern Hemisphere extratropical atmospheric circulation response to a CO$$_2$$-induced warming in CNRM-CM6-1 T. Oudar et al. https://doi.org/10.1007/s00382-019-05113-4
2782. Performance assessment of Coupled Model Intercomparison Project Phase 5 models in tropical South America using TOPSIS‐based method M. da Silva et al. https://doi.org/10.1002/joc.7708
2783. Reduced ENSO Variability due to a Collapsed Atlantic Meridional Overturning Circulation B. Orihuela-Pinto et al. https://doi.org/10.1175/JCLI-D-21-0293.1
2784. Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science Q. Wen et al. https://doi.org/10.1016/j.ecolind.2024.113004
2785. Reduced annual temperature cycle amplitude over the high-elevation Tibetan Plateau induced by black carbon aerosols L. Zhu et al. https://doi.org/10.1007/s10584-026-04192-7
2786. Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al. https://doi.org/10.1016/j.agrformet.2023.109602
2787. TRAPPIST Habitable Atmosphere Intercomparison (THAI) Workshop Report T. Fauchez et al. https://doi.org/10.3847/PSJ/abf4df
2788. Climate of Syria Based on Cordex Simulations: Present and Future N. Naaouf & C. Torma https://doi.org/10.1007/s41748-023-00351-3
2789. Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model D. Bi et al. https://doi.org/10.1071/ES19040
2790. Uncertainty in Reconstructing Paleo‐Elevation of the Antarctic Ice Sheet From Temperature‐Sensitive Ice Core Records J. Badgeley et al. https://doi.org/10.1029/2022GL100334
2791. Impact of land-use changes on the increase in extreme precipitation events in the Lake Victoria Basin J. Birungi et al. https://doi.org/10.1016/j.uclim.2025.102615
2792. Separating internal and forced contributions to near term SST predictability in the CESM2-LE E. Gordon et al. https://doi.org/10.1088/1748-9326/acfdbc
2793. Potential Impacts of Climate Change on the Habitat Suitability of the Dominant Tree Species in Greece N. Fyllas et al. https://doi.org/10.3390/plants11121616
2794. Importance of El Niño reproducibility for reconstructing historical CO2 flux variations in the equatorial Pacific M. Watanabe et al. https://doi.org/10.5194/os-16-1431-2020
2795. UVBoost: An erythemal weighted ultraviolet radiation estimator based on a machine learning gradient boosting algorithm M. Corrêa https://doi.org/10.1016/j.jqsrt.2023.108490
2796. Projections of mortality risk attributable to short-term exposure to landscape fire smoke in China, 2021–2100: a health impact assessment study S. Lou et al. https://doi.org/10.1016/S2542-5196(23)00192-4
2797. Historical fidelity and future change of Amundsen Sea Low under 1.5 °C–4 °C global warming in CMIP6 M. Gao et al. https://doi.org/10.1016/j.atmosres.2021.105533
2798. Emergent constraints on the hydrological impacts of land use and land cover change Z. Chen et al. https://doi.org/10.1038/s41467-026-69883-2
2799. Climate feedback from plant physiological responses to increasing atmospheric CO2 in Earth system models Y. Li https://doi.org/10.1111/nph.20184
2800. Projected changes in hot, dry and wet extreme events’ clusters in CMIP6 multi-model ensemble M. Vogel et al. https://doi.org/10.1088/1748-9326/ab90a7
2801. Understanding the ENSO–East Asian winter monsoon relationship in CMIP6 models: performance evaluation and influencing factors W. Guo et al. https://doi.org/10.1007/s00382-024-07292-1
2802. A more quiescent deep ocean under global warming S. Wang et al. https://doi.org/10.1038/s41558-024-02075-2
2803. Carbon Cycle Response to Temperature Overshoot Beyond 2°C: An Analysis of CMIP6 Models I. Melnikova et al. https://doi.org/10.1029/2020EF001967
2804. Abrupt increase in Arctic-Subarctic wildfires caused by future permafrost thaw I. Kim et al. https://doi.org/10.1038/s41467-024-51471-x
2805. An artificial intelligence reconstruction of global gridded surface winds L. Zhou et al. https://doi.org/10.1016/j.scib.2022.09.022
2806. Zonally contrasting shifts of the tropical rain belt in response to climate change A. Mamalakis et al. https://doi.org/10.1038/s41558-020-00963-x
2807. The 2023 global warming spike was driven by the El Niño–Southern Oscillation S. Raghuraman et al. https://doi.org/10.5194/acp-24-11275-2024
2808. Meteorologically Driven Changes in Future Global Air Quality: Physical and Monetized Impacts E. McDuffie et al. https://doi.org/10.1021/acs.est.5c14713
2809. Short- and long-term variability of the Antarctic and Greenland ice sheets E. Hanna et al. https://doi.org/10.1038/s43017-023-00509-7
2810. Identifying crucial emission sources under low forcing scenarios by a comprehensive attribution analysis X. Su et al. https://doi.org/10.1016/j.oneear.2022.10.009
2811. Performance of CMIP6 HighResMIP Simulations on West African Drought F. Ajibola et al. https://doi.org/10.3389/feart.2022.925358
2812. A fresh look at the pre-industrial air–sea carbon flux using the alkalinity budget A. Planchat et al. https://doi.org/10.5194/bg-22-6017-2025
2813. Future emergence of new ecosystems caused by glacial retreat J. Bosson et al. https://doi.org/10.1038/s41586-023-06302-2
2814. Will the ‘evapotranspiration paradox’ phenomenon exist across China in the future? Z. Li et al. https://doi.org/10.1002/joc.8256
2815. Assessment and Constraint of Mesozooplankton in CMIP6 Earth System Models C. Petrik et al. https://doi.org/10.1029/2022GB007367
2816. Weakened ENSO-precipitation teleconnection over southern Africa during the Last Interglacial: A modeling perspective J. Ma et al. https://doi.org/10.1016/j.gloplacha.2025.105024
2817. Future strengthening of the Nordic Seas overturning circulation M. Årthun et al. https://doi.org/10.1038/s41467-023-37846-6
2818. Assessment of the impact of climate change on urban flooding: A case study of Beijing, China X. Ding et al. https://doi.org/10.2166/wcc.2022.224
2819. Emergent reorganization and increased persistence of meteorological drought across Africa A. Ogunrinde et al. https://doi.org/10.1038/s43247-026-03528-6
2820. Inter-comparison of global ice sea coupling model based on NEMO and MITgcm X. Liu et al. https://doi.org/10.1088/1742-6596/2486/1/012027
2821. Effects of Anthropogenic Aerosol and Greenhouse Gas Emissions on Northern Hemisphere Monsoon Precipitation: Mechanisms and Uncertainty P. Monerie et al. https://doi.org/10.1175/JCLI-D-21-0412.1
2822. Projection of Rainfed Rice Yield Using CMIP6 in the Lower Lancang–Mekong River Basin S. Xie et al. https://doi.org/10.3390/agronomy13061504
2823. Profit-Optimal Nitrogen Under Climate Change: DSSAT-Derived EONR Across Global Staple Systems J. Et-Tousy et al. https://doi.org/10.1051/epjconf/202638306001
2824. Benchmarking historical performance and future projections from a large-scale hydrologic model with a watershed hydrologic model R. Shrestha et al. https://doi.org/10.5194/hess-29-2881-2025
2825. Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V. Eyring et al. https://doi.org/10.5194/gmd-13-3383-2020
2826. Broader research efforts and assessments needed to uncover the complex climate effects of regional changes in aerosol emissions B. Samset et al. https://doi.org/10.1371/journal.pclm.0000508
2827. Risks of synchronized low yields are underestimated in climate and crop model projections K. Kornhuber et al. https://doi.org/10.1038/s41467-023-38906-7
2828. CMIP6 ESMs overestimate greening and the photosynthesis trends in Dryland East Asia Y. Xiao et al. https://doi.org/10.1016/j.scitotenv.2024.173432
2829. Evaluation of Precipitation Simulated by the Atmospheric Global Model MRI-AGCM3.2 S. KUSUNOKI et al. https://doi.org/10.2151/jmsj.2024-013
2830. CMIP6 model evaluation for sea surface height responses to ENSO D. Sardana et al. https://doi.org/10.1007/s00382-023-06997-z
2831. Modelling future flowering trends of Alnus, Corylus, and Betula in Central Europe using the PhenoFlex framework N. Štefániková et al. https://doi.org/10.1016/j.ufug.2025.129259
2832. An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
2833. Metalearning Approach Coupled with CMIP6 Multi-GCM for Future Monthly Streamflow Forecasting M. Adib & S. Harun https://doi.org/10.1061/(ASCE)HE.1943-5584.0002176
2834. Evaluating the enhanced benefits of multi-model ensemble mean from NEX-GDDP-CMIP6 versus native CMIP6 Models in accurately representing historical temperature patterns in South America H. Arregocés et al. https://doi.org/10.1016/j.envc.2025.101373
2835. Changes in March mean snow water equivalent since the mid-20th century and the contributing factors in reanalyses and CMIP6 climate models J. Räisänen https://doi.org/10.5194/tc-17-1913-2023
2836. Evolution and prediction of drought-flood abrupt alternation events in Huang-Huai-Hai River Basin, China J. Ren et al. https://doi.org/10.1016/j.scitotenv.2023.161707
2837. Future changes in annual runoff and hydroclimatic extremes in the upper Yangtze River Basin T. Wang et al. https://doi.org/10.1016/j.jhydrol.2022.128738
2838. Incorporating decadal climate variability information in the operation and design of water infrastructure J. Rolf Olsen et al. https://doi.org/10.2166/wp.2021.267
2839. Linking global land surface temperature projections to radiative effects of hydrometeors under a global warming scenario J. Li et al. https://doi.org/10.1088/1748-9326/ac153c
2840. Importance of the seasonal temperature and precipitation variation on glacial evolutions during the LGM at monsoonal Himalaya based on Cogarbu valley W. Yang et al. https://doi.org/10.1016/j.palaeo.2022.111132
2841. Simulation of LUCC Dynamics and Estimation of Carbon Stock under Different SSP-RCP Scenarios in Heilongjiang Province F. Gao et al. https://doi.org/10.3390/land12091665
2842. Constraining the entire Earth system projections for more reliable climate change adaptation planning C. Li et al. https://doi.org/10.1126/sciadv.adr5346
2843. Climate-driven global cropland changes and consequent feedbacks N. You et al. https://doi.org/10.1038/s41561-025-01724-1
2844. Understanding the evolving patterns of extreme rainfall C. Bonfils et al. https://doi.org/10.1038/s43247-026-03516-w
2845. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. https://doi.org/10.3389/feart.2021.710036
2846. Earth System Models Are Not Capturing Present‐Day Tropical Forest Carbon Dynamics A. Koch et al. https://doi.org/10.1029/2020EF001874
2847. C4MIP-based projections of moisture convergence and extreme precipitation risks in East Asia N. Jeon et al. https://doi.org/10.1016/j.atmosres.2025.108637
2848. A physics-based empirical model for the prediction of the spring precipitation in Pakistan K. Ji et al. https://doi.org/10.1007/s00382-025-07919-x
2849. Climate models for predicting precipitation and temperature trends in cities: A systematic review F. Shah & A. Sharifi https://doi.org/10.1016/j.scs.2025.106171
2850. Multi‐Timescale Drought Dynamics Under Historical and CMIP6 Future Climate Scenarios C. Naresh & A. Mathew https://doi.org/10.1002/hyp.70628
2851. Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios H. Luo et al. https://doi.org/10.5194/acp-23-8169-2023
2852. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the runoff H. Guo et al. https://doi.org/10.1007/s00704-022-04118-0
2853. Robust Inter‐Hemispheric Asymmetry in the Response to Symmetric Volcanic Forcing in Model Large Ensembles A. Pauling et al. https://doi.org/10.1029/2021GL092558
2854. IMPACTS OF GLOBAL WARMING ON REGIONAL ENERGY AND ECONOMY: UNEVEN CONSEQUENCES ARISING FROM GLOBAL WARMING-INDUCED HEATING AND COOLING DEMAND OF HOUSEHOLDS L. MA et al. https://doi.org/10.1142/S2010007824500052
2855. The Vulnerability, Impacts, Adaptation and Climate Services Advisory Board (VIACS AB v1.0) contribution to CMIP6 A. Ruane et al. https://doi.org/10.5194/gmd-9-3493-2016
2856. Explicitly Resolved Cloud Feedbacks in the Radiative‐Convective Equilibrium Model Intercomparison Project C. Stauffer & A. Wing https://doi.org/10.1029/2023MS003738
2857. Identifying energy model fingerprints in mitigation scenarios M. Dekker et al. https://doi.org/10.1038/s41560-023-01399-1
2858. Improving Surface Soil Moisture Simulation in FGOALS-g3 Over Southeastern China: The Role of Soil Texture K. Xia et al. https://doi.org/10.1007/s44393-026-00016-0
2859. Performance-based sub-selection of CMIP6 models for impact assessments in Europe T. Palmer et al. https://doi.org/10.5194/esd-14-457-2023
2860. Impact of Climate Change on the Thermal Behavior of Long-Span Suspension Bridges L. Zhang et al. https://doi.org/10.1061/JBENF2.BEENG-7581
2861. Anomalies of Net Primary Productivity under Compound Marine Heatwaves and Microplastics H. Liu et al. https://doi.org/10.1021/acs.est.6c02934
2862. Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise I. Sepúlveda et al. https://doi.org/10.1029/2022EF002965
2863. Ensemble random forest for tropical cyclone tracking P. Vaittinada Ayar et al. https://doi.org/10.5194/nhess-25-4655-2025
2864. Reconstruction of Historical Land Surface Albedo Changes in China From 850 to 2015 Using Land Use Harmonization Data and Albedo Look‐Up Maps Y. Song et al. https://doi.org/10.1029/2021EA001799
2865. Irreversibility of winter precipitation over the Northeastern Pacific and Western North America against CO2 forcing Z. Xu et al. https://doi.org/10.1038/s41612-024-00864-2
2866. The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6 H. Goelzer et al. https://doi.org/10.5194/tc-14-3071-2020
2867. On the usefulness of global warming levels for projecting climate change impacts on agricultural productivity V. Mithal et al. https://doi.org/10.1088/1748-9326/ae886b
2868. Modelling the historical and future evolution of six ice masses in the Tien Shan, Central Asia, using a 3D ice-flow model L. Van Tricht & P. Huybrechts https://doi.org/10.5194/tc-17-4463-2023
2869. Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models Y. Zhao et al. https://doi.org/10.1007/s00376-022-1401-2
2870. The Spatiotemporal Heterogeneity of Vegetation–Soil Moisture Coupling in China Y. Ma et al. https://doi.org/10.34133/ehs.0485
2871. How do CMIP6 models project changes in precipitation extremes over seasons and locations across the mid hills of Nepal? R. Chhetri et al. https://doi.org/10.1007/s00704-021-03698-7
2872. Enhancing global CMIP6 model temperature predictions using deep learning neural networks S. Velivelli et al. https://doi.org/10.1007/s11069-025-07491-x
2873. Impacts of Model Spatial Resolution on the Simulation of Convective Spectrum and the Associated Cloud Radiative Effect in the Tropics H. BUI & J. YU https://doi.org/10.2151/jmsj.2021-039
2874. Multi-model evaluation and future projections of radio refractivity over West Africa using CMIP6 E. Israel et al. https://doi.org/10.1016/j.jastp.2026.106811
2875. Decadal Shift of Teleconnections Intensifies Summertime High-Ozone Episodes in China H. Wang et al. https://doi.org/10.1007/s00376-026-6006-8
2876. First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt R. Sellevold & M. Vizcaino https://doi.org/10.1029/2021GL092449
2877. Wavelet-based predictor screening for statistical downscaling of precipitation and temperature using the artificial neural network method A. Hosseini Baghanam et al. https://doi.org/10.2166/nh.2022.094
2878. Urban and agricultural areas under threat of the termite pest genus Heterotermes: insights from species distribution modelling and phylogeny E. Duquesne & D. Fournier https://doi.org/10.1007/s10340-025-01866-6
2879. Potential geographic displacement of Chagas disease vectors under climate change L. Brasil et al. https://doi.org/10.1111/mve.12810
2880. Climate conditions in the near-term, mid-term and distant future for growing soybeans in Canada B. Qian et al. https://doi.org/10.1139/cjps-2022-0233
2881. A Decomposition of Feedback Contributions to the Arctic Surface Temperature Biases in the CMIP5 Climate Models D. Park et al. https://doi.org/10.1007/s13143-022-00268-3
2882. C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project: experimental protocol for CMIP6 C. Jones et al. https://doi.org/10.5194/gmd-9-2853-2016
2883. How can Future Climate Change Affect the Corn Production System in Nebraska, USA? I. Gonçalves et al. https://doi.org/10.1007/s42106-024-00310-6
2884. Sea ice–air interactions amplify multidecadal variability in the North Atlantic and Arctic region J. Deng & A. Dai https://doi.org/10.1038/s41467-022-29810-7
2885. Changes of mean and extreme precipitation and their relationship in Northern Hemisphere land monsoon domain under global warming Y. Jiang et al. https://doi.org/10.1002/joc.8159
2886. Evaluating heat stress and occupational risks in the Southern Himalayas under current and future climates X. Yang et al. https://doi.org/10.1038/s41612-024-00764-5
2887. Rising global hail damage potential in a warming world S. Zhang et al. https://doi.org/10.1038/s41586-026-10543-2
2888. Exploring the attitudes toward climate change and pro-climate-change behavior among people with sensory disabilities in the Middle East and North Africa M. Opoku et al. https://doi.org/10.1080/15487733.2026.2650724
2889. A study of ENSO magnitude and lifespan in CMIP6 models S. Ou et al. https://doi.org/10.1007/s13131-025-2508-y
2890. Application of climate change scenarios in the simulation of forest ecosystems: an overview H. Liu et al. https://doi.org/10.1139/er-2022-0111
2891. Possible extinction of Eversmannia subspinosa in Eastern Alborz by 2060 due to climate change: a MaxEnt study A. Zaheri et al. https://doi.org/10.1007/s00704-024-05047-w
2892. U.S. winter atmospheric rivers and precipitation associated with the north pacific oscillation J. Ryu et al. https://doi.org/10.1088/1748-9326/ae8a6b
2893. Future Changes in Carbon Chemistry Under the Implementation of Artificial Ocean Alkalinization Based on CMIP6 Simulations B. Qu et al. https://doi.org/10.3390/oceans6020029
2894. Re-emergence of Indian Ocean Equatorial undercurrent under early positive Indian Ocean Dipole K. Huang et al. https://doi.org/10.1038/s43247-025-02704-4
2895. Paleodust Insights into Dust Impacts on Climate S. Albani & N. Mahowald https://doi.org/10.1175/JCLI-D-18-0742.1
2896. Evaluating spatial patterns of Asian meteorological drought variations and associated SST anomalies in CMIP6 models Y. Zhang & R. Wu https://doi.org/10.1007/s00704-021-03639-4
2897. Hysteretic Behavior of Global to Regional Monsoon Area Under CO2 Ramp‐Up and Ramp‐Down S. Paik et al. https://doi.org/10.1029/2022EF003434
2898. Fewer, but More Intense, Future Tropical Storms Over the Ganges and Mekong Basins H. Ali et al. https://doi.org/10.1029/2023GL104973
2899. Large increases in methane emissions expected from North America’s largest wetland complex S. Bansal et al. https://doi.org/10.1126/sciadv.ade1112
2900. Evolution of offshore wind resources in Northern Europe under climate change A. Martinez et al. https://doi.org/10.1016/j.energy.2023.126655
2901. Mechanisms linking multi-year La Niña with preceding strong El Niño T. Iwakiri & M. Watanabe https://doi.org/10.1038/s41598-021-96056-6
2902. Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1 K. Balaguru et al. https://doi.org/10.1029/2019MS002024
2903. Historical and future runoff changes in the Yangtze River Basin from CMIP6 models constrained by a weighting strategy J. Zhao et al. https://doi.org/10.1088/1748-9326/ac3f61
2904. Deciphering the projected changes in CMIP-6 based precipitation simulations over the Krishna River Basin S. Anil & P. Anand Raj https://doi.org/10.2166/wcc.2022.399
2905. Unveiling shifts in Eurasian annual temperature cycles under anthropogenic warming Y. Yan https://doi.org/10.1038/s41598-025-30316-7
2906. Multiproxy analyses of multiple shallow firn cores from coastal Adélie Land T. Tcheng et al. https://doi.org/10.5194/tc-20-1599-2026
2907. Impact of internal variability on recent opposite trends in wintertime temperature over the Barents–Kara Seas and central Eurasia S. Wang & W. Chen https://doi.org/10.1007/s00382-021-06077-0
2908. From global climate models (GCMs) to exoplanet spectra with the Global Emission Spectra (GlobES) T. Fauchez et al. https://doi.org/10.1016/j.ascom.2025.100982
2909. Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies M. Callaghan et al. https://doi.org/10.1038/s41558-021-01168-6
2910. Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-21-7671-2021
2911. Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2017JD027006
2912. Rooting depth projections of global plant functional types and driving factors analysis based on a hybrid modeling framework Q. Han et al. https://doi.org/10.1016/j.ecolind.2025.113674
2913. Bias Correction in CMIP6 Models Simulations and Projections for Brazil’s Climate Assessment L. Brumatti et al. https://doi.org/10.1007/s41748-023-00368-8
2914. Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information H. Ruhl et al. https://doi.org/10.1002/lol2.10332
2915. Higher precipitation in East Asia and western United States expected with future Southern Ocean warming H. Kim et al. https://doi.org/10.1038/s41561-025-01669-5
2916. A dynamical downscaling of global climate change projections using an eddy-resolving OGCM: application to sea level changes around Japan T. Suzuki et al. https://doi.org/10.1007/s10872-026-00804-z
2917. Land use and land cover dynamics: Implications for thermal stress and energy demands O. Adeyeri et al. https://doi.org/10.1016/j.rser.2023.113274
2918. Anthropogenic intensification of Arctic anticyclonic circulation Z. Liu et al. https://doi.org/10.1126/sciadv.ads4508
2919. Underestimated MJO Variability in CMIP6 Models P. Le et al. https://doi.org/10.1029/2020GL092244
2920. The potential impact of model horizontal resolution on the simulation of atmospheric cloud radiative effect in CMIP6 models Q. Lin & J. Yu https://doi.org/10.1007/s44195-022-00021-3
2921. What drives historical and future changes in photovoltaic power production from the perspective of global warming? R. Constantin Scheele & S. Fiedler https://doi.org/10.1088/1748-9326/ad10d6
2922. Model simulations capture seasonal Arctic Haze and clean-air cycle better than satellite and reanalysis B. Swain et al. https://doi.org/10.1038/s41598-025-29188-8
2923. CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains K. Van Weverberg et al. https://doi.org/10.1002/2017JD027188
2924. Advancing Global Ecological Modeling Capabilities to Simulate Future Trajectories of Change in Marine Ecosystems M. Coll et al. https://doi.org/10.3389/fmars.2020.567877
2925. Optimizing Soil Moisture Station Networks for Future Climates V. Bessenbacher et al. https://doi.org/10.1029/2022GL101667
2926. Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios A. Soni et al. https://doi.org/10.3390/atmos14040725
2927. A new class of climate hazard metrics and its demonstration: revealing a ten-fold increase of extreme heat over Europe G. Kirchengast et al. https://doi.org/10.1016/j.wace.2026.100855
2928. Spatiotemporal Distribution Shifts of Zelkova schneideriana Under Climate Change: A Biomod2-Driven Modeling Framework M. Li et al. https://doi.org/10.3390/biology14091221
2929. Soil carbon-concentration and carbon-climate feedbacks in CMIP6 Earth system models R. Varney et al. https://doi.org/10.5194/bg-21-2759-2024
2930. Future patterns and drivers of socioeconomic exposure to hot extremes in coastal China: Insights for coastal sustainability X. Wang et al. https://doi.org/10.1016/j.horiz.2026.100197
2931. Subsurface Warm Biases in the Tropical Atlantic and Their Attributions to the Role of Wind Forcing and Ocean Vertical Mixing Q. Zhang et al. https://doi.org/10.1175/JCLI-D-21-0779.1
2932. Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia Y. Chai et al. https://doi.org/10.1038/s41467-022-31782-7
2933. Climate change characteristics of regional drought–flood abrupt alternation events in the low-latitude plateau of southwest China Y. Jin et al. https://doi.org/10.2166/wcc.2025.300
2934. Sea Turtles for Ocean Research and Monitoring: Overview and Initial Results of the STORM Project in the Southwest Indian Ocean O. Bousquet et al. https://doi.org/10.3389/fmars.2020.594080
2935. Coupled Climate Model Simulation of Tropical–Extratropical Cloud Bands over Southern Africa R. James et al. https://doi.org/10.1175/JCLI-D-19-0731.1
2936. KrigR—a tool for downloading and statistically downscaling climate reanalysis data E. Kusch & R. Davy https://doi.org/10.1088/1748-9326/ac48b3
2937. Improving the Knowledge of the Pest Scaptocoris castanea Perty (Hemiptera: Heteroptera: Cydnidae), Further Information for its Early Detection and Prevention Based on Ecological Niche Modeling E. MINGHETTI et al. https://doi.org/10.11646/jihs.1.4.5
2938. Increasing risk of mass human heat mortality if historical weather patterns recur C. Callahan et al. https://doi.org/10.1038/s41558-025-02480-1
2939. Projected impacts of climate change on major dams in the Upper Yangtze River Basin P. Qin et al. https://doi.org/10.1007/s10584-021-03303-w
2940. How well have CMIP3, CMIP5 and CMIP6 future climate projections portrayed the recently observed warming D. Carvalho et al. https://doi.org/10.1038/s41598-022-16264-6
2941. Potential distribution of Blumea balsamifera in China using MaxEnt and the ex situ conservation based on its effective components and fresh leaf yield L. Guan et al. https://doi.org/10.1007/s11356-022-18953-1
2942. Bayesian Regression for Dependent Tensor-Valued Data from Exponential Families J. North et al. https://doi.org/10.1007/s13253-026-00748-3
2943. Long-term variability of Sea Surface Temperature in the Tropical Indian Ocean in relation to climate change and variability S. Mohan et al. https://doi.org/10.1016/j.gloplacha.2021.103436
2944. Glacial buffering maintains recent runoff stability amid warming and wetting in Central Asia Y. Chen et al. https://doi.org/10.1016/j.palaeo.2026.113763
2945. A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies F. Yakubu et al. https://doi.org/10.1038/s41597-026-07709-y
2946. Assessment of Flood Events over India and Its Core Monsoon Zone in CMIP6 Framework A. Vishwakarma et al. https://doi.org/10.1007/s40010-026-01205-z
2947. Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3 J. Lee et al. https://doi.org/10.5194/gmd-17-3919-2024
2948. Projected future changes in extreme precipitation over China under stratospheric aerosol intervention in the UKESM1 climate model O. Wang et al. https://doi.org/10.5194/acp-24-12355-2024
2949. The influence of direct radiative forcing versus indirect sea surface temperature warming on southern hemisphere subtropical anticyclones under global warming A. Fahad & N. Burls https://doi.org/10.1007/s00382-021-06006-1
2950. Large underestimations of warming-induced soil carbon emissions from oversimplistic Q10 indicator G. Moinet et al. https://doi.org/10.1016/j.soilbio.2025.109839
2951. Quantifying Spread in Spatiotemporal Changes of Upper-Ocean Heat Content Estimates: An Internationally Coordinated Comparison A. Savita et al. https://doi.org/10.1175/JCLI-D-20-0603.1
2952. The Impact of Climate Change on Construction Activity Performance S. Oruc et al. https://doi.org/10.3390/buildings14020372
2953. Multi-criteria evaluation of CMIP6 precipitation and temperature simulations over Iran O. Zabihi & A. Ahmadi https://doi.org/10.1016/j.ejrh.2024.101707
2954. Exceptional stratospheric contribution to human fingerprints on atmospheric temperature B. Santer et al. https://doi.org/10.1073/pnas.2300758120
2955. Assessment of wind and wave energy in China seas under climate change based on CMIP6 climate model J. Xu et al. https://doi.org/10.1016/j.energy.2024.133207
2956. Quantifying the role of variability in future intensification of heat extremes C. Simolo & S. Corti https://doi.org/10.1038/s41467-022-35571-0
2957. New model for long-term forecasting of galactic cosmic rays D. Pelosi et al. https://doi.org/10.1103/npfk-lwy9
2958. Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. https://doi.org/10.5194/gmd-15-683-2022
2959. Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil E. Rodrigues et al. https://doi.org/10.1016/j.apenergy.2023.122360
2960. Attribution of extreme events to climate change in the Australian region – A review T. Lane et al. https://doi.org/10.1016/j.wace.2023.100622
2961. Modeling the potential distribution of Musa (AAB), cv. ‘Bellaco’ and Carica papaya under climate change scenarios in the provinces of Jaén and San Ignacio J. Cubas Sanchez et al. https://doi.org/10.1016/j.atech.2026.102271
2962. DEVELOPMENT OF COUPLED ATMOSPHERIC-SLAB OCEAN MODEL GLOBAL CLIMATE MODEL AND CLIMATE CHANGE IMPACTS ON TROPICAL CYCLONES T. OKADA et al. https://doi.org/10.2208/kaigan.77.2_I_961
2963. Requirements for a global data infrastructure in support of CMIP6 V. Balaji et al. https://doi.org/10.5194/gmd-11-3659-2018
2964. Current and Future Variations of the Monsoons of the Americas in a Warming Climate S. Pascale et al. https://doi.org/10.1007/s40641-019-00135-w
2965. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. https://doi.org/10.5194/tc-15-4281-2021
2966. Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: Experimental observations and DNDC model predictions L. Xu et al. https://doi.org/10.3389/fpls.2022.1019966
2967. Changing circulations challenge the sustainability of cold water mass and associated ecosystem under climate change P. Yang et al. https://doi.org/10.1038/s44183-024-00077-3
2968. Modulation of the Arctic–East Asian winter teleconnection by extreme CO₂ forcing X. Xu et al. https://doi.org/10.1038/s41612-026-01457-x
2969. How well do the CMIP6 HighResMIP models simulate precipitation over the Tibetan Plateau? Q. Chen et al. https://doi.org/10.1016/j.atmosres.2022.106393
2970. Implications of Warm Pool Bias in CMIP6 Models on the Northern Hemisphere Wintertime Subtropical Jet and Precipitation X. Liu & K. Grise https://doi.org/10.1029/2023GL104896
2971. Studying solar storm impact on global neutral wind pattern and EIA formation using WACCM-X model A. Mahmoudian & M. Baghbani https://doi.org/10.1016/j.asr.2025.05.013
2972. Observed winter Barents Kara Sea ice variations induce prominent sub-decadal variability and a multi-decadal trend in the Warm Arctic Cold Eurasia pattern R. Ghosh et al. https://doi.org/10.1088/1748-9326/ad1c1a
2973. Historical total ozone radiative forcing derived from CMIP6 simulations R. Skeie et al. https://doi.org/10.1038/s41612-020-00131-0
2974. Updates on Model Hierarchies for Understanding and Simulating the Climate System: A Focus on Data‐Informed Methods and Climate Change Impacts L. Mansfield et al. https://doi.org/10.1029/2023MS003715
2975. Evaluation of the Climate Change Effect on Minimum and Maximum Temperatures and the Reference Evapotranspiration in the Lake Urmia Basin Using CMIP6 Models A. Yahyavi Dizaj et al. https://doi.org/10.61882/jwmr.2024.1269
2976. Multi-scenario analysis of wheat irrigation requirements under climate change: assessment of CMIP6 models for crop water modeling in Bangladesh M. Islam et al. https://doi.org/10.2166/wcc.2026.405
2977. Assessing the consequences of recent climate change on World Heritage sites in South Greenland J. Hollesen et al. https://doi.org/10.1038/s41598-024-60397-9
2978. Overview of the CMIP6 Historical Experiment Datasets with the Climate System Model CAS FGOALS-f3-L Y. Guo et al. https://doi.org/10.1007/s00376-020-2004-4
2979. Multi-decadal changes in convection-circulation coupled structure of the Madden–Julian oscillation L. Wang et al. https://doi.org/10.1007/s00382-025-07892-5
2980. Role of the quasi-biennial oscillation in alleviating biases in the semi-annual oscillation A. Jaison et al. https://doi.org/10.5194/wcd-5-1489-2024
2981. Projecting the future incidence and burden of dengue in Southeast Asia F. Colón-González et al. https://doi.org/10.1038/s41467-023-41017-y
2982. Larger increase in future global terrestrial water availability than projected by CMIP6 models Y. Wu et al. https://doi.org/10.59717/j.xinn-geo.2024.100097
2983. Carbon-aware ramping-driven assessment of multi-duration energy storage requirements under extreme climate events L. Wei et al. https://doi.org/10.1016/j.ijepes.2026.111754
2984. Vertical structure and surface impact of atmospheric rivers reaching antarctic sea ice and land M. Kolbe et al. https://doi.org/10.1016/j.atmosres.2024.107841
2985. Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4) B. Otto-Bliesner et al. https://doi.org/10.5194/cp-17-63-2021
2986. Uncertain response of ocean biological carbon export in a changing world S. Henson et al. https://doi.org/10.1038/s41561-022-00927-0
2987. Projections of Autumn Precipitation Extremes in Southwest China Based on a Statistically Downscaled CMIP6 Dataset L. Wei et al. https://doi.org/10.1007/s13351-025-5012-6
2988. Future projections of atmospheric icing in Norway E. Iversen et al. https://doi.org/10.1016/j.coldregions.2023.103836
2989. Climate Change Threatens Barringtonia racemosa: Conservation Insights from a MaxEnt Model Y. Tan et al. https://doi.org/10.3390/d16070429
2990. Sharp decline of dust events induces regional wetting over arid and semi-arid Northwest China in the NCAR Community atmosphere model X. Xie et al. https://doi.org/10.1088/1748-9326/ad16a5
2991. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. https://doi.org/10.3390/geographies2010003
2992. Eastern Tropical Pacific atmospheric and oceanic projected changes based on CMIP6 models R. Torres Parra et al. https://doi.org/10.1016/j.pocean.2024.103362
2993. CMIP6 skill at predicting interannual to multi-decadal summer monsoon precipitation variability P. Monerie et al. https://doi.org/10.1088/1748-9326/acea96
2994. Changes in extreme high temperature warning indicators over China under different global warming levels Y. Zhang et al. https://doi.org/10.1007/s11430-023-1299-1
2995. Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations I. Makroum et al. https://doi.org/10.5194/gmd-19-447-2026
2996. Effect of quasi‐biennial oscillation on the intensity of the South China Sea summer monsoon Y. Hu et al. https://doi.org/10.1002/joc.8336
2997. Assessing Climate‐Change Impacts on Hydrological Processes and Blue–Green Water Dynamics Using Multi‐Model Ensembles Under Shared Socioeconomic Pathways in the Hanjiang River Basin, China H. Li et al. https://doi.org/10.1002/hyp.70096
2998. Intensifying heatwaves under 1.5 or 2.0 °C warming climate by increasing regional surface air temperature and global SST P. Qin & Z. Xie https://doi.org/10.1007/s00382-026-08223-y
2999. Understanding the sub-seasonal variation in the wintertime AO spatial pattern from the viewpoint of El Niño-Southern Oscillation S. Hu et al. https://doi.org/10.1007/s00382-022-06533-5
3000. Multi‐season climate projections forecast declines in migratory monarch butterflies E. Zylstra et al. https://doi.org/10.1111/gcb.16349
3001. Spatio-temporal compounding of connected extreme events: Projection and hotspot identification M. Velpuri et al. https://doi.org/10.1016/j.envres.2023.116615
3002. Geographic isolation and climatic heterogeneity drive population differentiation of Rosa chinensis var. spontanea complex S. Li et al. https://doi.org/10.1111/plb.13521
3003. Adaptation strategies for winter wheat production at farmer fields under a changing climate: Employing crop and multiple global climate models M. Shoukat et al. https://doi.org/10.1016/j.agsy.2024.104066
3004. Application of Topological Data Analysis to Multi-Resolution Matching of Aerosol Optical Depth Maps D. Ofori-Boateng et al. https://doi.org/10.3389/fenvs.2021.684716
3005. Long-term forest-sector mitigation and radiative forcing under contrasting management, climate, and substitution pathways I. Boukhris et al. https://doi.org/10.1016/j.jenvman.2026.129586
3006. Spatial datasets of CMIP6 climate change projections for Canada and the United States D. McKenney et al. https://doi.org/10.1016/j.dib.2024.111246
3007. Trends in Rainfall-Temperature Projections in Upper Bernam River Basin Using CMIP6 Scenarios in Malaysia M. Zakari et al. https://doi.org/10.32604/rig.2025.065835
3008. Emergent Constraint on the Projection of Compound Dry and Hot Events in Guangdong Province by CMIP6 Models L. Peng et al. https://doi.org/10.3390/atmos17030327
3009. Climate and Land Use Changes Impact the Future of European Amphibian Functional Diversity K. Proios et al. https://doi.org/10.3390/land13081206
3010. Fast climate impact emulation for global temperature scenarios with the rapid impact model emulator (RIME) E. Byers et al. https://doi.org/10.1088/2752-5295/adee3d
3011. Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects M. Stockhause et al. https://doi.org/10.1371/journal.pclm.0000533
3012. Century-long column ozone records show that chemical and dynamical influences counteract each other S. Brönnimann https://doi.org/10.1038/s43247-022-00472-z
3013. An attribution study of the impactful extreme heat across Asia in 2024 C. Marghidan et al. https://doi.org/10.1016/j.wace.2026.100919
3014. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. https://doi.org/10.3390/w13111573
3015. Assessment of sowing environment for wheat cultivars and evaluation of growing degree days for phenological stages in the Northwest Himalayan region of Himachal Pradesh G. Singh et al. https://doi.org/10.1007/s42452-024-06290-6
3016. Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels P. Ji et al. https://doi.org/10.5194/hess-24-5439-2020
3017. European summer precipitation B. Steensen et al. https://doi.org/10.5194/acp-26-2041-2026
3018. Evaluation of machine learning models for streamflow projections under different greenhouse gas emission scenarios A. Pala et al. https://doi.org/10.1016/j.jer.2025.06.006
3019. Asian zonal-dipole climate extremes in 2022 and 2025: role of upper-tropospheric zonal flow C. He et al. https://doi.org/10.1088/1748-9326/ae6c3c
3020. Intensification of Mesoscale Convective Systems in the East Asian Rainband Over the Past Two Decades P. Li et al. https://doi.org/10.1029/2023GL103595
3021. Projected expansion in two influenza-susceptible birds' distribution under climate and land-cover changes on the Qinghai-Tibetan Plateau X. Wei et al. https://doi.org/10.1016/j.gecco.2024.e03305
3022. Persistent Model Biases in the CMIP6 Representation of Stratospheric Polar Vortex Variability R. Hall et al. https://doi.org/10.1029/2021JD034759
3023. The Effect of Global Warming on Future Water Availability: CMIP5 Synthesis C. Ferguson et al. https://doi.org/10.1029/2018WR022792
3024. Drivers and Management of Nutrient Overload in Dams: Insights from Roodeplaat Dam, South Africa S. Mnyango et al. https://doi.org/10.3390/hydrology12030057
3025. Orographic resolution driving the improvements associated with horizontal resolution increase in the Northern Hemisphere winter mid-latitudes P. Davini et al. https://doi.org/10.5194/wcd-3-535-2022
3026. The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan M. Kageyama et al. https://doi.org/10.5194/gmd-11-1033-2018
3027. Historical and future projections of southwest monsoon rainfall extremes: a comprehensive study using CMIP6 simulations H. Varikoden et al. https://doi.org/10.1016/j.atmosres.2024.107870
3028. Land water availability altered by historical land use and land cover change T. Tang et al. https://doi.org/10.1038/s41612-025-01111-y
3029. Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang, China X. Zhang et al. https://doi.org/10.1016/j.aosl.2021.100128
3030. Emergent temperature sensitivity of soil organic carbon driven by mineral associations K. Georgiou et al. https://doi.org/10.1038/s41561-024-01384-7
3031. Modeling the species occurrence probability and response of climate change on Himalayan Somalata plant under different Shared Socioeconomic Pathways A. Anand & V. Garg https://doi.org/10.1007/s10661-024-12824-7
3032. Imbalances in climate outcomes in net-zero pathways with fossil fuel CO2 emissions and reforestation-based CO2 removals A. MacIsaac et al. https://doi.org/10.1038/s43247-026-03329-x
3033. Impacts of Madden–Julian oscillation on tropical cyclone activity over the South China Sea: Observations versus HiRAM simulations L. Dao & J. Yu https://doi.org/10.1002/joc.6673
3034. Towards provision of regularly updated climate data from the Coupled Model Intercomparison Project H. Hewitt et al. https://doi.org/10.1371/journal.pclm.0000708
3035. The interdecadal Pacific oscillation drives an extratropical tripole pattern in northern hemisphere summer rainfall anomalies Z. Tang et al. https://doi.org/10.1016/j.atmosres.2026.109027
3036. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al. https://doi.org/10.5194/gmd-16-4715-2023
3037. Atlantic multidecadal variability control on European sea surface temperatures is mainly externally forced L. Barghorn et al. https://doi.org/10.1088/1748-9326/adb6bf
3038. Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning Y. Ren et al. https://doi.org/10.1016/j.jenvman.2025.126123
3039. Spatiotemporal Evaluation and Future Projection of Diurnal Temperature Range over the Tibetan Plateau in CMIP6 Models S. Zhang et al. https://doi.org/10.1007/s00376-024-3346-0
3040. Contrasting influences of biogeophysical and biogeochemical impacts of historical land use on global economic inequality S. Liu et al. https://doi.org/10.1038/s41467-022-30145-6
3041. Enhanced risk of hot extremes revealed by observation-constrained model projections C. Simolo & S. Corti https://doi.org/10.1038/s43247-025-02133-3
3042. Decline in The Potential Distribution of Fern Species Under Climate Change Scenarios D. Silva et al. https://doi.org/10.24857/rgsa.v18n7-029
3043. Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments A. Ruane et al. https://doi.org/10.3354/cr01520
3044. Extreme temperatures detection and attribution related to external forcing in Madagascar L. Randriamarolaza et al. https://doi.org/10.1002/joc.8065
3045. Drought dynamics explain once in a century yellow fever virus outbreak in Brazil with implications for climate change J. Caldwell et al. https://doi.org/10.1126/sciadv.adz6832
3046. Climate change projections and hydrological modelling to predict the streamflow in Berach-Banas catchment, Rajasthan K. Pareta & Y. Dashora https://doi.org/10.1007/s43832-025-00208-y
3047. Bayesian weighting of climate models based on climate sensitivity E. Massoud et al. https://doi.org/10.1038/s43247-023-01009-8
3048. Air Temperature Changes in the Azov–Black Sea Region in 1940–2099 according to Observations, Reanalyses, and CMIP6 Models I. Serykh & S. Krasheninnikova https://doi.org/10.3103/S106837392601005X
3049. Incorporating Weather Attribution to Future Water Budget Projections N. Martin https://doi.org/10.3390/hydrology10120219
3050. A Spatial Evaluation of Arctic Sea Ice and Regional Limitations in CMIP6 Historical Simulations M. Watts et al. https://doi.org/10.1175/JCLI-D-20-0491.1
3051. Forecasting Habitat Shifts in Euro-Mediterranean Orchids Protected Under Directive 92/43/EEC G. Ferreiro-Lera et al. https://doi.org/10.3390/d18050287
3052. Potential geographic distribution of relict plant Pteroceltis tatarinowii in China under climate change scenarios J. Yang et al. https://doi.org/10.1371/journal.pone.0266133
3053. Precipitation variability in CMIP6 climate models across the North Atlantic–European region and their Links to Atmospheric Circulation E. Plavcová et al. https://doi.org/10.1007/s00382-024-07556-w
3054. Evaluation of CMIP6 model skill in capturing the combined and independent influences of the IOD and ENSO on Australian rainfall during JJASON T. Thambipillai et al. https://doi.org/10.1007/s00382-025-07929-9
3055. Water vapour isotope anomalies during an atmospheric river event at Dome C, East Antarctica N. Dutrievoz et al. https://doi.org/10.5194/tc-20-1025-2026
3056. Rising vegetation activity dominates growing water use efficiency in the Asian permafrost region from 1900 to 2100 F. Yuan et al. https://doi.org/10.1016/j.scitotenv.2020.139587
3057. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. https://doi.org/10.1029/2021JD035483
3058. Significantly wetter or drier future conditions for one to two thirds of the world’s population R. Trancoso et al. https://doi.org/10.1038/s41467-023-44513-3
3059. Modelling of hydrological and environmental flow dynamics over a central Himalayan river basin through satellite altimetry and recent climate projections N. Kumar et al. https://doi.org/10.1002/joc.7734
3060. Extreme weather and cascading photovoltaic power vulnerabilities under climate change P. Adigun et al. https://doi.org/10.1016/j.seta.2025.104776
3061. Improvement of evapotranspiration simulation in a physically based ecohydrological model for the groundwater–soil–plant–atmosphere continuum K. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128440
3062. Variation in the Impact of ENSO on the Western Pacific Pattern Influenced by ENSO Amplitude in CMIP6 Simulations H. Aru et al. https://doi.org/10.1029/2022JD037905
3063. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. https://doi.org/10.1029/2022MS003588
3064. More high-impact atmospheric river-induced extreme precipitation events under warming in a high-resolution model X. Guo et al. https://doi.org/10.1016/j.oneear.2024.11.009
3065. Predicting the contribution of climate change on North Atlantic underwater sound propagation L. Possenti et al. https://doi.org/10.7717/peerj.16208
3066. Beaufort sea ice loss contributes to enhanced health exposure to fire weather over Southeast Asia G. Liu et al. https://doi.org/10.1038/s41612-025-00954-9
3067. Constraining human contributions to observed warming since the pre-industrial period N. Gillett et al. https://doi.org/10.1038/s41558-020-00965-9
3068. Projection of climate change impacts on extreme temperature and precipitation in Central Poland B. Ghazi et al. https://doi.org/10.1038/s41598-023-46199-5
3069. Future tropospheric ozone budget and distribution over east Asia under a net-zero scenario X. Hou et al. https://doi.org/10.5194/acp-23-15395-2023
3070. On the Analysis of the Performance of WRF and NICAM in a Hyperarid Environment R. Fonseca et al. https://doi.org/10.1175/WAF-D-19-0210.1
3071. Evaluation and Projection of Extreme High Temperature Indices in Southwestern China Using NEX-GDDP-CMIP6 F. Zhang et al. https://doi.org/10.1007/s13351-024-3059-4
3072. North Atlantic subpolar gyre provides downstream ocean predictability H. Fan et al. https://doi.org/10.1038/s41612-023-00469-1
3073. Projected changes in population exposure to extreme precipitation events over Central Africa under the global warming levels of 1.5 °C and 2 °C: insights from CMIP6 simulations Z. Ngavom et al. https://doi.org/10.1007/s40808-024-02091-3
3074. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. https://doi.org/10.1029/2021MS002814
3075. Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study V. Shevchenko et al. https://doi.org/10.1109/ACCESS.2024.3358865
3076. Antarctic sub-shelf melt rates via PICO R. Reese et al. https://doi.org/10.5194/tc-12-1969-2018
3077. Daytime–nighttime asymmetry of UTCI changes in Northwest China during 1964–2023 C. Deng et al. https://doi.org/10.1016/j.accre.2026.07.001
3078. Global assessment of the distribution and conservation status of a key medicinal plant (Artemisia annua L.): The roles of climate and anthropogenic activities D. Wang et al. https://doi.org/10.1016/j.scitotenv.2022.153378
3079. Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution P. Yang et al. https://doi.org/10.1021/acs.est.1c07747
3080. Detection of climate change signals using precipitation and temperature time series by a hybrid deep learning framework M. Waqas et al. https://doi.org/10.1007/s10661-025-14712-0
3081. Sea ice feedbacks cause more greenhouse cooling than greenhouse warming at high northern latitudes on multi-century timescales J. Kay et al. https://doi.org/10.1088/2752-5295/ad8026
3082. Improved Decadal Predictions of North Atlantic Subpolar Gyre SST in CMIP6 L. Borchert et al. https://doi.org/10.1029/2020GL091307
3083. Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al. https://doi.org/10.1007/s11069-023-06017-7
3084. Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling C. Sharma et al. https://doi.org/10.1016/j.gsf.2026.102336
3085. Future changes in spatially compounding hot, wet or dry events and their implications for the world’s breadbasket regions B. Biess et al. https://doi.org/10.1088/1748-9326/ad4619
3086. India's Drought Challenge: Insights From CMIP6 Models on Historical and Future Climate Scenarios R. Bhatla et al. https://doi.org/10.1002/joc.70075
3087. Mitigating agricultural risk under future climate: assessing maize cycle and yield in Brazil T. dos Santos Dias et al. https://doi.org/10.1007/s00704-025-05732-4
3088. Impact of climate change on renewable energy systems in buildings of subtropical desert areas: A stochastic optimization approach F. Souayfane et al. https://doi.org/10.1016/j.enconman.2026.121308
3089. STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations A. Snyder et al. https://doi.org/10.21105/joss.05525
3090. Projecting climate-driven shifts in demersal fish thermal habitat in Iceland's waters J. Mason et al. https://doi.org/10.1093/icesjms/fsab230
3091. Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate C. He et al. https://doi.org/10.1038/s41467-026-69783-5
3092. An evaluation of CMIP5 and CMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain D. Khadka et al. https://doi.org/10.1002/joc.7296
3093. Development of intensity–duration–frequency relationships in Khon Kaen City, Thailand under changing climate using GCMs and a simple scaling method K. Tedprasith & W. Lohpaisankrit https://doi.org/10.2166/wcc.2024.533
3094. Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia A. Saha et al. https://doi.org/10.1038/s41597-025-06149-4
3095. Competitive exclusion theory predicts the ecological niches of three congeneric endemic crayfish species S. Burgett et al. https://doi.org/10.1007/s10750-025-05988-x
3096. Influence of Decadal Ocean Signals on Meteorological Conditions Associated With the Winter Haze Over Eastern China W. Zhang et al. https://doi.org/10.3389/fenvs.2021.727180
3097. Causes of Dimming and Brightening in China Inferred from Homogenized Daily Clear-Sky and All-Sky in situ Surface Solar Radiation Records (1958–2016) S. Yang et al. https://doi.org/10.1175/JCLI-D-18-0666.1
3098. Climate-Land-Energy-Water Nexus Models Across Scales: Progress, Gaps and Best Accessibility Practices A. Vinca et al. https://doi.org/10.3389/fenvs.2021.691523
3099. An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
3100. Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends J. Kang et al. https://doi.org/10.1038/s41612-024-00801-3
3101. Specification and Verification for Climate Modeling: Formalization Leading to Impactful Tooling A. Altuntas et al. https://doi.org/10.4204/EPTCS.432.8
3102. Random forest-based species distribution modeling reveals intensifying multi-species invasion risks of alien plants in Ethiopia under climate change K. Yasin et al. https://doi.org/10.1016/j.rsase.2026.101869
3103. Insights into the North Hemisphere daily snowpack at high resolution from the new Crocus–ERA5 product S. Ramos Buarque et al. https://doi.org/10.5194/essd-17-7227-2025
3104. Influence of the North Pacific Victoria Mode on the Spring Persistence Barrier of ENSO L. Shi et al. https://doi.org/10.1029/2021JD036206
3105. Evaluation of CMIP6 models in simulating seasonal extreme precipitation over Ethiopia D. Berhanu et al. https://doi.org/10.1016/j.wace.2025.100752
3106. Probabilistic downscaling of multi-hazard climate extremes for engineering applications using conditional diffusion models D. Lin et al. https://doi.org/10.1016/j.istruc.2026.111783
3107. The representation of dry-season low-level clouds over Western Equatorial Africa in reanalyses and historical CMIP6 simulations P. Camberlin et al. https://doi.org/10.1007/s00382-023-06714-w
3108. Elevation dependency of snowfall changes under climate change over the Tibetan Plateau: Evidence from CMIP6 GCMs Y. Gao et al. https://doi.org/10.1016/j.atmosres.2024.107832
3109. Pre-industrial and future shifts in seasonal precipitation climatology for large river basins across the continental U.S.A K. Sung & J. Stagge https://doi.org/10.1088/2515-7620/ade51f
3110. Under pressure: assessing the vulnerability of two wetland birds to climate change T. Wagener et al. https://doi.org/10.1016/j.jnc.2026.127254
3111. Downscaling CMIP6 climate projections to classify the future offshore wind energy resource in the Spanish territorial waters B. Thomas et al. https://doi.org/10.1016/j.jclepro.2023.139860
3112. Anthropogenic–biogenic interaction amplifies warming from emission reduction over the southeastern US Y. Liu et al. https://doi.org/10.1088/1748-9326/ac3285
3113. Weather and climate extremes in a changing Arctic X. Zhang et al. https://doi.org/10.1038/s43017-025-00724-4
3114. Climate downscaling for regional models with a neural network: A Hawaiian example G. Liu et al. https://doi.org/10.1016/j.pocean.2023.103047
3115. Machine learning-based streamflow projections in the upper indus basin under CMIP6 climate scenarios M. Saleem et al. https://doi.org/10.1016/j.pce.2025.104035
3116. Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. https://doi.org/10.5194/esd-15-1301-2024
3117. Projected Meteorological Drought in Mexico Under CMIP6 Scenarios: Insights into Future Trends and Severity J. Velázquez-Zapata & R. Dávila-Ortiz https://doi.org/10.3390/geosciences15050186
3118. An improved model‐based analogue forecasting for the prediction of the tropical Indo‐Pacific Sea surface temperature in a coupled climate model Y. Wang et al. https://doi.org/10.1002/joc.6584
3119. Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis P. Kushwaha et al. https://doi.org/10.2166/wcc.2024.523
3120. The Model Forest Ensemble Kalman Filter A. Popov & A. Sandu https://doi.org/10.1137/25M1792943
3121. Planetary health as a laboratory for enhanced evidence synthesis J. Minx et al. https://doi.org/10.1016/S2542-5196(19)30216-5
3122. Sub-National Population Projections for Mexico Under the Shared Socioeconomic Pathways (SSPs) in the Context of Climate Change R. Regules García et al. https://doi.org/10.1007/s11113-024-09888-1
3123. Influences of Antarctic Ozone Depletion on Southern Ocean Aerosols Y. Bhatti et al. https://doi.org/10.1029/2022JD037199
3124. Future changes in sea surface temperature in the East Asian Marginal Seas projected by CMIP6 models H. Jung et al. https://doi.org/10.20481/kscdp.2024.11.4.123
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3126. Distributional projections of an Amazonian fish in native and non-native watersheds of South America in response to climate change V. Ferreira et al. https://doi.org/10.1007/s10530-025-03655-9
3127. Geographical bias in physiological data limits predictions of global change impacts C. White et al. https://doi.org/10.1111/1365-2435.13807
3128. Projected Effects of Climate Change on the Energy Footprints of U.S. Drinking Water Utilities R. Sowby & R. Hales https://doi.org/10.3390/hydrology9100182
3129. SWAT and CMIP6-driven hydro-climate modeling of future flood risks and vegetation dynamics in the White Oak Bayou Watershed, United States S. Marshall et al. https://doi.org/10.1007/s41748-025-00621-2
3130. Construction of an ecological model of Sambucus javanica blume in China under different climate scenarios based on maxent model J. Liao et al. https://doi.org/10.1007/s11258-023-01291-8
3131. Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble F. Lehner et al. https://doi.org/10.1002/joc.8623
3132. Investigating the Performance of CMIP6 Seasonal Precipitation Predictions and a Grid Based Model Heterogeneity Oriented Deep Learning Bias Correction Framework B. Huang et al. https://doi.org/10.1029/2023JD039046
3133. Global potential distributions and conservation status of rice wild relatives Y. Lin et al. https://doi.org/10.1002/ppp3.10522
3134. The large role of declining atmospheric sulfate deposition and rising CO 2 concentrations in stimulating future wetland CH 4 emissions L. Shen et al. https://doi.org/10.1126/sciadv.adn1056
3135. Assessment of Climate Change Impact on Water Requirement and Rice Productivity K. N’guessan et al. https://doi.org/10.1016/j.rsci.2023.03.010
3136. Will population exposure to heat extremes intensify over Southeast Asia in a warmer world? X. Sun et al. https://doi.org/10.1088/1748-9326/ac48b6
3137. 2023 temperatures reflect steady global warming and internal sea surface temperature variability B. Samset et al. https://doi.org/10.1038/s43247-024-01637-8
3138. Analog data assimilation for the selection of suitable general circulation models J. Ruiz et al. https://doi.org/10.5194/gmd-15-7203-2022
3139. Key to ENSO phase-locking simulation: effects of sea surface temperature diurnal amplitude X. Yang et al. https://doi.org/10.1038/s41612-023-00483-3
3140. Model Uncertainty in the Projected Indian Summer Monsoon Precipitation Change under Low-Emission Scenarios S. Long & G. Li https://doi.org/10.3390/atmos12020248
3141. Confirming the substantial contribution of ozone-depleting halocarbon emissions to global warming during the second half of the 20th century M. Friedel et al. https://doi.org/10.1038/s41612-026-01398-5
3142. Identifying assets exposed to physical climate risk: A decision-support methodology J. Bertrand et al. https://doi.org/10.1016/j.ijpe.2024.109355
3143. Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity T. Myers et al. https://doi.org/10.1038/s41558-021-01039-0
3144. Non-stationary low flow frequency analysis under climate change M. Yılmaz & F. Tosunoğlu https://doi.org/10.1007/s00704-024-05081-8
3145. Future Changes in Hydro-Climatic Extremes across Vietnam: Evidence from a Semi-Distributed Hydrological Model Forced by Downscaled CMIP6 Climate Data H. Do et al. https://doi.org/10.3390/w16050674
3146. Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. https://doi.org/10.1029/2020EA001241
3147. Northern Hemisphere Sudden Stratospheric Warming and Its Downward Impact in Four Chinese CMIP6 Models J. Rao et al. https://doi.org/10.1007/s00376-020-0250-0
3148. Dynamics of caspian ice in the context of climate change and the prospects for sea ice cover with implications for the habitat of Caspian seals Z. Naurozbayeva et al. https://doi.org/10.2166/wcc.2026.200
3149. Antarctic ice-shelf basal melt shaped by competing feedbacks M. Youngs et al. https://doi.org/10.1038/s41561-026-01975-6
3150. Increased Summer European Heatwaves in Recent Decades: Contributions From Greenhouse Gases‐Induced Warming and Atlantic Multidecadal Oscillation‐Like Variations B. Luo et al. https://doi.org/10.1029/2023EF003701
3151. Historical Trend and Future Projection of Extreme Seasonal Precipitation over Ethiopia, East Africa D. Berhanu et al. https://doi.org/10.3390/cli14040088
3152. Multi-site evaluation of historical climate records and CMIP6 projections across the Mediterranean D. Secci et al. https://doi.org/10.1016/j.ejrh.2026.103713
3153. Projected shifts in dry–wet extremes and possible associated drivers over the Hindu Kush Himalaya P. Chaubey et al. https://doi.org/10.1080/19475705.2026.2692760
3154. Exploratory Precipitation Metrics: Spatiotemporal Characteristics, Process-Oriented, and Phenomena-Based L. Leung et al. https://doi.org/10.1175/JCLI-D-21-0590.1
3155. Selection of CMIP6 GCM with projection of climate over the Amu Darya River Basin O. Salehie et al. https://doi.org/10.1007/s00704-022-04332-w
3156. Northern Hemisphere stratospheric temperature response to external forcing in decadal climate simulations A. Fahad et al. https://doi.org/10.5194/acp-26-647-2026
3157. Implementation of Groundwater Lateral Flow and Human Water Regulation in CAS‐FGOALS‐g3 L. Wang et al. https://doi.org/10.1029/2019JD032289
3158. Marginal ice zone fraction benchmarks sea ice and climate model skill C. Horvat https://doi.org/10.1038/s41467-021-22004-7
3159. Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. https://doi.org/10.1029/2023GL103381
3160. Distinguishing Convective-Transition Moisture-Temperature Relationships with a Constellation of Polarimetric Radio Occultation Observations in and near Convection F. Turk et al. https://doi.org/10.3390/atmos13020259
3161. The Impact of CO2-Driven Climate Change on the Arctic Atmospheric Energy Budget in CMIP6 Climate Model Simulations O. Linke & J. Quaas https://doi.org/10.16993/tellusa.29
3162. Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals G. Di Virgilio et al. https://doi.org/10.1029/2021EF002625
3163. Investigating future Komodo dragon habitat alteration in the human-dominated landscape A. Yudistira et al. https://doi.org/10.5141/jee.25.064
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3166. Utility of Open-Access Long-Term Precipitation Data Products for Correcting Climate Model Projection in South China D. Cao et al. https://doi.org/10.3390/w15162906
3167. Interbasin Interactions between the Pacific and Atlantic Oceans Depending on the Phase of Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation J. Hong et al. https://doi.org/10.1175/JCLI-D-21-0408.1
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3169. Predicting yield and water requirement of wet season rice in subtropical monsoon climate under different climate scenarios M. Rony et al. https://doi.org/10.1007/s10584-026-04311-4
3170. Impact of model resolution on the representation of the air–sea interaction associated with the North Water Polynya G. Moore & K. Våge https://doi.org/10.1002/qj.3295
3171. North Atlantic circulation and climate variability during the last glacial maximum and the last interglacial: insights from CMIP6/PMIP4 climate models D. Chinnaswamy et al. https://doi.org/10.1007/s00382-026-08278-x
3172. Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. https://doi.org/10.1371/journal.pclm.0000159
3173. The impact of ice structures and ocean warming in Milne Fiord J. Bonneau et al. https://doi.org/10.5194/tc-19-2615-2025
3174. How short climate records affect GEV-based estimates of rare event probabilities R. Patel & T. Schneider https://doi.org/10.1088/2752-5295/ae71fb
3175. Theory and the future of land-climate science M. Byrne et al. https://doi.org/10.1038/s41561-024-01553-8
3176. The Anomalous Mei-yu Rainfall of Summer 2020 from a Circulation Clustering Perspective: Current and Possible Future Prevalence R. Clark et al. https://doi.org/10.1007/s00376-021-1086-y
3177. Assessment of the Current and Projected Conditions of Water Availability in the Sevastopol Region for Grape Growing E. Vyshkvarkova et al. https://doi.org/10.3390/agronomy11081665
3178. Evaluation of Extreme Climate Indices over the Three Northeastern Provinces of China Based on CMIP6 Models Outputs H. Xiao et al. https://doi.org/10.3390/w15223895
3179. Large language models for climate vulnerability assessment: a reproducible framework with uncertainty quantification A. Zhang & H. Li https://doi.org/10.3389/feart.2026.1792665
3180. Wild relatives of potato may bolster its adaptation to new niches under future climate scenarios N. Fumia et al. https://doi.org/10.1002/fes3.360
3181. The biological carbon pump in CMIP6 models: 21st century trends and uncertainties J. Wilson et al. https://doi.org/10.1073/pnas.2204369119
3182. On the foundations of Earth foundation models X. Zhu et al. https://doi.org/10.1038/s43247-025-03127-x
3183. Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation Y. Zhao et al. https://doi.org/10.1007/s00382-021-05991-7
3184. Differential impacts of climate change on specialist butterflies and their host plants L. Wieringa et al. https://doi.org/10.1016/j.gecco.2026.e04400
3185. Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally N. Ma et al. https://doi.org/10.1029/2021WR029691
3186. Counteracting greenhouse gas and aerosol influences intensify global water seasonality over the past century F. Zhao et al. https://doi.org/10.1038/s43247-025-02025-6
3187. Multi-decadal streamflow projections for catchments in Brazil based on CMIP6 multi-model simulations and neural network embeddings for linear regression models M. Scheuerer et al. https://doi.org/10.5194/hess-29-5099-2025
3188. Contrasting internally and externally generated Atlantic Multidecadal Variability and the role for AMOC in CMIP6 historical simulations J. Robson et al. https://doi.org/10.1098/rsta.2022.0194
3189. Advanced hydrological assessment with SWAT+ under climate change: An integrated framework over large climate-sensitive and reservoir-regulated watershed D. Mishra et al. https://doi.org/10.1016/j.scitotenv.2025.180062
3190. Simulations of ocean deoxygenation in the historical era: insights from forced and coupled models Y. Takano et al. https://doi.org/10.3389/fmars.2023.1139917
3191. Frequent but Predictable Droughts in East Africa Driven by a Walker Circulation Intensification C. Funk et al. https://doi.org/10.1029/2022EF003454
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3193. Evaluation and Projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models D. Sardana et al. https://doi.org/10.1007/s00382-025-07646-3
3194. Large-scale sea ice–Surface temperature variability linked to Atlantic meridional overturning circulation P. Vaideanu et al. https://doi.org/10.1371/journal.pone.0290437
3195. Important non-local effects of deforestation on cloud cover changes in CMIP6 models W. Hua et al. https://doi.org/10.1088/1748-9326/acf232
3196. Canadian snow and sea ice: historical trends and projections L. Mudryk et al. https://doi.org/10.5194/tc-12-1157-2018
3197. El Niño/Southern Oscillation inhibited by submesoscale ocean eddies S. Wang et al. https://doi.org/10.1038/s41561-021-00890-2
3198. A 21st century shift in the mechanisms of the early-winter United States snowfall variability S. Liu & S. Hu https://doi.org/10.1088/1748-9326/ad4e4d
3199. Statistical properties of multi-year droughts in climate models and observations with corresponding theoretical estimates S. Power & Z. Gillett https://doi.org/10.1007/s00382-025-07632-9
3200. Integrated Assessment of Climate-Driven Streamflow Changes in a Transboundary Lake Basin Using CMIP6-SWAT+-BMA: A Sustainability Perspective F. Xiao et al. https://doi.org/10.3390/su17177901
3201. Spatial assessment of land use compensation potential for climate-based soil organic carbon stock losses in Poland by 2050 J. Coblinski & S. Pindral https://doi.org/10.1016/j.agee.2026.110559
3202. Indian heatwaves in a future climate with varying hazard thresholds K. Rao et al. https://doi.org/10.1088/2752-5295/acb077
3203. The contribution of anthropogenic influence to more anomalous extreme precipitation in Europe H. Tabari et al. https://doi.org/10.1088/1748-9326/abb268
3204. Forecasting the Distribution of a Range-Expanding Bat Reveals Future Response to Climate Change and Habitat M. True et al. https://doi.org/10.3161/15081109ACC2021.23.1.011
3205. Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models J. Ma et al. https://doi.org/10.1080/17538947.2022.2142307
3206. The interdecadal variations and causes of the relationship between Autumn Precipitation Anomalies in Eastern China and SSTA over the Southeastern tropical Indian Ocean L. Huo et al. https://doi.org/10.1007/s00382-022-06348-4
3207. Future Projections of Extreme Integrated Water Vapor Transport and Population Exposure Over the Asian Monsoon Region L. Guo et al. https://doi.org/10.1029/2023EF003583
3208. Bias-corrected high-resolution temperature and precipitation projections for Canada H. Abdelmoaty et al. https://doi.org/10.1038/s41597-025-04396-z
3209. Projected hydroclimatic changes in Xinjiang under bias-corrected CMIP6 scenarios Y. Xu et al. https://doi.org/10.3389/fpls.2025.1679735
3210. Hotspots and drivers of compound marine heatwaves and low net primary production extremes N. Le Grix et al. https://doi.org/10.5194/bg-19-5807-2022
3211. Enhanced marine burial of terrestrial organic carbon through the Palaeocene–Eocene Thermal Maximum G. Inglis et al. https://doi.org/10.1038/s41561-026-02012-2
3212. Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al. https://doi.org/10.5194/esd-16-607-2025
3213. Insights from CMIP6 SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin Z. Zhou et al. https://doi.org/10.1016/j.scitotenv.2023.165618
3214. A revisit of the linearity in the combined effect of ENSO and QBO on the stratosphere: model evidence from CMIP5/6 H. Wang et al. https://doi.org/10.1007/s00382-024-07430-9
3215. Analyzing the spatiotemporal distribution of climate extremes under the CMIP6 climate model in the upper Blue Nile Basin, Ethiopia F. Enyew et al. https://doi.org/10.1007/s11069-026-07998-x
3216. Urban Resilience of Shenzhen City under Climate Change W. Shao et al. https://doi.org/10.3390/atmos12050537
3217. Projected patterns of land uses in Africa under a warming climate I. Yahaya et al. https://doi.org/10.1038/s41598-024-61035-0
3218. Future climate change shaped by inter-model differences in Atlantic meridional overturning circulation response K. Bellomo et al. https://doi.org/10.1038/s41467-021-24015-w
3219. Advancements and continued challenges in observations and global modelling of atmospheric ice mass P. Eriksson et al. https://doi.org/10.5194/acp-26-2741-2026
3220. Verification Data and the Skill of Decadal Predictions G. Boer et al. https://doi.org/10.3389/fclim.2022.836817
3221. Enhanced global carbon cycle sensitivity to tropical temperature linked to internal climate variability N. Li et al. https://doi.org/10.1126/sciadv.adl6155
3222. Evolution characteristics and causes of melt ponds in the Arctic Ocean X. Fang & L. Zhang https://doi.org/10.1007/s13131-024-2390-z
3223. Increasing Causal Effects of El Niño–Southern Oscillation on the Future Carbon Cycle of Terrestrial Ecosystems T. Le et al. https://doi.org/10.1029/2021GL095804
3224. Responses of the East Asian Winter Climate to Global Warming in CMIP6 Models Y. Jiang et al. https://doi.org/10.3390/atmos16101143
3225. Projected changes in extreme waves and coastal hazards along the North Indian Ocean Coast utilizing high-resolution CMIP6 wave ensemble . Arju et al. https://doi.org/10.1016/j.oceaneng.2026.128371
3226. Response of atmospheric pCO$$_2$$ to a strong AMOC weakening under low and high emission scenarios A. Boot et al. https://doi.org/10.1007/s00382-024-07295-y
3227. SAGE III/ISS aerosol/cloud categorization and its impact on GloSSAC M. Kovilakam et al. https://doi.org/10.5194/amt-16-2709-2023
3228. Understanding the influence of “hot” models in climate impact studies: a hydrological perspective M. Rahimpour Asenjan et al. https://doi.org/10.5194/hess-27-4355-2023
3229. Decomposing the response of the stratospheric Brewer–Dobson circulation to an abrupt quadrupling in CO2 A. Chrysanthou et al. https://doi.org/10.5194/wcd-1-155-2020
3230. Downscaling the probability of heavy rainfall over the Nordic countries R. Benestad et al. https://doi.org/10.5194/hess-29-45-2025
3231. The impact of Arctic sea‐ice loss on winter weather in the British Isles S. Hay et al. https://doi.org/10.1002/qj.70012
3232. Attribution of observed changes in extreme temperatures to anthropogenic forcing using CMIP6 models M. Engdaw et al. https://doi.org/10.1016/j.wace.2023.100548
3233. Unlocking the benefits of transparent and reusable science for climate risk management A. Pollack et al. https://doi.org/10.1073/pnas.2422157123
3234. Process-based modeling of jack pine productivity and climatic thresholds in the Canadian boreal forest N. Mehdipour & R. Yousefpour https://doi.org/10.1080/02827581.2026.2718878
3235. Future extreme precipitation amplified by intensified mesoscale moisture convergence P. Chang et al. https://doi.org/10.1038/s41561-025-01859-1
3236. Habitat Suitability Modeling: A Tool for Restoring Butternut, Juglans cinerea L., in the Eastern United States S. Adeyemo et al. https://doi.org/10.1007/s44392-025-00057-6
3237. General circulation and global heat transport in a quadrupling CO2 pulse experiment S. An et al. https://doi.org/10.1038/s41598-022-15905-0
3238. Quantifying land carbon cycle feedbacks under negative CO2 emissions V. Chimuka et al. https://doi.org/10.5194/bg-20-2283-2023
3239. Avoidable heat-related mortality in China during the 21st century G. Zhang et al. https://doi.org/10.1038/s41612-023-00404-4
3240. Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs K. Karan et al. https://doi.org/10.1007/s40333-022-0081-1
3241. Large Contribution of Ozone‐Depleting Substances to Global and Arctic Warming in the Late 20th Century M. Sigmond et al. https://doi.org/10.1029/2022GL100563
3242. The temporal, spatial and population heterogeneity of the associations between ambient temperature and injury by animal in China: A nationwide case-crossover study W. Zeng et al. https://doi.org/10.1016/j.ecoenv.2025.118206
3243. Assessing future wheat evapotranspiration dynamics in the Kermanshah plain using CMIP6 and GEESEBAL: integration of SSP scenarios and machine learning-based projections N. Baboli et al. https://doi.org/10.1007/s13201-026-02915-w
3244. Taking stock: Is recovery of a depleted population possible in a changing climate? J. Langan et al. https://doi.org/10.1111/fog.12599
3245. An Evaluation of the Large‐Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models I. Simpson et al. https://doi.org/10.1029/2020JD032835
3246. Intensifying heat extremes in China attributed to rising greenhouse gases and declining aerosols since the 2010s A. Zou et al. https://doi.org/10.1088/1748-9326/adf2c0
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3248. The Regional Aerosol Model Intercomparison Project (RAMIP) L. Wilcox et al. https://doi.org/10.5194/gmd-16-4451-2023
3249. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR) W. Müller et al. https://doi.org/10.1029/2017MS001217
3250. Responses of precipitation and water vapor budget on the Chinese Loess Plateau to global land cover change forcing L. Qiu et al. https://doi.org/10.1016/j.jenvman.2024.121588
3251. Pacific variability reconciles observed and modelled global mean temperature increase since 1950 M. Stolpe et al. https://doi.org/10.1007/s00382-020-05493-y
3252. Functionality of Ice Line Latitudinal EBM Tenacity (FILLET). Protocol Version 1.1 R. Barnes et al. https://doi.org/10.3847/PSJ/ae1c3c
3253. Snowmelt Runoff in the Yarlung Zangbo River Basin and Runoff Change in the Future H. Ji et al. https://doi.org/10.3390/rs15010055
3254. Continued Atlantic overturning circulation even under climate extremes J. Baker et al. https://doi.org/10.1038/s41586-024-08544-0
3255. Recent Climate Variability around the Kerguelen Islands (Southern Ocean) Seen through Weather Regimes B. Pohl et al. https://doi.org/10.1175/JAMC-D-20-0255.1
3256. Characteristics, drivers and feedbacks of global greening S. Piao et al. https://doi.org/10.1038/s43017-019-0001-x
3257. Evaluating tree-ring proxies for representing the ecosystem productivity in India A. Sarkar et al. https://doi.org/10.1007/s00484-024-02799-y
3258. Age-specific disparities in temperature-related injury risks and burdens among Chinese children K. Liang et al. https://doi.org/10.1016/j.envres.2026.123736
3259. Improved decadal predictions of East Asian summer monsoon with a weakly coupled data assimilation scheme F. Li et al. https://doi.org/10.1002/joc.7141
3260. What lies ahead? The future performance of Global South residential buildings amid climate change: A systematic literature review A. Cruz et al. https://doi.org/10.1016/j.jobe.2024.111486
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3263. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 W. Collins et al. https://doi.org/10.5194/gmd-10-585-2017
3264. July–September rainfall in the Greater Horn of Africa: the combined influence of the Mascarene and South Atlantic highs E. Dyer et al. https://doi.org/10.1007/s00382-022-06287-0
3265. Stratospheric aerosol evolution after Pinatubo simulated with a coupled size-resolved aerosol–chemistry–climate model, SOCOL-AERv1.0 T. Sukhodolov et al. https://doi.org/10.5194/gmd-11-2633-2018
3266. Dynamic sea-level changes and potential implications for storm surges in the UK: a storylines perspective C. Bulgin et al. https://doi.org/10.1088/1748-9326/acc6df
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3269. The Contribution of Climate Change to Increasing Extreme Ocean Warming Around Japan M. Hayashi et al. https://doi.org/10.1029/2022GL100785
3270. Future Projection of Precipitation Bioclimatic Indicators over Southeast Asia Using CMIP6 M. Sobh et al. https://doi.org/10.3390/su142013596
3271. Impact of Extreme Heat on Cardiovascular Health in Kuwait: Present and Future Projections Y. Alwadi et al. https://doi.org/10.1007/s44197-024-00330-5
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3273. Evaluation of the CAMS-CSM Model in predicting a Northeast Cold Vortex Event at the early Onset of 2020 Mei-yu season D. Liu & L. Wang https://doi.org/10.1016/j.atmosres.2022.106430
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3275. NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. https://doi.org/10.5194/gmd-14-7073-2021
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3280. Differences and similarities in Indian monsoon response to aerosols and to land-use/land-cover change R. Puri & A. Giannini https://doi.org/10.1088/1748-9326/adcc43
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3326. Shellfish Aquaculture Complements Nutrient Reduction in Mitigating Climate-Exacerbated Coastal Hypoxia L. Yu et al. https://doi.org/10.1021/acs.est.5c06682
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3395. Enhanced atmospheric oxidation toward carbon neutrality reduces methane’s climate forcing M. Liu et al. https://doi.org/10.1038/s41467-024-47436-9
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3403. Projected spatial distribution and geographic shifts of suitable habitats for two major plague vectors under climate and land-use change in Qinghai, China Z. Yang et al. https://doi.org/10.1016/j.actatropica.2026.108338
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3434. Evaluation and Projection of Wind Speed in the Arid Region of Northwest China Based on CMIP6 Y. Long et al. https://doi.org/10.3390/rs13204076
3435. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. https://doi.org/10.5194/bg-22-323-2025
3436. High-resolution global population projections dataset developed with CMIP6 RCP and SSP scenarios for year 2010–2100 N. Olén & V. Lehsten https://doi.org/10.1016/j.dib.2022.107804
3437. Development of flood hazard index under climate change scenarios in Java Island M. Farid et al. https://doi.org/10.1016/j.pdisas.2023.100302
3438. Vegetation browning patterns under compound soil and atmospheric dryness in northern permafrost ecosystems M. Wu et al. https://doi.org/10.1038/s41467-026-75131-4
3439. A machine learning approach to rapidly project climate responses under a multitude of net-zero emission pathways V. Kitsios et al. https://doi.org/10.1038/s43247-023-01011-0
3440. Projections of mortality attributable to hot ambient temperatures in Cyprus under moderate and extreme climate change scenarios M. Ma et al. https://doi.org/10.1016/j.ijheh.2024.114439
3441. On the use of Infrared Atmospheric Sounding Interferometer (IASI) spectrally resolved radiances to test the EC-Earth climate model (v3.3.3) in clear-sky conditions S. Della Fera et al. https://doi.org/10.5194/gmd-16-1379-2023
3442. Assessing the Skill of CMIP6 Annual-to-Decadal Climate Forecasts at the Catchment Scale in Northeast Brazil G. Feitosa et al. https://doi.org/10.3390/cli14070144
3443. Dynamical landscape and multistability of a climate model G. Margazoglou et al. https://doi.org/10.1098/rspa.2021.0019
3444. Overcoming the disconnect between energy system and climate modeling M. Craig et al. https://doi.org/10.1016/j.joule.2022.05.010
3445. Volcanic eruptions disrupt ENSO teleconnections with land summer temperature X. Zhang et al. https://doi.org/10.1038/s41467-025-64879-w
3446. Enhanced El Niño–Southern Oscillation impact on Somali jet under greenhouse warming H. Wang et al. https://doi.org/10.1007/s00382-025-07988-y
3447. An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. https://doi.org/10.5194/gmd-16-1459-2023
3448. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber https://doi.org/10.1029/2022GL099463
3449. Regional Dynamic Sea Level Simulated in the CMIP5 and CMIP6 Models: Mean Biases, Future Projections, and Their Linkages K. Lyu et al. https://doi.org/10.1175/JCLI-D-19-1029.1
3450. Twenty first century changes in Antarctic and Southern Ocean surface climate in CMIP6 T. Bracegirdle et al. https://doi.org/10.1002/asl.984
3451. Socio-demographic factors shaping the future global health burden from air pollution H. Yang et al. https://doi.org/10.1038/s41893-022-00976-8
3452. Global economic exposure to climate change amplified by spatially compounding climate extremes B. Biess et al. https://doi.org/10.1038/s41467-026-70127-6
3453. Climate change projection using statistical downscaling model over southern coastal Iran S. Esfandeh et al. https://doi.org/10.1016/j.heliyon.2024.e29416
3454. Coordinating multi-energy stations for climate-resilient district cooling: A computationally efficient optimization framework X. Wei et al. https://doi.org/10.1016/j.energy.2026.140341
3455. Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence T. George et al. https://doi.org/10.1038/s41467-020-20779-9
3456. Changing ocean seasonal cycle escalates destructive marine heatwaves in a warming climate S. Wang et al. https://doi.org/10.1088/1748-9326/ac6685
3457. Greenhouse warming exacerbates El Niño-induced Indian monsoon droughts Y. Zhao et al. https://doi.org/10.1038/s41467-026-76049-7
3458. Evaluating North American winter extreme precipitation variability and its drivers in CMIP6 models D. Jeong et al. https://doi.org/10.1016/j.wace.2026.100948
3459. Climate-adaptive stochastic framework for annual maximum wind speed prediction J. Zou et al. https://doi.org/10.1016/j.jweia.2026.106483
3460. Emergent constraints on carbon budgets as a function of global warming P. Cox et al. https://doi.org/10.1038/s41467-024-46137-7
3461. Spatiotemporal assessment of offshore wind energy resources in the Guangdong–Hong Kong–Macau greater Bay area considering climate change impacts J. He et al. https://doi.org/10.1063/5.0268811
3462. Compaction induced losses in soil services in Europe under future climate A. Romero-Ruiz et al. https://doi.org/10.1088/1748-9326/ae7c8d
3463. Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies R. Schaldach et al. https://doi.org/10.1038/s44168-026-00353-7
3464. Projected sea level rise in Thailand: Regional effects of climate change and solar radiation modification based on observations and the GeoMIP6 P. Narenpitak et al. https://doi.org/10.1525/elementa.2024.00069
3465. Comparing storm resolving models and climates via unsupervised machine learning G. Mooers et al. https://doi.org/10.1038/s41598-023-49455-w
3466. Incorporating EarthCARE observations into a multi-lidar cloud climate record: the ATLID (Atmospheric Lidar) cloud climate product A. Feofilov et al. https://doi.org/10.5194/amt-16-3363-2023
3467. Sources of MJO teleconnection errors in the ECMWF extended‐range forecasts F. Vitart & M. Balmaseda https://doi.org/10.1002/qj.4688
3468. Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons A. Lauer et al. https://doi.org/10.5194/esd-9-33-2018
3469. Impacts of leaf traits on vegetation optical properties in Earth system modeling Y. Wang et al. https://doi.org/10.1038/s41467-025-60149-x
3470. A Framework to Quantify the Uncertainty Contribution of GCMs Over Multiple Sources in Hydrological Impacts of Climate Change H. Wang et al. https://doi.org/10.1029/2020EF001602
3471. Attributing the driving mechanisms of the 2015–2017 drought in the Western Cape (South Africa) using self-organising maps R. Odoulami et al. https://doi.org/10.1088/1748-9326/ace26f
3472. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. https://doi.org/10.5194/hess-25-3429-2021
3473. High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future R. Arthur et al. https://doi.org/10.1063/5.0254086
3474. Understanding surface temperature changes over the Tibetan Plateau in the last millennium from a modeling perspective M. Zuo et al. https://doi.org/10.1007/s00382-024-07240-z
3475. Comparison of Coincident Optical Particle Counter and Lidar Measurements of Polar Stratospheric Clouds Above McMurdo (77.85°S, 166.67°E) From 1994 to 1999 M. Snels et al. https://doi.org/10.1029/2020JD033572
3476. Climate sensitivity controls global precipitation hysteresis in a changing CO2 pathway S. Song et al. https://doi.org/10.1038/s41612-023-00484-2
3477. Projected irrigation demand for large-scale rice granary under future climate scenarios based on CMIP6 multi-GCM ensemble: a case study of Kerian Irrigation Scheme, Malaysia M. Nasir et al. https://doi.org/10.1007/s00704-023-04812-7
3478. The impact of spatiotemporal variability in atmospheric CO2 concentration on global terrestrial carbon fluxes E. Lee et al. https://doi.org/10.5194/bg-15-5635-2018
3479. Impact of ocean heat transport on sea ice captured by a simple energy balance model J. Aylmer et al. https://doi.org/10.1038/s43247-024-01565-7
3480. Equilibrium line altitudes, accumulation areas and the vulnerability of glaciers in Alaska L. Zeller et al. https://doi.org/10.1017/jog.2024.65
3481. Partial-convolution-implemented generative adversarial network for global oceanic data assimilation Y. Ham et al. https://doi.org/10.1038/s42256-024-00867-x
3482. Emulating the forced response of climate models with generative machine learning G. Clyne et al. https://doi.org/10.1088/3049-4753/aeac2f
3483. Modeling climate change impacts on urban population exposure to heat stress dynamics in Vancouver and Victoria, Canada F. Azargoshasbi & L. Minet https://doi.org/10.1016/j.scs.2025.106992
3484. Decadal predictability of summer precipitation in Northwestern China originated from the North Atlantic Ocean Y. Xiang et al. https://doi.org/10.1038/s41612-025-01197-4
3485. Process-based evaluation of Eastern Mediterranean heatwave development in the CMIP6 models A. Klif et al. https://doi.org/10.1016/j.wace.2026.100918
3486. Evaluation and Comparison of CMIP6 Global Climate Model Historical Simulations Against ERA5 Reanalysis for Mediterranean Cyclone Tracking E. Dolgos et al. https://doi.org/10.3390/atmos17100922
3487. More than six billion people encountering more exposure to extremes with 1.5 °C and 2.0 °C warming P. Qin https://doi.org/10.1016/j.atmosres.2022.106165
3488. North Atlantic Oscillation in winter is largely insensitive to autumn Barents-Kara sea ice variability P. Siew et al. https://doi.org/10.1126/sciadv.abg4893
3489. Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. https://doi.org/10.1029/2019MS002009
3490. Selecting and weighting dynamical models using data-driven approaches P. Le Bras et al. https://doi.org/10.5194/npg-31-303-2024
3491. Assessment of Livelihood Vulnerability to Climate Change: A Multidimensional Case Study from Dongarampur Region, India D. Zewdu et al. https://doi.org/10.1007/s41748-025-00766-0
3492. Arctic Sea Ice in Two Configurations of the CESM2 During the 20th and 21st Centuries P. DeRepentigny et al. https://doi.org/10.1029/2020JC016133
3493. Projected increase in the frequency of extremely active Atlantic hurricane seasons H. Lopez et al. https://doi.org/10.1126/sciadv.adq7856
3494. Agreement of Analytical and Simulation‐Based Estimates of the Required Land Depth in Climate Models N. Steinert et al. https://doi.org/10.1029/2021GL094273
3495. Climate change may outpace current wheat breeding yield improvements in North America T. Zhang et al. https://doi.org/10.1038/s41467-022-33265-1
3496. Possible Effects of Climate Change on the Occurrence and Distribution of the Rare Moss Buxbaumia viridis in Serbia (SE Europe) J. Pantović et al. https://doi.org/10.3390/plants12030557
3497. Chemistry–climate feedback of atmospheric methane in a methane-emission-flux-driven chemistry–climate model L. Stecher et al. https://doi.org/10.5194/acp-25-5133-2025
3498. Evaluating the validity of using sea surface temperature as an alternative to bottom temperature in American lobster habitat suitability modeling X. Yang et al. https://doi.org/10.1016/j.pocean.2026.103667
3499. Escalating Future Climate Extremes Across the Black Sea Basin Driven by Kilometer-Scale Scenario Simulations M. Kelebek et al. https://doi.org/10.1007/s41748-026-01144-0
3500. Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long‐Term Persistence, Autocorrelation, and Distributional Shape S. Papalexiou et al. https://doi.org/10.1029/2020EF001667
3501. CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. https://doi.org/10.5194/gmd-14-4117-2021
3502. GMMIP (v1.0) contribution to CMIP6: Global Monsoons Model Inter-comparison Project T. Zhou et al. https://doi.org/10.5194/gmd-9-3589-2016
3503. Alleviation of an Arctic Sea Ice Bias in a Coupled Model Through Modifications in the Subgrid‐Scale Orographic Parameterization G. Gastineau et al. https://doi.org/10.1029/2020MS002111
3504. Diverging hydrological sensitivity among tropical basins J. He et al. https://doi.org/10.1038/s41558-024-01982-8
3505. Ocean response to a century of observation-based freshwater forcing around Greenland in EC-Earth3 M. Devilliers et al. https://doi.org/10.1007/s00382-024-07142-0
3506. Ocean Futures for the World’s Largest Yellowfin Tuna Population Under the Combined Effects of Ocean Warming and Acidification S. Nicol et al. https://doi.org/10.3389/fmars.2022.816772
3507. Changes in extreme temperatures and precipitation over pan-Arctic land driven by anthropogenic influences Y. Yang et al. https://doi.org/10.1016/j.wace.2025.100825
3508. Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region M. Haq et al. https://doi.org/10.3390/s21217416
3509. Atmospheric variability contributes to increasing wildfire weather but not as much as global warming N. Diffenbaugh et al. https://doi.org/10.1073/pnas.2117876118
3510. Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective J. Hinkel et al. https://doi.org/10.1029/2018EF001071
3511. Divergent features of the upper-tropospheric carbonaceous aerosol layer: effects of atmospheric dynamics and pollution emissions in Asia, South America, and Africa D. Wu et al. https://doi.org/10.1088/1748-9326/ad2eef
3512. State of the UK Climate 2023 M. Kendon et al. https://doi.org/10.1002/joc.8553
3513. Robust and Nonrobust Aspects of Atlantic Meridional Overturning Circulation Variability and Mechanisms in the Community Earth System Model G. Danabasoglu et al. https://doi.org/10.1175/JCLI-D-19-0026.1
3514. Tropical instability waves in a high-resolution oceanic and coupled GCM T. Li et al. https://doi.org/10.1016/j.ocemod.2023.102169
3515. Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6 N. Kumar et al. https://doi.org/10.1080/10106049.2021.1973116
3516. Decreased ENSO post-2100 in response to formation of a permanent El Niño-like state under greenhouse warming T. Geng et al. https://doi.org/10.1038/s41467-024-50156-9
3517. Climate-driven changes in the predictability of seasonal precipitation P. Le et al. https://doi.org/10.1038/s41467-023-39463-9
3518. Do the expected heatwaves pose a threat to lichens?: Linkage between a passive decline in water content in thalli and response to heat stress P. Osyczka & B. Myśliwa‐Kurdziel https://doi.org/10.1111/pce.14999
3519. An imminent return to drought in the western Sahel? D. Wane et al. https://doi.org/10.1126/sciadv.adu5415
3520. Future precipitation projections using CMIP6 multimodel ensemble: a deep learning-based bias correction approach M. Ettehadi et al. https://doi.org/10.2166/wcc.2026.025
3521. Climate Change Amplification of Natural Drought Variability: The Historic Mid-Twentieth-Century North American Drought in a Warmer World B. Cook et al. https://doi.org/10.1175/JCLI-D-18-0832.1
3522. Modelling the impacts of future droughts and post-droughts on hydrology, crop yields, and their linkages through assessing virtual water trade in agricultural watersheds of high-latitude regions P. Khalili et al. https://doi.org/10.1016/j.jhydrol.2024.131530
3523. Changes in the probability of temporally compound wet and dry events in a warmer world: case study in the Upper Jhelum Basin—South Asia R. Ansari et al. https://doi.org/10.1007/s10113-025-02367-z
3524. Evaluation of Black Carbon Concentration Levels and Trends in East Asia from CMIP6 Climate Models: Comparison to Long-Term Observations in Japan and Biases Due to Chinese Emissions K. Ikeda et al. https://doi.org/10.2151/sola.2023-031
3525. Elucidating diverse population exposure to compound drought and heatwave events from two meteorological drought indices (SPI and SPEI) T. Wang et al. https://doi.org/10.1088/1748-9326/adad01
3526. Advancing climate modeling: a multi-framework methodology for evaluating GCMs and predicting drought trends M. Shakeel et al. https://doi.org/10.1007/s11600-025-01701-7
3527. Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. https://doi.org/10.5194/esd-13-251-2022
3528. Scientific data from precipitation driver response model intercomparison project G. Myhre et al. https://doi.org/10.1038/s41597-022-01194-9
3529. Anthropogenic forcing dominates relentless westward extension of the western North Pacific subtropical high X. An et al. https://doi.org/10.1016/j.atmosres.2026.109301
3530. Framework to assess climate change impact on heating and cooling energy demands in building stock: A case study of Belgium in 2050 and 2100 E. Elnagar et al. https://doi.org/10.1016/j.enbuild.2023.113547
3531. Future Climate Change Hotspots Under Different 21st Century Warming Scenarios X. Fan et al. https://doi.org/10.1029/2021EF002027
3532. Distinct responses of tropical cyclone activity to spatio-uniform and nonuniform SST warming patterns M. Xu et al. https://doi.org/10.1088/1748-9326/ad4976
3533. Evaluation of ENSO in CMIP5 and CMIP6 models and its significance in the rainfall in Northeast Thailand Y. De Silva et al. https://doi.org/10.1007/s00704-023-04585-z
3534. Changes in precipitation and air temperature contribute comparably to permafrost degradation in a warmer climate Z. Mekonnen et al. https://doi.org/10.1088/1748-9326/abc444
3535. An integrated method for TCWV prediction using deep learning coupled with physical constraints: a physics-aware spatio-temporal attention network L. Xu et al. https://doi.org/10.1080/20964471.2026.2680809
3536. Pliocene Model Intercomparison Project Phase 3 (PlioMIP3) – Science plan and experimental design A. Haywood et al. https://doi.org/10.1016/j.gloplacha.2023.104316
3537. Comparison of multi-model ensembles of global and regional climate model projections for daily characteristics of precipitation over four major river basins in southern Africa. Part II: Future changes under 1.5 °C, 2.0 °C and 3.0 °C warming levels S. Samuel et al. https://doi.org/10.1016/j.atmosres.2023.106921
3538. Exploring the Impact of Climate Change on Water Resources for Vegetation Covers in Extremadura (Spain) J. Lozano-Parra & J. Sánchez-Martín https://doi.org/10.3390/w16101418
3539. Pacific Ocean Forcing and Atmospheric Variability Are the Dominant Causes of Spatially Widespread Droughts in the Contiguous United States S. Baek et al. https://doi.org/10.1029/2018JD029219
3540. A framework for optimization and assessment of long-term urban stormwater management scenarios under climate change and performance challenges M. Liu et al. https://doi.org/10.1016/j.jenvman.2025.126298
3541. Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) E. Chassignet et al. https://doi.org/10.5194/gmd-13-4595-2020
3542. Future changes in seasonal sea-level variability could reshape coastal ecosystems T. Hermans et al. https://doi.org/10.1038/s41558-026-02631-y
3543. Climate tipping point interactions and cascades: a review N. Wunderling et al. https://doi.org/10.5194/esd-15-41-2024
3544. Understanding regional heterogeneity in energy systems and energy affordability: A polar paradox in Arctic Alaska T. Waite et al. https://doi.org/10.1016/j.erss.2026.104572
3545. Advancing ocean monitoring and knowledge for societal benefit: the urgency to expand Argo to OneArgo by 2030 V. Thierry et al. https://doi.org/10.3389/fmars.2025.1593904
3546. An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations Y. Zhu et al. https://doi.org/10.1007/s00382-021-05946-y
3547. Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China L. Xu et al. https://doi.org/10.1016/j.scitotenv.2023.168829
3548. Future climate and land-use change reshape watershed best management practices portfolio for nutrient control Y. Ren et al. https://doi.org/10.1016/j.jhydrol.2026.135990
3549. Calculating the Climatology and Anomalies of Surface Cloud Radiative Effect Using Cloud Property Histograms and Cloud Radiative Kernels C. Zhou et al. https://doi.org/10.1007/s00376-021-1166-z
3550. Narrowed uncertainty in future global temperature and remaining carbon budget I. Melnikova et al. https://doi.org/10.1016/j.oneear.2025.101526
3551. Doubling of surface oceanic meridional heat transport by non-symmetry of mesoscale eddies H. Wang et al. https://doi.org/10.1038/s41467-023-41294-7
3552. Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. https://doi.org/10.3389/fenvs.2022.847475
3553. Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. https://doi.org/10.1016/j.catena.2022.106082
3554. Inequality of Global Thermal Comfort Conditions Changes in a Warmer World J. Zhang et al. https://doi.org/10.1029/2022EF003109
3555. Projected impacts of ocean warming on pelagic ecosystems in the Western and Central Pacific Ocean using a multi-species size-spectrum model X. Li et al. https://doi.org/10.1016/j.marpolbul.2025.118241
3556. Anthropogenic climate change worsened recent declines in freshwater availability in India S. Tiwary & A. Mondal https://doi.org/10.1088/1748-9326/ae1624
3557. Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates Y. Pan et al. https://doi.org/10.3390/rs17081362
3558. Projected regional changes in mean and extreme precipitation over Africa in CMIP6 models V. Bobde et al. https://doi.org/10.1088/1748-9326/ad545c
3559. Future Drought Changes in China Projected by the CMIP6 Models: Contributions from Key Factors Q. Chen et al. https://doi.org/10.1007/s13351-023-2169-8
3560. An assessment of scale-dependent variability and bias in global prediction models N. Žagar et al. https://doi.org/10.1007/s00382-019-05001-x
3561. Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al. https://doi.org/10.1016/j.jhydrol.2023.129805
3562. Persistent Model Biases in the Spatial Variability of Winter North Atlantic Atmospheric Circulation Q. Tao et al. https://doi.org/10.1029/2023GL105231
3563. Two decades of Earth system modeling with an emphasis on Model for Interdisciplinary Research on Climate (MIROC) M. Kawamiya et al. https://doi.org/10.1186/s40645-020-00369-5
3564. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. https://doi.org/10.5194/gmd-15-5567-2022
3565. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. https://doi.org/10.1029/2020MS002353
3566. Emergent constraints on tropical atmospheric aridity—carbon feedbacks and the future of carbon sequestration A. Barkhordarian et al. https://doi.org/10.1088/1748-9326/ac2ce8
3567. Decadal prediction of East Asian winter monsoon with CMIP6 models: explainable predictability from the western North Pacific sea surface temperature X. Liu et al. https://doi.org/10.1088/2515-7620/ae2bcd
3568. Regions of Climatic Stability for Neotropical Primates T. Marques et al. https://doi.org/10.1111/mam.70025
3569. Estimating the Effects of Climate Fluctuations on Precipitation and Temperature in East Africa E. Dufatanye Umwali et al. https://doi.org/10.3390/atmos15121455
3570. Future changes in the extratropical storm tracks and cyclone intensity, wind speed, and structure M. Priestley & J. Catto https://doi.org/10.5194/wcd-3-337-2022
3571. Mid-summer snow-free albedo across the Arctic tundra was mostly stable or increased over the past two decades E. Plekhanova et al. https://doi.org/10.1088/1748-9326/aca5a1
3572. Future water stress in arid landscapes projected with GeoAI M. Rahman et al. https://doi.org/10.1007/s00704-025-05976-0
3573. Solar potential assessment using machine learning and climate change projections for long-term energy planning B. Reddy et al. https://doi.org/10.1038/s41598-025-23661-0
3574. Mean and extreme precipitation changes over China under SSP scenarios: results from high-resolution dynamical downscaling for CORDEX East Asia L. Zou & T. Zhou https://doi.org/10.1007/s00382-021-05947-x
3575. Emergence of a climate oscillation in the Arctic Ocean due to global warming S. Kim & S. An https://doi.org/10.1038/s41558-024-02171-3
3576. Projection of extreme temperature events in megacity Beijing C. Meng et al. https://doi.org/10.1016/j.uclim.2025.102676
3577. Plant responses to changing rainfall frequency and intensity A. Feldman et al. https://doi.org/10.1038/s43017-024-00534-0
3578. From global to regional-scale CMIP6-derived wind wave extremes: a single-GCM HighResMIP and CORDEX downscaling experiment in South-East Australia M. Lorenzo et al. https://doi.org/10.1007/s00382-024-07504-8
3579. Comparison of multimodel ensembles of global and regional climate models projections for extreme precipitation over four major river basins in southern Africa— assessment of the historical simulations S. Samuel et al. https://doi.org/10.1007/s10584-023-03530-3
3580. Modeling future streamflow under climate and land use scenarios in the lower Okavango River basin K. Negussie et al. https://doi.org/10.3389/fsrma.2026.1773448
3581. Prediction of suitable areas for Prunus serrulata Lindl. in the context of future climate change M. He et al. https://doi.org/10.1016/j.flora.2025.152827
3582. Global Teleconnections of Extreme Rainfall Events in the Yellow River Basin L. Cai et al. https://doi.org/10.1007/s00376-025-5117-y
3583. Projected changes in wet and dry extremes in the CMIP6 multi-model ensemble over the IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s44292-024-00016-4
3584. North Indian Ocean sea level rise in the past and future: The role of climate change and variability J. Jyoti et al. https://doi.org/10.1016/j.gloplacha.2023.104205
3585. Generative 3D Gaussian splatting for arbitrary-resolution atmospheric downscaling and forecasting T. Han et al. https://doi.org/10.1016/j.patcog.2026.114970
3586. CAMEMBERT: A Mini-Neptunes General Circulation Model Intercomparison, Protocol Version 1.0.A CUISINES Model Intercomparison Project D. Christie et al. https://doi.org/10.3847/PSJ/ac9dfe
3587. Foundation models in Earth system science: Advances, challenges, and future paths F. Su et al. https://doi.org/10.59717/j.tirv.2026.100014
3588. Climate change impacts on wind energy resources in North America based on the CMIP6 projections A. Martinez & G. Iglesias https://doi.org/10.1016/j.scitotenv.2021.150580
3589. Multi-scale impacts of climate change on hydropower for long-term water-energy planning in the contiguous United States D. Broman et al. https://doi.org/10.1088/1748-9326/ad6ceb
3590. Estimating Future Surface Water Availability Through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios M. Shao et al. https://doi.org/10.1029/2022WR034099
3591. Why is summertime Arctic sea ice drift speed projected to decrease? J. Ward & N. Tandon https://doi.org/10.5194/tc-18-995-2024
3592. Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling S. Razavi https://doi.org/10.1016/j.envsoft.2021.105159
3593. The Arctic has warmed nearly four times faster than the globe since 1979 M. Rantanen et al. https://doi.org/10.1038/s43247-022-00498-3
3594. Assessment of CMIP6 models' skill for tropical Indian Ocean sea surface temperature variability S. Halder et al. https://doi.org/10.1002/joc.6975
3595. Predictability of North Atlantic Sea Surface Temperature and Upper-Ocean Heat Content M. Buckley et al. https://doi.org/10.1175/JCLI-D-18-0509.1
3596. Advanced climate modeling frameworks: state-of-the-art techniques, uncertainties, and the principle of responsibility J. Chahed https://doi.org/10.1007/s40808-025-02525-6
3597. Evaluation and Projection of Temperatures Over Pakistan: Insights from the Downscaled NEX-GDDP-CMIP6 Models M. Baig et al. https://doi.org/10.1007/s41748-024-00554-2
3598. Estimating shifts in wind power density under a changing climate using bias corrected CMIP6 multi-model ensemble projections across India S. Srivastav et al. https://doi.org/10.1016/j.egycc.2026.100278
3599. Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning S. Sippel et al. https://doi.org/10.1175/JCLI-D-18-0882.1
3600. Multidecadal shifts of the northern and southern edges of the western Pacific warm pool H. Wang et al. https://doi.org/10.1088/1748-9326/ade4e0
3601. Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. https://doi.org/10.5194/gmd-17-1133-2024
3602. The Impact of Glacial Shrinkage on Future Streamflow in the Urumqi River Source Region of Eastern Tien Shan, Central Asia W. Zhao et al. https://doi.org/10.3390/rs16142546
3603. Evaluation and Projection of Northwest China's Extreme Precipitation Using Statistically Downscaled CMIP6 Models J. Zhang et al. https://doi.org/10.1002/joc.70237
3604. Can We Use 1D Models to Predict 3D Model Response to Forcing in an Idealized Framework? Y. Hwong et al. https://doi.org/10.1029/2021MS002785
3605. Spatial uncertainty in monthly rainfall projections for Peninsular Malaysia: assessment of the top-performing GCMs under worst case scenario Z. Sa’adi et al. https://doi.org/10.1088/1755-1315/1505/1/012014
3606. Clandestine travelers, a boon for south and a bane for north? Warming-induced shifts in global invasion potential of Argentine ants R. Nair et al. https://doi.org/10.1007/s10530-024-03389-0
3607. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo https://doi.org/10.1007/s41748-023-00370-0
3608. Econometric estimates of Earth’s transient climate sensitivity P. Phillips et al. https://doi.org/10.1016/j.jeconom.2019.05.002
3609. Changes in Temperature and Precipitation in Kazakhstan During XX–XXI-Centuries Based on Observational and CMIP6 Model Data D. Gushchina et al. https://doi.org/10.3390/cli14100212
3610. Greenland Ice Sheet Contribution to 21st Century Sea Level Rise as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. https://doi.org/10.1029/2019GL086836
3611. Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. https://doi.org/10.5194/bg-18-2405-2021
3612. Assessment of Climate Change Impacts on the Hydroclimatic Response in Burundi Based on CMIP6 ESMs J. Kim et al. https://doi.org/10.3390/su132112037
3613. A semi-supervised multi-sensor remote sensing pipeline for mapping irrigation dynamics in ground-truth deficient conflict zones: a case study of the Kakhovka Dam failure S. Baber et al. https://doi.org/10.3389/frsen.2026.1920951
3614. Running to warmer-drier springs in the Greater Mekong Subregion as climate warms Z. Dong et al. https://doi.org/10.1016/j.atmosres.2024.107606
3615. Montreal Protocol's impact on the ozone layer and climate T. Egorova et al. https://doi.org/10.5194/acp-23-5135-2023
3616. Zero-shot forecasting of streamflow using time series foundation models: are we there yet? A. Sun & A. Sun https://doi.org/10.1088/3049-4753/ae4982
3617. Impacts of power plant emissions on air quality amplified by renewable energy droughts L. Shen et al. https://doi.org/10.1038/s41561-026-02039-5
3618. Disentangling the Sources of Uncertainties in the Projection of Flood Risk Across the Central United States (Iowa) A. Michalek et al. https://doi.org/10.1029/2023GL105852
3619. Evaluating statistical downscaling methods for future temperature and precipitation projections in the Qilian mountains G. Liu et al. https://doi.org/10.3389/frsen.2026.1890112
3620. Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al. https://doi.org/10.5194/gmd-18-1169-2025
3621. Precipitation over southern Africa: is there consensus among global climate models (GCMs), regional climate models (RCMs) and observational data? M. Karypidou et al. https://doi.org/10.5194/gmd-15-3387-2022
3622. How does tropospheric VOC chemistry affect climate? An investigation of preindustrial control simulations using the Community Earth System Model version 2 N. Stanton & N. Tandon https://doi.org/10.5194/acp-23-9191-2023
3623. Application of bias corrected FGOALS-g3 model products for detecting changes in extreme precipitation in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.atmosres.2022.106455
3624. Performance evaluation of CMIP6 climate models for selecting a suitable GCM for future precipitation at different places of Tamil Nadu H. S & V. L https://doi.org/10.1007/s10661-023-11454-9
3625. Simulation of MJO with improved deep convection scheme in different resolutions of BCC-CSM2 models M. Zheng et al. https://doi.org/10.1007/s00382-023-07015-y
3626. 2022 early-summer heatwave in Southern South America: 60 times more likely due to climate change J. Rivera et al. https://doi.org/10.1007/s10584-023-03576-3
3627. The contribution of melt ponds to enhanced Arctic sea-ice melt during the Last Interglacial R. Diamond et al. https://doi.org/10.5194/tc-15-5099-2021
3628. A planetary boundary for green water L. Wang-Erlandsson et al. https://doi.org/10.1038/s43017-022-00287-8
3629. Urban growth prediction along Shared Socioeconomic Pathways (SSPs) for future flood exposure risk assessment: a cross-continental analysis of coastal cities F. Bachofer et al. https://doi.org/10.1007/s44218-025-00109-6
3630. Observed trend in Earth energy imbalance may provide a constraint for low climate sensitivity models G. Myhre et al. https://doi.org/10.1126/science.adt0647
3631. Interannual variability and trends of summertime PM2.5-based air quality in the Intermountain West Y. Chikamoto et al. https://doi.org/10.1088/1748-9326/acc6e0
3632. Past and future trends of diurnal temperature range and their correlation with vegetation assessed by MODIS and CMIP6 Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166727
3633. Characteristics analysis of drought at multiple spatiotemporal scale and assessment of CMIP6 performance over the Huaihe River Basin X. Li et al. https://doi.org/10.1016/j.ejrh.2022.101103
3634. Projected impacts of climate change on the spatial distribution and habitat preference of tropical tuna in the Pacific Ocean Y. Wu et al. https://doi.org/10.1016/j.marenvres.2026.107868
3635. Future projections of daily maximum and minimum temperatures over East Asia for the carbon neutrality period of 2050-2060 J. Zhang & F. Chen https://doi.org/10.1007/s00704-022-04155-9
3636. Assessing the synergic effect of land use and climate change on the upper Betwa River catchment in Central India under present, past, and future climate scenarios A. Kumar et al. https://doi.org/10.1007/s10668-022-02260-3
3637. Global future population exposure to heatwaves Y. Wang et al. https://doi.org/10.1016/j.envint.2023.108049
3638. The significant role of snow in shaping alpine treeline responses in modelled boreal forests S. Haupt et al. https://doi.org/10.5194/bg-22-6811-2025
3639. Multi-model ensemble of CMIP6 projections for future extreme climate changes in wheat production regions of China Z. Shi et al. https://doi.org/10.1007/s00382-024-07151-z
3640. Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling A. Aryal et al. https://doi.org/10.3390/forecast4030032
3641. Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature, and Humidity Feedbacks H. He et al. https://doi.org/10.1029/2020GL092309
3642. Projections of the North Atlantic warming hole can be constrained using ocean surface density as an emergent constraint I. Park & S. Yeh https://doi.org/10.1038/s43247-024-01269-y
3643. Winter Arctic polynyas in CMIP6 models C. Heuzé et al. https://doi.org/10.5194/tc-20-3643-2026
3644. Modeling of land use change under the recent climate projections of CMIP6: a case study of Indian river basin N. Kumar et al. https://doi.org/10.1007/s11356-023-26960-z
3645. Rising disparities in grain self-sufficiency across China: Provincial divergence amidst overall national improvement X. Yu et al. https://doi.org/10.1016/j.eiar.2025.107942
3646. Varying contributions of fast and slow responses cause asymmetric tropical rainfall change between CO2 ramp-up and ramp-down S. Zhou et al. https://doi.org/10.1016/j.scib.2022.07.010
3647. Projected changes in ultraviolet index and UV doses over the twenty-first century: impacts of ozone and aerosols from CMIP6 A. Yamamoto et al. https://doi.org/10.1007/s43630-024-00594-7
3648. Increasing risk of vapor pressure deficit exceeding critical thresholds for tree growth T. Li et al. https://doi.org/10.1073/pnas.2530363123
3649. Using climate models in climate assessments: a Bayesian perspective K. Marvel et al. https://doi.org/10.3389/fclim.2026.1839130
3650. Impacts of Climate Change on Offshore Wind Power Density in Brazil Under Different Warming Scenarios J. dos Reis et al. https://doi.org/10.1007/s41748-026-01289-y
3651. Elevation dependency of future degradation of permafrost over the Qinghai-Tibet Plateau G. Zhang et al. https://doi.org/10.1088/1748-9326/ace0d1
3652. A robust unsupervised method for outlier set detection A. Sarfraz et al. https://doi.org/10.1016/j.knosys.2025.114274
3653. Effectiveness of using representative subsets of global climate models in future crop yield projections B. Qian et al. https://doi.org/10.1038/s41598-021-99378-7
3654. CMIP6 GCM ensemble members versus global surface temperatures N. Scafetta https://doi.org/10.1007/s00382-022-06493-w
3655. Future perspectives for wind and solar electricity production under high-resolution climate change scenarios M. Russo et al. https://doi.org/10.1016/j.jclepro.2023.136997
3656. Intensifying hydroclimatic extremes and drought dynamics in Ramganga Basin (India): insights from CMIP6 SSP370 ensemble analysis N. Rajouria et al. https://doi.org/10.1007/s12665-025-12580-y
3657. Optimisation of ICON-CLM for the EURO-CORDEX domain: developments, sensitivities, tuning B. Geyer et al. https://doi.org/10.5194/gmd-19-5439-2026
3658. MESMER v1.0.0: consolidating the modular Earth system model emulator into a sustainable research software package V. Bauer et al. https://doi.org/10.5194/gmd-19-5669-2026
3659. Causal influences of El Niño–Southern Oscillation on global dust activities T. Le & D. Bae https://doi.org/10.5194/acp-22-5253-2022
3660. Climate change impact on rain-fed agriculture of Northern Mexico. An analysis based on the CanESM5 model A. Ríos-Romero et al. https://doi.org/10.1007/s40808-024-01959-8
3661. Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under climate change and internal system failure conditions S. Mugume & L. Nakyanzi https://doi.org/10.2166/bgs.2024.030
3662. The extremely warm summer of 2018 in Sweden – set in a historical context R. Wilcke et al. https://doi.org/10.5194/esd-11-1107-2020
3663. Evaluation of the performance of CMIP5 and CMIP6 models in simulating the South Pacific Quadrupole–ENSO relationship Z. Wang et al. https://doi.org/10.1016/j.aosl.2021.100057
3664. Hydrodynamic Changes in the Gulf of California Under Different Climate Change Scenarios: 2015–2100 M. Romero-Robles & D. Salas-de-León https://doi.org/10.3390/cli14040079
3665. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster https://doi.org/10.1029/2021GL094948
3666. Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0 L. Ramme et al. https://doi.org/10.5194/gmd-18-10017-2025
3667. Implementation of the ORACLE (v1.0) organic aerosol composition and evolution module into the EC-Earth3-AerChem model S. Kakavas et al. https://doi.org/10.5194/gmd-19-4271-2026
3668. Contrasting Transition Complexity Between El Niño and La Niña: Observations and CMIP5/6 Models S. Fang & J. Yu https://doi.org/10.1029/2020GL088926
3669. Modeling climate change impacts on streamflow dynamics in the Melka Wakana catchment, Ethiopia T. Geresu et al. https://doi.org/10.2166/wcc.2026.251
3670. Polar dimming and mid-latitude brightening in a warming climate S. Liu et al. https://doi.org/10.1093/nsr/nwag330
3671. Rapid Evaluation Framework for the CMIP7 Assessment Fast Track F. Hoffman et al. https://doi.org/10.5194/gmd-19-7415-2026
3672. Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer https://doi.org/10.1038/s41467-023-36794-5
3673. Seasonal and regional jet stream changes and drivers P. Breul et al. https://doi.org/10.1038/s43017-025-00749-9
3674. Ocean-forcing of cool season precipitation drives ongoing and future decadal drought in southwestern North America R. Seager et al. https://doi.org/10.1038/s41612-023-00461-9
3675. Comparisons of statistical downscaling methods for air temperature over the Qilian Mountains H. Jin et al. https://doi.org/10.1007/s00704-022-04081-w
3676. Precipitation extremes projected to increase and to occur in different times of the year D. Treppiedi et al. https://doi.org/10.1088/1748-9326/ad984f
3677. Limitations of the 1 % experiment as the benchmark idealized experiment for carbon cycle intercomparison in C4MIP A. MacDougall https://doi.org/10.5194/gmd-12-597-2019
3678. Prediction of the future landslide susceptibility scenario based on LULC and climate projections A. Tyagi et al. https://doi.org/10.1007/s10346-023-02088-6
3679. Efficient photovoltaic power prediction to achieve carbon neutrality in China J. Gao et al. https://doi.org/10.1016/j.enconman.2025.119653
3680. The presence of clouds lowers climate sensitivity in the MPI-ESM1.2 climate model A. Mosso et al. https://doi.org/10.5194/acp-24-12793-2024
3681. Research Advances in Projections of Regional Climate Change over China B. Zhou et al. https://doi.org/10.1007/s13351-025-4913-8
3682. Mathematical Modeling and Intensive Simulations Assess Chances for Recovery of the Collapsed Azov Pikeperch Population Y. Tyutyunov & I. Senina https://doi.org/10.3390/math13193232
3683. Role of SST in Seasonal Western North Pacific Anomalous Anticyclone: Insights From AMIP Simulations in CMIP6 S. Wu et al. https://doi.org/10.1029/2023GL107080
3684. Performance evaluation and ranking of CMIP6 global climate models over Vietnam T. Nguyen-Duy et al. https://doi.org/10.2166/wcc.2023.454
3685. Modeling of Intraday Fluctuations in Future Climate Parameters and Their Impact on Perovskite Solar Modules, from a Sustainable Development Perspective W. Latchiba et al. https://doi.org/10.4236/jpee.2026.146004
3686. Towards an improved understanding of the impact of clouds and precipitation on the representation of aerosols over the Boreal Forest in GCMs S. Talvinen et al. https://doi.org/10.5194/acp-25-14449-2025
3687. Effects of systematic predictor selection for statistical downscaling of rainfall in Hawai'i K. Sanfilippo et al. https://doi.org/10.1002/joc.8345
3688. Prospective Evolution of Meteorological Drought in the Haihe River Basin and Its Connection With Large‐Scale Atmospheric Circulations Using CMIP6 Multimodel Ensemble H. Jin et al. https://doi.org/10.1029/2023JD038954
3689. Projected poleward migration of the Southern Ocean CO2 sink region under high emissions P. Mongwe et al. https://doi.org/10.1038/s43247-024-01382-y
3690. Physical inconsistencies in the representation of the ocean heat-carbon nexus in simple climate models R. Séférian et al. https://doi.org/10.1038/s43247-024-01464-x
3691. Downscaling and Wind Resource Assessment of Climatic Wind Speed Data Based on Deep Learning: A Case Study of the Tengger Desert Wind Farm H. Zhou et al. https://doi.org/10.3390/atmos15030271
3692. The capability of CMIP6 models on seasonal precipitation extremes over Central Asia Z. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106364
3693. Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. https://doi.org/10.5194/gmd-13-1179-2020
3694. Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 D. Lafferty & R. Sriver https://doi.org/10.1038/s41612-023-00486-0
3695. Sketching the spatial disparities in heatwave trends by changing atmospheric teleconnections in the Northern Hemisphere F. Cai et al. https://doi.org/10.1038/s41467-024-52254-0
3696. Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki https://doi.org/10.1029/2022JD036826
3697. Future Atlantification of the European Arctic limited under sustained global warming F. De Rovere et al. https://doi.org/10.1038/s41598-025-16161-8
3698. A three-layer parameterization framework for ENSO-runoff coupling: Enhanced flood risk in the Huaihe River Basin under climate change X. Meng et al. https://doi.org/10.1016/j.ejrh.2026.103562
3699. Irreversible loss in marine ecosystem habitability after a temperature overshoot Y. Santana-Falcón et al. https://doi.org/10.1038/s43247-023-01002-1
3700. Limited global effect of climate-Greenland ice sheet coupling in NorESM2 under a high-emission scenario K. Haubner et al. https://doi.org/10.5194/esd-17-57-2026
3701. Skillful decadal prediction of unforced southern European summer temperature variations L. Borchert et al. https://doi.org/10.1088/1748-9326/ac20f5
3702. A short note on the use of daily climate data to calculate Humidex heat‐stress indices E. Diaconescu et al. https://doi.org/10.1002/joc.7833
3703. Impact of climate change on the habitat range of monarch butterfly (Danaus plexippus) S. Ragab et al. https://doi.org/10.1038/s41598-025-17443-x
3704. A vegetação nativa do Cerrado é um refúgio para as aves na trajetória atual da mudança climática J. Hidasi‐Neto et al. https://doi.org/10.1111/aec.13336
3705. Unusually weak signal of summer surface air temperature change over North China F. Cheng et al. https://doi.org/10.1002/joc.8413
3706. Projected warming patterns across the Canadian prairies under CMIP6 scenarios: Terrain-informed bias-corrected temperature projections using machine learning Z. Noorisameleh & D. Sauchyn https://doi.org/10.1016/j.teadva.2026.200158
3707. Weather Index Insurance Can Offset Heat‐Induced Rice Losses Under Global Warming J. Zhang et al. https://doi.org/10.1029/2021EF002534
3708. Projected changes in early summer ridging and drought over the Central Plains B. Cook et al. https://doi.org/10.1088/1748-9326/ac8e1a
3709. An ESMValTool-based framework for sanity checks, physical consistency and climate fidelity during model development – ICONEval v1.0 A. Lauer et al. https://doi.org/10.5194/gmd-19-8731-2026
3710. Projection of future climate change and precipitation extremes over the Canadian Lake Erie and Lake Ontario basins under global warming Y. Liu et al. https://doi.org/10.3389/frwa.2026.1774999
3711. A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. https://doi.org/10.1038/s41597-024-03948-z
3712. Climate Change Impacts on Agroforestry Suitability in the Amazon: CMIP6-Based Projections for Theobroma grandiflorum W. Corrêa et al. https://doi.org/10.3390/cli14080168
3713. Wind resource evolution in Europe under different scenarios of climate change characterised by the novel Shared Socioeconomic Pathways A. Martinez & G. Iglesias https://doi.org/10.1016/j.enconman.2021.113961
3714. A deep-learning real-time bias correction method for significant wave height forecasts in the Western North Pacific W. Zhang et al. https://doi.org/10.1016/j.ocemod.2023.102289
3715. Evolution of Drought Trends under Climate Change Scenarios in Karst Basin C. Mo et al. https://doi.org/10.3390/w15101934
3716. Antarctic sea-ice expansion and Southern Ocean cooling linked to tropical variability E. Chung et al. https://doi.org/10.1038/s41558-022-01339-z
3717. QBO Phase Synchronization in CMIP6 Historical Simulations Attributed to Ozone Forcing N. Butchart et al. https://doi.org/10.1029/2023GL104401
3718. Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. https://doi.org/10.1525/elementa.265
3719. Population exposure to compound extreme events in India under different emission and population scenarios J. Das et al. https://doi.org/10.1016/j.scitotenv.2021.150424
3720. Heterogeneous effects of climate change on displacement-inducing disasters R. Beyer et al. https://doi.org/10.3389/fclim.2024.1260028
3721. Spatiotemporal variability of future water sustainability using reliability resilience vulnerability framework Z. Hammad & E. Chung https://doi.org/10.1007/s00704-024-04949-z
3722. Southern Ocean heat buffer constrained by present-day ENSO teleconnection G. Wang et al. https://doi.org/10.1038/s41612-024-00731-0
3723. Coordinating an operational data distribution network for CMIP6 data R. Petrie et al. https://doi.org/10.5194/gmd-14-629-2021
3724. Analysis of heatwave characteristics under climate change over three highly populated cities of South India: a CMIP6-based assessment S. Nandi & S. Swain https://doi.org/10.1007/s11356-022-22398-x
3725. The Warm Arctic—Cold Eurasia Pattern and Its Key Region in Winter in CMIP6 Model Simulations L. Zhao et al. https://doi.org/10.1007/s00376-022-2201-4
3726. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. https://doi.org/10.5194/gmd-15-6115-2022
3727. Climate-driven warming, deoxygenation, and desertification in large marine ecosystems R. Venegas et al. https://doi.org/10.1016/j.jmarsys.2025.104053
3728. Climate-change-informed resilience evolution of underground pipeline systems G. Qin et al. https://doi.org/10.1016/j.ress.2026.113278
3729. Uncertainty of ENSO-amplitude projections in CMIP5 and CMIP6 models G. Beobide-Arsuaga et al. https://doi.org/10.1007/s00382-021-05673-4
3730. The Impacts of Aerosol Emissions on Historical Climate in UKESM1 J. Seo et al. https://doi.org/10.3390/atmos11101095
3731. A strengthening yet less extreme Atlantic–European jet during winter S. Brönnimann et al. https://doi.org/10.1038/s41561-026-02069-z
3732. Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing E. Liao et al. https://doi.org/10.1029/2021GL094021
3733. Deep‐learning‐based harmonization and super‐resolution of near‐surface air temperature from CMIP6 models (1850–2100) X. Wei et al. https://doi.org/10.1002/joc.7926
3734. Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 X. Jiang et al. https://doi.org/10.1038/s41597-023-02151-w
3735. Cloud Overlap Features from Multi-Year Cloud Radar Observations at the SACOL Site and Comparison with Satellites X. Yang et al. https://doi.org/10.3390/rs16020218
3736. Climate change impacts on human health in Portugal based on downscaled CMIP6 future climate scenarios: an analysis using thermal comfort indices M. Teixeira et al. https://doi.org/10.1088/2752-5295/ae4b5e
3737. Projected climate extremes and compound hydro-meteorological stressors across India based on CMIP6 multi-model ensembles M. Singh et al. https://doi.org/10.1007/s00704-026-06415-4
3738. Growth phenology adjusts to seasonal changes in water availability in coexisting evergreen and deciduous mediterranean oaks F. Campelo et al. https://doi.org/10.1016/j.fecs.2023.100134
3739. Decomposition of Fast and Slow Cloud Responses to Quadrupled CO2 Forcing in BCC-AGCM2.0 over East Asia X. Zhou et al. https://doi.org/10.1007/s00376-022-1441-7
3740. Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure precursor Y. Tao et al. https://doi.org/10.1088/1748-9326/ad7522
3741. Substrate Carbon Controls Regional Divergence of Wetland Biofilm Carbon Sinks under Climate Warming K. Wang et al. https://doi.org/10.1021/acs.est.6c03534
3742. Predicting the potential distribution of three invasive insect pests (Tuta absoluta, Aleurodicus rugioperculatus and Phenacoccus manihoti) under future climate scenarios in India based on CMIP6 projections G. Govindharaj et al. https://doi.org/10.1007/s00704-024-05315-9
3743. Higher emissions scenarios lead to more extreme flooding in the United States H. Kim & G. Villarini https://doi.org/10.1038/s41467-023-44415-4
3744. Change in future climate due to Antarctic meltwater B. Bronselaer et al. https://doi.org/10.1038/s41586-018-0712-z
3745. Integrated spatio-temporal and environmental modelling of water scarcity in Saudi Arabia using shared socioeconomic pathways A. Likun et al. https://doi.org/10.1016/j.envc.2025.101151
3746. Historical to future warm–dry to warm–wet transition over Mongolia and its permafrost regions (1850–2100) X. MA et al. https://doi.org/10.1016/j.accre.2026.09.014
3747. Climate change projections from Coupled Model Intercomparison Project phase 5 multi‐model weighted ensembles for Mexico, the North American monsoon, and the mid‐summer drought region G. Colorado‐Ruiz et al. https://doi.org/10.1002/joc.5773
3748. Study on the concept and framework of synergy between mitigation and adaptation H. Yan et al. https://doi.org/10.1016/j.accre.2025.11.002
3749. Ensemble Bayesian Model Averaging Projections of Wind‐Speed Extremes for Wind Energy Applications Over China Under Climate Change X. Zhao et al. https://doi.org/10.1029/2023JD038806
3750. Addressing Long-Term Operational Risk Management in Port Docks under Climate Change Scenarios—A Spanish Case Study Á. Campos et al. https://doi.org/10.3390/w11102153
3751. Carbon neutrality timing controls future tropical cyclone intensity and precipitation over the western North Pacific M. Lee et al. https://doi.org/10.1038/s43247-026-03317-1
3752. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error A. Jones et al. https://doi.org/10.1002/2017GL075933
3753. Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: Role of the Ice Sheet Surface P. Alexander et al. https://doi.org/10.1029/2018JF004772
3754. Flammable futures—storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia S. Corning et al. https://doi.org/10.1088/1748-9326/ad7bcc
3755. Regional Perspective of Hadley Circulation and Its Uncertainties among Different Datasets: Biases of ENSO-Related Hadley Circulation in CMIP Models W. Wang et al. https://doi.org/10.1007/s00376-025-4459-9
3756. Understanding CMIP6 biases in the representation of the Greater Horn of Africa long and short rains K. Schwarzwald et al. https://doi.org/10.1007/s00382-022-06622-5
3757. Escalating wildfire risks in Brazilian biomes under climate change scenarios G. Torsoni et al. https://doi.org/10.1007/s11069-026-08176-9
3758. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng https://doi.org/10.1007/s40641-024-00194-8
3759. Evaluation of annual trends in carbon cycle variables simulated by CMIP6 Earth system models in China Z. Li et al. https://doi.org/10.5194/gmd-18-8703-2025
3760. The role of sea ice in present and future Arctic amplification E. Chung et al. https://doi.org/10.1038/s43247-025-02834-9
3761. Role of natural halogen chemistry on the evolution of global stratospheric ozone depletion J. Villamayor et al. https://doi.org/10.1038/s41467-026-76600-6
3762. Spatio-Temporal Analysis of Changes in the Iranian Summer Subtropical High-Pressure System from a Climate Change Perspective M. Fatahian et al. https://doi.org/10.3390/atmos16030273
3763. Anthropogenic influences on 2022-like summer heatwaves over the Yangtze River valley and projected changes in the likelihood of the event M. Zhang et al. https://doi.org/10.1088/2515-7620/ae2a98
3764. Enhanced jet stream waviness induced by suppressed tropical Pacific convection during boreal summer X. Sun et al. https://doi.org/10.1038/s41467-022-28911-7
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3766. THE DYNAMICS OF RESIDENTIAL SORTING AND HEALTH: IMPLICATIONS OF CLIMATE CHANGE IN THE UNITED STATES S. Mathes https://doi.org/10.1111/iere.12739
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3768. Arctic Amplification of marine heatwaves under global warming Y. He et al. https://doi.org/10.1038/s41467-024-52760-1
3769. Modelling Distributions of Asian and African Rice Based on MaxEnt Y. Lin et al. https://doi.org/10.3390/su15032765
3770. Carbon cycle feedbacks in an idealized simulation and a scenario simulation of negative emissions in CMIP6 Earth system models A. Asaadi et al. https://doi.org/10.5194/bg-21-411-2024
3771. Including Host Availability and Climate Change Impacts on the Global Risk Area of Carpomya pardalina (Diptera: Tephritidae) Y. Qin et al. https://doi.org/10.3389/fevo.2021.724441
3772. Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks T. Mulder et al. https://doi.org/10.1029/2023MS003631
3773. Asymmetric impacts of Arctic sea ice anomalies on El Niño-Southern Oscillation S. Chen et al. https://doi.org/10.1038/s41612-025-01168-9
3774. ENSO teleconnections and atmospheric mean state in idealised simulations E. Di Carlo et al. https://doi.org/10.1007/s00382-022-06261-w
3775. Atmosphere-driven processes in shaping long-term climate variability in Greenland and the broader subpolar North Atlantic Z. Li et al. https://doi.org/10.1007/s00382-025-07852-z
3776. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. https://doi.org/10.5194/essd-13-4385-2021
3777. Simulating the impact of climate change on the suitable area for cotton in Xinjiang based on SDMs model H. Zhang et al. https://doi.org/10.1016/j.indcrop.2025.120750
3778. Shifting streamflow patterns in the Upper Jhelum Basin, Western Himalaya: implications for water availability under changing climate A. Bhat et al. https://doi.org/10.1080/02626667.2026.2708956
3779. CMIP5 Scientific Gaps and Recommendations for CMIP6 R. Stouffer et al. https://doi.org/10.1175/BAMS-D-15-00013.1
3780. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. https://doi.org/10.5194/acp-23-8749-2023
3781. The past, current and future habitat range of the Spider-tailed Viper, Pseudocerastes urarachnoides (Serpentes: Viperidae) in western Iran and eastern Iraq as revealed by habitat modelling B. Fathinia et al. https://doi.org/10.1080/09397140.2020.1757910
3782. Do climate and land use change significantly affect the level of sediment connectivity at different spatiotemporal scales? S. Liu et al. https://doi.org/10.1002/esp.70185
3783. How climate models reproduce the observed increase in extreme precipitation over Europe B. Steensen et al. https://doi.org/10.1371/journal.pclm.0000442
3784. Combined Impacts of the Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation on Summer Precipitation in Eastern China During the Medieval Climate Anomaly and Little Ice Age Y. Ge et al. https://doi.org/10.1029/2023JD038920
3785. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation V. Eyring et al. https://doi.org/10.1038/s41561-024-01527-w
3786. Agreement and Uncertainty Among Climate Change Impact Models: A Synthesis of Sagebrush Steppe Vegetation Projections S. Zimmer et al. https://doi.org/10.1016/j.rama.2020.12.006
3787. Land surface model underperformance tied to specific meteorological conditions J. Cranko Page et al. https://doi.org/10.5194/bg-23-263-2026
3788. North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. https://doi.org/10.1073/pnas.2414241121
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3790. Ninetine spiders in Brazilian Caatinga and Cerrado: revision of Kambiwa and description of Sertana gen. nov. (Araneae, Pholcidae), with analyses of predicted range shifts due to climate change B. Huber et al. https://doi.org/10.5852/ejt.2026.1054.3276
3791. Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China G. Wang et al. https://doi.org/10.3390/tropicalmed7120431
3792. Temperature extremes Projections over Bangladesh from CMIP6 Multi-model Ensemble M. Akter et al. https://doi.org/10.1007/s00704-024-05173-5
3793. Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench S. Rasp & N. Thuerey https://doi.org/10.1029/2020MS002405
3794. Nonlinear plant–plant interactions modulate impact of extreme drought and recovery on a Mediterranean ecosystem S. Haberstroh et al. https://doi.org/10.1111/nph.17522
3795. Interplay between climate change and climate variability: the 2022 drought in Central South America P. Arias et al. https://doi.org/10.1007/s10584-023-03664-4
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3798. Doing better rather than promising more: A basic principle applicable to both climate modelling and climate policies H. Douville & J. Añel https://doi.org/10.1371/journal.pclm.0000466
3799. Indo-Pacific warm pool present warming attribution and future projection constraint W. Bai et al. https://doi.org/10.1088/1748-9326/ac5edf
3800. Hysteretic temperature sensitivity of wetland CH4 fluxes explained by substrate availability and microbial activity K. Chang et al. https://doi.org/10.5194/bg-17-5849-2020
3801. Teleconnections link to summer heat extremes in the south-central U.S.: Insights from CMIP5 and CMIP6 simulations J. Ryu & S. Kang https://doi.org/10.1016/j.wace.2023.100635
3802. Amplification of compound hot-dry extremes and associated population exposure over East Africa B. Ayugi et al. https://doi.org/10.1007/s10584-024-03802-6
3803. Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections H. Goelzer et al. https://doi.org/10.5194/tc-14-1747-2020
3804. Fingerprinting Heatwaves and Cold Spells and Assessing Their Response to Climate Change Using Large Deviation Theory V. Galfi & V. Lucarini https://doi.org/10.1103/PhysRevLett.127.058701
3805. Simulated contribution of the interdecadal Pacific oscillation to the west Eurasia cooling in 1998–2013 L. Suo et al. https://doi.org/10.1088/1748-9326/ac88e5
3806. An integrated sequential deep learning framework with experience replay for large-scale species distribution modeling under data scarcity F. Santos et al. https://doi.org/10.3389/fevo.2026.1904087
3807. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. https://doi.org/10.1029/2020JD033483
3808. Stratospheric aerosol injection does not cause stronger Asian monsoon drying than greenhouse gas mitigation C. He et al. https://doi.org/10.1088/1748-9326/ae2282
3809. Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China X. Yao et al. https://doi.org/10.1016/j.oneear.2024.09.016
3810. Seamless seasonal to multi-annual predictions of temperature and Standardized Precipitation Index by constraining transient climate model simulations J. Acosta Navarro et al. https://doi.org/10.5194/esd-16-1723-2025
3811. Evaluation of Long‐Term Temperature Trend and Variability in CMIP6 Multimodel Ensemble Y. Duan et al. https://doi.org/10.1029/2021GL093227
3812. Integrating deep learning into future hydrological modeling under climate change scenarios in an arid region M. Nikoo https://doi.org/10.1016/j.jaridenv.2026.105577
3813. MESMER-M: an Earth system model emulator for spatially resolved monthly temperature S. Nath et al. https://doi.org/10.5194/esd-13-851-2022
3814. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. https://doi.org/10.5194/gmd-11-5027-2018
3815. Storylines of Maritime Continent dry period precipitation changes under global warming R. Ghosh & T. Shepherd https://doi.org/10.1088/1748-9326/acb788
3816. Decision making for transformative change: exploring model use, structural uncertainty and deep leverage points for change in decision making under deep uncertainty S. Few et al. https://doi.org/10.3389/fclim.2023.1129378
3817. Modelling wildfire and post-fire carbon budgets of a boreal forest under a changing climate M. Islam et al. https://doi.org/10.1016/j.gloplacha.2025.105230
3818. Description of the resolution hierarchy of the global coupled HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments M. Roberts et al. https://doi.org/10.5194/gmd-12-4999-2019
3819. A generalized methodology for ranking climate models based on climate indices for sector-specific studies: An application to the Mekong sub-basin T. Baghel et al. https://doi.org/10.1016/j.scitotenv.2022.154551
3820. Future changes in mean and extreme precipitation over the Mediterranean and Sahara regions using bias‐corrected CMIP6 models H. Babaousmail et al. https://doi.org/10.1002/joc.7644
3821. Steps Toward Modelling the Past and Future North Sea Ecosystem With a Focus on Light Climate D. Thewes et al. https://doi.org/10.3389/fmars.2022.818383
3822. Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6 S. Karmouche et al. https://doi.org/10.5194/esd-14-309-2023
3823. Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the Eastern Shore of Virginia, United States T. Tran & V. Lakshmi https://doi.org/10.1016/j.scitotenv.2024.174289
3824. Depiction of Drought Over Africa in the Light of Changing Climate from CMIP6 Models I. Yahaya et al. https://doi.org/10.1007/s41748-024-00502-0
3825. Past and future change in global river flows L. Gudmundsson et al. https://doi.org/10.1038/s43017-025-00745-z
3826. Climate and stratospheric ozone during the mid-Holocene and Last Interglacial simulated by MRI-ESM2.0 Y. Watanabe et al. https://doi.org/10.5194/cp-21-2243-2025
3827. Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin M. Shafeeque et al. https://doi.org/10.1007/s00704-023-04621-y
3828. Impacts of natural and anthropogenic forcings on historical and future changes in global-land surface air temperature in CMIP6–DAMIP simulations C. Xu et al. https://doi.org/10.1007/s10584-024-03686-6
3829. Model and proxy evidence for coordinated changes in the hydroclimate of distant regions over the Last Millennium P. Roldán-Gómez et al. https://doi.org/10.5194/cp-19-2361-2023
3830. Characterizing Catchment‐Scale Nitrogen Legacies and Constraining Their Uncertainties F. Sarrazin et al. https://doi.org/10.1029/2021WR031587
3831. How well CMIP6 models simulate key boundary conditions affecting South American climate? Insights for regional modeling efforts P. Arias et al. https://doi.org/10.1007/s00382-025-07704-w
3832. From North/Central America to the World? Assessing the potential of Pycnoderes quadrimaculatusGuerin‐Meneville (Heteroptera: Miridae) as a pest through Ecological Niche Models E. Minghetti et al. https://doi.org/10.1002/ps.7525
3833. Alternate Histories: Synthetic Large Ensembles of Sea‐Air CO2 Flux H. Olivarez et al. https://doi.org/10.1029/2021GB007174
3834. The effect of surface sink saturation and emission altitude on hydrogen's atmospheric impact E. Gibney et al. https://doi.org/10.1039/D5EA00139K
3835. A strong constraint on radiative forcing of well-mixed greenhouse gases J. Feng et al. https://doi.org/10.1038/s41586-026-10289-x
3836. Lake Ice Will Be Less Safe for Recreation and Transportation Under Future Warming R. Woolway et al. https://doi.org/10.1029/2022EF002907
3837. Multivariate bias correction and downscaling of climate models with trend-preserving deep learning F. Wang & D. Tian https://doi.org/10.1007/s00382-024-07406-9
3838. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. https://doi.org/10.1002/joc.7566
3839. Granger causal inference for climate change attribution M. Risser et al. https://doi.org/10.1088/2752-5295/add046
3840. Cenozoic stable isotope constraints on the Eurasian continental interior hydroclimate response to high CO2 E. Driscoll et al. https://doi.org/10.1016/j.epsl.2024.118623
3841. Future changes in rainy seasons in the Upper Blue Nile Basin: Impacts on agriculture and water resources F. Enyew et al. https://doi.org/10.1016/j.nhres.2025.06.002
3842. Optimizing climate model selection in regional studies using an adaptive weather type based framework: a case study for extreme heat in Belgium F. Serras et al. https://doi.org/10.1007/s00382-024-07432-7
3843. Modelling Climatically Suitable Areas for Mahogany (Swietenia macrophylla King) and Their Shifts across Neotropics: The Role of Protected Areas R. Herrera-Feijoo et al. https://doi.org/10.3390/f14020385
3844. Modelling considerations for research on ocean alkalinity enhancement (OAE) K. Fennel et al. https://doi.org/10.5194/sp-2-oae2023-9-2023
3845. Where are the coexisting parallel climates? Large ensemble climate projections from the point of view of chaos theory M. Herein et al. https://doi.org/10.1063/5.0136719
3846. Assessment of the Applicability of CMIP6 Global Climate Models for Predicting Climate Change and Natural Hazard Frequency in the Magadan Oblast A. Shikhov et al. https://doi.org/10.3103/S1068373926010024
3847. Multi-centennial Holocene climate variability in proxy records and transient model simulations T. Askjær et al. https://doi.org/10.1016/j.quascirev.2022.107801
3848. Evaluation of Climate in CMIP6 Models over Two Third Pole Subregions with Contrasting Circulation Systems Y. Li et al. https://doi.org/10.1175/JCLI-D-21-0214.1
3849. Land Surface Processes Create Patterns in Atmospheric Residence Time of Water O. Tuinenburg & R. van der Ent https://doi.org/10.1029/2018JD028871
3850. Accelerated warming of High Mountain Asia predicted at multiple years ahead S. Hu et al. https://doi.org/10.1016/j.scib.2024.09.023
3851. Seasonal to Decadal Predictions With MIROC6: Description and Basic Evaluation T. Kataoka et al. https://doi.org/10.1029/2019MS002035
3852. Future projections of surface dust concentrations in major dust source regions of the Mesopotamian plains A. Abadi et al. https://doi.org/10.1016/j.atmosres.2026.109282
3853. On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models M. Norgate et al. https://doi.org/10.1002/joc.8367
3854. Evolution of lagoon formation and desiccation along the southeast Caspian coast: A historical and modern perspective H. Lahijani et al. https://doi.org/10.1002/jqs.70058
3855. Comparisons between CMIP5 and CMIP6 models in simulations of the climatology and interannual variability of the east asian summer Monsoon T. Yu et al. https://doi.org/10.1007/s00382-022-06408-9
3856. Integrated assessment model diagnostics: key indicators and model evolution M. Harmsen et al. https://doi.org/10.1088/1748-9326/abf964
3857. Origins of the Excessive Westward Extension of ENSO SST Simulated in CMIP5 and CMIP6 Models W. Jiang et al. https://doi.org/10.1175/JCLI-D-20-0551.1
3858. Streamflow Variation under Climate Conditions Based on a Soil and Water Assessment Tool Model: A Case Study of the Bailong River Basin S. Li et al. https://doi.org/10.3390/su16103901
3859. Differentiated Cloud-Radiation Characteristics over East Asian Subtropical and Tropical Regions Revealed by CMIP6 Models R. WU et al. https://doi.org/10.3724/j.1006-8775.2024.046
3860. Effective resolution in high resolution global atmospheric models for climate studies R. Klaver et al. https://doi.org/10.1002/asl.952
3861. The methodological framework for DRIP: Drought representation index for CMIP model performance L. Almeida et al. https://doi.org/10.1016/j.mex.2025.103249
3862. The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al. https://doi.org/10.5194/gmd-18-9385-2025
3863. Projection of droughts in Amu river basin for shared socioeconomic pathways CMIP6 O. Salehie et al. https://doi.org/10.1007/s00704-022-04097-2
3864. Prediction of Potential Suitable Distribution of Liriodendron chinense (Hemsl.) Sarg. in China Based on Future Climate Change Using the Optimized MaxEnt Model J. Bai et al. https://doi.org/10.3390/f15060988
3865. Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions T. Kim et al. https://doi.org/10.1038/s41597-025-05366-1
3866. Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire Y. Yu et al. https://doi.org/10.1038/s41467-022-28853-0
3867. Assessing the improvement potentials of climate model partitioning and time-variant feature extraction for soil organic carbon prediction Y. Bao et al. https://doi.org/10.1016/j.catena.2024.108014
3868. Climate change drives spatiotemporal mismatches between bivalves and mangrove in the Colombian Pacific coast J. Josephraj Selvaraj & C. Victoriano Portilla-Cabrera https://doi.org/10.1016/j.jnc.2024.126679
3869. Characterization of the future northeast monsoon rainfall based on the clustered climate zone under CMIP6 in Peninsular Malaysia Z. Sa'adi et al. https://doi.org/10.1016/j.atmosres.2024.107407
3870. High time- and spatial-resolution climate scenarios of the DISTENDER project according to statistical and dynamical downscaling R. Monjo et al. https://doi.org/10.1016/j.cliser.2025.100623
3871. Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming H. Zhu et al. https://doi.org/10.1007/s13753-026-00702-4
3872. Influence of Ozone Forcing on 21st Century Southern Hemisphere Surface Westerlies in CMIP6 Models L. Revell et al. https://doi.org/10.1029/2022GL098252
3873. Continued Warming of the Permafrost Regions Over the Northern Hemisphere Under Future Climate Change G. Hu et al. https://doi.org/10.1029/2022EF002835
3874. Assessment of CMIP6 in simulating precipitation over arid Central Asia H. Guo et al. https://doi.org/10.1016/j.atmosres.2021.105451
3875. Impact of warming on rainfall changes in damaging Philippine typhoons using high-resolution convection-permitting models R. Delfino et al. https://doi.org/10.5194/nhess-26-3579-2026
3876. Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming W. Liu et al. https://doi.org/10.1038/s41558-022-01320-w
3877. Spatiotemporal Evolution and Future Scenario Projections of Ozone in Harbin Based on XGBoost-CMIP6 Coupling 思. 李 https://doi.org/10.12677/ojns.2026.145076
3878. Sahel Rainfall Projections Constrained by Past Sensitivity to Global Warming J. Schewe & A. Levermann https://doi.org/10.1029/2022GL098286
3879. Transient and Quasi‐Equilibrium Climate States at 1.5°C and 2°C Global Warming A. King et al. https://doi.org/10.1029/2021EF002274
3880. Climate change effects on the spatial and temporal distribution of extreme precipitation in the Mid-Atlantic region M. Mirzaei et al. https://doi.org/10.1016/j.uclim.2025.102382
3881. Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
3882. Projected ENSO Teleconnection Changes in CMIP6 S. McGregor et al. https://doi.org/10.1029/2021GL097511
3883. Comparison of Short‐Term Cloud Feedbacks at Top of the Atmosphere and the Surface in Observations and AMIP6 Models X. Wang et al. https://doi.org/10.1029/2023JD039936
3884. Probabilistic Evaluation of Drought in CMIP6 Simulations S. Papalexiou et al. https://doi.org/10.1029/2021EF002150
3885. How reliable are Coupled Model Intercomparison Project Phase 6 models in representing the Asian summer monsoon anticyclone? B. Singh et al. https://doi.org/10.1002/joc.7646
3886. Investigating the feedbacks between CO2, vegetation and the AMOC in a coupled climate model E. Armstrong et al. https://doi.org/10.1007/s00382-019-04634-2
3887. Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios M. Chen et al. https://doi.org/10.1038/s41597-020-00669-x
3888. Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent A. Rahman & S. Pekkat https://doi.org/10.1038/s41598-024-52275-1
3889. Resilience of offshore wind resources in Australia under climate change using CMIP6 CORDEX projections A. Meucci et al. https://doi.org/10.1016/j.egycc.2026.100236
3890. Trends and future projections of Olea flowering in the western Mediterranean: The example of the Alentejo region (Portugal) A. Picornell et al. https://doi.org/10.1016/j.agrformet.2023.109559
3891. The ocean losing its breath under the heatwaves C. Li et al. https://doi.org/10.1038/s41467-024-51323-8
3892. Interpolation of environmental data using deep learning and model inference C. Ibebuchi & I. Abu https://doi.org/10.1088/2632-2153/ad4b94
3893. An evaluation framework for downscaling and bias correction in climate change impact studies E. Vogel et al. https://doi.org/10.1016/j.jhydrol.2023.129693
3894. Modelling green hydrogen scenarios in coastal Morocco based on offshore wind energy potential Y. Zekeik et al. https://doi.org/10.1016/j.ijhydene.2025.150513
3895. Conservation gaps and spatial priorities in threatened South American ecotones E. Vitor do Couto et al. https://doi.org/10.20935/AcadBiol8433
3896. Enhancing accuracy in streamflow prediction under climate change scenarios based on an integrated machine learning–metaheuristic optimization approach S. Heshamati et al. https://doi.org/10.2166/wcc.2025.499
3897. JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2 A. Wiltshire et al. https://doi.org/10.5194/gmd-13-483-2020
3898. Transient climate simulations of the Holocene (version 1) – experimental design and boundary conditions Z. Tian et al. https://doi.org/10.5194/gmd-15-4469-2022
3899. Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios A. Duyar et al. https://doi.org/10.1002/ece3.70693
3900. Projected thermal stress and regional vulnerability of Manila clam production in Korean waters under climate change scenarios Y. Jung et al. https://doi.org/10.1016/j.ecss.2025.109209
3901. Conservation status and spatiotemporal distribution of fish with socioeconomic importance in the Amazonia-Cerrado transition zone C. MANCINI et al. https://doi.org/10.1590/1809-4392202400921
3902. Uneven patterns of palm species loss due to climate change are not driven by their sexual systems C. Cássia-Silva et al. https://doi.org/10.1007/s10531-023-02700-0
3903. Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model P. Lind et al. https://doi.org/10.1007/s00382-022-06589-3
3904. Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling C. Kadow et al. https://doi.org/10.5334/jors.253
3905. Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs Y. Yue et al. https://doi.org/10.1016/j.atmosres.2021.105828
3906. Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models X. Zou et al. https://doi.org/10.3390/atmos14101531
3907. Coherent Mechanistic Patterns of Tropical Land Hydroclimate Changes S. Duan et al. https://doi.org/10.1029/2022GL102285
3908. Tracking the Effects of Climate Change on the Distribution of Plecia nearctica (Diptera, Bibionidae) in the USA Using MaxEnt and GIS H. Abou-Shaara et al. https://doi.org/10.3390/d14080690
3909. A robust multi-criteria and rank-stability framework for station-scale evaluation and ranking of CMIP6 GCM precipitation over the Jhelum River Basin M. Lone et al. https://doi.org/10.3389/fclim.2026.1880364
3910. Predicting the current and future global distribution of the invasive freshwater hydrozoan Craspedacusta sowerbii G. Marchessaux et al. https://doi.org/10.1038/s41598-021-02525-3
3911. Transient overturning changes cause an upper-ocean nutrient decline in a warming climate S. Sun et al. https://doi.org/10.1038/s41467-024-52200-0
3912. Assessment and future projections of storm surge using CMIP6 models in the Indo-Pacific region K. Saha et al. https://doi.org/10.1016/j.ocemod.2025.102560
3913. Navigating challenges/opportunities in developing smart agricultural extension platforms: data source, compilation, and conversion J. Kpodo & A. Nejadhashemi https://doi.org/10.1016/j.inpa.2026.06.004
3914. Various ways of using empirical orthogonal functions for climate model evaluation R. Benestad et al. https://doi.org/10.5194/gmd-16-2899-2023
3915. Estimating multisite precipitation by a stepwise NHMM-VAR model considering the spatiotemporal correlations of precipitation amounts X. Zha et al. https://doi.org/10.1016/j.jhydrol.2022.128065
3916. How will drought evolve in global arid zones under different future emission scenarios? F. Wu et al. https://doi.org/10.1016/j.ejrh.2024.101661
3917. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. https://doi.org/10.1029/2018MS001464
3918. Future changes in the wintertime ENSO-NAO teleconnection under greenhouse warming X. Geng et al. https://doi.org/10.1038/s41612-024-00627-z
3919. AMOC slowdown amplifies North Atlantic salinity variability to unprecedented levels T. Iwakiri et al. https://doi.org/10.1038/s41467-026-73838-y
3920. Attributing observed permafrost warming in the northern hemisphere to anthropogenic climate change L. Gudmundsson et al. https://doi.org/10.1088/1748-9326/ac8ec2
3921. Snow cover duration delays spring green-up in the northern hemisphere the most for grasslands X. Wang et al. https://doi.org/10.1016/j.agrformet.2024.110130
3922. Efeitos das mudanças climáticas na região norte de Minas Gerais D. Roberto Neres et al. https://doi.org/10.59824/rmrh.v6.329
3923. Machine Learning for Bias-Correction of Extreme Precipitation Indices Over West Africa I. Okeyode et al. https://doi.org/10.1007/s41748-025-00961-z
3924. Slipped through the narrow door: Effects of climate change on the distribution and conservation of a vulnerable tiger gecko, Goniurosaurus luii, from China and Vietnam H. Ngo et al. https://doi.org/10.3897/natureconservation.59.151689
3925. Assessing the impacts of land use and climate change on streamflow generation in the Nowrangpur catchment based on the SWAT–land-use update tool S. Kaur & S. Chavan https://doi.org/10.2166/wcc.2024.265
3926. Ocean acidification as a planetary signal linking Earth system memory to deep-time lithosphere–ocean geochemical interactions S. Das & M. Roy Choudhury https://doi.org/10.1016/j.earscirev.2026.105623
3927. Tropical tropospheric warming pattern explained by shifts in convective heating in the Matsuno–Gill model P. Keil et al. https://doi.org/10.1002/qj.4526
3928. Future warming exacerbates heatwave-ozone compound extremes in China M. Cui et al. https://doi.org/10.1038/s41612-025-01218-2
3929. Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning A. Kheir et al. https://doi.org/10.1088/1748-9326/ad75ab
3930. Overview of the Spectral Coherence between Planetary Resonances and Solar and Climate Oscillations N. Scafetta & A. Bianchini https://doi.org/10.3390/cli11040077
3931. Forecast-based attribution of extratropical cyclones using AI weather models B. Jiménez-Esteve et al. https://doi.org/10.1088/2752-5295/ae714b
3932. Spatial and temporal variability of future extreme precipitation in Bangladesh using CMIP6 models R. Mishu et al. https://doi.org/10.2166/wcc.2025.415
3933. The Gulf Stream and Kuroshio Current are synchronized T. Kohyama et al. https://doi.org/10.1126/science.abh3295
3934. Projection of extreme heat- and cold-related mortality in Sweden based on the spatial synoptic classification O. Fonseca-Rodríguez et al. https://doi.org/10.1016/j.envres.2023.117359
3935. Ice Algae Model Intercomparison Project phase 2 (IAMIP2) H. Hayashida et al. https://doi.org/10.5194/gmd-14-6847-2021
3936. Challenges in drought monitoring and assessment in India S. Aadhar & V. Mishra https://doi.org/10.1016/j.wasec.2022.100120
3937. European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP) M. Demory et al. https://doi.org/10.5194/gmd-13-5485-2020
3938. A clustering-based approach to ocean model–data comparison around Antarctica Q. Sun et al. https://doi.org/10.5194/os-17-131-2021
3939. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-533-2021
3940. Evaluating NEX-GDDP-CMIP6 performance in complex terrain for forecasting key freezing rain factors W. Zou et al. https://doi.org/10.1007/s00704-024-05159-3
3941. Suitability of CMIP6 Models Considering Statistical Downscaling Based on GloH2O and E-OBS Dataset in River Basin Districts of the Southeastern Baltic Sea Basin V. Akstinas et al. https://doi.org/10.3390/atmos16020229
3942. Precipitation-induced abrupt decrease of Siberian wildfire in summer 2022 under continued warming Y. Cho et al. https://doi.org/10.1088/1748-9326/ad5573
3943. Sea Ice Suppression of CO2 Outgassing in the West Antarctic Peninsula: Implications For The Evolving Southern Ocean Carbon Sink E. Shadwick et al. https://doi.org/10.1029/2020GL091835
3944. Impact of Decadal Trends in the Surface Climate of the North Atlantic Subpolar Gyre on the Marine Environment of the Barents Sea V. Koul et al. https://doi.org/10.3389/fmars.2021.778335
3945. Evaluation of CMIP6 for historical temperature and precipitation over the Tibetan Plateau and its comparison with CMIP5 Y. Zhu & S. Yang https://doi.org/10.1016/j.accre.2020.08.001
3946. HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation R. Haarsma et al. https://doi.org/10.5194/gmd-13-3507-2020
3947. A method for estimating the effect of climate change on monthly mean temperatures: September 2023 and other recent record‐warm months in Helsinki, Finland M. Rantanen et al. https://doi.org/10.1002/asl.1216
3948. Regional Warming and Intensifying Extremes: Past and Future Climate in the Bajos Submeridionales Basin, Argentina G. Müller et al. https://doi.org/10.1007/s41748-025-00774-0
3949. Foreseeing drought-prone regions in India under climate change: a comprehensive analysis through the development of Drought Prone Index S. Tayyaba et al. https://doi.org/10.1007/s10661-025-14324-8
3950. Afro-Asian climate response to future solar radiation management T. Adeliyi et al. https://doi.org/10.1016/j.scs.2025.106825
3951. Analysis of CMIP6 atmospheric moisture fluxes and the implications for projections of future change in mean and heavy rainfall I. Watterson et al. https://doi.org/10.1002/joc.6777
3952. Widespread underestimation of ecosystem water use efficiency in CMIP6 models D. Li & S. Wang https://doi.org/10.1016/j.jhydrol.2024.132558
3953. StraitFlux – precise computations of water strait fluxes on various modeling grids S. Winkelbauer et al. https://doi.org/10.5194/gmd-17-4603-2024
3954. Explainable AI in lengthening ENSO prediction from western north pacific precursor L. Deng et al. https://doi.org/10.1016/j.ocemod.2024.102431
3955. Projected Changes to Spring and Summer Precipitation in the Midwestern United States K. Grady et al. https://doi.org/10.3389/frwa.2021.780333
3956. Using Climate Model Decadal Predictions and Statistical Extrapolations of Location-Specific Near-Term Temperature and Precipitation for Infrastructure Engineering Y. Lai & D. Dzombak https://doi.org/10.1061/AOMJAH.AOENG-0015
3957. Little Influence of Asian Anthropogenic Aerosols on Summer Temperature in Central East Asia Since 1960 W. Hua et al. https://doi.org/10.1029/2022GL097946
3958. The Boreal Summer Zonal Wavenumber-3 Trend Pattern and Its Connection with Surface Enhanced Warming Y. Liu et al. https://doi.org/10.1175/JCLI-D-21-0460.1
3959. Evaluation and future projection of marine heatwaves in CMIP6 models in the Indian Ocean J. Sandaruwan et al. https://doi.org/10.1088/2515-7620/ae21a0
3960. Projected Changes in Precipitation Based on the CMIP6 Optimal Multi-Model Ensemble in the Pearl River Basin, China M. He et al. https://doi.org/10.3390/rs15184608
3961. A Morphing-Based Future Scenario Generation Method for Stochastic Power System Analysis Y. Gao et al. https://doi.org/10.3390/su16072762
3962. Amplification of warming-wetting in high mountains and associated mechanisms during the 21st century in Xinjiang, Central Asia R. Chen et al. https://doi.org/10.1007/s10584-024-03834-y
3963. Emerging trans-Eurasian heatwave-drought train in a warming climate J. Jeong et al. https://doi.org/10.1126/sciadv.adr7320
3964. Integrating statistical metrics and spatial network analysis for a multi-scale climate model evaluation T. Anand et al. https://doi.org/10.1007/s12040-025-02615-0
3965. Anthropogenic forcing and subtropical anticyclonic drivers of the August 2022 heatwave in China W. Liang et al. https://doi.org/10.1016/j.wace.2024.100707
3966. Future Projection of Extreme Precipitation Indices over the Qilian Mountains under Global Warming Y. Li et al. https://doi.org/10.3390/ijerph20064961
3967. Modulation of Land Photosynthesis by the Indian Ocean Dipole: Satellite‐Based Observations and CMIP6 Future Projections J. Wang et al. https://doi.org/10.1029/2020EF001942
3968. Assessing the performance of 33 CMIP6 models in simulating the large-scale environmental fields of tropical cyclones Y. Han et al. https://doi.org/10.1007/s00382-021-05986-4
3969. Effects of Soil Texture Datasets on FGOALS-g3 Global Long-Term Simulations K. Xia et al. https://doi.org/10.2151/sola.2024-047
3970. Non-uniform changes of daily precipitation in China: Observations and simulations J. Wang et al. https://doi.org/10.1016/j.wace.2024.100665
3971. Climate model tuning with adaptive supermodeling J. Seneca et al. https://doi.org/10.1063/5.0304768
3972. The 2022-like compound dry and hot extreme in the Northern Hemisphere: Extremeness, attribution, and projection Y. Meng et al. https://doi.org/10.1016/j.atmosres.2023.107009
3973. Climate, weather, and child health: quantifying health co-benefits S. Dasgupta & E. Robinson https://doi.org/10.1088/1748-9326/ad5d09
3974. Daytime-only mean data enhance understanding of land–atmosphere coupling Z. Yin et al. https://doi.org/10.5194/hess-27-861-2023
3975. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al. https://doi.org/10.1029/2022GB007520
3976. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. https://doi.org/10.1029/2020MS002210
3977. When will meteorological droughts become the new normal climatic condition in Central-Southern Chile? F. González-Leiva et al. https://doi.org/10.1080/02626667.2026.2625979
3978. Downscaling bias-corrected climate projections for future heat and cold stress assessment across local climate zones S. Xu et al. https://doi.org/10.1016/j.enbuild.2026.118241
3979. Quantification of The Performance of CMIP6 Models for Dynamic Downscaling in The North Pacific and Northwest Pacific Oceans S. Oh et al. https://doi.org/10.1007/s13143-023-00320-w
3980. Communicating potentially large but non‐robust changes in multi‐model projections of future climate G. Zappa et al. https://doi.org/10.1002/joc.7041
3981. A statistical-dynamical method for projecting temperature across multiple SSPs from a limited subset: A CMIP6 case study X. Xie et al. https://doi.org/10.1016/j.accre.2026.06.030
3982. Bio-Ecological Indicators for Gentiana pneumonanthe L. Climatic Suitability in the Iberian Peninsula T. Freitas et al. https://doi.org/10.3390/plants14182857
3983. Decadal prediction system based on the INM RAS climate model V. Bragina et al. https://doi.org/10.1007/s00382-026-08047-w
3984. Climate change impacts on mesophotic regions of the Great Barrier Reef J. McWhorter et al. https://doi.org/10.1073/pnas.2303336121
3985. Quantification of climate change-driven water stress on thermal power plants in India R. Shinde et al. https://doi.org/10.1016/j.compchemeng.2023.108454
3986. Antarctic sea ice prediction with A convolutional long short-term memory network X. Dong et al. https://doi.org/10.1016/j.ocemod.2024.102386
3987. Exploring the Future of Rainfall Extremes Over CONUS: The Effects of High Emission Climate Change Trajectories on the Intensity and Frequency of Rare Precipitation Events S. Emmanouil et al. https://doi.org/10.1029/2022EF003039
3988. Emergence of anthropogenic precipitation changes in a future warmer climate S. Kusunoki et al. https://doi.org/10.1038/s41612-025-01128-3
3989. Revisiting the modelled cloud radiative feedback on ENSO — the source of model uncertainty W. Xu et al. https://doi.org/10.1007/s00382-025-07728-2
3990. Impact of Subgrid Variation of Water Vapor on Longwave Radiation in a General Circulation Model S. Kim et al. https://doi.org/10.1029/2019MS001926
3991. Future Sea Level Change Under Coupled Model Intercomparison Project Phase 5 and Phase 6 Scenarios From the Greenland and Antarctic Ice Sheets A. Payne et al. https://doi.org/10.1029/2020GL091741
3992. Climate warming contributes to the record-shattering 2022 Pakistan rainfall Y. You et al. https://doi.org/10.1038/s41612-024-00630-4
3993. Contributions of Anthropogenic Aerosol Forcing and Multidecadal Internal Variability to Mid‐20th Century Arctic Cooling—CMIP6/DAMIP Multimodel Analysis T. Aizawa et al. https://doi.org/10.1029/2021GL097093
3994. Modelling the sensitivity of ice loss to calving front retreat rates in the Amundsen Sea Embayment, West Antarctica J. Barnes et al. https://doi.org/10.5194/tc-20-777-2026
3995. Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017 J. Han et al. https://doi.org/10.1088/1748-9326/ab7390
3996. Probabilistic Extreme Rainfall Projections under Climate Change: Extending Regional Extreme Value Analysis with a Climate Model–Informed Bayesian Approach Y. Lai et al. https://doi.org/10.1061/AJRUA6.RUENG-1976
3997. Assessment of CMIP6 model performance in simulating atmospheric aerosol and precipitation over Africa B. Mmame et al. https://doi.org/10.1016/j.asr.2023.06.030
3998. Amazon forest faces severe decline under the dual pressures of anthropogenic climate change and land-use change S. Bultan et al. https://doi.org/10.1073/pnas.2418813122
3999. High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs R. McKenna et al. https://doi.org/10.1016/j.renene.2021.10.027
4000. Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models S. Blichner et al. https://doi.org/10.1038/s41467-024-45001-y
4001. Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change X. Zhang et al. https://doi.org/10.1038/s43247-024-01463-y
4002. Thermal limits of facilitation: experimental warming constrains cactus recruitment in drylands F. Guerra-Coss et al. https://doi.org/10.1007/s11258-026-01655-w
4003. CMIP6 models project a shrinking precipitation area A. Dobler et al. https://doi.org/10.1038/s41612-024-00794-z
4004. Basin-Scale Vegetation Sensitivity to Relative Humidity Variability Across Türkiye Under CMIP6 SSP Pathways M. Çelik et al. https://doi.org/10.3390/cli14090179
4005. Improved representation of atmospheric dynamics in CMIP6 models removes climate sensitivity dependence on Hadley cell climatological extent B. De et al. https://doi.org/10.1002/asl.1073
4006. Diverse built environment pathways for bridging global ambitions with local initiatives in sustainable transportation transitions T. Wang et al. https://doi.org/10.1038/s44333-026-00098-0
4007. 21st-century stagnation in unvegetated sand-sea activity A. Gunn et al. https://doi.org/10.1038/s41467-022-31123-8
4008. Projected increase in extreme heat exposure for vulnerable groups in late spring in China H. Luo et al. https://doi.org/10.1016/j.accre.2025.08.001
4009. The impacts of rising vapour pressure deficit in natural and managed ecosystems K. Novick et al. https://doi.org/10.1111/pce.14846
4010. The importance of horizontal model resolution on simulated precipitation in Europe – from global to regional models G. Strandberg & P. Lind https://doi.org/10.5194/wcd-2-181-2021
4011. Importance of the Antarctic Slope Current in the Southern Ocean Response to Ice Sheet Melt and Wind Stress Change R. Beadling et al. https://doi.org/10.1029/2021JC017608
4012. Taking the spatio-temporal effects of climate change into account for Life Cycle Assessment of prospective scenarios to secure water supplies in agricultural areas N. Rogy et al. https://doi.org/10.1016/j.scitotenv.2023.169345
4013. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. https://doi.org/10.1016/j.ejrh.2023.101533
4014. Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo T. Lam et al. https://doi.org/10.1002/joc.8442
4015. Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-Term Regional Temperature and Precipitation Y. Lai & D. Dzombak https://doi.org/10.1175/WAF-D-19-0158.1
4016. Climate Change Projections for the Australian Monsoon From CMIP6 Models S. Narsey et al. https://doi.org/10.1029/2019GL086816
4017. 基于纯数据驱动的Transformer模型对2023~2024年热带太平洋气候状态的实时预测 荣. 张 et al. https://doi.org/10.1360/N072024-0038
4018. Nutrition-sensitive climate risk across food production systems M. Tigchelaar et al. https://doi.org/10.1088/1748-9326/ad9b3a
4019. A Climate Perspective on the 2025 North China Record-breaking Extreme Rainfall: Analogues and Future Risks K. Gui et al. https://doi.org/10.1007/s00376-026-5801-6
4020. Investigating the role of stratospheric ozone as a driver of inter-model spread in CO2 effective radiative forcing R. Byrom et al. https://doi.org/10.5194/acp-25-5683-2025
4021. A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events J. Akinyoola et al. https://doi.org/10.1007/s41810-024-00223-x
4022. Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment D. Zanchettin et al. https://doi.org/10.5194/gmd-15-2265-2022
4023. Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. https://doi.org/10.1002/esp.5775
4024. Experiment design of the International CLIVAR C20C+ Detection and Attribution project D. Stone et al. https://doi.org/10.1016/j.wace.2019.100206
4025. Improving forest carbon sequestration through thinning strategies under soil conservation constraints: A case study in Shaanxi Province, China L. Liu et al. https://doi.org/10.1016/j.ecolind.2024.112291
4026. The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing C. Folland et al. https://doi.org/10.1126/sciadv.adk6693
4027. Increasing Future Precipitation in the Southwestern US in the Summer and Its Contrasting Mechanism With Decreasing Precipitation in the Spring W. Liang & M. Zhang https://doi.org/10.1029/2021GL096283
4028. Predicting future runoff variability in river basins with machine learning S. Mohammad et al. https://doi.org/10.1016/j.asr.2026.05.018
4029. High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE C. Fernandez-Palomino et al. https://doi.org/10.1038/s41597-023-02863-z
4030. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo https://doi.org/10.1029/2022JD038118
4031. Ecological differentiation in Pinus nigra subspecies predicts differential responses to climate change D. Romera-Romera et al. https://doi.org/10.1007/s10342-025-01868-0
4032. Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China L. Tian et al. https://doi.org/10.3390/rs14102330
4033. A model intercomparison of atmospheric 137Cs concentrations from the Fukushima Daiichi Nuclear Power Plant accident, phase III: Simulation with an identical source term and meteorological field at 1-km resolution Y. Sato et al. https://doi.org/10.1016/j.aeaoa.2020.100086
4034. Duration of frozen days show a strong decline in the Northern Hemisphere mainly driven by autumn temperature increase Q. Yuan et al. https://doi.org/10.59717/j.xinn-geo.2024.100118
4035. Model predictive control of energy pile-based space heating and cooling systems under future weather conditions Q. Ma et al. https://doi.org/10.1016/j.renene.2025.123937
4036. Impact of deforestation and climate on the Amazon Basin’s above-ground biomass during 1993–2012 J. Exbrayat et al. https://doi.org/10.1038/s41598-017-15788-6
4037. Quantifying the time of emergence of the anthropogenic signal in the global land carbon sink N. Li et al. https://doi.org/10.5194/bg-23-767-2026
4038. Drought frequency, intensity, and exposure have increased due to historical land use and land cover changes T. Tang et al. https://doi.org/10.1038/s43247-025-02392-0
4039. Multi-objective optimization for robust optimal green retrofit design of public buildings under multiple SSP scenarios J. An et al. https://doi.org/10.1016/j.rser.2026.116900
4040. High impact compound events in Australia N. Ridder et al. https://doi.org/10.1016/j.wace.2022.100457
4041. The effect of solar radiation modification on agroclimatic indices in Africa T. Egbebiyi et al. https://doi.org/10.1088/2752-5295/ade619
4042. How certain are El Niño–Southern Oscillation frequency changes in Coupled Model Intercomparison Project Phase 6 models? F. Fix et al. https://doi.org/10.1002/joc.7901
4043. The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production J. Rajbanshi & S. Das https://doi.org/10.1016/j.jhydrol.2021.126845
4044. Equilibrium Modeling for Environmental Science: Exploring the Nexus of Economic Systems and Environmental Change M. Cantele et al. https://doi.org/10.1029/2020EF001923
4045. Characterizing Future Trends of Temperature and Rainfall Using CMIP6 Climate Scenarios over Upper Wabe-Sheble River Basin, Ethiopia D. Cherinet https://doi.org/10.11648/j.wros.20261505.14
4046. Simulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false priming R. Varney et al. https://doi.org/10.5194/bg-20-3767-2023
4047. Rapid Acceleration of Dangerous Compound Heatwaves and Their Impacts in a Warmer China W. Dong et al. https://doi.org/10.1029/2023GL104850
4048. Robust and Uncertain Sea-Level Pressure Patterns over Summertime East Asia in the CMIP6 Multi-Model Future Projections T. OSE et al. https://doi.org/10.2151/jmsj.2022-032
4049. Historical baselines reveal suitable conservation landscapes for Javan and Sumatran rhinoceros M. Granger et al. https://doi.org/10.1016/j.cub.2026.02.001
4050. Assessing future greenhouse gas concentrations in Madrid, Spain: a dynamical downscaling approach using WRF-VPRM R. Jose et al. https://doi.org/10.1007/s11869-025-01798-1
4051. Sensitivities of the interannual variability of the East Asian winter monsoon for the physical parameters in CAS-FGOALS-g3 Q. Wang et al. https://doi.org/10.1007/s00382-025-07675-y
4052. Causal Links Between Arctic Sea Ice and Its Potential Drivers Based on the Rate of Information Transfer D. Docquier et al. https://doi.org/10.1029/2021GL095892
4053. Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin X. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130510
4054. Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration C. Bieri et al. https://doi.org/10.5194/gmd-18-3755-2025
4055. Drivers of summer Antarctic sea-ice extent at interannual time scale in CMIP6 large ensembles based on information flow D. Docquier et al. https://doi.org/10.1007/s00382-025-07878-3
4056. Projecting 21st-century glacier change in the Qilian Mountains: A dynamic modeling approach of Laohugou Glacier No.12 with Elmer/Ice and CMIP6 Y. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103750
4057. How atmospheric humidity drives the outgoing longwave radiation–surface temperature relationship and inter-model spread J. Feng et al. https://doi.org/10.1088/1748-9326/acfb98
4058. Antagonism between ambient ozone increase and urbanization-oriented population migration on Chinese cardiopulmonary mortality H. Sun et al. https://doi.org/10.1016/j.xinn.2023.100517
4059. Global peatland area and carbon dynamics from the Last Glacial Maximum to the present – a process-based model investigation J. Müller & F. Joos https://doi.org/10.5194/bg-17-5285-2020
4060. Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. https://doi.org/10.5194/gmd-15-8181-2022
4061. The ACCESS-CM2 climate model with a higher resolution ocean-sea ice component (1/4°) W. Huneke et al. https://doi.org/10.5194/gmd-18-9991-2025
4062. Projected Changes in Extratropical Atmospheric Circulation Modes in the 21st Century Using the Earth System Model of the Institute of Numerical Mathematics A. Gvozdeva et al. https://doi.org/10.1134/S0001433826700374
4063. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. https://doi.org/10.1111/jbi.14785
4064. Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. https://doi.org/10.5194/acp-23-2829-2023
4065. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
4066. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. https://doi.org/10.1029/2021GL094532
4067. Evaluating the performance and biases of terrestrial evapotranspiration and its partitioning over China in CMIP6 models H. Chen et al. https://doi.org/10.1016/j.jhydrol.2026.135775
4068. Surface ozone pollution-driven risks for the yield of major food crops under future climate change scenarios in India K. Anagha & J. Kuttippurath https://doi.org/10.1016/j.envres.2025.121390
4069. Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea Y. Song et al. https://doi.org/10.1002/joc.7386
4070. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China Z. Li et al. https://doi.org/10.1016/j.wace.2022.100503
4071. Potential distribution, range dynamics, and livestock exposure risk of Veratrum nigrum L. in China under climate change S. Zhang et al. https://doi.org/10.3389/fpls.2026.1835288
4072. The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation B. STEVENS et al. https://doi.org/10.2151/jmsj.2020-021
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4074. Exploring Radiation Biases Over the Tropical and Subtropical Oceans Based on Treatments of Frozen‐Hydrometeor Radiative Properties in CMIP6 Models J. Li et al. https://doi.org/10.1029/2021JD035976
4075. A Zonal See‐Saw Variation of Tropical Cyclogenesis Over the Arabian Sea and Bay of Bengal‐South China Sea X. Cao et al. https://doi.org/10.1029/2023JD038890
4076. Genetic diversity and geographic distribution patterns of Cinnamomum camphora under climate change in China Z. Li et al. https://doi.org/10.1016/j.gecco.2023.e02619
4077. Global convection-permitting model improves subseasonal forecast of plum rain around Japan J. Gu et al. https://doi.org/10.1088/1748-9326/ad71e2
4078. Climate-Driven Changes in the Projected Annual and Seasonal Precipitation over the Northern Highlands of Pakistan M. Asif et al. https://doi.org/10.3390/w16233461
4079. Increased Exposure of China’s Cropland to Droughts under 1.5 °C and 2 °C Global Warming L. Miao et al. https://doi.org/10.3390/atmos13071035
4080. Increases in forest carbon stocks of up to 32% by 2100 across the subalpine forests of the Tibetan Plateau T. Li et al. https://doi.org/10.1016/j.ecolind.2025.113675
4081. Using analogues to predict changes in future UK heatwaves* E. Yule et al. https://doi.org/10.1088/2752-5295/ad57e3
4082. Colder Eastern Equatorial Pacific and Stronger Walker Circulation in the Early 21st Century: Separating the Forced Response to Global Warming From Natural Variability U. Heede & A. Fedorov https://doi.org/10.1029/2022GL101020
4083. Future Climate Projections for Nebraska: Insights from CMIP6 on Precipitation and Temperature Trends M. Dar et al. https://doi.org/10.1007/s41748-025-00977-5
4084. Asymmetric impacts of El Niño–Southern Oscillation on the winter precipitation over South China: the role of the India–Burma Trough X. Lin et al. https://doi.org/10.1007/s00382-023-06675-0
4085. Biases of the Mean and Shape Properties in CMIP6 Extreme Precipitation Over Central Asia Z. Liu et al. https://doi.org/10.3389/feart.2022.918337
4086. How Well Are Clouds Simulated over Greenland in Climate Models? Consequences for the Surface Cloud Radiative Effect over the Ice Sheet A. Lacour et al. https://doi.org/10.1175/JCLI-D-18-0023.1
4087. Steady threefold Arctic amplification of externally forced warming masked by natural variability W. Zhou et al. https://doi.org/10.1038/s41561-024-01441-1
4088. Assessing the complementarity of future hybrid wind and solar photovoltaic energy resources for North America X. Costoya et al. https://doi.org/10.1016/j.rser.2022.113101
4089. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. https://doi.org/10.1073/pnas.2312400121
4090. An overview of the connection between Earth’s climate evolution and mass extinction events M. Montero-Martínez & M. Andrade-Velázquez https://doi.org/10.15446/esrj.v26n4.103152
4091. Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections T. Tran et al. https://doi.org/10.1109/JSTARS.2024.3380514
4092. Comparison of trends in the Hadley circulation between CMIP6 and CMIP5 Y. Xia et al. https://doi.org/10.1016/j.scib.2020.06.011
4093. Are Cut-off Lows simulated better in CMIP6 compared to CMIP5? H. Pinheiro et al. https://doi.org/10.1007/s00382-022-06200-9
4094. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. https://doi.org/10.3390/atmos12030406
4095. Preface to Special Issue on CMIP6 Experiments: Model and Dataset Descriptions T. Zhou https://doi.org/10.1007/s00376-020-0008-8
4096. Interannual ENSO diversity, transitions, and projected changes in observations and climate models M. Freund et al. https://doi.org/10.1088/1748-9326/ad78db
4097. Assessing the impact of climate change on snowmelt runoff and monthly streamflow in an Upper Himalayan River Basin using the SWAT model S. Biswas & S. Biswas https://doi.org/10.1007/s00704-025-05508-w
4098. Influence of winter stratospheric polar vortex intensity on spring drought in northern China J. Zhang et al. https://doi.org/10.1007/s00382-026-08101-7
4099. Climate change impact on the niche dynamics of Diospyros crumenata, a critically endangered tree species in Western Ghats–Sri Lanka biodiversity hotspot J. Jose et al. https://doi.org/10.1093/inteam/vjaf179
4100. Pattern scaling of simulated vegetation change in northern Africa during glacial cycles M. Duque-Villegas et al. https://doi.org/10.5194/cp-21-773-2025
4101. Impacts of Ice-Shelf Melting on Water-Mass Transformation in the Southern Ocean from E3SM Simulations H. Jeong et al. https://doi.org/10.1175/JCLI-D-19-0683.1
4102. Expected reliability over a planning horizon of a hydraulic infrastructure and its uncertainty under hydroclimatic future projections A. de la Fuente et al. https://doi.org/10.1016/j.jhydrol.2023.129700
4103. Enhanced understanding of soil methane processes through modeling microbial kinetics and taxonomy S. Zhou et al. https://doi.org/10.1016/j.soilbio.2025.109838
4104. RETRACTED: Multi-Model Assessment to Analyze Flow Alteration Under the Changing Climate in a Medium-Sized River Basin in Nepal: A Case Study of the Kankai River Basin M. Sharma et al. https://doi.org/10.3390/w17070940
4105. Downwind control of oceanic air by land: the land wake and its sensitivity to CO2 M. Laguë et al. https://doi.org/10.1088/1748-9326/ac9702
4106. Projected changes in mean climate and extremes from downscaled high-resolution CMIP6 simulations in Australia S. Chapman et al. https://doi.org/10.1016/j.wace.2024.100733
4107. Glacier retreat reorganizes river habitats leaving refugia for Alpine invertebrate biodiversity poorly protected M. Wilkes et al. https://doi.org/10.1038/s41559-023-02061-5
4108. Modelling impacts of climate change on snow drought, groundwater drought, and their feedback mechanism in a snow-dominated watershed in western Canada Y. Huang et al. https://doi.org/10.1016/j.jhydrol.2024.131342
4109. Study of the PDO Index Predictability for 1 to 5 Years with INMCM5 M. Aleksandrov et al. https://doi.org/10.1134/S0001437024700401
4110. Forecasting 21st Century Hydrological Challenges in Arid Regions: Climate-induced Shifts in Runoff and Evapotranspiration S. Hussain et al. https://doi.org/10.1007/s11269-025-04225-3
4111. Tropical forest restoration under future climate change A. Koch & J. Kaplan https://doi.org/10.1038/s41558-022-01289-6
4112. Mid- to late Holocene centennial-scale shifts of the Southern Hemisphere Westerly winds J. Kaiser et al. https://doi.org/10.1177/09596836251387256
4113. Tropospheric ozone responses to the El Niño–Southern Oscillation (ENSO): quantification of individual processes and future projections from multiple chemical models J. Li et al. https://doi.org/10.5194/acp-25-12983-2025
4114. Subtropical drying under greenhouse gas-induced warming J. Zhu et al. https://doi.org/10.1007/s00382-023-06797-5
4115. Mind the (spectral) gap: how the temporal resolution of wind data affects multi-decadal wind power forecasts N. Effenberger et al. https://doi.org/10.1088/1748-9326/ad0bd6
4116. Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy M. Struglia et al. https://doi.org/10.5194/gmd-18-6095-2025
4117. Impact of modulating surface heat flux through sea ice leads on Arctic sea ice in EC-Earth3 in different climates T. Tian et al. https://doi.org/10.5194/tc-19-2751-2025
4118. Assessing the risk of future Dunkelflaute events for Germany using generative deep learning F. Strnad et al. https://doi.org/10.1017/eds.2026.10038
4119. Historical trends and controlling factors of isoprene emissions in CMIP6 Earth system models N. Do et al. https://doi.org/10.5194/gmd-18-2079-2025
4120. Temperature dataset of CMIP6 models over China: evaluation, trend and uncertainty Q. You et al. https://doi.org/10.1007/s00382-021-05691-2
4121. Climate change critically affects the status of the land-system change planetary boundary A. Tobian et al. https://doi.org/10.1088/1748-9326/ad40c2
4122. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. https://doi.org/10.1029/2019GL086875
4123. Forced response and internal variability in ensembles of climate simulations: identification and analysis using linear dynamical mode decomposition A. Gavrilov et al. https://doi.org/10.1007/s00382-023-06995-1
4124. Projection of the Airborne CO2 Concentration by Land/Ocean Absorption Dynamics and Fossil-Fuel Reserve Depletion E. Canuto et al. https://doi.org/10.1007/s10666-024-09985-7
4125. Selecting CMIP6 models to assess the impact of climate change on energy need for heating and cooling in Europe H. Filahi et al. https://doi.org/10.1007/s00704-024-05263-4
4126. Development of DRIP - drought representation index for CMIP climate model performance, application to Southeast Brazil L. Almeida et al. https://doi.org/10.1016/j.scitotenv.2024.176443
4127. Identifying Suitable Regions for Fritillaria unibracteata Cultivation Without Damage from the Pest Eospalax baileyi C. Deng et al. https://doi.org/10.3390/plants14050674
4128. Prediction of Land Surface Temperature Considering Future Land Use Change Effects under Climate Change Scenarios in Nanjing City, China L. Tian et al. https://doi.org/10.3390/rs15112914
4129. Carbon system state determines warming potential of emissions A. Winkler et al. https://doi.org/10.1371/journal.pone.0306128
4130. Hybrid deep learning models for projecting cyanobacterial harmful algal blooms under climate change scenarios M. Nikoo https://doi.org/10.1016/j.engappai.2026.115464
4131. Glaciers and glaciation of North Island, New Zealand S. Eaves & M. Brook https://doi.org/10.1080/00288306.2020.1811354
4132. Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations H. Zekollari et al. https://doi.org/10.5194/tc-18-5045-2024
4133. Future Amplification of Multivariate Risk of Compound Drought and Heatwave Events on South Asian Population I. Ullah et al. https://doi.org/10.1029/2023EF003688
4134. Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands V. Kowal et al. https://doi.org/10.3390/land10040397
4135. The climate of a retrograde rotating Earth U. Mikolajewicz et al. https://doi.org/10.5194/esd-9-1191-2018
4136. Effectiveness of causality-based predictor selection for statistical downscaling: a case study of rainfall in an Ecuadorian Andes basin A. Vázquez-Patiño et al. https://doi.org/10.1007/s00704-022-04205-2
4137. Relationship between systematic temperature bias and East Asian winter monsoon in CORDEX East Asia phase II experiments S. Shin et al. https://doi.org/10.1007/s00382-024-07124-2
4138. Increasing ENSO–rainfall variability due to changes in future tropical temperature–rainfall relationship K. Yun et al. https://doi.org/10.1038/s43247-021-00108-8
4139. Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. https://doi.org/10.1002/joc.8117
4140. Influence of floodplains and groundwater dynamics on the present-day climate simulated by the CNRM climate model B. Decharme & J. Colin https://doi.org/10.5194/esd-16-729-2025
4141. Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change J. Nichol et al. https://doi.org/10.1016/j.cam.2021.113451
4142. Projected shifts in the distribution of Anopheles funestus under future climate scenarios in Malawi I. Tchuwa & G. Phiri https://doi.org/10.1007/s44274-025-00386-5
4143. OMPS-LP aerosol extinction coefficients and their applicability in GloSSAC M. Kovilakam et al. https://doi.org/10.5194/acp-25-535-2025
4144. Human-induced climate change intensifies spatially compounding fire weather extremes across European countries E. Gauthier & E. Bevacqua https://doi.org/10.1038/s44304-026-00201-y
4145. Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOALS-f3-L S. Zhao et al. https://doi.org/10.1007/s00376-020-0112-9
4146. Southern Annular Mode persistence and westerly jet: a reassessment using high-resolution global models T. Chen et al. https://doi.org/10.5194/wcd-6-1179-2025
4147. New climate models reveal faster and larger increases in Arctic precipitation than previously projected M. McCrystall et al. https://doi.org/10.1038/s41467-021-27031-y
4148. Climate change will lead to local extinctions and mismatched range contractions disrupting bee-dependent crop pollination W. Oliveira et al. https://doi.org/10.3389/frbee.2025.1510451
4149. Unprecedented Europe Heat in June–July 2019: Risk in the Historical and Future Context F. Ma et al. https://doi.org/10.1029/2020GL087809
4150. A novel approach to project future changes in meteorological factors affecting severe surface ozone over the Korean Peninsula under SSP scenarios D. Kim et al. https://doi.org/10.1007/s00704-024-05238-5
4151. Emergent Constraints on Future Expansion of the Indo‐Pacific Warm Pool I. Park et al. https://doi.org/10.1029/2021GL097343
4152. Cloud Response Is Significantly Biased by CMIP6 Over the Tibetan Plateau Y. Zhao et al. https://doi.org/10.1029/2022GL100903
4153. Impact attribution of anthropogenic forcing on lake surface temperature X. Wang et al. https://doi.org/10.1038/s41467-026-76221-z
4154. Assessment of the potential of CMIP6 models in simulating the sea surface temperature variability over the tropical Indian Ocean B. Bhattacharya et al. https://doi.org/10.1007/s00704-022-03952-6
4155. Optimal Growth of IPV Lags AMV Modulations by up to a Decade J. Yang et al. https://doi.org/10.1029/2021GL096654
4156. Simulating Climatic Patterns and Their Impacts on the Food Security Stability System in Jammu, Kashmir and Adjoining Regions, India A. Bhat et al. https://doi.org/10.3390/cli12070099
4157. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking Q. Zhu et al. https://doi.org/10.1029/2018MS001571
4158. Regional disparities in extreme precipitation trends across East Asia: Observation-constrained projection and attribution Z. Bao et al. https://doi.org/10.1016/j.accre.2025.12.008
4159. Potential geographical distribution of Garcinia paucinervis Chun et How in China under future climate change scenarios based on the MaxEnt Model H. Li et al. https://doi.org/10.1371/journal.pone.0330483
4160. Föhn, fire and grazing in Southern Tibet? A 20,000-year multi-proxy record in an alpine ecotonal ecosystem G. Miehe et al. https://doi.org/10.1016/j.quascirev.2021.106817
4161. Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records S. Eckhardt et al. https://doi.org/10.1038/s41467-022-35660-0
4162. Using climate models to estimate the quality of global observational data sets F. Massonnet et al. https://doi.org/10.1126/science.aaf6369
4163. Global predictions of primary soil salinization under changing climate in the 21st century A. Hassani et al. https://doi.org/10.1038/s41467-021-26907-3
4164. Hydrologic Response to Future Climate Change in the Dulong-Irrawaddy River Basin Based on Coupled Model Intercomparison Project 6 Z. Xu et al. https://doi.org/10.1007/s11769-024-1420-2
4165. The Southern Ocean Freshwater Input from Antarctica (SOFIA) Initiative: scientific objectives and experimental design N. Swart et al. https://doi.org/10.5194/gmd-16-7289-2023
4166. The atmospheric effect of aerosols on future tropical cyclone frequency and precipitation in the Energy Exascale Earth System Model A. Sena et al. https://doi.org/10.1007/s00382-024-07359-z
4167. Level Variations in the Caspian Sea under Different Climate Conditions by the Data of Simulation under CMIP6 Project A. Kislov & P. Morozova https://doi.org/10.1134/S0097807821060099
4168. Projected increase in global runoff dominated by land surface changes S. Zhou et al. https://doi.org/10.1038/s41558-023-01659-8
4169. Evaluation of model performance in simulating extreme precipitation indices over eastern China: A comparison of CORDEX and NEX-GDDP models H. Yu et al. https://doi.org/10.1016/j.atmosres.2026.108760
4170. Asymmetrical Precipitation Sensitivity to Temperature Across Global Dry and Wet Regions J. Liang et al. https://doi.org/10.1029/2023EF003617
4171. Reviving the Aral Sea: A Hydro‐Eco‐Social Perspective X. Wang et al. https://doi.org/10.1029/2023EF003657
4172. Milk contamination in Europe under anticipated climate change scenarios L. Katsini et al. https://doi.org/10.3389/fsufs.2024.1468698
4173. Influence of Subseasonal-to-Annual Water Supply Forecasts on Many-Objective Water System Robustness under Long-Term Change K. Semmendinger & S. Steinschneider https://doi.org/10.1061/JWRMD5.WRENG-6205
4174. A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data R. Abeed et al. https://doi.org/10.5194/acp-23-12505-2023
4175. Idoneidad climática de tres especies de vertebrados invasores en Áreas Naturales Protegidas en el noreste de México J. Ramírez-Albores et al. https://doi.org/10.53010/nys14.02
4176. Global expansion of the sensitive aerosol-limited marine cloud regime under emission reductions X. Han et al. https://doi.org/10.1126/sciadv.aef9665
4177. Spatiotemporal evolution of the maximum freezing depth of seasonally frozen ground and permafrost continuity in historical and future periods in Heilongjiang Province, China S. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106195
4178. Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India R. Datta & M. Reddy https://doi.org/10.1007/s00477-023-02484-3
4179. Role of AMOC in Transient Climate Response to Greenhouse Gas Forcing in Two Coupled Models A. Hu et al. https://doi.org/10.1175/JCLI-D-19-1027.1
4180. Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties T. Fan et al. https://doi.org/10.1007/s00376-021-1119-6
4181. Atmospheric methane since the last glacial maximum was driven by wetland sources T. Kleinen et al. https://doi.org/10.5194/cp-19-1081-2023
4182. Improved methods for estimating equilibrium climate sensitivity from transient warming simulations A. Dai et al. https://doi.org/10.1007/s00382-020-05242-1
4183. Predicting the Potential Distribution of Amyelois transitella (Walker) in China Under Climate Change Using a Biomod2-Based Ensemble Model S. Li et al. https://doi.org/10.3390/insects17040364
4184. An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations H. Rahaman et al. https://doi.org/10.1016/j.ocemod.2019.101503
4185. China’s nationwide streamflow decline driven by landscape changes and human interventions K. Wang et al. https://doi.org/10.1126/sciadv.adu8032
4186. Evaluation of the ability of CMIP6 models to simulate precipitation over Southwestern South America: Climatic features and long-term trends (1901–2014) J. Rivera & G. Arnould https://doi.org/10.1016/j.atmosres.2020.104953
4187. A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the Northern Hemisphere mid-to-high latitudes S. Brands https://doi.org/10.5194/gmd-15-1375-2022
4188. CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5] C. Mackallah et al. https://doi.org/10.5194/gmd-19-8053-2026
4189. Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al. https://doi.org/10.1029/2023JD038906
4190. High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. https://doi.org/10.1029/2022EF002833
4191. Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow D. Docquier et al. https://doi.org/10.1038/s41598-024-76056-y
4192. The DOE E3SM version 2.1: overview and assessment of the impacts of parameterized ocean submesoscales K. Smith et al. https://doi.org/10.5194/gmd-18-1613-2025
4193. The trend and spatial spread of multisectoral climate extremes in CMIP6 models O. Adeyeri et al. https://doi.org/10.1038/s41598-022-25265-4
4194. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
4195. Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao https://doi.org/10.1175/JCLI-D-21-0332.1
4196. Future atmospheric surface circulations and their impact on the regional climate of Japan based on the CMIP6 projections and observed statistics R. Ito et al. https://doi.org/10.3178/hrl.24-00011
4197. The response of global terrestrial water storage to drought based on multiple climate scenarios W. Wei et al. https://doi.org/10.1016/j.atmosres.2024.107331
4198. Enhanced warming constrained by past trends in equatorial Pacific sea surface temperature gradient M. Watanabe et al. https://doi.org/10.1038/s41558-020-00933-3
4199. Joint model inference to support RAD-based decision making for aspen management in a changing climate P. Copenhaver-Parry & S. Byerly https://doi.org/10.1139/cjfr-2025-0244
4200. Historical and projected extreme climate changes in the upper Yellow River Basin, China S. Chen et al. https://doi.org/10.1038/s41598-025-99650-0
4201. Tropical volcanic eruptions enhance Pacific-driven global tropical cyclone genesis J. Zhao et al. https://doi.org/10.1088/1748-9326/ade895
4202. Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents Y. Song & E. Chung https://doi.org/10.5194/gmd-18-8017-2025
4203. Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China X. Jiao et al. https://doi.org/10.3390/agronomy13102498
4204. More accurate specification of water supply shows its importance for global crop production J. Proctor et al. https://doi.org/10.1038/s43016-022-00592-x
4205. Application-specific optimal model weighting of global climate models: A red tide example A. Elshall et al. https://doi.org/10.1016/j.cliser.2022.100334
4206. Comparison of monthly air and land surface temperature extremes simulated using CMIP5 and CMIP6 versions of the Beijing Climate Center climate model S. Nie et al. https://doi.org/10.1007/s00704-020-03090-x
4207. Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al. https://doi.org/10.1029/2023EF003479
4208. Temperature change and male infertility prevalence: an ecological study J. Qian et al. https://doi.org/10.1186/s12889-025-22934-7
4209. Exogenous moisture deficit fuels drought risks across China G. Wang et al. https://doi.org/10.1038/s41612-023-00543-8
4210. Emergent constraints on climate sensitivity and recent record-breaking warm years P. Boardman et al. https://doi.org/10.5194/esd-17-829-2026
4211. Compound Effects of Climate Change on Future Transboundary Water Issues in the Middle East A. Dezfuli et al. https://doi.org/10.1029/2022EF002683
4212. Preliminary study on hydrological angular momentum determined from CMIP6 historical simulations J. Nastula et al. https://doi.org/10.1186/s40623-022-01636-z
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4215. Glacial state of the global carbon cycle: time-slice simulations for the last glacial maximum with an Earth-system model T. Kurahashi-Nakamura et al. https://doi.org/10.5194/cp-18-1997-2022
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4220. Simulated ocean oxygenation during the interglacials MIS 5e and MIS 9e B. Duboc et al. https://doi.org/10.5194/cp-21-1093-2025
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4222. Linking community structure and climate vulnerability in desert plant assemblages of southern California H. Zumbado‐Ulate et al. https://doi.org/10.1002/ajb2.70224
4223. Predicting the Potential Distribution of Quesada gigas Under Current and Future Climate Conditions Using MaxEnt M. Loures-Ferreira et al. https://doi.org/10.1007/s13744-026-01387-6
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4226. Subseasonal reversals of winter surface air temperature in mid-latitude Asia and the roles of westward-shift NAO X. Song et al. https://doi.org/10.1088/1748-9326/acb787
4227. Unified climate factors predict influenza outbreak seasonality across tropical and temperate regions A. Stamper et al. https://doi.org/10.1093/pnasnexus/pgag160
4228. Heat health during future summers in eastern Asia: The combined roles of circulation, temperature and humidity R. Clark & P. Wu https://doi.org/10.1002/joc.8145
4229. How to reconstruct aerosol-induced diffuse radiation scenario for simulating GPP in land surface models? An evaluation of reconstruction methods with ORCHIDEE_DFv1.0_DFforc Y. Zhang et al. https://doi.org/10.5194/gmd-14-2029-2021
4230. Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage J. González-Rouco et al. https://doi.org/10.1175/JHM-D-21-0024.1
4231. Unraveling Projected Changes in Spatiotemporal Patterns and Drought Events across Mainland China Using CMIP6 Models and an Intensity–Area–Duration Algorithm J. Liu et al. https://doi.org/10.3390/land13101571
4232. Asymmetric impacts of forest gain and loss on tropical land surface temperature Y. Zhang et al. https://doi.org/10.1038/s41561-024-01423-3
4233. Extreme temperature indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1007/s00382-022-06503-x
4234. Wild Vanilla and pollinators at risk of spatial mismatch in a changing climate C. Watteyn et al. https://doi.org/10.3389/fpls.2025.1585540
4235. Predicting the current and future suitable-habitat distribution of tropical adult and juvenile targeted fishes in multi-sector fisheries of central Queensland, Australia D. Chamberlain et al. https://doi.org/10.1071/MF21273
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4237. Inter-annual variability of the Indian summer monsoon: a comparative study of the mid-Pliocene and pre-industrial eras K. Dahiya et al. https://doi.org/10.1007/s00382-025-07775-9
4238. Unusually low dust activity in North Africa in June 2023: Causes, impacts and future projections D. Francis et al. https://doi.org/10.1016/j.atmosres.2024.107594
4239. Spatial-temporal dynamics of meteorological and groundwater drought in Northwest China: Propagation, threshold, recovery time, drivers J. Shan et al. https://doi.org/10.1016/j.ejrh.2025.103090
4240. Fossil fuel emissions dominate Northern Hemisphere CO2 seasonal cycle trends under mitigation scenarios Z. Jin et al. https://doi.org/10.1038/s41467-026-75003-x
4241. swNEMO_v4.0: an ocean model based on NEMO4 for the new-generation Sunway supercomputer Y. Ye et al. https://doi.org/10.5194/gmd-15-5739-2022
4242. The Duration of Dry Events Promotes PVC Film Fragmentation in Intermittent Rivers N. Barthelemy et al. https://doi.org/10.1021/acs.est.4c00528
4243. Evaluation of past and future trends of temperature and rainfall under CMIP6 scenarios in the Ayehu watershed, Upper Blue Nile Basin, Ethiopia A. Bitew & A. Minale https://doi.org/10.2166/wcc.2025.032
4244. CAS-FGOALS Datasets for the Two Interglacial Epochs of the Holocene and the Last Interglacial in PMIP4 W. Zheng et al. https://doi.org/10.1007/s00376-020-9290-8
4245. Association between temperature variability and global meningitis incidence J. Chen et al. https://doi.org/10.1016/j.envint.2022.107649
4246. Almost nothing left to lose: Suitable habitat for glacial relicts strongly declines under future climate and land use scenarios M. Boxriker et al. https://doi.org/10.1016/j.gecco.2025.e03541
4247. How representative are FLUXNET measurements of surface fluxes during temperature extremes? S. van der Horst et al. https://doi.org/10.5194/bg-16-1829-2019
4248. Evaluation of the CMIP6 multi-model ensemble for climate extreme indices Y. Kim et al. https://doi.org/10.1016/j.wace.2020.100269
4249. A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions R. Cavalheiro et al. https://doi.org/10.1007/s11295-026-01741-0
4250. Determining environmental drivers of global mud snail invasions using climate and hydroclimate models S. Aksu et al. https://doi.org/10.1007/s10750-024-05554-x
4251. A Paris-like agreement for biodiversity needs IPCC-like science G. Wilhere https://doi.org/10.1016/j.gecco.2021.e01617
4252. Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway E. Oguz et al. https://doi.org/10.1080/17499518.2023.2283848
4253. Assessing the feasibility of sprinkler irrigation schemes and their adaptation to future climate change in groundwater over-exploitation regions X. Zhang et al. https://doi.org/10.1016/j.agwat.2024.108674
4254. Greenhouse warming intensifies north tropical Atlantic climate variability Y. Yang et al. https://doi.org/10.1126/sciadv.abg9690
4255. The Intrinsic 150‐Day Periodicity of the Southern Hemisphere Extratropical Large‐Scale Atmospheric Circulation S. Lubis & P. Hassanzadeh https://doi.org/10.1029/2022AV000833
4256. High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols J. Tang et al. https://doi.org/10.1038/s41612-023-00463-7
4257. Precipitation disaster hotspots depend on historical climate variability I. de Vries et al. https://doi.org/10.1038/s41467-025-66601-2
4258. Projections of tropical cyclone-driven storm-tide risk to critical infrastructure in the Bay of Bengal C. Blakely et al. https://doi.org/10.1038/s44304-026-00175-x
4259. CMIP6 projections of ocean warming and the impact on dimethylsulfide emissions from the Great Barrier Reef, Australia R. Jackson et al. https://doi.org/10.3389/fmars.2022.910420
4260. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. https://doi.org/10.5194/esd-15-689-2024
4261. A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. https://doi.org/10.1126/sciadv.adg1213
4262. Last Interglacial subsurface warming on the Antarctic shelf triggered by reduced deep-ocean convection N. Yeung et al. https://doi.org/10.1038/s43247-024-01383-x
4263. Evaluation of the seasonality and spatial aspects of the Southern Annular Mode in CMIP6 models X. Zhang et al. https://doi.org/10.1002/joc.7447
4264. Assessing future maize water demand in Karnataka under CMIP6 climate projections: model evaluation and CROPWAT simulations S. Sridhara et al. https://doi.org/10.1016/j.agwat.2025.109720
4265. Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. https://doi.org/10.5194/gmd-15-5713-2022
4266. Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth R. Bilbao et al. https://doi.org/10.5194/esd-12-173-2021
4267. Eastern equatorial Pacific warming delayed by aerosols and thermostat response to CO2 increase U. Heede & A. Fedorov https://doi.org/10.1038/s41558-021-01101-x
4268. Climate change risks and adaptive capacity analysis in the Botswana livestock industry O. Kgosikoma & K. Kgosikoma https://doi.org/10.1007/s11250-025-04771-3
4269. Inadequacy of agricultural best management practices under warmer climates M. Zammali et al. https://doi.org/10.1088/1748-9326/ad928e
4270. Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
4271. CMIP6 model fidelity at simulating large-scale atmospheric circulation patterns and associated temperature and precipitation over the Pacific Northwest G. Taylor et al. https://doi.org/10.1007/s00382-022-06410-1
4272. Dynamic 3-D Visualization of Climate Model Development and Results J. Walton et al. https://doi.org/10.1109/MCG.2020.3042587
4273. Projected impacts of climate change on global irrigation water withdrawals G. Haile et al. https://doi.org/10.1016/j.agwat.2024.109144
4274. Upstream influence of midlatitude jet stream biases in boreal summer L. Boljka et al. https://doi.org/10.1002/asl.1272
4275. The projected occurrence changes of the lower atmospheric ducts accompanied with sea fog under different CMIP6 scenarios across the Hangzhou Bay Y. Pu et al. https://doi.org/10.3389/fmars.2026.1746556
4276. Climate warming modifies hydrological responses in the southern Western Ghats and the western coastal plains (India): Insights from CMIP6-VIC simulations J. Thomas et al. https://doi.org/10.1016/j.jenvman.2025.125252
4277. The response of atmospheric blocking and East Asian cold extremes to future Arctic Sea ice loss W. Zhuo et al. https://doi.org/10.1016/j.atmosres.2024.107355
4278. Enhanced ENSO-driven potential predictability over the Euro-Atlantic under greenhouse warming D. Santuy et al. https://doi.org/10.1038/s41612-026-01482-w
4279. Projected Aridity Dynamics Across the Western Balkans Using a Multi-Model CMIP6 Ensemble and Short-Term AI Benchmarking I. Djalović et al. https://doi.org/10.3390/atmos17080712
4280. Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China Z. Zhang et al. https://doi.org/10.1016/j.agrformet.2022.108914
4281. Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
4282. Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model Y. Ni et al. https://doi.org/10.1021/acs.est.5c11992
4283. An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis J. Lavoie et al. https://doi.org/10.1038/s41597-023-02855-z
4284. Testing GWP* to quantify non-CO2 contributions in the carbon budget framework in overshoot scenarios M. Mastropierro et al. https://doi.org/10.1038/s41612-025-00980-7
4285. Observation-based estimate of Earth’s effective radiative forcing S. Van Loon et al. https://doi.org/10.1073/pnas.2425445122
4286. Assessing precipitation extremes in CMIP6 HighResMIP and possible future changes over the western North Pacific J. Yang et al. https://doi.org/10.1016/j.apor.2026.105017
4287. Land use carbon emission projections in shared socioeconomic and representative concentration pathways: Relationship with urbanization in Chinese megacities Y. Yao et al. https://doi.org/10.1016/j.landusepol.2025.107659
4288. Widespread intensification of global river hydrograph flashiness under climate change S. Zhu et al. https://doi.org/10.1038/s43247-026-03681-y
4289. Improvement in the decadal prediction skill of the North Atlantic extratropical winter circulation through increased model resolution M. Schuster et al. https://doi.org/10.5194/esd-10-901-2019
4290. Extreme climate events and transboundary effects of global crop trade J. Hedlund & N. Diffenbaugh https://doi.org/10.1088/2752-5295/ae390b
4291. Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C H. Eum et al. https://doi.org/10.1016/j.ejrh.2023.101390
4292. Impact of El Niño and La Niña on the ocean carbon cycle Y. Hong & B. Ali https://doi.org/10.1051/matecconf/202541002024
4293. flat10MIP: an emissions-driven experiment to diagnose the climate response to positive, zero and negative CO2 emissions B. Sanderson et al. https://doi.org/10.5194/gmd-18-5699-2025
4294. Coupling future climate and land‐use projections reveals where to strengthen the protection of Mediterranean Key Biodiversity Areas F. Verniest et al. https://doi.org/10.1111/csp2.12807
4295. An Antarctic ecosystem value index to quantify ecological value across trophic levels and over time A. DuVivier et al. https://doi.org/10.1038/s41467-026-69011-0
4296. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. https://doi.org/10.1088/1748-9326/ab94e8
4297. Spatiotemporal variability of air–sea CO2 fluxes in response to El Niño-related marine heatwaves in the tropical Pacific Ocean M. Zhang et al. https://doi.org/10.1016/j.marenvres.2025.106949
4298. The variability atlas: how internal climate variability affects the estimation of climate extreme indices L. Brunner et al. https://doi.org/10.1088/1748-9326/ae9c57
4299. Assessing the impact of future climate scenarios on crop water requirements and agricultural water supply across different climatic zones of Pakistan M. Shafeeque & A. Bibi https://doi.org/10.3389/feart.2023.1283171
4300. Temperature and Precipitation Change over South China in CMIP5 and CMIP6 Models: Historical Simulation and Future Projection D. Peng et al. https://doi.org/10.1007/s00376-024-4375-4
4301. Projected changes in risks of winter damage to fruit trees and plant hardiness zones in Canada B. Qian et al. https://doi.org/10.1139/cjps-2024-0178
4302. Climate Scenarios for Switzerland CH2018 – Approach and Implications A. Fischer et al. https://doi.org/10.1016/j.cliser.2022.100288
4303. Future changes in society and climate may strongly shape wild large-herbivore faunas across Europe M. Davoli & J. Svenning https://doi.org/10.1098/rstb.2023.0334
4304. Improving consistency among models of overlapping scope in multi-sector studies: The case of electricity capacity expansion scenarios G. Iyer et al. https://doi.org/10.1016/j.rser.2019.109416
4305. Atmospheric teleconnection processes linking winter air stagnation and haze extremes in China with regional Arctic sea ice decline Y. Zou et al. https://doi.org/10.5194/acp-20-4999-2020
4306. Response of Natural Gas Consumption to Temperature and Projection under SSP Scenarios during Winter in Beijing J. Min et al. https://doi.org/10.3390/atmos13081178
4307. Antarctic contribution to future sea level from ice shelf basal melt as constrained by ice discharge observations E. van der Linden et al. https://doi.org/10.5194/tc-17-79-2023
4308. GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios R. Muñoz-Sánchez et al. https://doi.org/10.1038/s41597-025-05496-6
4309. Assessment of Future Water Security under Climate Change: Practical Water Allocation Scenarios in a Drought-Prone Watershed in South Korea W. Kim et al. https://doi.org/10.3390/w16202933
4310. Integrating climate extremes with key biodiversity areas for improved biodiversity risk analysis and protected area planning A. Ly & N. Diffenbaugh https://doi.org/10.1111/csp2.70190
4311. The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. https://doi.org/10.5194/gmd-15-2973-2022
4312. Interdecadal winter temperature variability driven by the East China Sea Mode: A global perspective K. Fang et al. https://doi.org/10.1007/s11430-025-1981-4
4313. Incremental evolution of modeling a prognosis for polar bears in a rapidly changing Arctic B. Marcot et al. https://doi.org/10.1016/j.ecolind.2023.111130
4314. Climatological Increased Precipitation from July to August in the Western North Pacific Region Simulated by CMIP6 Models X. Dong & R. Lin https://doi.org/10.3390/atmos12060664
4315. Future changes of dry‐wet climate regions and its contributing climatic factors in China based on CMIP6 models Y. Kou et al. https://doi.org/10.1002/joc.8046
4316. A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020 K. Zhang et al. https://doi.org/10.1038/s41597-024-03271-7
4317. Warmer climate projections in EC-Earth3-Veg: the role of changes in the greenhouse gas concentrations from CMIP5 to CMIP6 K. Wyser et al. https://doi.org/10.1088/1748-9326/ab81c2
4318. Estimating the global technical potential of building-integrated solar energy production using a high-resolution geospatial model G. Molnár et al. https://doi.org/10.1016/j.jclepro.2022.134133
4319. The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis F. Zabel & B. Poschlod https://doi.org/10.5194/gmd-16-5383-2023
4320. Obtaining refined Euro-Mediterranean rainfall projections through regional assessment of CMIP6 General Circulation Models G. Ferreiro-Lera et al. https://doi.org/10.1016/j.gloplacha.2025.104725
4321. Amplifying population exposure of extreme precipitation across Yellow River Basin, China at 1.5° C, 2.0° C and 3.0° C global warming R. Yao et al. https://doi.org/10.1007/s11069-025-07161-y
4322. Modeling current and future distributions of key fodder grasses under climate change in Senegal using Biomod2 I. Sawadogo et al. https://doi.org/10.1007/s43621-026-03250-5
4323. Intensive and extensive margins of the peak load: Measuring adaptation with mixed frequency panel data F. Colelli et al. https://doi.org/10.1016/j.eneco.2023.106923
4324. Comparative assessment of future solar power potential based on CMIP5 and CMIP6 multi-model ensembles S. Ha et al. https://doi.org/10.1016/j.renene.2023.02.039
4325. Projected Rainfall‐Driven Expansion of Woody Cover in African Drylands W. Zhang et al. https://doi.org/10.1029/2023GL103932
4326. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al. https://doi.org/10.1088/1748-9326/acb226
4327. Developing nutrient pollution management strategies on a watershed scale under climate change J. Han et al. https://doi.org/10.1016/j.ecolind.2024.111691
4328. Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity K. Armour et al. https://doi.org/10.1073/pnas.2312093121
4329. ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses O. Watt-Meyer et al. https://doi.org/10.1038/s41612-025-01090-0
4330. Future hydrological regime shifts and water security risks in Ethiopia's Awash River Basin: Ensemble CMIP6-driven SWAT+ simulations under SSP2-4.5 and SSP5-8.5 A. Legass et al. https://doi.org/10.1016/j.envc.2026.101523
4331. Future sea-level rise projections for tide gauge locations in South Asia B. Harrison et al. https://doi.org/10.1088/2515-7620/ac2e6e
4332. Comparison of indicators to evaluate the performance of climate models M. Gómez et al. https://doi.org/10.1002/joc.8619
4333. Enhanced Impacts of ENSO on the Southeast Asian Summer Monsoon Under Global Warming and Associated Mechanisms S. Lin et al. https://doi.org/10.1029/2023GL106437
4334. Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models B. Harris et al. https://doi.org/10.5194/esd-15-1019-2024
4335. Estimating and tracking the remaining carbon budget for stringent climate targets J. Rogelj et al. https://doi.org/10.1038/s41586-019-1368-z
4336. FROT: A Framework to comprehensively describe radiative contributions to temperature responses E. Monteiro et al. https://doi.org/10.1088/1748-9326/ad8807
4337. Overview of the MOSAiC expedition: Physical oceanography B. Rabe et al. https://doi.org/10.1525/elementa.2021.00062
4338. Trivial improvements in predictive skill due to direct reconstruction of the global carbon cycle A. Spring et al. https://doi.org/10.5194/esd-12-1139-2021
4339. Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective S. Uppengal et al. https://doi.org/10.1002/rvr2.70054
4340. Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods T. Thorarinsdottir et al. https://doi.org/10.1088/1748-9326/abc778
4341. Reconstructions and predictions of the global carbon budget with an emission-driven Earth system model H. Li et al. https://doi.org/10.5194/esd-14-101-2023
4342. Evaluation and projection of marine heatwaves in the South China Sea: insights from CMIP6 multi-model ensemble K. Liu et al. https://doi.org/10.1007/s13131-023-2279-2
4343. Emergent Constraints on the Large-Scale Atmospheric Circulation and Regional Hydroclimate: Do They Still Work in CMIP6 and How Much Can They Actually Constrain the Future? I. Simpson et al. https://doi.org/10.1175/JCLI-D-21-0055.1
4344. The ICON Earth System Model Version 1.0 J. Jungclaus et al. https://doi.org/10.1029/2021MS002813
4345. Future greening of the Earth may not be as large as previously predicted Q. Zhao et al. https://doi.org/10.1016/j.agrformet.2020.108111
4346. Future projections of climate variables and meteorological drought: Insight from CMIP6 models in Southeast Ethiopia A. Tadase & A. Tekile https://doi.org/10.1016/j.dynatmoce.2025.101538
4347. The complementarity of offshore wind and floating photovoltaics in the Belgian North Sea, an analysis up to 2100 O. Delbeke et al. https://doi.org/10.1016/j.renene.2023.119253
4348. Assessment on the Climate Change Impact Using CMIP6 W. Othman & N. Tukimat https://doi.org/10.1088/1755-1315/1140/1/012005
4349. Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment T. O’Brien et al. https://doi.org/10.1029/2021JD036013
4350. Large simulated future changes in the nitrate radical under the CMIP6 SSP scenarios: implications for oxidation chemistry S. Archer-Nicholls et al. https://doi.org/10.5194/acp-23-5801-2023
4351. Assessment of Future Climate Changes in the Leningrad Region and St. Petersburg and Directions of Adaptation to them for the Sustainable Development of Regions V. Lobanov et al. https://doi.org/10.18412/1816-0395-2024-1-64-71
4352. Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1 F. Schevenhoven & A. Carrassi https://doi.org/10.5194/gmd-15-3831-2022
4353. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. https://doi.org/10.3390/atmos12070887
4354. Synergistic effects of Arctic amplification and Tibetan Plateau amplification on the Yangtze River Basin heatwaves W. Dong et al. https://doi.org/10.1038/s41612-024-00703-4
4355. Using high resolution climate models to explore future changes in post-tropical cyclone precipitation E. Bower & K. Reed https://doi.org/10.1088/1748-9326/ad2163
4356. Dependence of regional ocean heat uptake on anthropogenic warming scenarios X. Ma et al. https://doi.org/10.1126/sciadv.abc0303
4357. Future North Atlantic tropical cyclone intensities in modified historical environments N. Lalo et al. https://doi.org/10.1038/s41597-025-06186-z
4358. Simulation of Spatial and Temporal Patterns of Suitable Wintering Habitat for Hooded Crane (Grus monacha) Under Climate and Land Use Change Scenarios Z. Jiang et al. https://doi.org/10.3390/ani15010006
4359. Evaluation of upper tropospheric geopotential height anomalies over the tropical and subtropical oceans in CMIP6 models using GNSS radio occultation observations J. Li et al. https://doi.org/10.1088/2515-7620/adc976
4360. Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin D. Kilic et al. https://doi.org/10.5802/crgeos.165
4361. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. https://doi.org/10.3390/biology11081100
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4478. Differences in Radiative Forcing, Not Sensitivity, Explain Differences in Summertime Land Temperature Variance Change Between CMIP5 and CMIP6 D. Chan et al. https://doi.org/10.1029/2021EF002402
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4512. Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs T. Wong et al. https://doi.org/10.1029/2022EF003061
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4518. Century-scale attribution of winter extreme cold events in the East Asian monsoon region Z. Chen et al. https://doi.org/10.1088/1748-9326/ae886f
4519. Evaluating regional climate change during 2021–2080 for Iran and neighboring countries (a comparative analysis of projections and reanalysis data) H. Dehban et al. https://doi.org/10.1007/s00704-025-05381-7
4520. Toward a Consistent Definition between Satellite and Model Clear-Sky Radiative Fluxes N. Loeb et al. https://doi.org/10.1175/JCLI-D-19-0381.1
4521. Terrestrial amplification of past, present, and future climate change A. Seltzer et al. https://doi.org/10.1126/sciadv.adf8119
4522. Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. https://doi.org/10.1029/2022RG000780
4523. Enhancing multi-model ensemble simulations of climate extremes over the Tibetan Plateau using machine learning T. Cui et al. https://doi.org/10.1007/s00704-025-05622-9
4524. Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. https://doi.org/10.5194/acp-24-13633-2024
4525. Increased synoptic variability along the subtropical Meiyu front under global warming G. Yang & T. Li https://doi.org/10.1007/s00382-022-06554-0
4526. Passive cooling to mitigate climate-induced performance losses in photovoltaics H. Tan et al. https://doi.org/10.1016/j.xcrp.2026.103512
4527. Dramatic Weakening of the Tropical Easterly Jet Projected by CMIP6 Models S. Huang et al. https://doi.org/10.1175/JCLI-D-19-1002.1
4528. Monthly North Atlantic Sea Level Pressure Reconstruction Back to 1750 CE Using Artificial Intelligence Optimization F. Jaume-Santero et al. https://doi.org/10.1175/JCLI-D-21-0155.1
4529. Climate model trend errors are evident in seasonal forecasts at short leads J. Beverley et al. https://doi.org/10.1038/s41612-024-00832-w
4530. Evidence of localised Amazon rainforest dieback in CMIP6 models I. Parry et al. https://doi.org/10.5194/esd-13-1667-2022
4531. Future projections of aridity change across Africa's climatic regions E. Dioha et al. https://doi.org/10.1016/j.atmosres.2026.108916
4532. Planting suitability of China’s main grain crops under future climate change T. Lv et al. https://doi.org/10.1016/j.fcr.2023.109112
4533. When Will the Unprecedented 2022 Summer Heat Waves in Yangtze River Basin Become Normal in a Warming Climate? F. Ma & X. Yuan https://doi.org/10.1029/2022GL101946
4534. Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6 H. Wu et al. https://doi.org/10.1088/2515-7620/ac620e
4535. Improved simulation of the influence of the North Pacific Oscillation on El Niño-Southern Oscillation in CMIP6 than in CMIP5 models S. Chen et al. https://doi.org/10.1007/s00382-024-07423-8
4536. Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model S. Dixit et al. https://doi.org/10.1007/s00477-022-02230-1
4537. Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models T. Uchida et al. https://doi.org/10.5194/gmd-15-5829-2022
4538. Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system R. Mahmood et al. https://doi.org/10.5194/esd-13-1437-2022
4539. Prediction of the typhoon wind field in Hong Kong: integrating the effects of climate change using the Shared Socioeconomic Pathways J. Wang et al. https://doi.org/10.1007/s00382-022-06211-6
4540. pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies A. Hernanz et al. https://doi.org/10.1016/j.cliser.2023.100408
4541. Reduced spread of simulated global warming patterns among CMIP6 models with elevated level of warming Y. Meng et al. https://doi.org/10.1088/1748-9326/add9ae
4542. Future changes in hydro-climatic extremes of a large transboundary river basin using multi-model bias-corrected CMIP6 projections K. Rahaman et al. https://doi.org/10.1007/s11356-025-36754-0
4543. Historical (1850–2014) Aerosol Evolution and Role on Climate Forcing Using the GISS ModelE2.1 Contribution to CMIP6 S. Bauer et al. https://doi.org/10.1029/2019MS001978
4544. Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models J. Maqsood et al. https://doi.org/10.1038/s41598-024-63450-9
4545. Human influence on climate detectable in the late 19th century B. Santer et al. https://doi.org/10.1073/pnas.2500829122
4546. Increasing seasonal disparity in water availability across the Northern Hemisphere F. Zhao et al. https://doi.org/10.59717/j.xinn-geo.2026.100191
4547. Climate change impacts on South American water balance from a continental-scale hydrological model driven by CMIP5 projections J. Brêda et al. https://doi.org/10.1007/s10584-020-02667-9
4548. Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake Z. Chen et al. https://doi.org/10.1038/s41467-024-45957-x
4549. A physiological approach for assessing human survivability and liveability to heat in a changing climate J. Vanos et al. https://doi.org/10.1038/s41467-023-43121-5
4550. The contributions of individual countries and regions to the global radiative forcing B. Fu et al. https://doi.org/10.1073/pnas.2018211118
4551. Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al. https://doi.org/10.1029/2022WR034012
4552. The Rising Threat of Atmospheric CO2: A Review on the Causes, Impacts, and Mitigation Strategies L. Nunes https://doi.org/10.3390/environments10040066
4553. Air-sea coupling influence on projected changes in major Atlantic hurricane events D. Danso et al. https://doi.org/10.1016/j.wace.2024.100649
4554. Global kilometer-scale climate simulations: new opportunities for climate services D. Saint-Martin et al. https://doi.org/10.1088/1748-9326/aea00d
4555. Improved decomposition of cloud feedback and corresponding pattern change under uniform surface ocean warming: I. Anomalous mean method J. Feng & J. Ma https://doi.org/10.1186/s40562-025-00407-4
4556. Uncertainty in the projected changes of Sahel summer rainfall under global warming in CMIP5 and CMIP6 multi-model ensembles Z. Zhang & G. Li https://doi.org/10.1007/s00382-022-06284-3
4557. CMIP6 model performance in simulating precipitation and its extreme characteristics across Southeast Asia T. Soe et al. https://doi.org/10.1007/s00382-025-07938-8
4558. Global predictions of topsoil organic carbon stocks under changing climate in the 21st century B. Chen et al. https://doi.org/10.1016/j.scitotenv.2023.168448
4559. Consistency of global carbon budget between concentration- and emission-driven historical experiments simulated by CMIP6 Earth system models and suggestions for improved simulation of CO2 concentration T. Hajima et al. https://doi.org/10.5194/bg-22-1447-2025
4560. The effect of wet season river flows on flood plume distribution across northern Australia; contribution to coastal productivity, and future extent under climate change P. Cartwright et al. https://doi.org/10.1016/j.rsma.2025.104307
4561. Projecting the response of Greenland's peripheral glaciers to future climate change: glacier losses, sea level impact, freshwater contributions, and peak water timing M. Shafeeque et al. https://doi.org/10.5194/tc-20-875-2026
4562. Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes H. Wu et al. https://doi.org/10.1038/s41467-025-65000-x
4563. Assessment of CMIP6 models’ performance for South America: multilevel perspective M. da Silva et al. https://doi.org/10.1007/s00704-026-06585-1
4564. Multi-objective optimization for sustainable agricultural strategies considering future climatic scenarios: A study in the context of India S. Sharma et al. https://doi.org/10.1016/j.compchemeng.2025.109306
4565. Spatiotemporal patterns in precipitation whiplash over China during 1901–2100 based on CMIP6 simulations H. Luo et al. https://doi.org/10.1088/2515-7620/ad97aa
4566. Context matters when using climate model projections for aquaculture L. Falconer et al. https://doi.org/10.3389/fmars.2023.1198451
4567. Evaluation of historical CMIP6 model simulations and future projections of temperature and precipitation in Paraguay M. Lovino et al. https://doi.org/10.1007/s10584-021-03012-4
4568. Pre-training for deep statistical climate downscaling: enhancing consistency and robustness across regional datasets J. González-Abad et al. https://doi.org/10.5194/gmd-19-5781-2026
4569. Evaluation of extreme sub-daily precipitation in high-resolution global climate model simulations M. Wehner et al. https://doi.org/10.1098/rsta.2019.0545
4570. Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth D. Feldman et al. https://doi.org/10.1029/2020GL089221
4571. Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines T. Matsuta et al. https://doi.org/10.1371/journal.pone.0326303
4572. Variations in the 30–60‐Day Intra‐Seasonal Variability of Spring Precipitation Over the Mid‐Low Reaches of the Yangtze River and the Possible Mechanism S. Yu & J. Sun https://doi.org/10.1029/2022JD038070
4573. Dynamic modeling of topsoil organic carbon and its scenarios forecast in global Mollisols regions Y. Bao et al. https://doi.org/10.1016/j.jclepro.2023.138544
4574. ICON‐A, the Atmosphere Component of the ICON Earth System Model: I. Model Description M. Giorgetta et al. https://doi.org/10.1029/2017MS001242
4575. Prevalent atmospheric and oceanic signals of the unprecedented heatwaves over the Yangtze River Valley in July–August 2022 Z. Yin et al. https://doi.org/10.1016/j.atmosres.2023.107018
4576. Causal Relationships between Climate and the Carbon Cycle Considering Natural Climate Variability and Economic Cyclicity of Anthropogenic Greenhouse Gas Emissions into the Atmosphere K. Muryshev et al. https://doi.org/10.3103/S0027134925700778
4577. Decreased river runoff on the Mongolian Plateau since around 2000 W. Qi et al. https://doi.org/10.1007/s10980-024-01877-1
4578. Different ENSO Impacts on Eastern China Precipitation Patterns in Early and Late Winter Associated with Seasonally-Varying Kuroshio Anticyclonic Anomalies J. Yan et al. https://doi.org/10.1007/s00376-023-3196-1
4579. Could CMIP6 climate models reproduce the early-2000s global warming slowdown? M. Wei et al. https://doi.org/10.1007/s11430-020-9740-3
4580. Co‐occurrence of California Drought and Northeast Pacific Marine Heatwaves Under Climate Change H. Shi et al. https://doi.org/10.1029/2021GL092765
4581. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires https://doi.org/10.1007/s10584-023-03597-y
4582. CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output E. Robinson et al. https://doi.org/10.5194/essd-15-5371-2023
4583. Skill comparisons and physical drivers of multi-decadal rapid warming of Indian Ocean in CMIP6 models Z. Zhang et al. https://doi.org/10.1007/s00382-025-07706-8
4584. Raised bed furrow irrigation strategies and soil moisture dynamics for sustainable maize production in Bangladesh: Climate-informed DSSAT modeling under CMIP6 projections A. Adham et al. https://doi.org/10.1016/j.rineng.2026.111185
4585. Warming-induced cryosphere changes predict drier Andean eco-regions A. Al-Yaari et al. https://doi.org/10.1088/1748-9326/ad6ea6
4586. CO2 fertilization is spatially distinct from stomatal conductance reduction in controlling ecosystem water-use efficiency increase X. Zhang et al. https://doi.org/10.1088/1748-9326/ac6c9c
4587. Structure and Performance of GFDL's CM4.0 Climate Model I. Held et al. https://doi.org/10.1029/2019MS001829
4588. Terrestrial Stilling Projected to Continue in the Northern Hemisphere Mid‐Latitudes K. Deng et al. https://doi.org/10.1029/2021EF002448
4589. Simulation of observed climate changes in 1850–2014 with climate model INM-CM5 E. Volodin & A. Gritsun https://doi.org/10.5194/esd-9-1235-2018
4590. Evaluation and Projection of Precipitation in CMIP6 Models over the Qilian Mountains, China X. Yang et al. https://doi.org/10.3390/rs15174350
4591. Conversion from coniferous to broadleaved trees can make European forests more climate-effective Y. Yao et al. https://doi.org/10.1038/s41467-025-64580-y
4592. Wave energy characteristics in the South China Sea under future scenarios of the Coupled Model Intercomparison Project Phase 6 B. Xie et al. https://doi.org/10.1007/s13131-025-2575-0
4593. Influence of Winter Tasman Sea SST on the Antarctic Peninsula: A Perspective from Historical Simulations R. Wang et al. https://doi.org/10.1007/s00376-024-4350-0
4594. Classification of synoptic circulation patterns with a two-stage clustering algorithm using the modified structural similarity index metric (SSIM) K. Winderlich et al. https://doi.org/10.5194/esd-15-607-2024
4595. Emergent constraint on the projected central equatorial Pacific warming and northwestern Pacific monsoon trough change T. Tang et al. https://doi.org/10.1088/1748-9326/ad3a80
4596. Forecasting offshore wind energy in Atlantic Europe using CMIP6 dynamically downscaled data B. Thomas et al. https://doi.org/10.1016/j.energy.2025.139595
4597. Decadal modulation of temperature pattern over East Asia by Pacific Decadal Oscillation R. Guo et al. https://doi.org/10.1016/j.atmosres.2024.107248
4598. Climate-driven expansion and northwest migration of earthworm habitats on China’s Loess Plateau Z. Li et al. https://doi.org/10.1016/j.ecolind.2025.114491
4599. Tropical forests are facing increasing risks of exposure to critical temperature thresholds N. van Tiel et al. https://doi.org/10.1073/pnas.2528622123
4600. Not the expected poleward migration: Impact of climate change scenarios on the distribution of two endemic evergreen broad-leaved Quercus species in China H. Song et al. https://doi.org/10.1016/j.scitotenv.2023.164273
4601. Assessing the impact of climate change on rainfall patterns in Kermanshah, Iran: a machine learning approach A. Almasi et al. https://doi.org/10.1007/s13201-026-02768-3
4602. Constraining future surface air temperature change on the Tibetan Plateau J. Wang et al. https://doi.org/10.1088/1748-9326/ad6677
4603. Atmosphere teleconnections from abatement of China aerosol emissions exacerbate Northeast Pacific warm blob events H. Wang et al. https://doi.org/10.1073/pnas.2313797121
4604. Record‐breaking daily rainfall in the United Kingdom and the role of anthropogenic forcings N. Christidis et al. https://doi.org/10.1002/asl.1033
4605. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. https://doi.org/10.1126/sciadv.adf2758
4606. Modeling the Potential Climatic Suitability and Expansion Risk of Tuta absoluta (Meyrick, 1917) (Lepidoptera: Gelechiidae) Under Future Climate Scenarios T. Gao et al. https://doi.org/10.3390/insects16020185
4607. Climate warming accelerates carbon release from foliar litter—A global synthesis Z. Chen et al. https://doi.org/10.1111/gcb.17350
4608. Chemistry, Climate, and Transmission Spectra of TRAPPIST-1 e Explored with a Multimodel Sparse Sampled Ensemble E. Wolf et al. https://doi.org/10.3847/PSJ/ae031e
4609. A distributionally robust optimization model for building-integrated photovoltaic system expansion planning under demand and irradiance uncertainties Z. Wu et al. https://doi.org/10.1016/j.apenergy.2024.123740
4610. On the role of AMOC weakening in shaping wintertime Euro-Atlantic atmospheric circulation A. Vacca et al. https://doi.org/10.1007/s00382-025-07747-z
4611. Different Climate Responses to Northern, Tropical, and Southern Volcanic Eruptions in CMIP6 Models Q. Zeng & S. Chen https://doi.org/10.3390/cli14010008
4612. Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. https://doi.org/10.5194/acp-21-4979-2021
4613. Anthropogenic Attribution of the Increasing Seasonal Amplitude in Surface Ocean pCO2 F. Joos et al. https://doi.org/10.1029/2023GL102857
4614. Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization K. Morrison et al. https://doi.org/10.1371/journal.pone.0246662
4615. A frequent ice-free Arctic is likely to occur before the mid-21st century Z. Shen et al. https://doi.org/10.1038/s41612-023-00431-1
4616. Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. https://doi.org/10.5194/acp-23-13523-2023
4617. Twenty-first century surface UV radiation changes deduced from CMIP6 models. Part II: effects on UV index and plant growth weighted irradiance A. Chatzopoulou et al. https://doi.org/10.1007/s43630-024-00676-6
4618. Larval habitat suitability and landscape genetics of the mosquito Anopheles coluzzii on São Tomé and Príncipe islands L. Chamberland et al. https://doi.org/10.1007/s10980-025-02059-3
4619. Climate Perspectives in the Intra–Americas Seas A. Durán-Quesada et al. https://doi.org/10.3390/atmos11090959
4620. Modeling the Impact of Climate Change on the Distribution of Populus adenopoda in China Using the MaxEnt Model Y. Tian et al. https://doi.org/10.3390/f16111662
4621. Impact of major tropical volcanic eruptions on air temperatures in the Middle East G. Roshan et al. https://doi.org/10.1007/s12145-025-01954-2
4622. Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China Z. Song et al. https://doi.org/10.1016/j.jhydrol.2021.126643
4623. Estimation of probable maximum precipitation (PMP) in Hong Kong under future changing climate based on statistical downscaling S. Chan et al. https://doi.org/10.1016/j.uclim.2024.101988
4624. Abrupt excursions in water vapor isotopic variability at the Pointe Benedicte observatory on Amsterdam Island A. Landais et al. https://doi.org/10.5194/acp-24-4611-2024
4625. Efficacy of climate forcings in transient CMIP6 simulations G. Myhre et al. https://doi.org/10.3389/fclim.2024.1397358
4626. Increases in ozone-related mortality in China over 2013–2030 attributed to historical ozone deterioration and future population aging L. Chen et al. https://doi.org/10.1016/j.scitotenv.2022.159972
4627. Sensitivity of Arctic sea ice recovery to stratospheric aerosol injection latitude H. Kim et al. https://doi.org/10.1038/s41612-025-01298-0
4628. Scenario-Based Forecasts of Changes in the Temperature and Hydrological Regime of Crimea in the XXI Century by Data of CMIP6 Climate Models V. Semenov & M. Aleshina https://doi.org/10.1134/S0097807822040170
4629. Diversity of ENSO‐Related Surface Temperature Response in Future Projection in CMIP6 Climate Models: Climate Change Scenario Versus ENSO Intensity S. Yeh et al. https://doi.org/10.1029/2021GL096135
4630. Change of the wintertime multidecadal land precipitation variability in the mid‐1970s in the observation and CMIP6 simulations H. Chen et al. https://doi.org/10.1002/joc.7995
4631. A 578-year precipitation reconstruction in the southeastern Tibetan Plateau reveals AMV modulation of regional hydroclimate Y. Ding et al. https://doi.org/10.1016/j.palaeo.2026.114249
4632. Research on the future climate change and runoff response in the mountainous area of Yongding watershed J. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130108
4633. Increasing multiscale variability in extreme precipitation under global warming in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.130158
4634. Future changes in environmental stressors for the seamount chains of the Southeast Pacific M. Hammond et al. https://doi.org/10.3389/fmars.2025.1550708
4635. The tropical Atlantic as a negative feedback on ENSO I. Richter et al. https://doi.org/10.1007/s00382-022-06582-w
4636. Radiative sensitivity quantified by a new set of radiation flux kernels based on the ECMWF Reanalysis v5 (ERA5) H. Huang & Y. Huang https://doi.org/10.5194/essd-15-3001-2023
4637. China's Yangtze River basin is becoming the super heatwave centre in the East Asian monsoon regions J. Wei et al. https://doi.org/10.1002/joc.8621
4638. Analysis of global trade patterns and industrial layout in medicinal plants: A case study of Eucommia ulmoides oliver H. Luo et al. https://doi.org/10.1016/j.indcrop.2025.120555
4639. Spatiotemporal simulation of blue-green space pattern evolution and carbon storage under different SSP-RCP scenarios in Wuhan G. Li et al. https://doi.org/10.1038/s41598-025-88299-4
4640. CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments B. HE et al. https://doi.org/10.1080/16742834.2020.1778419
4641. Scenario-based analysis of the projected mean changes in the monthly frequency of hot days based on the latest CMIP6 simulations along European zonal segments F. Divinszki et al. https://doi.org/10.15201/hungeobull.75.1.1
4642. Climate change economics in Vietnam: Redefining economic impact C. Otto et al. https://doi.org/10.1016/j.eneco.2026.109390
4643. Observed Changes and Projected Risks of Hot–Dry/Hot–Wet Compound Events in China Y. Zou & X. Song https://doi.org/10.3390/rs16224208
4644. Causal networks for climate model evaluation and constrained projections P. Nowack et al. https://doi.org/10.1038/s41467-020-15195-y
4645. Future precipitation changes in California: Comparison of CMIP5 and CMIP6 intermodel spread and its drivers D. Petrova et al. https://doi.org/10.1002/joc.8449
4646. Simulation of Present Day Climate with Climate Model INMCM60 E. Volodin https://doi.org/10.31857/S0002351523010133
4647. Evidence of rapid adaptation integrated into projections of temperature-related excess mortality V. Huber et al. https://doi.org/10.1088/1748-9326/ac5dee
4648. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al. https://doi.org/10.5194/gmd-17-8141-2024
4649. Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa H. Babaousmail et al. https://doi.org/10.3390/atmos12040475
4650. Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. https://doi.org/10.5194/acp-23-743-2023
4651. Climate change impacts on the within-country income distributions M. Gilli et al. https://doi.org/10.1016/j.jeem.2024.103012
4652. Increasing risk of 2022-like droughts in Europe under climate change: evidence from Large Ensembles using flow analogs B. Bulut et al. https://doi.org/10.1007/s10584-026-04235-z
4653. Energy-based threshold for soybean target spot management under climate change in Brazil G. Luca et al. https://doi.org/10.3389/fagro.2026.1835386
4654. Strong intermodel differences and biases in CMIP6 simulations of PM2.5, aerosol optical depth, and precipitation over Africa C. Toolan et al. https://doi.org/10.5194/acp-25-10523-2025
4655. Increasing Frequency of Extremely Severe Cyclonic Storms in the North Indian Ocean by Anthropogenic Warming and Southwest Monsoon Weakening P. Swapna et al. https://doi.org/10.1029/2021GL094650
4656. Trends in the atmospheric jet streams are emerging in observations and could be linked to tropical warming T. Woollings et al. https://doi.org/10.1038/s43247-023-00792-8
4657. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé https://doi.org/10.5194/os-17-59-2021
4658. Future intensification of ENSO impacts on the Southeast Asian hydroclimate T. Le https://doi.org/10.1080/02626667.2025.2606159
4659. Historical Changes of Black Carbon in Snow and Its Radiative Forcing in CMIP6 Models Y. Chen et al. https://doi.org/10.3390/atmos13111774
4660. A trend-preserving statistical downscaling framework and its application to China’s offshore wind field H. Wang et al. https://doi.org/10.1007/s10584-025-04056-6
4661. Future wind speed and energy potential in Togo for the period 2021-2040: Projections from CORDEX-Africa models L. Batablinlè et al. https://doi.org/10.61435/ijred.2026.61680
4662. Water isotopes – climate relationships for the mid-Holocene and preindustrial period simulated with an isotope-enabled version of MPI-ESM A. Cauquoin et al. https://doi.org/10.5194/cp-15-1913-2019
4663. Evaluating the climatic state of Indian Summer Monsoon during the mid-Pliocene period using CMIP6 model simulations K. Dahiya et al. https://doi.org/10.1016/j.dynatmoce.2024.101455
4664. Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation M. Guarino et al. https://doi.org/10.5194/gmd-13-139-2020
4665. Alkalinity responses to climate warming destabilise the Earth’s thermostat N. Lehmann et al. https://doi.org/10.1038/s41467-023-37165-w
4666. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. https://doi.org/10.5194/gmd-10-359-2017
4667. Future intensification of precipitation and wind gust associated thunderstorms over Lake Victoria J. Van de Walle et al. https://doi.org/10.1016/j.wace.2021.100391
4668. How does soil water content influence permafrost evolution on the Qinghai-Tibet Plateau under climate warming? F. Ji et al. https://doi.org/10.1088/1748-9326/ac6c9a
4669. THE ASSESSMENT OF THE IMPACT OF CLIMATE CHANGE ON TYPHOONS USING A SLAB-OCEAN COUPLED ATMOSPHERIC GLOBAL CIRCULATION MODEL WITH MONTH-FIXED EVENT ATTRIBUTION EXPERIMENTS T. OKADA et al. https://doi.org/10.2208/jscejj.23-17168
4670. Range shifts of Vigna crop wild relatives under a climate change scenario in Mozambique M. Brilhante et al. https://doi.org/10.1007/s40808-025-02493-x
4671. Filter‐feeding gelatinous macrozooplankton response to climate change and implications for benthic food supply and global carbon cycle C. Clerc et al. https://doi.org/10.1111/gcb.16942
4672. Soil resilience to degradation in Poland by 2050 under climate and land use change J. Coblinski et al. https://doi.org/10.1016/j.catena.2025.109463
4673. The effect of experiment conditioning on estimates of human influence on extreme weather D. Stone et al. https://doi.org/10.1016/j.wace.2022.100427
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4675. Projected Changes and Uncertainty of Cold Surges Over Northern China Using the Cmip6 Weighted Multi-Model Ensemble S. Song & X. Yan https://doi.org/10.2139/ssrn.4074639
4676. Improved atmospheric circulation over Europe by the new generation of CMIP6 earth system models J. Fernandez-Granja et al. https://doi.org/10.1007/s00382-021-05652-9
4677. The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale M. Roberts et al. https://doi.org/10.1175/BAMS-D-15-00320.1
4678. 2020/21 record-breaking cold waves in east of China enhanced by the ‘Warm Arctic-Cold Siberia’ pattern Y. Zhang et al. https://doi.org/10.1088/1748-9326/ac1f46
4679. Comment on “Advanced Testing of Low, Medium, and High ECS CMIP6 GCM Simulations Versus ERA5‐T2m” by N. Scafetta (2022) G. Schmidt et al. https://doi.org/10.1029/2022GL102530
4680. Beyond the 1.5°C planetary boundary: AI-forecast of Global Disease Burden and Health inequities H. Abdul Rahman et al. https://doi.org/10.1371/journal.pone.0354159
4681. Impact of the Asian–Pacific Oscillation on early autumn precipitation over Southeast China: CMIP6 evaluation and projection C. Xia et al. https://doi.org/10.1016/j.aosl.2023.100389
4682. Asian heat stress variations in a changing climate: Implications for disproportionate urban and rural population exposure P. Mohammad & Q. Weng https://doi.org/10.1016/j.habitatint.2025.103294
4683. Evaluation of the ALARO1-SFX (CY43T2) regional climate model over Belgium across different resolutions W. Dewettinck et al. https://doi.org/10.5194/gmd-19-7911-2026
4684. Linkage between the Asian-Pacific Oscillation and winter precipitation over southern China: CMIP6 simulation and projection Q. Fan & B. Zhou https://doi.org/10.1016/j.aosl.2023.100401
4685. Evaluation and selection of a set of CMIP6 GCMs for water resource modeling in the poorly gauged complex terrain of the Tana River basin in Kenya D. Mwendwa Wambua et al. https://doi.org/10.3178/hrl.18.87
4686. Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China S. Li et al. https://doi.org/10.3390/land14010025
4687. Streamflow projection under CMIP6 climate scenarios using a support vector regression: a case study of the Kurau River Basin of Northern Malaysia M. Nasir et al. https://doi.org/10.1007/s12665-024-11435-2
4688. Accelerated North Atlantic surface warming reshapes the Atlantic Multidecadal Variability D. Zanchettin & A. Rubino https://doi.org/10.1038/s43247-024-01804-x
4689. A Change in Climate State During a Pre‐Industrial Simulation of the CMIP6 Model HadGEM3 Driven by Deep Ocean Drift J. Ridley et al. https://doi.org/10.1029/2021GL097171
4690. Impacts of anthropogenic climate change on meteorological drought in China R. Dai et al. https://doi.org/10.3389/feart.2024.1369523
4691. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
4692. The global distribution and climate resilience of marine heterotrophic prokaryotes R. Heneghan et al. https://doi.org/10.1038/s41467-024-50635-z
4693. Improvement of Soil Moisture Simulation in Eurasia by the Beijing Climate Center Climate System Model from CMIP5 to CMIP6 Y. Sang et al. https://doi.org/10.1007/s00376-020-0167-7
4694. Integrated GIS, statistical modeling, and CMIP6-based assessment of groundwater irrigation quality in north-central Bangladesh for sustainable management M. Islam et al. https://doi.org/10.1016/j.rineng.2025.106496
4695. Causal effects of Indian Ocean Dipole on El Niño–Southern Oscillation during 1950–2014 based on high-resolution models and reanalysis data T. Le et al. https://doi.org/10.1088/1748-9326/abb96d
4696. Regime shifts of AMOC-sea surface temperature relationship Y. Fan et al. https://doi.org/10.1038/s41467-026-76149-4
4697. An Integrative Framework for Assessment of Urban Flood Response to Changing Climate L. Pal et al. https://doi.org/10.1029/2023WR034466
4698. Land-use change causes rapid carbon losses in Congo Basin peatlands across climate scenarios, whereas the effects of climate change alone are uncertain D. Young et al. https://doi.org/10.1098/rstb.2024.0486
4699. Evaluating the combined impact of climate change and urbanization patterns on flood risks S. Ali et al. https://doi.org/10.1088/2631-8695/ae1084
4700. Brief communication: A roadmap towards credible projections of ice sheet contribution to sea level A. Aschwanden et al. https://doi.org/10.5194/tc-15-5705-2021
4701. Variable temperature thresholds of melt pond formation on Antarctic ice shelves J. van Wessem et al. https://doi.org/10.1038/s41558-022-01577-1
4702. Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al. https://doi.org/10.5194/bg-17-6115-2020
4703. Three-stage response of the equatorial Pacific to CO₂ forcing controlled by shifting trade winds E. Moreno-Chamarro et al. https://doi.org/10.1038/s41612-026-01391-y
4704. Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. https://doi.org/10.1038/s43247-024-01257-2
4705. Uncertainty of the Future Changes in Interannual Precipitation Variability under Global Warming Based on Single-Model Initial-Condition Large Ensembles and CMIP6 J. Zhang & P. Huang https://doi.org/10.1007/s00376-025-4406-9
4706. Description and evaluation of the UKCA stratosphere–troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1 A. Archibald et al. https://doi.org/10.5194/gmd-13-1223-2020
4707. Comparing future projections of warm spells and their characteristics under climate change and stratospheric aerosol injection in CESM2 and UKESM1 I. Glade et al. https://doi.org/10.3389/fclim.2025.1581305
4708. Attribution and projection of February extreme rainfall events in Southeast Africa D. Lee et al. https://doi.org/10.1088/1748-9326/aea7b9
4709. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. https://doi.org/10.1029/2019MS001946
4710. Past warming trend constrains future warming in CMIP6 models K. Tokarska et al. https://doi.org/10.1126/sciadv.aaz9549
4711. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. https://doi.org/10.1038/s41612-021-00203-9
4712.  Restoration and coral adaptation delay, but do not prevent, climate-driven reef framework erosion of an inshore site in the Florida Keys A. Webb et al. https://doi.org/10.1038/s41598-022-26930-4
4713. Machine-Learning Multi-Model Integration for Future Precipitation and Water Management Implications in the Yangtze River Basin L. Yang et al. https://doi.org/10.3390/w18131536
4714. Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models X. Li et al. https://doi.org/10.1002/2017JD028161
4715. Uncertainties in evapotranspiration projections associated with estimation methods and CMIP6 GCMs for South Korea Y. Song et al. https://doi.org/10.1016/j.scitotenv.2022.153953
4716. Performance of bias corrected monthly CMIP6 climate projections with different reference period data in Turkey S. Oruc https://doi.org/10.1007/s11600-022-00731-9
4717. Climate trend analysis in the ramis catchment, upper wabi shebelle basin, Ethiopia, using the CMIP6 dataset A. Tadase https://doi.org/10.1016/j.jafrearsci.2024.105347
4718. Incorporating temperature-dependent fish bioenergetics into a Narragansett Bay food web model M. Heinichen et al. https://doi.org/10.1016/j.ecolmodel.2022.109911
4719. A Geodetic-Data-Calibrated Ice Flow Model to Simulate Historical and Future Response of Glaciers in Southeastern Tibetan Plateau L. Xiao et al. https://doi.org/10.3390/rs16030522
4720. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. https://doi.org/10.3390/w13223158
4721. Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change K. Naderi et al. https://doi.org/10.1007/s11269-022-03186-1
4722. Predicting water ecosystem services under prospective climate and land-use change scenarios in typical watersheds distributed across China C. Yu et al. https://doi.org/10.1016/j.ecolind.2024.111744
4723. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. https://doi.org/10.5194/bg-20-3301-2023
4724. Potential habitat and productivity loss of Populus deltoides industrial forest plantations due to global warming J. Sun et al. https://doi.org/10.1016/j.foreco.2021.119474
4725. Relationship between south asian summer monsoon and ENSO primarily modulated by ENSO intensity based on two super large ensembles Z. Zhou et al. https://doi.org/10.1007/s00382-024-07450-5
4726. Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. https://doi.org/10.1038/s41598-024-84527-5
4727. Machine-learning-enhanced multi-model climate ensemble for future rainfall, temperature and drought assessment in the semi-arid Papagni River Basin, India C. Naresh & A. Mathew https://doi.org/10.1016/j.pce.2026.104555
4728. The implications of overshooting 1.5 °C on Earth system tipping elements—a review P. Ritchie et al. https://doi.org/10.1088/1748-9326/ae3cad
4729. Mitigation needed to avoid unprecedented multi-decadal North Atlantic Oscillation magnitude D. Smith et al. https://doi.org/10.1038/s41558-025-02277-2
4730. CMIP6-driven high-resolution WRF downscaling over the Western Himalaya: elevation-dependent structure of mean and extreme climate K. Sharma et al. https://doi.org/10.1007/s00382-026-08265-2
4731. Drought characteristics in Mediterranean under future climate change Y. Essa et al. https://doi.org/10.1038/s41612-023-00458-4
4732. Decoupling of Arctic variability from the North Pacific in a warmer climate S. Jahfer et al. https://doi.org/10.1038/s41612-023-00480-6
4733. Application of an integrated catchment-lake model approach for simulating effects of climate change on lake inputs and biogeochemistry I. Jiménez-Navarro et al. https://doi.org/10.1016/j.scitotenv.2023.163946
4734. Land degradation neutrality model and decision support system based on land use/land cover and climate change in the TR21 Thrace Region/Türkiye B. Alturk et al. https://doi.org/10.1007/s10668-026-07458-3
4735. Modelling and validation of the spatial distribution of suitable habitats for the recruitment of invasive plants on climate change scenarios: An approach from the regeneration niche F. Guerra-Coss et al. https://doi.org/10.1016/j.scitotenv.2021.146007
4736. Assessment of future water availability and seasonal patterns of dry seasons under climate change in Cidanau Watershed Banten Province, Indonesia S. Saputra et al. https://doi.org/10.1016/j.ejrh.2025.102344
4737. Mechanisms of model bias impacting responses of the Atlantic cold tongue to greenhouse warming Y. Yang et al. https://doi.org/10.1088/1748-9326/ad2165
4738. Understanding AMOC stability: the North Atlantic Hosing Model Intercomparison Project L. Jackson et al. https://doi.org/10.5194/gmd-16-1975-2023
4739. Comparison of Indian Ocean warming simulated by CMIP5 and CMIP6 models J. LI & J. SU https://doi.org/10.1080/16742834.2020.1824546
4740. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
4741. FUTURE SEA-ICE PROJECTIONS BY USING CESM2 WITH CONFIGURATION OF THE CMIP6-OMIP2 EXPERIMENT Y. OGURA & R. NAKAMURA https://doi.org/10.2208/jscejj.24-18080
4742. Variations in Projections of Precipitations of CMIP6 Global Climate Models under SSP 2–45 and SSP 5–85 M. Shiru et al. https://doi.org/10.1007/s12205-022-0149-7
4743. Global Carbon Budget 2021 P. Friedlingstein et al. https://doi.org/10.5194/essd-14-1917-2022
4744. Climate change in pest risk assessment: Interpretation and communication of uncertainties C. Bradshaw et al. https://doi.org/10.1111/epp.12985
4745. Representation of Modes of Variability in Six U.S. Climate Models C. Orbe et al. https://doi.org/10.1175/JCLI-D-19-0956.1
4746. Projections of the timing of extreme temperature events in the future, China X. Xu et al. https://doi.org/10.1007/s00382-026-08358-y
4747. Evaluating the Eastward Propagation of the MJO in CMIP5 and CMIP6 Models Based on a Variety of Diagnostics Y. Li et al. https://doi.org/10.1175/JCLI-D-21-0378.1
4748. Dinâmica climática e biogeográfica do Brasil no Último Máximo Glacial: o estado da arte D. ARRUDA & C. SCHAEFER https://doi.org/10.1590/s0103-4014.2020.3498.012
4749. A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model G. Chen & Z. Ji https://doi.org/10.3390/su16083339
4750. Process Drivers, Inter-Model Spread, and the Path Forward: A Review of Amplified Arctic Warming P. Taylor et al. https://doi.org/10.3389/feart.2021.758361
4751. Can low-resolution CMIP6 ScenarioMIP models provide insight into future European post-tropical-cyclone risk? E. Sainsbury et al. https://doi.org/10.5194/wcd-3-1359-2022
4752. Effective radiative forcing and adjustments in CMIP6 models C. Smith et al. https://doi.org/10.5194/acp-20-9591-2020
4753. Robustness of BSISO and air-sea interactions in the CMIP (Phase-6) models over the North Indian Ocean G. Konda & N. Vissa https://doi.org/10.1016/j.dynatmoce.2022.101316
4754. Hydrological change trends of the Surkhob and Khingov river basins in the Vakhsh River of Tajikistan under climate change N. FARHOD et al. https://doi.org/10.1016/j.regsus.2026.100300
4755. Datasets and protocols for including anomalous freshwater from melting ice sheets in climate simulations G. Schmidt et al. https://doi.org/10.5194/gmd-18-8333-2025
4756. Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change L. Jackson et al. https://doi.org/10.1029/2022GL098808
4757. Perspective on measurements and modeling of Earth’s climate G. Coppa & L. Massano https://doi.org/10.1088/1361-6501/ae5c28
4758. High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment A. Paxian et al. https://doi.org/10.3389/fclim.2022.867814
4759. Exacerbated summer European warming not captured by climate models neglecting long-term aerosol changes D. Schumacher et al. https://doi.org/10.1038/s43247-024-01332-8
4760. Dependence of tropical cyclone seeds and climate sensitivity on tropical cloud response T. Hsieh et al. https://doi.org/10.1126/sciadv.adi2779
4761. Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area S. Halder & U. Saha https://doi.org/10.1061/JSWBAY.0000954
4762. The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2 D. Swales et al. https://doi.org/10.5194/gmd-11-77-2018
4763. Apportionment of the Pre‐Industrial to Present‐Day Climate Forcing by Methane Using UKESM1: The Role of the Cloud Radiative Effect F. O’Connor et al. https://doi.org/10.1029/2022MS002991
4764. A westward shift of heatwave hotspots caused by warming-enhanced land–air coupling K. Zhang et al. https://doi.org/10.1038/s41558-025-02302-4
4765. Evaluations of the sixth phase of Coupled Model Intercomparison Project model performance on precipitation over Southeast Asia based on the moisture budget S. Liu et al. https://doi.org/10.1002/joc.7631
4766. Climate models need more frequent releases of input data — here’s how to do it V. Naik et al. https://doi.org/10.1038/d41586-025-02642-3
4767. Integrated impact assessment of climate change and hydropower operation on streamflow and inundation in the lower Mekong Basin S. Ly et al. https://doi.org/10.1186/s40645-023-00586-8
4768. Assessing the robustness and implications of econometric estimates of climate sensitivity T. Storelvmo et al. https://doi.org/10.1088/1748-9326/adabfc
4769. Impacts of ENSO and Madden–Julian oscillation on the genesis of tropical cyclones simulated by general circulation models and compared to observations J. Shin & S. Park https://doi.org/10.1088/1748-9326/ab7466
4770. METEORv1.0.1: a novel framework for emulating multi-timescale regional climate responses M. Sandstad et al. https://doi.org/10.5194/gmd-18-8269-2025
4771. Potential impact of climate change on heatwaves at the urban scale: An evaluation in Valencia, Spain A. Fernandez-Garza et al. https://doi.org/10.1016/j.uclim.2025.102681
4772. Understanding Future Increases in Precipitation Extremes in Global Land Monsoon Regions M. Chang et al. https://doi.org/10.1175/JCLI-D-21-0409.1
4773. Offshore wave and wind energy development in the Southern Hemisphere will remain optimal between 20°E and 180°E by 2100 X. Zhao et al. https://doi.org/10.1038/s43247-025-02437-4
4774. Assessment of the impacts of climat change on water supply system pipe failures X. Fan et al. https://doi.org/10.1038/s41598-023-33548-7
4775. Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm A. Sharghi et al. https://doi.org/10.1016/j.envsoft.2024.106264
4776. U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies S. Du & R. Zhang https://doi.org/10.1007/s00376-023-3179-2
4777. The future Barents Sea—A synthesis of physical, biogeochemical, and ecological changes toward 2050 and 2100 M. Årthun et al. https://doi.org/10.1525/elementa.2024.00046
4778. Space-Time Variability of Maximum Daily Rainfall in Piura River Basin in Peru Related to El Niño Occurrence M. Farias de Reyes et al. https://doi.org/10.3390/w16233452
4779. Evaluating the performance of CMIP6 models in simulating Southern Ocean biogeochemistry M. Cheng et al. https://doi.org/10.5194/bg-22-7269-2025
4780. How might climate change affect river flows across West Africa? P. Rameshwaran et al. https://doi.org/10.1007/s10584-021-03256-0
4781. Tailored Forecasts Can Predict Extreme Climate Informing Proactive Interventions in East Africa C. Funk et al. https://doi.org/10.1029/2023EF003524
4782. Understanding Models' Global Sea Surface Temperature Bias in Mean State: From CMIP5 to CMIP6 Q. Zhang et al. https://doi.org/10.1029/2022GL100888
4783. A neural network-based adaptive cut-off approach to normality testing for dependent data M. Kim et al. https://doi.org/10.1007/s11222-024-10551-0
4784. A multi-scenario ensemble approach incorporating stepwise cluster analysis to reduce uncertainty in large-scale watershed precipitation projections: a case study of Pearl River Basin, South China Z. Qi et al. https://doi.org/10.1007/s11356-024-35013-y
4785. Enhanced influence of tropical Atlantic variability on East Asian summer monsoon in warming climate S. Chen et al. https://doi.org/10.59717/j.xinn-geo.2026.100207
4786. A scalable deep learning framework for daily precipitation downscaling: architecture, accuracy, and adaptability X. Liu et al. https://doi.org/10.2166/wcc.2025.293
4787. Historical and future variation of soil organic carbon in China Z. Zhang et al. https://doi.org/10.1016/j.geoderma.2023.116557
4788. A framework for assessing uncertainties in drought projections under climate change: Insights from CMIP6 models O. Zabihi et al. https://doi.org/10.1016/j.scitotenv.2025.179679
4789. Future changes of summer monsoon rainfall and temperature over Bangladesh using 27 CMIP6 models A. Bhattacharjee et al. https://doi.org/10.1080/10106049.2023.2285342
4790. Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2‐CISM2 Coupled Climate–Ice Sheet Model A. Sommers et al. https://doi.org/10.1029/2021PA004272
4791. Summertime Rossby waves in climate models: substantial biases in surface imprint associated with small biases in upper-level circulation F. Luo et al. https://doi.org/10.5194/wcd-3-905-2022
4792. Dynamic spatiotemporal modeling of a habitat‐defining plant species to support wildlife management at regional scales A. Tredennick et al. https://doi.org/10.1002/ecs2.4534
4793. Decadal predictions of global temperatures and extremes with NUIST-CFS1.3 Y. Guo et al. https://doi.org/10.1007/s00382-026-08238-5
4794. Urbanization-Driven Water Demand Outpacing Climate-Induced Supply Gains in Xiong’an New Area: A Coupled SD-PLUS-InVEST Assessment X. Dong et al. https://doi.org/10.3390/su18125870
4795. Intermittent Behavior in the AMOC‐AMV Relationship A. Bellucci et al. https://doi.org/10.1029/2022GL098771
4796. A Novel Initialization Technique for Decadal Climate Predictions D. Volpi et al. https://doi.org/10.3389/fclim.2021.681127
4797. Role of ocean coupling in the weakening of the extratropical storm tracks from Arctic sea ice loss A. Audette & P. Kushner https://doi.org/10.1088/2752-5295/adc828
4798. Simulation of the dipole pattern of summer precipitation over the Tibetan Plateau by CMIP6 models W. Shang et al. https://doi.org/10.1088/1748-9326/abd0ac
4799. Paleoclimate proxy records suggest reduced tropical Pacific zonal asymmetry under sustained global warming E. Chung et al. https://doi.org/10.1038/s43247-025-02039-0
4800. Multifidelity uncertainty quantification for ice sheet simulations N. Aretz et al. https://doi.org/10.1007/s10596-024-10329-3
4801. Early or delayed Northern Hemisphere warming driven by the AMOC in a net-zero CO2 world Y. Lee et al. https://doi.org/10.1038/s41612-025-01165-y
4802. Framing agricultural climate risks for policy action: insights from impact chain assessments in five European regions J. Ihrfors et al. https://doi.org/10.3389/fclim.2026.1717714
4803. Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution J. Liang et al. https://doi.org/10.1007/s00382-021-06033-y
4804. Framework for global emulation of extreme precipitation along global warming trajectories L. Pierini et al. https://doi.org/10.1088/1748-9326/ae5fad
4805. How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity? Y. Liu et al. https://doi.org/10.1007/s00376-022-1381-2
4806. Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective Y. Xu et al. https://doi.org/10.1016/j.agwat.2021.106849
4807. Simulations of the North Tropical Atlantic Mode–ENSO Connection in CMIP5 and CMIP6 Models Q. Tian et al. https://doi.org/10.1029/2023JD039018
4808. Opportunities and challenges for Canada’s mariculture under climate change: a regional and sectoral outlook M. Oyinlola et al. https://doi.org/10.1139/facets-2025-0163
4809. Evaluation of two versions of the IPSL-EPOC decadal prediction systems D. Swingedouw et al. https://doi.org/10.3389/fclim.2026.1803256
4810. Carbon Storage Response to Land Use/Land Cover Changes and SSP‐RCP Scenarios Simulation: A Case Study in Yunnan Province, China J. Liu et al. https://doi.org/10.1002/ece3.70780
4811. Modeling hydrological responses and best management practices for resilient watershed management under CMIP6 climate and land use scenarios in the Gidabo watershed, Ethiopia D. Dogiso et al. https://doi.org/10.1007/s43621-026-03753-1
4812. Projected expansion of hottest climate zones over Africa during the mid and late 21st century A. Dajuma et al. https://doi.org/10.1088/2752-5295/acc08a
4813. Assessment of Relationship between Climate Change, Drought, and Land Use and Land Cover Changes in a Semi-Mountainous Area of the Vietnamese Mekong Delta T. Ty et al. https://doi.org/10.3390/land11122175
4814. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg https://doi.org/10.5194/gmd-16-6433-2023
4815. CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project B. Jia et al. https://doi.org/10.1007/s00376-021-0293-x
4816. Prediction of Future Drought Characteristics Over the Southwest Turkey Using CMIP6 Models E. Şener & A. Davraz https://doi.org/10.1007/s00024-025-03757-4
4817. The Brewer–Dobson circulation in CMIP6 M. Abalos et al. https://doi.org/10.5194/acp-21-13571-2021
4818. Changes of Water Vapor Budget over East Asia in Response to 4xCO2 Concentration Forcing Z. Shen et al. https://doi.org/10.3390/su15010313
4819. Experimental investigation on cooling performance in high radiative temperature of energy-storage radiative cooling panel F. Wang et al. https://doi.org/10.1016/j.energy.2025.137118
4820. Assessment of CMIP6 models' performance in simulating present-day climate in Brazil M. Firpo et al. https://doi.org/10.3389/fclim.2022.948499
4821. Detection and attribution of extreme precipitation changes over India S. Chaithra et al. https://doi.org/10.1088/1748-9326/ae5c23
4822. Predicting global change impact on invasive alien species’ distribution: case study for variable squirrel (Callosciurus finlaysonii) in Italy V. Paturzo et al. https://doi.org/10.1007/s10530-025-03637-x
4823. The response of mesospheric H2O and CO to solar irradiance variability in models and observations A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-21-201-2021
4824. Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. https://doi.org/10.1029/2021MS002826
4825. Seasonally distinct contributions of greenhouse gases and anthropogenic aerosols to historical changes in Arctic moisture budget H. Choi et al. https://doi.org/10.1038/s41612-023-00518-9
4826. Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. https://doi.org/10.5194/acp-20-12905-2020
4827. Future projections of summer Tibetan Plateau temperature based on the combined influence of sea surface temperature and soil moisture T. Zhang et al. https://doi.org/10.1038/s41612-026-01428-2
4828. Decadal predictions outperform climate projections in forecasting Mediterranean wintertime precipitation D. Nicolì et al. https://doi.org/10.1088/1748-9326/adb59e
4829. Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. https://doi.org/10.1029/2022GL099012
4830. Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models X. Jiang et al. https://doi.org/10.1038/s41467-023-41360-0
4831. Constraining near-term projections of the South Asian high and Afro-Asian summer monsoon rainfall D. Zhang et al. https://doi.org/10.1038/s41467-026-74510-1
4832. Assessing future offshore wind energy potential in proposed Australian offshore zones under changing climate conditions X. Costoya et al. https://doi.org/10.1016/j.egyr.2026.109758
4833. Evaluation of extreme precipitation events as simulated by CMIP6 models over Central Africa: Spatial patterns C. Komelo et al. https://doi.org/10.1007/s00704-024-05198-w
4834. CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2 B. An et al. https://doi.org/10.1007/s00376-022-2030-5
4835. Reconstruction of Forest and Grassland Cover Changes in the Hehuang Valley, Northeastern Margin of the Qinghai–Xizang Plateau, over the Past Two Millennia Y. Wang et al. https://doi.org/10.3390/land15081475
4836. Climate change impact on flood inundation along the downstream reach of the Humber River basin S. Sarchani & I. Tsanis https://doi.org/10.1016/j.ejrh.2024.101829
4837. Concurrent calculation of radiative transfer in the atmospheric simulation in ECHAM-6.3.05p2 M. Heidari et al. https://doi.org/10.5194/gmd-14-7439-2021
4838. Surface hazards in North-west Europe following sudden stratospheric warming events R. Hall et al. https://doi.org/10.1088/1748-9326/acd0c3
4839. Climate change impacts on long-term field experiments in Germany C. Donmez et al. https://doi.org/10.1016/j.agsy.2022.103578
4840. Greenhouse warming-induced changes in Indian summer monsoon-ENSO teleconnections as modulated by the North Tropical Atlantic A. Aswale et al. https://doi.org/10.1007/s00382-024-07454-1
4841. Groundwater on the brink: machine learning forecasts under CMIP6 climate trajectories in Kermanshah Plain K. Soltani et al. https://doi.org/10.1007/s13201-026-02878-y
4842. Impact of Grids and Dynamical Cores in CESM2.2 on the Surface Mass Balance of the Greenland Ice Sheet A. Herrington et al. https://doi.org/10.1029/2022MS003192
4843. Prediction of basin-scale river channel migration based on landscape evolution numerical simulation J. Wu et al. https://doi.org/10.5194/hess-30-1563-2026
4844. Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality C. Blattert et al. https://doi.org/10.1016/j.ecolind.2024.112154
4845. Attribution of the 2021 record-breaking compound drought-heatwave extreme in Central Asia to anthropogenic warming, atmospheric circulation, and NAO L. Li et al. https://doi.org/10.1016/j.jhydrol.2026.136282
4846. Uncertainty maps for model-based global climate classification systems A. Navarro et al. https://doi.org/10.1038/s41597-025-04387-0
4847. Evaluation of CMIP6 models for simulations of surplus/deficit summer monsoon conditions over India G. Konda & N. Vissa https://doi.org/10.1007/s00382-022-06367-1
4848. Integrated Assessment of Land use and Climate Change Impacts on Hydrology: A Scenario-Based SWAT Study of the Kunderu Basin, India G. Sayanth et al. https://doi.org/10.1007/s41748-026-01256-7
4849. A combined estimate of global temperature P. Craigmile & P. Guttorp https://doi.org/10.1002/env.2706
4850. Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective V. de Padua & K. Ahn https://doi.org/10.1016/j.jhydrol.2024.132102
4851. Improving large-scale river routing models with ESA long-term CCI discharge data assimilation: advancing accuracy for climate studies M. Sadki et al. https://doi.org/10.5194/hess-30-6159-2026
4852. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez https://doi.org/10.3390/cli11090186
4853. Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. https://doi.org/10.1007/s40726-025-00382-6
4854. Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models Y. Wang et al. https://doi.org/10.1002/joc.8064
4855. Untangling causality in midlatitude aerosol–cloud adjustments D. McCoy et al. https://doi.org/10.5194/acp-20-4085-2020
4856. The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6 T. Wu et al. https://doi.org/10.5194/gmd-12-1573-2019
4857. Environmental sustainability and nutritional quality: addressing global food and nutrition insecurity in a post-pandemic world Y. Cao et al. https://doi.org/10.3389/fnut.2025.1703994
4858. Diagnosing the Atlantic Meridional Overturning Circulation in density space is critical in warmer climates F. Oliveira Matos et al. https://doi.org/10.5194/os-21-2895-2025
4859. Is natural variability really natural? The case of Atlantic Multidecadal Oscillation investigated by a neural network model A. Pasini et al. https://doi.org/10.1007/s00704-022-04207-0
4860. Extreme events representation in CMCC-CM2 standard and high-resolution general circulation models E. Scoccimarro et al. https://doi.org/10.5194/gmd-15-1841-2022
4861. Multi-Model Ensemble Projection of Precipitation Changes over China under Global Warming of 1.5 and 2°C with Consideration of Model Performance and Independence T. Li et al. https://doi.org/10.1007/s13351-021-0067-5
4862. Decreased Indian Ocean Dipole variability under prolonged greenhouse warming S. Kim et al. https://doi.org/10.1038/s41467-024-47276-7
4863. Diverging responses of high-latitude CO2 and CH4 emissions in idealized climate change scenarios P. de Vrese et al. https://doi.org/10.5194/tc-15-1097-2021
4864. AR6 scenarios database: an assessment of current practices and future recommendations G. Peters et al. https://doi.org/10.1038/s44168-023-00050-9
4865. Bias-corrected NESM3 global dataset for dynamical downscaling under 1.5 °C and 2 °C global warming scenarios M. Zhang et al. https://doi.org/10.1038/s41597-024-03224-0
4866. Multi-purpose System for Modeling and Regional Climate Projections in the Arctic Macroregion (MSMRCP-A) I. Shkolnik et al. https://doi.org/10.3103/S1068373925090079
4867. Intensification of Very Wet Monsoon Seasons in India Under Global Warming A. Katzenberger et al. https://doi.org/10.1029/2022GL098856
4868. The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification D. Smith et al. https://doi.org/10.5194/gmd-12-1139-2019
4869. Integrating Field Observations, Remote Sensing and Modelling for the Assessment of Bhilangana Lake, Central Himalaya, India P. Patidar et al. https://doi.org/10.1002/hyp.70308
4870. An intensification of surface Earth’s energy imbalance since the late 20th century X. Li et al. https://doi.org/10.1038/s43247-024-01802-z
4871. Climatological comparison of continuous and reinitialized dynamical downscaling over the North Atlantic region B. Thomas et al. https://doi.org/10.1016/j.cliser.2026.100664
4872. Enhancing evapotranspiration estimates under climate change: the role of CO2 physiological feedback and CMIP6 scenarios X. Yang et al. https://doi.org/10.5194/hess-29-5645-2025
4873. Inter‐model Spread of the Changes in the East Asian Summer Monsoon System in CMIP5/6 Models S. Zhou et al. https://doi.org/10.1029/2020JD033016
4874. Evaluating surface eddy properties in coupled climate simulations with ‘eddy-present’ and ‘eddy-rich’ ocean resolution S. Moreton et al. https://doi.org/10.1016/j.ocemod.2020.101567
4875. What controls the future phytoplankton change over the Yellow and East China Seas under global warming? D. Lee et al. https://doi.org/10.3389/fmars.2023.1010341
4876. CMIP6 near-term and long-term projections of Eurasian winter cooling trend and cold extremes X. Xu et al. https://doi.org/10.1088/1748-9326/ad7307
4877. Investigating the typicality of the dynamics leading to extreme temperatures in the IPSL-CM6A-LR model R. Noyelle et al. https://doi.org/10.1007/s00382-023-06967-5
4878. Different responses of extreme and mean precipitation to land use and land cover changes M. Zhang et al. https://doi.org/10.1038/s41612-025-01049-1
4879. Assessment of the Coupled Model Intercomparison Project phase 6 (CMIP6) Model performance in simulating the spatial-temporal variation of aerosol optical depth over Eastern Central China X. Li et al. https://doi.org/10.1016/j.atmosres.2021.105747
4880. Evaluation of extreme precipitation indices over West Africa in CMIP6 models A. Faye & A. Akinsanola https://doi.org/10.1007/s00382-021-05942-2
4881. Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century M. Gidden et al. https://doi.org/10.5194/gmd-12-1443-2019
4882. Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming J. Vial et al. https://doi.org/10.1073/pnas.2209805120
4883. Climate variability introduces uncertainty into future emissions pathways J. Larson et al. https://doi.org/10.1088/1748-9326/ae8f5a
4884. Bayesian estimates for changes of the Russian river runoff in the 21st century as based on the CMIP6 model ensemble simulations А. Medvedev et al. https://doi.org/10.31857/S0002351524020021
4885. The effect of ash, water vapor, and heterogeneous chemistry on the evolution of a Pinatubo-size volcanic cloud M. Abdelkader et al. https://doi.org/10.5194/acp-23-471-2023
4886. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections G. Ferreira et al. https://doi.org/10.3390/cli11080166
4887. Divergent Regional Climate Consequences of Maintaining Current Irrigation Rates in the 21st Century B. Cook et al. https://doi.org/10.1029/2019JD031814
4888. Global warming increases risk from compound dry‐hot events to human and agricultural systems Y. Zhang et al. https://doi.org/10.1002/joc.8229
4889. Using ocean surface paleo-density to evaluate PMIP3 and PMIP4 Last Glacial Maximum climate simulations H. Barathieu et al. https://doi.org/10.5194/cp-22-1803-2026
4890. Rain use efficiency gradients across Australian ecosystems Z. Liu et al. https://doi.org/10.1016/j.scitotenv.2024.173101
4891. Sea Levels Dynamical Downscaling and Climate Change Projections at the Uruguayan Coast M. Jackson et al. https://doi.org/10.3389/fmars.2022.846396
4892. The future of hot and dry events in the breadbasket regions of maize V. Dietz et al. https://doi.org/10.1088/1748-9326/adda63
4893. Shifting hotspot of tropical cyclone clusters in a warming climate Z. Fu et al. https://doi.org/10.1038/s41558-025-02397-9
4894. An evolving Coupled Model Intercomparison Project phase 7 (CMIP7) and Fast Track in support of future climate assessment J. Dunne et al. https://doi.org/10.5194/gmd-18-6671-2025
4895. Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors Y. Zhao et al. https://doi.org/10.1016/j.ejrh.2025.102492
4896. Anthropogenic Weakening of the Atmospheric Circulation During the Satellite Era S. Shrestha & B. Soden https://doi.org/10.1029/2023GL104784
4897. The 2021 heatwave was less rare in Western Canada than previously thought E. Malinina & N. Gillett https://doi.org/10.1016/j.wace.2024.100642
4898. Projected changes in African easterly wave activity due to climate change A. Akinsanola et al. https://doi.org/10.1038/s43247-024-01981-9
4899. Understanding Future Change of Global Monsoons Projected by CMIP6 Models B. Wang et al. https://doi.org/10.1175/JCLI-D-19-0993.1
4900. Regional warming from urbanization is disproportionate to urban expansion rate S. Liu et al. https://doi.org/10.1016/j.oneear.2025.101234
4901. Future changes in runoff over western and central Europe: disentangling the hydrological behavior of CMIP6 models J. Deman & J. Boé https://doi.org/10.5194/esd-16-1409-2025
4902. Habitat Suitability Assessment of Milu (Elaphurus davidianus) in Coastal Wetlands of Jiangsu Province Based on Species Distribution Models F. Sheng et al. https://doi.org/10.3390/ani16121871
4903. Evaluating adaptive planting dates and elevated CO2 impacts on soybean yields under future climate scenarios M. Singh et al. https://doi.org/10.1016/j.csag.2025.100083
4904. Drivers to recent springtime dust activity in East Asia N. Luo et al. https://doi.org/10.1016/j.gloplacha.2025.105184
4905. Climate change impact on the sea state conditions in the Mediterranean Sea under RCP and SSP emission scenarios L. Rusu https://doi.org/10.1016/j.renene.2025.122616
4906. Boreal tree species diversity increases with global warming but is reversed by extremes Y. Xi et al. https://doi.org/10.1038/s41477-024-01794-w
4907. Mechanisms of synoptic circulation patterns influencing winter/spring PM2.5 concentrations in South Korea J. Esther Kim & C. Yoo https://doi.org/10.1016/j.atmosenv.2024.121016
4908. Impact of stratospheric ozone intrusion on near-surface ozone in eastern China under Typhoon Lekima: A high-resolution CESM-MUSICA simulation analysis Y. Zhou et al. https://doi.org/10.1016/j.atmosres.2026.109232
4909. Transitions to new climates (TNCs) in the 21st century F. Giorgi & F. Raffaele https://doi.org/10.1088/1748-9326/ac71b7
4910. Assessment of Spatial–Temporal Variations of Soil Erosion in Hulunbuir Plateau from 2000 to 2050 J. Yuan et al. https://doi.org/10.3390/land12061214
4911. How virtuous are the bias corrected CMIP6 models in the simulation of heatwave over different meteorological subdivisions of India? S. Singh et al. https://doi.org/10.1016/j.uclim.2024.101936
4912. Natural sinks and sources of CO₂ and CH₄ in the atmosphere of Russian regions and their contribution to climate change in the 21st century evaluated with CMIP6 model ensemble S. Denisov et al. https://doi.org/10.31857/S0002351524020039
4913. HPAI drives a fourfold increase in adult gannet mortality which requires two decades recovery time J. Lane et al. https://doi.org/10.1016/j.biocon.2026.111887
4914. Increased high-temperature extremes and associated population exposure in Africa by the mid-21st century V. Iyakaremye et al. https://doi.org/10.1016/j.scitotenv.2021.148162
4915. A winner or a loser in climate change? Modelling the past, current, and future potential distributions of a rare charophyte species M. Brzozowski et al. https://doi.org/10.1016/j.gecco.2022.e02038
4916. Amplified surface warming in the south-west Pacific during the mid-Pliocene (3.3–3.0 Ma) and future implications G. Grant et al. https://doi.org/10.5194/cp-19-1359-2023
4917. Uncertainty in projected changes of Indian Summer Monsoon Rainfall by CMIP6 models K. Sooraj et al. https://doi.org/10.1016/j.atmosres.2025.108424
4918. The benefits of being smaller: Consistent pattern for climate-induced range shift and morphological difference of three falconiforme species A. Xu et al. https://doi.org/10.1016/j.avrs.2023.100079
4919. A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks X. Guo et al. https://doi.org/10.1002/gdj3.286
4920. Entropy theory-based performance appraisal of CMIP6 climate models in regional drought simulation over the Indus River basin: a multifactorial investigation A. Dubey et al. https://doi.org/10.1007/s11069-025-07684-4
4921. Targeting bias in algorithm optimization improves reconstructions of surface ocean pCO2 T. Heimdal et al. https://doi.org/10.1088/3049-4753/adddc3
4922. Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic D. Grosvenor & K. Carslaw https://doi.org/10.5194/acp-23-6743-2023
4923. Integrating Long Tide Gauge Records with Projection Modelling Outputs. A Case Study: New York P. Watson https://doi.org/10.3390/jmse5030034
4924. Pacific Decadal Oscillation Modulates the Relationship Between Pacific Meridional Mode and Tropical Cyclone Genesis in the Western North Pacific C. Wang et al. https://doi.org/10.1029/2022GL101710
4925. Absorbing Aerosol Choices Influences Precipitation Changes Across Future Scenarios I. McCoy et al. https://doi.org/10.1029/2022GL097717
4926. Neural general circulation models for weather and climate D. Kochkov et al. https://doi.org/10.1038/s41586-024-07744-y
4927. Evaluating climate extremes and their association with floods in the Baro Akobo River basin using CMIP6 and hydrological modelling S. Wondimu et al. https://doi.org/10.1007/s11069-025-07349-2
4928. Decadal change in deep-ocean dissolved oxygen in the North Atlantic Ocean and North Pacific Ocean H. Ruhl et al. https://doi.org/10.1016/j.dsr.2025.104534
4929. Future projections of the near-surface wind speed over eastern China based on CMIP5 datasets J. Zha et al. https://doi.org/10.1007/s00382-020-05118-4
4930. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. https://doi.org/10.1071/ES19035
4931. Projecting the evolutionary path of China’s photovoltaic potential using CMIP climate models F. Shuanglei et al. https://doi.org/10.1016/j.seta.2025.104783
4932. Influence of the Atlantic Multidecadal Oscillation on South American Atmosphere Dynamics and Precipitation J. Maksic et al. https://doi.org/10.3390/atmos13111778
4933. Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. https://doi.org/10.5194/essd-16-775-2024
4934. Change of boreal winter dominant ENSO teleconnection modulated by the East Asian westerly jet strength J. Mao & Z. Zhu https://doi.org/10.1007/s00382-024-07261-8
4935. Predicting Suitable Habitat for Glipa (Coleoptera: Mordellidae: Mordellinae) Under Current and Future Climates Using MaxEnt Modeling X. Su et al. https://doi.org/10.3390/insects16060642
4936. Dynamics and model representation of the boreal spring subseasonal variability over North America J. Hwang et al. https://doi.org/10.1007/s00382-025-07859-6
4937. Predicting the 2023/24 El Niño from a multi-scale and global perspective R. Hu et al. https://doi.org/10.1038/s43247-024-01867-w
4938. Predicting the Effects of Climate Change on Dengue Vector Densities in Southeast Asia through Process-Based Modeling L. Bonnin et al. https://doi.org/10.1289/EHP11068
4939. Assessment of the Climate Change Impact on Broiler Chickens in Northern Tunisia E. MN et al. https://doi.org/10.1590/1806-9061-2023-1846
4940. Projected changes in extreme streamflow and inland flooding in the mid-21st century over Northeastern United States using ensemble WRF-Hydro simulations S. Pal et al. https://doi.org/10.1016/j.ejrh.2023.101371
4941. Climate-carbon feedback tradeoff between Arctic and alpine permafrost under warming T. Bao et al. https://doi.org/10.1126/sciadv.adt8366
4942. A Sustainable Spatial Decision Support System (S-SDSS): A Systematic Review and Conceptual Integration of Ecological Network Optimization Frameworks T. Erbesler Ayaşlıgil https://doi.org/10.3390/land15060972
4943. Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al. https://doi.org/10.5194/gmd-18-4009-2025
4944. Mountaintop-Extinction Risk for Polylepis tarapacana: An Elevational-Ceiling and No-Escape Framework in the South-Central Andes J. Quille-Mamani et al. https://doi.org/10.3390/d18070423
4945. Future Projections of Extreme Precipitation Climate Indices over South America Based on CORDEX-CORE Multimodel Ensemble M. Reboita et al. https://doi.org/10.3390/atmos13091463
4946. Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport H. Singh et al. https://doi.org/10.1175/JCLI-D-21-0674.1
4947. On the implementation of external forcings in a regional climate model – a sensitivity study around the Samalas volcanic eruption in the Eastern Mediterranean/Middle East E. Hartmann et al. https://doi.org/10.5194/cp-21-1699-2025
4948. Spatiotemporal dynamics of historical and future drought conditions over the Arabian Peninsula from ERA5 and CMIP6 data M. Siddiqui et al. https://doi.org/10.1007/s12040-026-02890-5
4949. A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications W. Sharples et al. https://doi.org/10.5194/gmd-11-2875-2018
4950. Enhancing ENSO Prediction Skill by Combining Model‐Analog and Linear Inverse Models (MA‐LIM) J. Shin et al. https://doi.org/10.1029/2019GL085914
4951. Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective J. Xiong et al. https://doi.org/10.5194/hess-26-6457-2022
4952. Dynamically downscaled 1-km climate dataset for the Balearic Islands under present and future conditions Y. Bahuet-Bourret et al. https://doi.org/10.1038/s41597-026-07301-4
4953. Cropland Exposure to Extreme Dryness and Wetness in China Under Shared Socioeconomic Pathways R. Yang et al. https://doi.org/10.1002/joc.8715
4954. Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia D. Dogiso et al. https://doi.org/10.1038/s41598-025-02408-x
4955. Future projections for the Antarctic ice sheet until the year 2300 with a climate-index method R. Greve et al. https://doi.org/10.1017/jog.2023.41
4956. The dynamic and thermodynamic processes dominating the reduction of global land monsoon precipitation driven by anthropogenic aerosols emission T. Zhou et al. https://doi.org/10.1007/s11430-019-9613-9
4957. Habitat loss and climate change threaten the survival of endangered Dyckia (Bromeliaceae) species in the Caatinga domain A. Fagundes et al. https://doi.org/10.1007/s11258-025-01510-4
4958. Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios B. Cook et al. https://doi.org/10.1029/2019EF001461
4959. Potential Impacts on Ozone and Climate From a Proposed Fleet of Supersonic Aircraft J. Zhang et al. https://doi.org/10.1029/2022EF003409
4960. Resolving Orbital and Climate Keys of Earth and Extraterrestrial Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for Simulating the Climates of Rocky Planets M. Way et al. https://doi.org/10.3847/1538-4365/aa7a06
4961. Projected future changes in bomb cyclones by the HighResMIP-PRIMAVERA multimodel ensemble J. Gao et al. https://doi.org/10.1007/s00382-024-07327-7
4962. The role of internal variability and external forcing on the emergence of hot and dry compound extremes in the CESM2 large ensemble A. Dwyer et al. https://doi.org/10.3389/fclim.2026.1739394
4963. Evaluating Cloud Feedback Components in Observations and Their Representation in Climate Models L. Chao et al. https://doi.org/10.1029/2023JD039427
4964. Converged ensemble simulations of climate: possible trends in total solar irradiance cannot explain global warming alone G. Drótos et al. https://doi.org/10.3389/feart.2024.1240784
4965. Low-frequency variability of the Pacific Subtropical Cells as reproduced by coupled models and ocean reanalyses G. Graffino et al. https://doi.org/10.1007/s00382-021-05639-6
4966. From compound climate risks to adaptive governance: Sectoral economic exposure to heat-drought compound events in coastal China J. Chen et al. https://doi.org/10.1016/j.ocecoaman.2025.107755
4967. A time of emergence (TOE) analysis on the impact and uncertainty of global warming on Korean peak summers J. Ryu et al. https://doi.org/10.1007/s10584-024-03766-7
4968. Evaluating AMIP6 Models of the Indian Ocean–North America Teleconnection Associated with the Indian Ocean Basin Mode D. Zhang et al. https://doi.org/10.1007/s00376-026-6072-y
4969. Projected changes in heat wave characteristics over India N. C & K. Ramesh https://doi.org/10.1007/s10584-023-03618-w
4970. Northern high latitudes could become a net carbon source below 2 °C global warming R. Varney et al. https://doi.org/10.5194/esd-17-913-2026
4971. Sea Level Rise in Europe: A knowledge hub at the ocean–climate nexus N. Pinardi et al. https://doi.org/10.5194/sp-3-slre1-2-2024
4972. Development of stacking algorithm for bias-correcting the precipitation projections using a multi-model ensemble of CMIP6 GCMs in a semi-arid basin, India H. Shanmugam & V. Lakshmanan https://doi.org/10.1007/s00704-024-05321-x
4973. Projection of Climate Change and the Intensity of Exogenous Processes on the Territory of the Yamal–Nenets Autonomous District A. Kislov et al. https://doi.org/10.1134/S1028334X23600408
4974. Climatological features of future mesoscale convective systems in convection‐permitting climate models using CMIP6 and ERA5 in the central United States Y. Hwang et al. https://doi.org/10.1002/qj.4549
4975. Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis T. Tian et al. https://doi.org/10.1038/s43247-024-01276-z
4976. Diversity, distribution, and climate change impacts on tick fauna in Saudi Arabia: A comprehensive ecological niche modeling approach A. Alanazi et al. https://doi.org/10.1016/j.micpath.2025.108201
4977. Hysteresis of the El Niño–Southern Oscillation to CO 2 forcing C. Liu et al. https://doi.org/10.1126/sciadv.adh8442
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4979. Expansion of Coccidioidomycosis Endemic Regions in the United States in Response to Climate Change M. Gorris et al. https://doi.org/10.1029/2019GH000209
4980. Global risk of heat stress to cattle from climate change M. North et al. https://doi.org/10.1088/1748-9326/aceb79
4981. Evaluation of long‐term changes in precipitation over Bolivia based on observations and Coupled Model Intercomparison Project models S. Vicente‐Serrano et al. https://doi.org/10.1002/joc.7924
4982. Temperatura do ar em cenários futuros de mudanças climáticas no estado do Paraná C. Carpenedo et al. https://doi.org/10.55761/abclima.v34i20.17774
4983. Machine learning helps to strongly reduce future warming uncertainty C. Li et al. https://doi.org/10.1038/s41467-026-70205-9
4984. Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil B. Pereira et al. https://doi.org/10.1002/joc.7773
4985. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO2 Y. Qin et al. https://doi.org/10.1029/2021JD035460
4986. Impact of the Interdecadal Pacific Oscillation on tropical Indian Ocean sea surface height: An assessment from CMIP6 models V. Chinta et al. https://doi.org/10.1002/joc.8107
4987. Observed declines in leaf nitrogen explained by photosynthetic acclimation to CO 2 M. Bassiouni et al. https://doi.org/10.1073/pnas.2501958122
4988. The climate variability in global land precipitation in FGOALS-f3-L: A comparison between GMMIP and historical simulations Y. TANG et al. https://doi.org/10.1080/16742834.2020.1776088
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4990. Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. https://doi.org/10.1016/j.pce.2024.103693
4991. Accelerating increase in the duration of heatwaves under global warming C. Martinez-Villalobos et al. https://doi.org/10.1038/s41561-025-01737-w
4992. Human-induced temperature rise is driving Africa towards drought-prone climatic conditions B. Swain et al. https://doi.org/10.1038/s41598-025-34010-6
4993. Climate storylines of annual heatwave patterns in a 3 °C warmer continental USA N. Im & P. Keys https://doi.org/10.1088/1748-9326/adec03
4994. Emergent constraints on global soil moisture projections under climate change L. Yao et al. https://doi.org/10.1038/s43247-025-02024-7
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4996. Global cropland expansion amplifies the risk of compound dry and hot events under climate change H. Tu et al. https://doi.org/10.1016/j.jhydrol.2026.135995
4997. Hydrographic features in the Tropical Indian Ocean: Insights from coupled and uncoupled CMIP6 models B. Madhu et al. https://doi.org/10.1007/s10872-026-00788-w
4998. Land/ocean absorption dynamics and airborne projection of carbon dioxide under finite fossil-fuel reserves C. Novara et al. https://doi.org/10.1016/j.ifacol.2023.10.1018
4999. Assessment of future Antarctic amplification of surface temperature change under different Scenarios from CMIP6 J. Zhu et al. https://doi.org/10.1007/s11629-022-7646-5
5000. Effect of the equatorial Atlantic cold tongue biases on the projected changes of Indochina peninsula summer rainfall in a warmer world from CMIP5/6 models G. Wang & G. Li https://doi.org/10.1007/s00382-025-07950-y
5001. General Circulation Model Downscaling Using Interpolation—Machine Learning Model Combination—Case Study: Thailand C. Prathom & P. Champrasert https://doi.org/10.3390/su15129668
5002. Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product P. Craigmile & P. Guttorp https://doi.org/10.1029/2022EA002468
5003. Potential Impacts of Climate Change on South China Sea Wind Energy Resources Under CMIP6 Future Climate Projections Y. Zhuo & B. Hong https://doi.org/10.3390/en18205370
5004. Future projections of climate-driven tropical flowering phenology S. Graves et al. https://doi.org/10.1088/2515-7620/ae6d92
5005. Global warming accelerates soil heterotrophic respiration A. Nissan et al. https://doi.org/10.1038/s41467-023-38981-w
5006. Short Warm Distribution Tails Accelerate the Increase of Humid‐Heat Extremes Under Global Warming Y. Bekris et al. https://doi.org/10.1029/2022GL102164
5007. Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models J. Bock et al. https://doi.org/10.5194/bg-18-3823-2021
5008. Ocean‐Wave‐Atmosphere Interaction Processes in a Fully Coupled Modeling System L. Wu et al. https://doi.org/10.1029/2019MS001761
5009. Bayesian retro- and prospective assessment of CMIP6 climatology in Pan Third Pole region Z. Liu et al. https://doi.org/10.1007/s00382-022-06345-7
5010. Antarctic Peninsula warming triggers enhanced basal melt rates throughout West Antarctica M. Flexas et al. https://doi.org/10.1126/sciadv.abj9134
5011. Introducing NARCliM1.5: Evaluating the Performance of Regional Climate Projections for Southeast Australia for 1950–2100 N. Nishant et al. https://doi.org/10.1029/2020EF001833
5012. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.1
5013. Simulating soil C dynamics under intensive agricultural systems and climate change scenarios in the Matopiba region, Brazil R. Santos et al. https://doi.org/10.1016/j.jenvman.2023.119149
5014. A Review of Arctic Sea Ice Climate Predictability in Large-Scale Earth System Models M. Holland & E. Hunke https://doi.org/10.5670/oceanog.2022.113
5015. Comparing observed and modelled components of the Atlantic Meridional Overturning Circulation at 26° N H. Bryden et al. https://doi.org/10.5194/os-20-589-2024
5016. Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling N. Ghajarnia et al. https://doi.org/10.1029/2020WR029377
5017. Impact of Holocene environmental change on the evolutionary ecology of an Arctic top predator M. Westbury et al. https://doi.org/10.1126/sciadv.adf3326
5018. Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 H. Tatebe et al. https://doi.org/10.5194/gmd-12-2727-2019
5019. Flammulated owl distribution and habitat associations during the breeding season in the western United States R. Miller et al. https://doi.org/10.1016/j.foreco.2024.121798
5020. Can Oxygen Utilization Rate Be Used to Track the Long‐Term Changes of Aerobic Respiration in the Mesopelagic Atlantic Ocean? H. Guo et al. https://doi.org/10.1029/2022GL102645
5021. Evaluation-based projections of water transport through the Bering Strait using CMIP6 models Y. Zhang et al. https://doi.org/10.1016/j.seares.2026.102728
5022. TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI): motivations and protocol version 1.0 T. Fauchez et al. https://doi.org/10.5194/gmd-13-707-2020
5023. Potential role of autumn sea ice over the Chukchi-Beaufort Seas in the interannual variability of spring Asian-Pacific Oscillation Y. Liu et al. https://doi.org/10.1016/j.atmosres.2025.108577
5024. A Statistical Method to Model Non‐stationarity in Precipitation Records Changes P. Gonzalez et al. https://doi.org/10.1029/2023GL107201
5025. Cloud radiative effect dominates variabilities of surface energy budget in the dark Arctic C. Tao et al. https://doi.org/10.1038/s41598-025-86322-2
5026. Finding Storm Track Activity Metrics That Are Highly Correlated with Weather Impacts. Part II: Estimating Precipitation Change Associated with Projected Storm Track Change over Europe E. Chang et al. https://doi.org/10.1175/JCLI-D-21-0259.1
5027. Characteristics of flash droughts and their association with compound meteorological extremes in China: Observations and model simulations Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.170133
5028. Decadal Change of the Linkage between Sea Ice over the Barents-Kara Seas in November-December and the Stratospheric Polar Vortex in Subsequent January H. Zhou & K. Fan https://doi.org/10.1007/s13351-022-1225-0
5029. Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) J. Tjiputra et al. https://doi.org/10.5194/gmd-13-2393-2020
5030. Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs Y. Song et al. https://doi.org/10.2166/wcc.2021.115
5031. Temperature and precipitation trend analysis using the CMIP6 model in the Upper East region of Ghana G. Arfasa et al. https://doi.org/10.1080/27669645.2023.2290966
5032. Today’s 100 year droughts in Australia may become the norm by the end of the century D. Araujo et al. https://doi.org/10.1088/1748-9326/ac58ac
5033. The Leading Intermodel Spread of the Projected Changes in the Eurasian Continent Winter Surface Air Temperature and Large‐Scale Circulations From the CMIP6 Simulations A. Liu et al. https://doi.org/10.1029/2023JD038829
5034. Mathematical Modeling of Elbrus Glaciers in the 21st Century: Part 1. Glaciological Model and Setup of Numerical Experiments T. Postnikova et al. https://doi.org/10.1134/S0001433824701160
5035. European supercell thunderstorms—A prevalent current threat and an increasing future hazard M. Feldmann et al. https://doi.org/10.1126/sciadv.adx0513
5036. Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China Q. Lü et al. https://doi.org/10.1186/s40677-026-00393-5
5037. Changes in Early Summer Precipitation Characteristics Over South China and Taiwan: CESM2‐LE and CMIP6 Multi‐Model Simulations and Projections W. Huang et al. https://doi.org/10.1029/2022JD037181
5038. Assessing soil erosion and sediment transport efficiency under climate change and land-use dynamics: a multi-temporal approach in the taleghan watershed Z. Salami et al. https://doi.org/10.1007/s00704-026-06476-5
5039. The historical ozone trends simulated with the SOCOLv4 and their comparison with observations and reanalyses A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-22-15333-2022
5040. Quantifying the impact of climate change and extreme heat on rice in the United States S. Li et al. https://doi.org/10.1016/j.agrformet.2024.110145
5041. Assessment of the European Climate Projections as Simulated by the Large EURO‐CORDEX Regional and Global Climate Model Ensemble E. Coppola et al. https://doi.org/10.1029/2019JD032356
5042. Projecting rice water footprint for different shared socioeconomic pathways under arid climate conditions E. Elsadek et al. https://doi.org/10.1007/s00271-025-01019-8
5043. 黄河流域极端高温对植被固碳能力的影响研究 冠. 董 et al. https://doi.org/10.1360/SSTe-2024-0253
5044. Performance and projections of the NEX‐GDDP‐CMIP6 in simulating precipitation in the Brazilian Amazon and Cerrado biomes L. de Mendonça et al. https://doi.org/10.1002/joc.8547
5045. Increasing exposure of global croplands productivity to growing season heatwaves under climate warming Y. Chen et al. https://doi.org/10.1088/1748-9326/ad7868
5046. An interactive ocean surface albedo scheme (OSAv1.0): formulation and evaluation in ARPEGE-Climat (V6.1) and LMDZ (V5A) R. Séférian et al. https://doi.org/10.5194/gmd-11-321-2018
5047. Moderate global warming does not rule out extreme global climate outcomes E. Bevacqua et al. https://doi.org/10.1038/s41586-026-10237-9
5048. Climate Change Determines Future Population Exposure to Summertime Compound Dry and Hot Events G. Zhang et al. https://doi.org/10.1029/2022EF003015
5049. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. https://doi.org/10.5194/gmd-14-3843-2021
5050. Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework J. Donges et al. https://doi.org/10.5194/esd-11-395-2020
5051. A cost-effective climate mitigation pathway for China with co-benefits for sustainability M. Chen et al. https://doi.org/10.1038/s41467-024-53912-z
5052. ISBA-MEB (SURFEX v8.1): model snow evaluation for local-scale forest sites A. Napoly et al. https://doi.org/10.5194/gmd-13-6523-2020
5053. Mid-Pleistocene Transition as a trigger for diversification in the Irano-Anatolian region: Evidence revealed by phylogeography and distribution pattern of the eastern three-lined lizard S. Ghane-Ameleh et al. https://doi.org/10.1016/j.gecco.2021.e01839
5054. The role of an interactive Greenland ice sheet in the coupled climate-ice sheet model EC-Earth-PISM M. Madsen et al. https://doi.org/10.1007/s00382-022-06184-6
5055. Increasing concurrent exposure of global breadbaskets to reproductive heat extremes H. Zhang et al. https://doi.org/10.1088/1748-9326/ad6467
5056. Evaluation and projections of total and maximum-daily rainfall in Northwestern Argentina by CMIP6 models F. Medina et al. https://doi.org/10.1007/s00704-025-05995-x
5057. Future climate assessment in the Mediterranean region using downscaled CMIP6 data H. Daher & B. Kirtman https://doi.org/10.3389/fclim.2025.1691944
5058. Climate Classification Shifts for Future Climate Change in Portugal M. Teixeira et al. https://doi.org/10.1007/s41748-025-00826-5
5059. Spatially-explicit biophysical assessment uncovered spatiotemporal heterogeneity of global forest ecosystem services under a changing climate from 1992 to 2100 Y. Xie et al. https://doi.org/10.1016/j.ecolind.2025.114530
5060. Ponderosa pine hydraulic stress predicts more extreme wildfire behavior under future conditions in Bandelier National Monument, New Mexico Z. Robbins et al. https://doi.org/10.1186/s42408-025-00412-0
5061. Long-Term Trend Comparison of Planetary Boundary Layer Height in Observations and CMIP6 Models over China M. Yue et al. https://doi.org/10.1175/JCLI-D-20-1000.1
5062. Evaluating the Water Cycle Over CONUS at the Watershed Scale for the Energy Exascale Earth System Model Version 1 (E3SMv1) Across Resolutions B. Harrop et al. https://doi.org/10.1029/2022MS003490
5063. The continuing march of Common Green Iguanas: arrival on mainland Asia M. den Burg et al. https://doi.org/10.1016/j.jnc.2020.125888
5064. Analysis of rainfall variations and coffee production areas with climate change in Minas Gerais via future scenarios F. Carvalho Júnior et al. https://doi.org/10.1007/s00704-024-04979-7
5065. Budyko-based past and future disaggregation of climate and catchment effects on streamflow changes P. Sharma & A. Mondal https://doi.org/10.1080/02626667.2024.2349271
5066. An ENSO Prediction Model Based on Backtracking Multiple Initial Values: Ordinary Differential Equations–Memory Kernel Function Q. Ma et al. https://doi.org/10.3390/rs15153767
5067. An effort to distinguish the effects of cloud cover and aerosols on the decadal variations of surface solar radiation in the Northern Hemisphere B. Jiao et al. https://doi.org/10.1088/1748-9326/ad5371
5068. Analyzing Historical and Projected Precipitation Variability and Trends in Eastern Africa: Insights from CRU and CMIP6 Simulations A. Assamnew & G. Tsidu https://doi.org/10.1007/s41748-025-00666-3
5069. Historical and future rainfall variability and meteorological drought under climate change in Khanh Hoa Province, Vietnam P. Nguyen & T. Lap https://doi.org/10.2166/aqua.2026.148
5070. ENSO phase space dynamics in CMIP models P. Priya & D. Dommenget https://doi.org/10.1007/s00382-025-07752-2
5071. What SSP Global Climate Change Scenario is the Caspian Sea Region Following? Part 1: Air Temperature Analysis A. Bocharov et al. https://doi.org/10.2205/2025ES001075
5072. A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics T. Pugh et al. https://doi.org/10.1029/2018EF000935
5073. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. https://doi.org/10.1029/2022GL100739
5074. Application of deep learning algorithms to correct bias in CMIP6 simulations of surface air temperature over the Indian monsoon core region A. Sabarinath et al. https://doi.org/10.1002/joc.8276
5075. Satellite observations characterize the impacts of climate change and human activities on permafrost along Qinghai–Tibet Railway Z. Zhang et al. https://doi.org/10.59717/j.xinn-geo.2024.100127
5076. Divergent Representation of Precipitation Recycling in the Amazon and the Congo in CMIP6 Models J. Baker & D. Spracklen https://doi.org/10.1029/2021GL095136
5077. Advances in regional climate science in South America and Central America during the CORDEX Era M. Bettolli et al. https://doi.org/10.1371/journal.pclm.0001015
5078. Addressing the dichotomy of fishing and climate in fishery management with the FishClim model G. Beaugrand et al. https://doi.org/10.1038/s42003-022-04100-6
5079. Development and evaluation of a new 4DEnVar-based weakly coupled ocean data assimilation system in E3SMv2 P. Shi et al. https://doi.org/10.5194/gmd-18-2443-2025
5080. Projected changes in land carbon store over the 21st century: what contributions from land use change and atmospheric nitrogen deposition? J. Riano Sanchez et al. https://doi.org/10.5194/esd-15-1227-2024
5081. Increasing sensitivity of dryland water use efficiency to soil water content due to rising atmospheric CO2 R. Kong et al. https://doi.org/10.1016/j.scitotenv.2023.167087
5082. Understanding the alleviation of “Double-ITCZ” bias in CMIP6 models from the perspective of atmospheric energy balance Z. Ren & T. Zhou https://doi.org/10.1007/s00382-024-07238-7
5083. Soil moisture-induced changes in land carbon sink projections in CMIP6 L. Gabele et al. https://doi.org/10.5194/bg-23-2729-2026
5084. Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran) F. Zebarjadian et al. https://doi.org/10.1002/joc.8458
5085. Predicting snow structures relevant to reindeer husbandry E. Perkins et al. https://doi.org/10.1080/15230430.2024.2398278
5086. The ability of climate models to reproduce the weakening of the annual air temperature cycle over the central part of the Russian Plain G. Alexandrov https://doi.org/10.1088/1755-1315/1040/1/012029
5087. The role of the western North Pacific (WNP) as an El Niño–Southern Oscillation (ENSO) precursor in a warmer future climate K. Borhara et al. https://doi.org/10.1007/s00382-023-06773-z
5088. Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
5089. Climatological hazard indicators for a robust and integrated energy infrastructure in Austria P. Maier et al. https://doi.org/10.1038/s41597-025-06121-2
5090. GIS-based SCS-CN modeling of surface runoff under CMIP6 climate change scenarios and land cover dynamics in the high-Andean Ilave River Basin, Peru F. Calizaya et al. https://doi.org/10.1007/s40808-026-02864-y
5091. The Impact of Climate Change on Pavement Temperatures and Asphalt Binder Grade Selection in Estonia Based on Different Climate Change Scenarios K. Kontson et al. https://doi.org/10.7250/bjrbe.2025-20.655
5092. Climate-driven shifts in the distribution of economically and ecologically important Paulownia species in China: Implications for sustainable cultivation X. Tang et al. https://doi.org/10.1016/j.indcrop.2026.122956
5093. Climate change multi-model projections in CMIP6 scenarios in Central Hokkaido, Japan S. Peng et al. https://doi.org/10.1038/s41598-022-27357-7
5094. Projected Changes of Day-to-Day Precipitation and Choco Low-Level Jet Relationships over the Far Eastern Tropical Pacific and Western Colombia from Two CMIP6 GCM Models J. Valencia & J. Mejía https://doi.org/10.3390/atmos13111776
5095. Recent human-induced atmospheric drying across Europe unprecedented in the last 400 years K. Treydte et al. https://doi.org/10.1038/s41561-023-01335-8
5096. The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. https://doi.org/10.1029/2020MS002340
5097. Finer resolutions and targeted process representations in earth system models improve hydrologic projections and hydroclimate impacts P. Das & A. Ganguly https://doi.org/10.1038/s41612-025-01134-5
5098. Land conversions not climate effects are the dominant indirect consequence of sun-driven CO2 capture, conversion, and sequestration M. Adam et al. https://doi.org/10.1088/1748-9326/ada971
5099. Shortest path length for evaluating general circulation models for rainfall simulation B. Deepthi & B. Sivakumar https://doi.org/10.1007/s00382-023-06713-x
5100. Compensating Errors in Cloud Radiative and Physical Properties over the Southern Ocean in the CMIP6 Climate Models L. Zhao et al. https://doi.org/10.1007/s00376-022-2036-z
5101. Emergent Constraint for Future Decline in Arctic Phytoplankton Concentration K. Noh et al. https://doi.org/10.1029/2022EF003427
5102. Machine Learning-based Optimization of CMIP6 Multimodel Ensemble for Antarctic Stratospheric Ozone Projections J. Chen et al. https://doi.org/10.1007/s41748-026-01236-x
5103. Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China D. Wang et al. https://doi.org/10.2166/wcc.2022.402
5104. On the association of Pacific Decadal Oscillation with the interdecadal variability in Asian-Pacific Oscillation P. Li et al. https://doi.org/10.1016/j.atmosres.2024.107635
5105. Climate influence on future suitability of high-altitude wetlands in two natural protected areas from the Central Andes of Argentina B. Vento et al. https://doi.org/10.1016/j.pecon.2024.04.006
5106. Observation-constrained projections reveal longer-than-expected dry spells I. Petrova et al. https://doi.org/10.1038/s41586-024-07887-y
5107. Estimating centennial-scale changes in global terrestrial near-surface wind speed based on CMIP6 GCMs C. Shen et al. https://doi.org/10.1088/1748-9326/ac1378
5108. Review of the Observed Energy Flow in the Earth System C. Liu et al. https://doi.org/10.3390/atmos13101738
5109. Projected future changes in food insecurity hotspots over the IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s12517-024-12044-w
5110. Local conditions matter: Climate change and coffee production in Brazil W. Xiao et al. https://doi.org/10.1007/s10584-025-04037-9
5111. Regional priorities in implementing forestation and wind energy as climate solutions in facing their trade-offs P. Zhang et al. https://doi.org/10.1038/s41467-026-71674-8
5112. Brief communication: CMIP6 does not suggest any atmospheric blocking increase in summer over Greenland by 2100 A. Delhasse et al. https://doi.org/10.1002/joc.6977
5113. Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models Z. Wang et al. https://doi.org/10.1038/s41612-020-00159-2
5114. Evidence that end-of-century emulation errors under overshoot remain largely within internal variability in an Earth system model S. Bouabid et al. https://doi.org/10.1088/1748-9326/ae9c58
5115. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. https://doi.org/10.1038/s41586-022-05364-y
5116. Potential current and future distribution for Aedes aegypti and Aedes albopictus in Colombia: important disease vectors E. Mejía-Jurado et al. https://doi.org/10.1007/s10530-024-03298-2
5117. The changing precipitation storm properties under future climate change H. Wang et al. https://doi.org/10.2166/nh.2023.142
5118. 2023 Kenyan floods: A climatological study and future perspectives H. Kim et al. https://doi.org/10.14770/jgsk.2024.028
5119. Diversity patterns and conservation of the Vigna spp. in Mozambique: A comprehensive study M. Brilhante et al. https://doi.org/10.3389/fevo.2022.1057785
5120. Global air-sea CO2 exchange flux since 1980s: results from CMIP6 Earth System Models B. Qu et al. https://doi.org/10.1007/s00343-021-1096-8
5121. The role of human-induced climate change in heavy rainfall events such as the one associated with Typhoon Hagibis S. Li & F. Otto https://doi.org/10.1007/s10584-022-03344-9
5122. An ensemble of AMIP simulations with prescribed land surface temperatures D. Ackerley et al. https://doi.org/10.5194/gmd-11-3865-2018
5123. Europe will struggle to meet the new WHO Air Quality Guidelines U. Im et al. https://doi.org/10.1038/s44407-025-00013-w
5124. Modeling of sea surface temperature using a modified energy balance model: a regional climate change investigative approach T. Ayua et al. https://doi.org/10.1007/s00704-026-06287-8
5125. Precipitation leads the long-term vegetation increase in the conterminous United States drylands Y. Chang et al. https://doi.org/10.1088/1748-9326/adb985
5126. Transferring climate change physical knowledge F. Immorlano et al. https://doi.org/10.1073/pnas.2413503122
5127. Perspective on the Era of Global Boiling: A Future beyond Global Warming T. Amnuaylojaroen & H. Hashiguchi https://doi.org/10.1155/2023/5580606
5128. The oceanic response to winds in the Antarctic sea ice loss at the end of the 1970s F. Feba et al. https://doi.org/10.1088/2752-5295/ae7597
5129. The climatic risk of Amazonian protected areas is driven by climate velocity until 2050 C. Torres-Amaral et al. https://doi.org/10.1371/journal.pone.0286457
5130. Volcanic stratospheric injections up to 160 Tg(S) yield a Eurasian winter warming indistinguishable from internal variability K. DallaSanta & L. Polvani https://doi.org/10.5194/acp-22-8843-2022
5131. Comparisons Between CMIP5 and CMIP6 Models: Simulations of Climate Indices Influencing Food Security, Infrastructure Resilience, and Human Health in Canada S. Bourdeau‐Goulet & E. Hassanzadeh https://doi.org/10.1029/2021EF001995
5132. Projection of Streamflow Changes Under CMIP6 Scenarios in the Urumqi River Head Watershed, Tianshan Mountain, China M. Yang et al. https://doi.org/10.3389/feart.2022.857854
5133. North Atlantic ventilation change over the past three decades is potentially driven by climate change H. Guo et al. https://doi.org/10.1038/s41467-025-67923-x
5134. Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6 S. Nowicki et al. https://doi.org/10.5194/gmd-9-4521-2016
5135. The divergence between potential and actual evapotranspiration: An insight from climate, water, and vegetation change Y. Liu et al. https://doi.org/10.1016/j.scitotenv.2021.150648
5136. Causal hybrid modeling with double machine learning—applications in carbon flux modeling K. Cohrs et al. https://doi.org/10.1088/2632-2153/ad5a60
5137. A Review of Climate Change Attribution Studies P. Zhai et al. https://doi.org/10.1007/s13351-018-8041-6
5138. Assessing NOAA/GFDL Models Performance for South American Seasonal Climate: Insights from CMIP6 Historical Runs and Future Projections M. Shimizu et al. https://doi.org/10.3390/cli13010004
5139. A Global Climate Model Performance Atlas for the Southern Hemisphere Extratropics Based on Regional Atmospheric Circulation Patterns S. Brands et al. https://doi.org/10.1029/2023GL103531
5140. Influence of multidecadal variability on high and low flows: the case of the Seine basin R. Bonnet et al. https://doi.org/10.5194/hess-24-1611-2020
5141. Human-induced intensification of terrestrial water cycle in dry regions of the globe Y. Guan et al. https://doi.org/10.1038/s41612-024-00590-9
5142. Biological reinvasion of Cochliomyia hominivorax (Diptera: Calliphoridae) in Mexico: impacts and risks under different climate change scenarios D. Moo-Llanes et al. https://doi.org/10.1093/jee/toag204
5143. A comprehensive review of recent progress on the drought-flood abrupt alternation G. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133806
5144. Uncertainty in the projected Antarctic contribution to sea level due to internal climate variability J. Caillet et al. https://doi.org/10.5194/esd-16-293-2025
5145. Climate change: causes, consequences, imperatives V. Semenov https://doi.org/10.31857/S0869587324030076
5146. Leaf area index in Earth system models: how the key variable of vegetation seasonality works in climate projections H. Park & S. Jeong https://doi.org/10.1088/1748-9326/abe2cf
5147. Short and long-term projections of Rossby wave packets and blocking events with particular attention to the northern hemisphere A. Trevisiol et al. https://doi.org/10.1016/j.gloplacha.2022.103750
5148. Comparable impacts of IPO and AMO on the decadal change of northern hemisphere tropical cyclone frequency J. Cao et al. https://doi.org/10.1007/s00382-024-07523-5
5149. Assessing future irrigation demand under climate change and bilateral water sharing in the Mahakali command area Y. Mishra et al. https://doi.org/10.1016/j.ejrh.2026.103824
5150. A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level K. Gobron et al. https://doi.org/10.1007/s10712-025-09922-7
5151. Evaluation of extreme precipitation over Asia in CMIP6 models T. Dong & W. Dong https://doi.org/10.1007/s00382-021-05773-1
5152. Added value of a priori bias correction for dynamical downscaling - A case study of Coastal British Columbia D. Hingmire et al. https://doi.org/10.1371/journal.pclm.0000717
5153. Revisiting the land use conflicts between forests and solar farms through energy efficiency P. Zhang et al. https://doi.org/10.1016/j.jclepro.2023.139958
5154. Increasing Precipitation Efficiency Amplifies Climate Sensitivity by Enhancing Tropical Circulation Slowdown and Eastern Pacific Warming Pattern R. Li et al. https://doi.org/10.1029/2022GL100836
5155. Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models P. Silva et al. https://doi.org/10.1007/s00382-024-07253-8
5156. <b>Projected Climate Trends and Hydroclimatic Extremes in the West Seti Basin, Nepal</b> S. Kumar et al. https://doi.org/10.52151/jae2026634.2040
5157. Northwestward advance of the northern boundary of the East Asian summer monsoon over the 21st century in CMIP6 projections B. Wu et al. https://doi.org/10.1002/joc.8062
5158. The hidden value of low-performers: ensemble design strategies for coupled ocean-circulation biogeochemical modelling U. Löptien & H. Dietze https://doi.org/10.1038/s41598-026-54424-0
5159. Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial P. Scussolini et al. https://doi.org/10.1126/sciadv.aax7047
5160. Effect of Climate Change on Rice Cultivation in South Korea – Runoff, Nitrogen Discharge, and Productivity Forecast Under Cmip6 Climate Scenarios Using the Apex-Paddy Model E. Danquah et al. https://doi.org/10.2139/ssrn.4022936
5161. Projection of meteorological drought in Türkiye’s Mediterranean region based on multi-model ensemble from CMIP6 V. Gumus & M. Seker https://doi.org/10.1080/02626667.2024.2364712
5162. Accounting for Pacific climate variability increases projected global warming Y. Liang et al. https://doi.org/10.1038/s41558-024-02017-y
5163. Frost damage segmentation in grapevine organs using YOLOv11s with ASPP and dynamic confidence thresholding K. Arık & E. Büyükbıçakcı https://doi.org/10.1038/s41598-026-45694-9
5164. Climate projections of meteotsunami hazards C. Denamiel et al. https://doi.org/10.3389/fmars.2023.1167863
5165. Enhanced joint impact of western hemispheric precursors increases extreme El Niño frequency under greenhouse warming H. Jo & Y. Ham https://doi.org/10.1038/s41467-023-42115-7
5166. Anthropogenic Aerosols Offsetting Ocean Warming Less Efficiently Since the 1980s T. Sohail et al. https://doi.org/10.1029/2023GL105374
5167. Attributing daily ocean temperatures to anthropogenic climate change J. Giguere et al. https://doi.org/10.1088/2752-5295/ad4815
5168. Onshore intensification of subtropical western boundary currents in a warming climate H. Yang et al. https://doi.org/10.1038/s41558-025-02258-5
5169. Future potential distribution and expansion trends of highland barley under climate change in the Qinghai-Tibet plateau (QTP) Y. Yin et al. https://doi.org/10.1016/j.ecolind.2022.108702
5170. Investigation of Fire Weather Danger under a Changing Climate at High Resolution in Greece N. Politi et al. https://doi.org/10.3390/su15032498
5171. Modeling the impacts of climate change on the current and future distribution of baobab (Adansonia digitata L.) in Sudan N. Gadallah et al. https://doi.org/10.1007/s40808-025-02574-x
5172. From least concerned to endangered? An integrated approach to determine the distribution, suitable habitat, and future of Dryophytes immaculatus A. Borzée et al. https://doi.org/10.1186/s40850-025-00248-w
5173. Detection and attribution of the summer length changes in the Northern Hemisphere W. Lin & C. Wang https://doi.org/10.1007/s00382-022-06553-1
5174. Understanding Skill of Seasonal Mean Precipitation Prediction over California during Boreal Winter and Role of Predictability Limits A. Kumar & M. Chen https://doi.org/10.1175/JCLI-D-19-0275.1
5175. Recent intensification of in-phase East Asian winter–summer monsoon coupling linked to summer ENSO evolution D. Nguyen-Le https://doi.org/10.1016/j.atmosres.2026.109033
5176. An increase in temperature under the shared socioeconomic scenarios in the Volta River Basin, West Africa: implications for economic development A. Limantol et al. https://doi.org/10.2166/wcc.2023.141
5177. Past aquifer responses to climate recorded by fossil groundwater A. Seltzer et al. https://doi.org/10.1126/sciadv.adu7812
5178. The Influence of Ocean Coupling on Simulated and Projected Tropical Cyclone Precipitation in the HighResMIP–PRIMAVERA Simulations H. Huang et al. https://doi.org/10.1029/2021GL094801
5179. Impact of Climate Change on the Spatial Dynamics of Habitats Suitable for the Genus Clusia L. in Peru D. Cieza-Tarrillo et al. https://doi.org/10.3390/f17091126
5180. The Importance of Dynamic Iron Deposition in Projecting Climate Change Impacts on Pacific Ocean Biogeochemistry E. Drenkard et al. https://doi.org/10.1029/2022GL102058
5181. Variability and trends in tropical precipitation intensity in observations and climate models G. Gu & R. Adler https://doi.org/10.1007/s00382-024-07287-y
5182. Analysis of Rainfall Projections in Historical and Future Periods Using Coupled Model Intercomparison Project (CMIP) Phase 6 in Indonesia A. Hanafi et al. https://doi.org/10.1088/1755-1315/1426/1/012015
5183. Projected changes in terrestrial water storage and associated flood potential across the Yangtze River basin J. Xiong et al. https://doi.org/10.1016/j.scitotenv.2022.152998
5184. Hot season gets hotter due to rainfall delay over tropical land in a warming climate F. Song et al. https://doi.org/10.1038/s41467-025-57501-6
5185. Estimating present temperature climate in a warming world: probabilistic verification of a model-based approach for years 2008–2025 J. Räisänen et al. https://doi.org/10.1007/s00382-026-08336-4
5186. A Heuristic Estimation of the Genesis Probability of Tropical Cyclones using Genesis Frequency and Genesis Potential Index J. Shin et al. https://doi.org/10.5467/JKESS.2019.40.6.561
5187. More accurate quantification of model-to-model agreement in externally forced climatic responses over the coming century N. Maher et al. https://doi.org/10.1038/s41467-020-20635-w
5188. Variabilities in climate sensitivities and mass balance of four High Mountain Asian glaciers K. Mukherjee et al. https://doi.org/10.1016/j.gloplacha.2025.105044
5189. Deep learning for climate downscaling: generating high-resolution gridded temperature projections over India from low-resolution CMIP6 data D. Ansari & T. Ansari https://doi.org/10.1007/s12040-026-02936-8
5190. Asymmetric effects of Indian ocean dipole on surface chlorophyll variability in the Indian ocean T. Abeywickrama et al. https://doi.org/10.1007/s10236-025-01714-2
5191. Diagnosing drivers of tropical precipitation biases in coupled climate model simulations M. Respati et al. https://doi.org/10.1007/s00382-024-07355-3
5192. Evaluating Spatial downscaling surrogate models for landscape evolution simulations in the Tarim river basin, China R. Hou et al. https://doi.org/10.1007/s00477-025-02980-8
5193. Past and future changes in avalanche problems in northern Norway estimated with machine-learning models K. Eiselt & R. Graversen https://doi.org/10.5194/tc-20-1867-2026
5194. Nile basin flow regimes under 21st century climate variability H. Elhaddad et al. https://doi.org/10.1038/s43247-025-02813-0
5195. Seasonally and Regionally Dependent Shifts of the Atmospheric Westerly Jets under Global Warming W. Zhou et al. https://doi.org/10.1175/JCLI-D-21-0723.1
5196. Projected future daily characteristics of African precipitation based on global (CMIP5, CMIP6) and regional (CORDEX, CORDEX-CORE) climate models A. Dosio et al. https://doi.org/10.1007/s00382-021-05859-w
5197. Mechanistic insights into West African monsoon precipitation biases in CMIP6 models K. Ayegbusi et al. https://doi.org/10.1088/2752-5295/ae30f5
5198. Multivariate Drought Monitoring, Propagation, and Projection Using Bias‐Corrected General Circulation Models O. Adeyeri et al. https://doi.org/10.1029/2022EF003303
5199. A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios Z. Xu et al. https://doi.org/10.3390/land13111932
5200. Impact of climate change on wintertime European atmospheric blocking S. Bacer et al. https://doi.org/10.5194/wcd-3-377-2022
5201. Future permafrost degradation under climate change in a headwater catchment of central Siberia: quantitative assessment with a mechanistic modelling approach T. Xavier et al. https://doi.org/10.5194/tc-18-5865-2024
5202. Expanding footprint of drought–wet abrupt alternation under climate change scenarios in Northern China S. Tao et al. https://doi.org/10.1007/s10113-026-02688-7
5203. Alternating Connectivity with Temporal Delays between the Pacific, Atlantic, and Indian Oceans F. Cai et al. https://doi.org/10.34133/olar.0142
5204. A downscaling method for CMIP6 precipitation based on the Bayesian ridge spatiotemporal weighted regression model J. Yu et al. https://doi.org/10.1007/s00382-026-08185-1
5205. Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations A. Abbas et al. https://doi.org/10.1002/joc.7602
5206. Expanding the European water Framework Directive indicators to address long-term climate change impacts on lakes using mechanistic lake models L. Soares et al. https://doi.org/10.1016/j.ecolind.2025.113220
5207. Attribution of historical extreme heat events in different climate zones of China Y. Zhang & Y. Sun https://doi.org/10.1088/1748-9326/adb2a8
5208. Eastward-shifting boreal summer intraseasonal oscillation amplifies North America heatwave and wildfire risks in warming climate Z. Chen et al. https://doi.org/10.1038/s41612-025-01196-5
5209. Do CMIP models capture long-term observed annual precipitation trends? S. Vicente-Serrano et al. https://doi.org/10.1007/s00382-021-06034-x
5210. Weathering Tomorrow: Climate Analogues and Adaptation Gaps in Europe A. Fouejieu et al. https://doi.org/10.5325/jdevepers.5.1-2.0081
5211. Spatially resolved emulated annual temperature projections for overshoot pathways J. Schwaab et al. https://doi.org/10.1038/s41597-024-04122-1
5212. Svalbard’s 2024 record summer: An early view of Arctic glacier meltdown? T. Schuler et al. https://doi.org/10.1073/pnas.2503806122
5213. Cryosphere Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Brugger et al. https://doi.org/10.1029/2021EA002111
5214. Comparison of CMIP6 and CMIP5 models in simulating climate extremes H. Chen et al. https://doi.org/10.1016/j.scib.2020.05.015
5215. Determining the cause of inconsistent onset-season trends in the Northern Hemisphere snow cover extent record A. Elias Chereque et al. https://doi.org/10.1126/sciadv.adv7926
5216. Hemispherically asymmetric Hadley cell response to CO 2 removal S. Kim et al. https://doi.org/10.1126/sciadv.adg1801
5217. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. https://doi.org/10.5194/essd-13-5213-2021
5218. Change in Climate Sensitivity and Its Dependence on the Lapse-Rate Feedback in 4 × CO2 Climate Model Experiments K. Eiselt & R. Graversen https://doi.org/10.1175/JCLI-D-21-0623.1
5219. High Resolution Global Environmental Stratification to Model Shifting Bioclimatic Conditions and Climate Change Impacts on Terrestrial Ecosystems R. Zomer et al. https://doi.org/10.12688/openreseurope.20387.1
5220. Creating granular climate zones for future-proof building design in the UK H. Xie et al. https://doi.org/10.1016/j.apenergy.2023.122549
5221. Projected distributions of Mongolian rangeland vegetation under future climate conditions K. Suzuki et al. https://doi.org/10.1093/jpe/rtae028
5222. Marine heatwave off Tokai, Japan, attributed to the Kuroshio Large Meander Path, and an associated increase in summer rainfall over Japan S. Sugimoto https://doi.org/10.1007/s10872-024-00741-9
5223. Ubiquitous increases in flood magnitude in the Columbia River basin under climate change L. Queen et al. https://doi.org/10.5194/hess-25-257-2021
5224. Causal inference for time series J. Runge et al. https://doi.org/10.1038/s43017-023-00431-y
5225. Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections A. Khan et al. https://doi.org/10.1007/s00704-024-05274-1
5226. Diminished Impact of the East Asian Winter Monsoon on the Maritime Continent Rainfall After the Late‐1990s Tied to Weakened Siberian High–Aleutian Low Covariation Z. Dong et al. https://doi.org/10.1029/2022JD037336
5227. Geolocated fish spawning habitats K. Oremus et al. https://doi.org/10.1038/s41597-024-03348-3
5228. Evaluation of the impact of the tropical oscillations on the Indian summer monsoon in the global climate models U. Dutta et al. https://doi.org/10.1007/s00704-024-05160-w
5229. Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.1
5230. Sensitivity of winter Arctic amplification in NorESM2 L. Seland Graff et al. https://doi.org/10.5194/esd-16-1671-2025
5231. Neural general circulation models for modeling precipitation J. Yuval et al. https://doi.org/10.1126/sciadv.adv6891
5232. Regional Features of Long-Term Exposure to PM2.5 Air Quality over Asia under SSP Scenarios Based on CMIP6 Models S. Shim et al. https://doi.org/10.3390/ijerph18136817
5233. Attributing the recent weakening of the South Asian subtropical westerlies P. Upadhyaya et al. https://doi.org/10.1038/s41612-024-00777-0
5234. The American monsoon system in HadGEM3 and UKESM1 J. García-Franco et al. https://doi.org/10.5194/wcd-1-349-2020
5235. Framework for generating high-resolution Hong Kong local climate projections to support building energy simulations J. Wang et al. https://doi.org/10.1063/5.0254669
5236. Discrepancies of Upper Troposphere Summer Thermal Contrast Between Tibetan Plateau and Tropical Indian Ocean in Multiple Data X. Luo et al. https://doi.org/10.3389/fenvs.2021.655521
5237. Observed forest trait velocities have not kept pace with hydraulic stress from climate change G. Quetin et al. https://doi.org/10.1111/gcb.16847
5238. Seasonal variability of future extreme precipitation and associated trends across the Contiguous U.S. I. Dollan et al. https://doi.org/10.3389/fclim.2022.954892
5239. An integrated scenario-based approach for evaluating water yield responses to land use and climate change B. Veisi Nabikandi et al. https://doi.org/10.1016/j.indic.2025.100919
5240. Impact of climate change on backup energy and storage needs in wind-dominated power systems in Europe J. Weber et al. https://doi.org/10.1371/journal.pone.0201457
5241. Projected impacts of 1.5 and 2°C global warming on temperature and precipitation patterns in South America R. Torres et al. https://doi.org/10.1002/joc.7322
5242. Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP) B. Kravitz et al. https://doi.org/10.5194/acp-21-4231-2021
5243. Twenty‐First Century Projections and Trends of JJAS Rainfall Over the Greater Horn of Africa Under CMIP6 Shared Socioeconomic Pathways Scenarios W. Jima et al. https://doi.org/10.1002/joc.70390
5244. Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model P. Braconnot et al. https://doi.org/10.5194/cp-17-1091-2021
5245. Performance Evaluation of CMIP5 and CMIP6 Models on Heatwaves in Korea and Associated Teleconnection Patterns M. Kim et al. https://doi.org/10.1029/2020JD032583
5246. The Groundwater Management in the Mexico Megacity Peri-Urban Interface K. Ríos-Sánchez et al. https://doi.org/10.3390/su16114801
5247. Exploring the sensitivity of extreme event attribution of two recent extreme weather events in Sweden using long-running meteorological observations E. Holmgren & E. Kjellström https://doi.org/10.5194/nhess-24-2875-2024
5248. The prediction skill of Indian Ocean dipole mode in DCPP-CMIP6 decadal hindcast models B. Paul et al. https://doi.org/10.1088/2515-7620/ae59f5
5249. Reducing global air pollution: the scope for further policy interventions M. Amann et al. https://doi.org/10.1098/rsta.2019.0331
5250. Gazing into the flames: A guide to assessing the impacts of climate change on landscape fire H. Clarke et al. https://doi.org/10.1126/sciadv.adz2429
5251. Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps M. Gore et al. https://doi.org/10.1029/2022EF003211
5252. Detection, attribution, and modeling of climate change: Key open issues N. Scafetta https://doi.org/10.1016/j.gr.2025.05.001
5253. Climatic suitability assessment of pistachio (Pistacia vera L.) under current and future climate scenarios in the Mediterranean Region B. Ijaz et al. https://doi.org/10.3389/fagro.2026.1965432
5254. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. https://doi.org/10.1029/2020GL088295
5255. Impact of industrial versus biomass burning aerosols on the Atlantic Meridional Overturning Circulation R. Allen et al. https://doi.org/10.1038/s41612-024-00602-8
5256. The interaction of ice and law in Arctic marine accessibility A. Lynch et al. https://doi.org/10.1073/pnas.2202720119
5257. A historical and future view of elevation-dependent precipitation change in CMIP6 models O. Ferguglia et al. https://doi.org/10.1007/s00382-026-08292-z
5258. ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets Y. Kawakami et al. https://doi.org/10.1109/TVCG.2025.3634788
5259. Hunga Tonga–Hunga Ha′apai Volcano Impact Model Observation Comparison (HTHH-MOC) project: experiment protocol and model descriptions Y. Zhu et al. https://doi.org/10.5194/gmd-18-5487-2025
5260. Global warming amplifies wildfire health burden and reshapes inequality J. Zhao et al. https://doi.org/10.1038/s41586-025-09612-9
5261. Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines M. Verwega et al. https://doi.org/10.3389/fmars.2021.678404
5262. Sensitivity of projected Afro-Asian monsoon precipitation to solar radiation management T. Adeliyi & A. Akinsanola https://doi.org/10.1016/j.scitotenv.2026.181634
5263. Enhanced Asian warming increases Arctic amplification Y. Xie et al. https://doi.org/10.1088/1748-9326/acbdb1
5264. Sixty years of observations and future projections of nine declining North American glaciers E. Josberger et al. https://doi.org/10.1038/s41598-026-41235-6
5265. Does CMIP6 inspire more confidence in projecting precipitation over China? J. Tian et al. https://doi.org/10.1002/joc.8127
5266. Hector V3.2.0: functionality and performance of a reduced-complexity climate model K. Dorheim et al. https://doi.org/10.5194/gmd-17-4855-2024
5267. Increased global subseasonal whiplash by future BSISO behavior T. Cheng et al. https://doi.org/10.1126/sciadv.adv6355
5268. Projection of future non-stationary intensity-duration-frequency curves using the pooled CMIP6 climate models A. Mianabadi et al. https://doi.org/10.1007/s11069-024-06779-8
5269. Advective, adiabatic and diabatic contributions to heat extremes simulated with the Community Earth System Model version 2 M. Röthlisberger et al. https://doi.org/10.5194/wcd-7-1363-2026
5270. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. https://doi.org/10.1029/2020GL088063
5271. Predicting how climate change and globally invasive piscivorous fishes will interact to threaten populations of endemic fishes in a freshwater biodiversity hotspot Ö. Emiroğlu et al. https://doi.org/10.1007/s10530-023-03016-4
5272. Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences Y. Resnyanskii et al. https://doi.org/10.3103/S1068373925130023
5273. Sustainable water and energy for water-stressed coastal cities under future climate scenarios Y. Huang et al. https://doi.org/10.1016/j.enconman.2026.121646
5274. Tropical Deep Convection, Cloud Feedbacks and Climate Sensitivity G. Stephens et al. https://doi.org/10.1007/s10712-024-09831-1
5275. Impact of biomass burning aerosols (BBA) on the tropical African climate in an ocean–atmosphere–aerosol coupled climate model M. Mallet et al. https://doi.org/10.5194/acp-24-12509-2024
5276. Climate data selection for multi-decadal wind power forecasts S. Morelli et al. https://doi.org/10.1088/1748-9326/adc01f
5277. Estimating Carbon Sink Strength of Norway Spruce Forests Using Machine Learning J. Zhao et al. https://doi.org/10.3390/f13101721
5278. A review of sustainable drought resilience strategies for India's diverse agroclimatic landscapes S. Sahoo et al. https://doi.org/10.2166/nh.2025.216
5279. Paddock Tree Arrangement and Pasture Photosynthetic Heat Tolerance in a Temperate Tree‐Pasture Grazing System Under Climate Change Scenarios A. Addo‐Danso et al. https://doi.org/10.1002/sae2.70093
5280. Assessment of Chinese suitable habitats of Zanthoxylum nitidum in different climatic conditions by Maxent model, HPLC, and chemometric methods Y. Yang et al. https://doi.org/10.1016/j.indcrop.2023.116515
5281. Integrative approaches for sustainable and resilient water–food systems under climate and socio-economic pressures S. Thota et al. https://doi.org/10.1007/s44274-026-00719-y
5282. Technological improvements in EV batteries offset climate-induced durability challenges H. Wu et al. https://doi.org/10.1038/s41558-026-02579-z
5283. Empirical projection of global sea level in 2050 driven by Antarctic and Greenland ice mass variations D. Lee et al. https://doi.org/10.1088/1748-9326/ad13b8
5284. Genomic Offset Reveals Siberian Larch (Larix sibirica L.) Populations Potentially Vulnerable to Future Climate S. Novikova et al. https://doi.org/10.3390/f17060696
5285. The impacts of climate change on offshore wind park projects: from changes in resource to project profitability C. Olivares-Cabello et al. https://doi.org/10.1088/1742-6596/2767/9/092085
5286. Dry‐air intrusion over India during break phases of the Indian summer monsoon in CMIP6 models R. Singh & S. Sandeep https://doi.org/10.1002/qj.4788
5287. Diverse Responses of Global‐Mean Surface Temperature to External Forcings and Internal Climate Variability in Observations and CMIP6 Models H. Rashid https://doi.org/10.1029/2021GL093194
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5304. Climate Change Threatens Traditional Yemeni Architecture: Building Energy Simulation of Thermal Performance in Old Sana’a Tower Houses Under Mid-Century Warming Scenarios X. Li et al. https://doi.org/10.3390/buildings16050956
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5328. A Framework for Quantifying the Robustness and Uncertainty of Drought Projections S. Zhang et al. https://doi.org/10.1002/joc.70019
5329. Observationally constrained global warming hysteresis under CO2 removal S. Song et al. https://doi.org/10.1038/s43247-026-03484-1
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5333. Assessing Climate Change and Vulnerability Across Pakistan’s Agroecological Zones using Historical Trends and CMIP6 Projections M. Mohammed Amin et al. https://doi.org/10.1007/s41748-026-01112-8
5334. Performance evaluation of CMIP6 global climate models using ERA5 over Indian Monsoon Region A. Sreekumar & P. Valayamkunnath https://doi.org/10.1007/s00382-025-07895-2
5335. Projected changes and uncertainty in cold surges over northern China using the CMIP6 weighted multi-model ensemble S. Shuaifeng & Y. Xiaodong https://doi.org/10.1016/j.atmosres.2022.106334
5336. Climate change and La Niña increase the likelihood of the ‘7·20’ extraordinary typhoon‐rainstorm in Zhengzhou, China W. Wang & X. Yuan https://doi.org/10.1002/joc.8386
5337. Simulation of modern and future climate by INM-CM6M A. Gritsun et al. https://doi.org/10.1515/rnam-2024-0028
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5340. Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. https://doi.org/10.5194/acp-21-17-2021
5341. A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs) M. Meinshausen et al. https://doi.org/10.5194/gmd-17-4533-2024
5342. Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. https://doi.org/10.1016/j.rse.2023.113847
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5344. Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques S. Velivelli et al. https://doi.org/10.1007/s00704-024-05146-8
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5350. A Machine Learning Perspective on the Climatic and Socioeconomic Determinants of Mental Health in Southeast Asia T. Amnuaylojaroen & N. Parasin https://doi.org/10.3390/world6020048
5351. Argo—Two Decades: Global Oceanography, Revolutionized G. Johnson et al. https://doi.org/10.1146/annurev-marine-022521-102008
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5353. Projected changes in sea level seasonal cycle alter global coastal flood hazards Y. Qu et al. https://doi.org/10.1088/1748-9326/ae3b57
5354. Predicting the potential suitable habitats of genus Nymphaea in India using MaxEnt modeling S. Parveen et al. https://doi.org/10.1007/s10661-022-10524-8
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5356. An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. https://doi.org/10.1175/JCLI-D-19-0928.1
5357. Benefits of future satellite gravimetry missions for characterizing extreme wet events in terrestrial water storage K. Middendorf et al. https://doi.org/10.1016/j.asr.2026.07.075
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5361. Mesoscale convective systems over the Amazon basin in a changing climate under global warming A. Rehbein & T. Ambrizzi https://doi.org/10.1007/s00382-022-06657-8
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5364. Decreasing Wintertime Mixed‐Layer Depth in the Northwestern North Pacific Subtropical Gyre S. Sugimoto https://doi.org/10.1029/2021GL095091
5365. UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. https://doi.org/10.1029/2019MS001739
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5371. Analysis of spatiotemporal droughts using order statistics and archetype analysis of remotely sensed relative productivity index N. Abid et al. https://doi.org/10.1016/j.ejrh.2026.103263
5372. Total ozone content, total cloud cover, and aerosol optical depth in CMIP6: simulations performance and projected changes A. Yamamoto et al. https://doi.org/10.1007/s00704-023-04821-6
5373. Post-2000 greening of Kalahari Desert and southern African grasslands reduces food and economic insecurity in Africa D. Nath et al. https://doi.org/10.1088/1748-9326/adf23a
5374. Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. https://doi.org/10.1029/2022MS003128
5375. Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin S. Try et al. https://doi.org/10.1016/j.ejrh.2022.101035
5376. Interdecadal change and projection of the relationship between spring Arctic Oscillation and summer precipitation in the Yangtze River valley in CMIP6 models W. Jia et al. https://doi.org/10.1016/j.aosl.2024.100481
5377. Population-Weighted Degree-Days over Southeast Europe—Near Past Climate Evaluation and Future Projections with NEX-GDDP CMIP6 Ensemble H. Chervenkov & K. Slavov https://doi.org/10.3390/cli13040066
5378. Alternative dynamic regimes of marine biogeochemical models in perturbed environments G. Occhipinti et al. https://doi.org/10.5194/bg-23-2003-2026
5379. Modification and Validation of the Soil–Snow Module in the INM RAS Climate Model A. Chernenkov et al. https://doi.org/10.3390/atmos15040422
5380. A deep learning–based U-Net model for ENSO-related precipitation responses to sea surface temperature anomalies over the tropical Pacific Y. Zhu & R. Zhang https://doi.org/10.1016/j.aosl.2023.100351
5381. Assessing Future Tropical Cyclone Risk Using Downscaled 1 CMIP6 Projections B. Fosu et al. https://doi.org/10.63024/dpva-2pa1
5382. Study on the impact of land-sea distribution on future building energy consumption in Chinese cities under the background of climate change T. Yang et al. https://doi.org/10.1016/j.enbuild.2025.115434
5383. A novel quintile multi-model ensemble approach for improving future extreme precipitation projections using XGBoost Y. Song et al. https://doi.org/10.1088/2632-2153/adfcb1
5384. Contribution of meridional overturning circulation and sea ice changes to large-scale temperature asymmetries in CMIP6 overshoot scenarios P. Roldán-Gómez et al. https://doi.org/10.5194/os-21-2283-2025
5385. Opposite effects of climate and land‐use/cover change on Mediterranean herpetofauna: Insights from the southern Apennines D. Biancolini et al. https://doi.org/10.1111/acv.12999
5386. UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. https://doi.org/10.5194/gmd-15-9177-2022
5387. Past, present, and future variability of Atlantic meridional overturning circulation in CMIP6 ensembles A. Coquereau et al. https://doi.org/10.5194/esd-17-209-2026
5388. Climatic and anthropogenic impacts on the water balance of Issyk-Kul Lake through its main catchments S. Uwamahoro et al. https://doi.org/10.3389/frwa.2024.1363039
5389. Anthropogenic aerosol forcing of the Atlantic meridional overturning circulation and the associated mechanisms in CMIP6 models T. Hassan et al. https://doi.org/10.5194/acp-21-5821-2021
5390. Toward Understanding the Diverse Impacts of Air‐Sea Interactions on MJO Simulations J. Fu et al. https://doi.org/10.1002/2017JC013187
5391. Contribution of Leading Natural Climate Variability Modes to Winter SAT Changes in the Arctic in the Early 20th Century D. Bokuchava et al. https://doi.org/10.3390/atmos16121391
5392. A geographically weighted regression full-track model of tropical cyclones for typhoon hazard assessment in coastal regions of China D. Zeng et al. https://doi.org/10.1016/j.jweia.2024.105660
5393. The changing nature of Earth's reflected sunlight G. Stephens et al. https://doi.org/10.1098/rspa.2022.0053
5394. Triple collocation validates CONUS-wide evapotranspiration inferred from atmospheric conditions E. McCormick et al. https://doi.org/10.5194/hess-30-2417-2026
5395. Next-generation ensemble projections reveal higher climate risks for marine ecosystems D. Tittensor et al. https://doi.org/10.1038/s41558-021-01173-9
5396. Changes in Winter Temperature Extremes From Future Arctic Sea‐Ice Loss and Ocean Warming Y. Lo et al. https://doi.org/10.1029/2022GL102542
5397. Disturbance suppresses the aboveground carbon sink in North American boreal forests J. Wang et al. https://doi.org/10.1038/s41558-021-01027-4
5398. Global fully coupled climate-aerosol CMA-CPSv4 – Part 1: Aerosol simulation performance M. Zheng et al. https://doi.org/10.5194/gmd-19-7279-2026
5399. Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. https://doi.org/10.1038/s41561-023-01357-2
5400. Amundsen Sea Ice Loss Contributes to Australian Wildfires G. Liu et al. https://doi.org/10.1021/acs.est.4c00051
5401. Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled Z. Nicholls et al. https://doi.org/10.1029/2022GL099788
5402. Improving regional precipitation simulation over South China: a comparative evaluation of NEX-GDDP-CMIP6 and CMIP6 models J. He et al. https://doi.org/10.1016/j.atmosres.2026.108822
5403. Future changes in bias-corrected CMIP6 earth system model’s air temperature and precipitation over the Indian Ocean Region P. Ghoshal et al. https://doi.org/10.1007/s00382-025-07685-w
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5405. Highly stratified mid-Pliocene Southern Ocean in PlioMIP2 J. Weiffenbach et al. https://doi.org/10.5194/cp-20-1067-2024
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5407. Projection of Climate Change and Consumptive Demands Projections Impacts on Hydropower Generation in the São Francisco River Basin, Brazil M. da Silva et al. https://doi.org/10.3390/w13030332
5408. Assessment of Uncertainties in Scenario Simulations of Biogeochemical Cycles in the Baltic Sea H. Meier et al. https://doi.org/10.3389/fmars.2019.00046
5409. Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle X. He et al. https://doi.org/10.1038/s41467-024-52160-5
5410. Hydrological response under CMIP6 climate projection in Astore River Basin, Pakistan Z. Ali et al. https://doi.org/10.1007/s11629-022-7872-x
5411. The Super-large Ensemble Experiments of CAS FGOALS-g3 P. Lin et al. https://doi.org/10.1007/s00376-022-1439-1
5412. Runtime bias correction of regional climate model driving data and its continental-scale impacts J. Scinocca et al. https://doi.org/10.1007/s00382-025-07814-5
5413. Biogeochemical versus biogeophysical temperature effects of historical land-use change in CMIP6 A. Amali et al. https://doi.org/10.5194/esd-16-803-2025
5414. Future change in extreme precipitation in East Asian spring and Mei-yu seasons in two high-resolution AGCMs C. Chen et al. https://doi.org/10.1016/j.wace.2022.100408
5415. Enhanced summer extreme precipitation over the Asian-African land monsoon regions during past warm periods: A modelling perspective from CESM2 X. Kong et al. https://doi.org/10.1016/j.quascirev.2023.108291
5416. Breaching 1.5 °C: Give me the odds J. Vera-Valdés & O. Kvist https://doi.org/10.1016/j.ijforecast.2026.07.004
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5420. Compound multi-hazard assessment under CMIP6 climate scenarios: tracking seasonal flood-landslide and drought-fire interactions across Nepal K. Shrestha et al. https://doi.org/10.1007/s11069-026-08310-7
5421. Redefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO P. Huang et al. https://doi.org/10.1038/s41612-024-00695-1
5422. Future photovoltaic potential in India: navigating the interplay between air pollution control and climate change mitigation S. Ghosh et al. https://doi.org/10.1088/1748-9326/ad8c68
5423. Assessing the past and future dynamics of the Asian summer monsoon: Insights from palaeomonsoon synthesis and CMIP6 data M. Shekhar et al. https://doi.org/10.1016/j.gecadv.2023.100004
5424. Variations in terrestrial oxygen sources under climate change L. Ding et al. https://doi.org/10.1007/s11430-021-9956-5
5425. Downscaled climate model erosivity projections and drivers of change across distinct climate regions N. Bulovic et al. https://doi.org/10.1016/j.catena.2024.108250
5426. Climate change and extreme weather: A review focusing on the continental United States W. Robinson https://doi.org/10.1080/10962247.2021.1942319
5427. Projecting temperature-related mortality impacts at urban scale under climate scenarios: A methodological review K. Liu et al. https://doi.org/10.1016/j.scs.2026.107476
5428. Increased moist heat stress risk across China under warming climate S. Sun et al. https://doi.org/10.1038/s41598-022-27162-2
5429. Climate change may drive the distribution of tribe Zyginelline pests in China and the Indo‐China Peninsula to shift towards higher latitude river‐mountain systems W. Ran et al. https://doi.org/10.1002/ps.7788
5430. Natural variability has dominated Atlantic Meridional Overturning Circulation since 1900 M. Latif et al. https://doi.org/10.1038/s41558-022-01342-4
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5432. Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey S. Bağçaci et al. https://doi.org/10.1016/j.atmosres.2021.105576
5433. Global termite methane emissions have been affected by climate and land-use changes A. Ito https://doi.org/10.1038/s41598-023-44529-1
5434. Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations E. Martin-Martinez et al. https://doi.org/10.5194/esd-16-1343-2025
5435. Potential impacts of rapidly changing european use of fossil fuels on global warming C. Huntingford et al. https://doi.org/10.1088/2515-7620/acf3d7
5436. Anthropogenic influence on the occurrence of extreme drought like that in eastern China in 2019 Y. Li et al. https://doi.org/10.1016/j.aosl.2022.100296
5437. Spectrally transformed CMIP6 decadal projections improve interannual rainfall forecasts Z. Jiang et al. https://doi.org/10.1016/j.jhydrol.2025.132870
5438. Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models Z. Lu et al. https://doi.org/10.3390/atmos11090931
5439. Global assessment of aerosol radiative effects: New insights from observations, reanalysis, and climate models K. Ansari et al. https://doi.org/10.1016/j.scitotenv.2025.180871
5440. Climate change scenario in Bangladesh: historical data analysis and future projection based on CMIP6 model M. Jihan et al. https://doi.org/10.1038/s41598-024-81250-z
5441. Future changes in extreme precipitation from 1.0 °C more warming in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128269
5442. Aridity‐Dependent Land Surface Skin Temperature Biases in CMIP5/6 W. Wu & Z. Yang https://doi.org/10.1029/2022GL098952
5443. Decadal Oscillations of the Mean Temperature of the Northern Hemisphere during Modern Global Warming N. Vakulenko et al. https://doi.org/10.1134/S0001437024700644
5444. Nonstationary modulation of the preceding spring North Pacific Victoria mode on the connection of central North America winter temperature with ENSO K. Ji et al. https://doi.org/10.1007/s00382-023-06895-4
5445. Middle Holocene Decline of River Runoff in the Volga Basin and Its Effect on the Caspian Sea Level A. Sidorchuk et al. https://doi.org/10.3390/quat9040049
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5447. The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle M. Willeit et al. https://doi.org/10.5194/gmd-16-3501-2023
5448. Representing water scarcity in future agricultural assessments J. Winter et al. https://doi.org/10.1016/j.ancene.2017.05.002
5449. The Climate Data for Adaptation and Vulnerability Assessments and the Spatial Interactions Downscaling Method A. de Lima Moraes & S. Khoshnood Motlagh https://doi.org/10.1038/s41597-024-03995-6
5450. Drought drives elevated antibiotic resistance across soils X. Shan et al. https://doi.org/10.1038/s41564-026-02274-x
5451. Projections for ocean currents’ transport and positioning from CMIP6 models R. Toste et al. https://doi.org/10.1007/s00382-026-08385-9
5452. Acute climate risks in the financial system: examining the utility of climate model projections A. Pitman et al. https://doi.org/10.1088/2752-5295/ac856f
5453. The Diurnal Cycle of Precipitation according to Multiple Decades of Global Satellite Observations, Three CMIP6 Models, and the ECMWF Reanalysis D. Watters et al. https://doi.org/10.1175/JCLI-D-20-0966.1
5454. A New Index to Assess the Effect of Climate Change on Karst Spring Flow Rate A. Behrouj Peely et al. https://doi.org/10.3390/su16031326
5455. Increased extreme swings of Atlantic intertropical convergence zone in a warming climate Y. Liu et al. https://doi.org/10.1038/s41558-022-01445-y
5456. Quantifying the Effects of Climate Change on Aircraft Take-Off Performance at European Airports J. Williams et al. https://doi.org/10.3390/aerospace12030165
5457. Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment: A Case Study of Shanghai Y. Qin et al. https://doi.org/10.3390/urbansci9090331
5458. Deep Climate Model Distillation for Localized Flood Forecasting in Low-Resource Areas J. Olaniyan et al. https://doi.org/10.3390/meteorology5020016
5459. Seasonal Arctic sea ice forecasting with probabilistic deep learning T. Andersson et al. https://doi.org/10.1038/s41467-021-25257-4
5460. When hot nights will not allow to relax: Projections of co-occurring extreme heat events over Central Europe under policy-relevant global warming levels A. Szabó et al. https://doi.org/10.1016/j.cliser.2026.100721
5461. Climate-resilient strategy planning using the SWOT methodology: A case study of the Japanese wind energy sector L. Bachmann et al. https://doi.org/10.1016/j.crm.2024.100665
5462. Soil carbon loss in warmed subarctic grasslands is rapid and restricted to topsoil N. Verbrigghe et al. https://doi.org/10.5194/bg-19-3381-2022
5463. TheDiaTo (v1.0) – a new diagnostic tool for water, energy and entropy budgets in climate models V. Lembo et al. https://doi.org/10.5194/gmd-12-3805-2019
5464. Uncertainty of SW Cloud Radiative Effect in Atmospheric Models Due to the Parameterization of Liquid Cloud Optical Properties E. Jahangir et al. https://doi.org/10.1029/2021MS002742
5465. Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing S. Tang et al. https://doi.org/10.1016/j.gloplacha.2025.105252
5466. Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 D. Waliser et al. https://doi.org/10.5194/gmd-13-2945-2020
5467. Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate K. Schulze et al. https://doi.org/10.1007/s11027-023-10066-5
5468. A climate data record of atmospheric moisture and sea surface temperature from satellite observations Y. Fu et al. https://doi.org/10.5194/essd-17-4651-2025
5469. A dataset of CMIP6-based climate scenarios for climate change impact assessment in Great Britain M. Semenov et al. https://doi.org/10.1016/j.dib.2024.110709
5470. Cerrado native vegetation is a refuge for birds under the current climate change trajectory J. Hidasi‐Neto et al. https://doi.org/10.1111/aec.13242
5471. Climatic Niche Divergence and Conservatism Promote Speciation in Snake-Eyed Skinks (Sauria: Scincidae): New Insight into the Evolution and Diversification of Ablepharus Species S. Vaissi et al. https://doi.org/10.1007/s11692-023-09603-6
5472. The Impacts of Climate Change on Aircraft Noise near European Airports J. Williams et al. https://doi.org/10.3390/aerospace12090815
5473. Quantifying CMIP6 models’ performance in simulating marine heatwaves over the Indian Ocean region: A comprehensive analysis of key MHW properties and future projections S. Swetha & K. Ramesh https://doi.org/10.1007/s12040-025-02532-2
5474. Sub-daily scale rainfall extremes in India and incongruity between hourly rain gauges data and CMIP6 models K. Saikranthi et al. https://doi.org/10.1038/s41612-024-00885-x
5475. Spatiotemporal analysis of ENSO-IOD teleconnections and GCM-projected hydroclimatic shifts in a western Himalayan basin C. Kant et al. https://doi.org/10.2166/wcc.2026.297
5476. Strengthened impact of boreal winter North Pacific Oscillation on ENSO development in warming climate S. Chen et al. https://doi.org/10.1038/s41612-024-00615-3
5477. Decadal extreme drought reduces alpine subsoil carbon stocks R. Zhou et al. https://doi.org/10.1073/pnas.2517468123
5478. Diagnosing Transient Response to CO2 Forcing in Coupled Atmosphere‐Ocean Model Experiments Using a Climate Model Emulator J. Tsutsui https://doi.org/10.1029/2019GL085844
5479. Antarctic Sea Ice Area in CMIP6 L. Roach et al. https://doi.org/10.1029/2019GL086729
5480. Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. https://doi.org/10.1029/2021MS002982
5481. Remote carbon cycle changes are overlooked impacts of land cover and land management changes S. Guo et al. https://doi.org/10.5194/esd-16-631-2025
5482. Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data S. Paudel et al. https://doi.org/10.3390/forecast5020022
5483. Performance evaluation of CMIP6 models for application to hydrological modelling studies – A case study of Australia R. Adhikari et al. https://doi.org/10.1016/j.scitotenv.2024.174015
5484. Ningaloo Niño/Niña in CMIP6 Models: Characteristics, Mechanisms, and Climate Impacts J. Xue et al. https://doi.org/10.1029/2022GL099781
5485. Critical classification parameters linking species to Plant Functional Type in African ecosystems E. Akhabue et al. https://doi.org/10.1038/s41597-026-06728-z
5486. Challenges in the attribution of river flood events P. Scussolini et al. https://doi.org/10.1002/wcc.874
5487. A methodology and implementation of automated emissions harmonization for use in Integrated Assessment Models M. Gidden et al. https://doi.org/10.1016/j.envsoft.2018.04.002
5488. Multi-criteria hybrid-based bias correction selection, and machine learning ensemble modeling to improve extreme climate event projections in the Tendaho Catchment, Ethiopia A. Guyasa et al. https://doi.org/10.1007/s00704-025-05908-y
5489. Geochemistry of major and trace elements in sediments from the Lubei Plain, China: Constraints for paleoclimate, paleosalinity, and paleoredox environment C. Zou et al. https://doi.org/10.1016/j.jaesx.2021.100071
5490. Probabilistic life-cycle assessment of landslides exposed to both rainfall under nonstationary climate change effects and earthquakes Z. He et al. https://doi.org/10.1016/j.strusafe.2025.102599
5491. Projected response of global runoff to El Niño-Southern oscillation T. Le et al. https://doi.org/10.1088/1748-9326/ac13ed
5492. Dynamic vegetation highlights first-order climate feedbacks and their dependence on the climate mean state P. Braconnot et al. https://doi.org/10.5194/esd-16-2113-2025
5493. Impact of rising temperatures on the biomass of humid old-growth forests of the world M. Larjavaara et al. https://doi.org/10.1186/s13021-021-00194-3
5494. Projected changes in annual maximum discharge for Iowa communities A. Michalek et al. https://doi.org/10.1016/j.jhydrol.2023.129957
5495. Projecting precipitation extremes over Cyprus using CMIP6 climate scenarios N. Gödek Hayal et al. https://doi.org/10.1007/s11069-026-08119-4
5496. Investigating climate change impacts from hydroclimatic trends and land cover change in Afghanistan’s Helmand River Basin N. Akhundzadah https://doi.org/10.1007/s00704-025-05914-0
5497. District-scale prediction and near-term projection of pre-monsoon rainfall over Andhra Pradesh, India using CMIP6 climate models and machine learning G. Mounika et al. https://doi.org/10.1007/s11600-026-02010-3
5498. Historical and future shifts of a sharp zonal aridity gradient: A case study of the Hu Line in China F. Ruan et al. https://doi.org/10.1016/j.jhydrol.2022.128590
5499. Surface Solar Radiation: Observation, Data, and Long-Term Variations B. Jiao et al. https://doi.org/10.1007/s13351-025-4902-y
5500. Optimising water allocation with hybrid machine learning–water evaluation and planning under climate and population pressure in Upper Awash–Akaki, Ethiopia D. Hirko et al. https://doi.org/10.2166/hydro.2026.098
5501. Two Approaches of the Spring North Atlantic Sea Surface Temperature Affecting the Following July Precipitation over Central China: The Tropical and Extratropical Pathways L. Chen et al. https://doi.org/10.1175/JCLI-D-21-1012.1
5502. High-resolution downscaled CMIP6 drought projections for Australia R. Eccles et al. https://doi.org/10.5194/hess-29-4689-2025
5503. Reduction in Near‐Surface Wind Speeds With Increasing CO2 May Worsen Winter Air Quality in the Indo‐Gangetic Plain F. Paulot et al. https://doi.org/10.1029/2022GL099039
5504. Limited reversal of regional climate signals in overshoot scenarios P. Pfleiderer et al. https://doi.org/10.1088/2752-5295/ad1c45
5505. Modulation of regional carbon uptake by AMOC and alkalinity changes in the subpolar North Atlantic under a warming climate Q. Zhang et al. https://doi.org/10.3389/fmars.2024.1304193
5506. Selecting CMIP6 Models for Future Arctic Storylines Using a Novel Performance Score L. Graff et al. https://doi.org/10.16993/tellusa.4111
5507. Tropical cyclone rainfall extends inland E. Deng et al. https://doi.org/10.1038/s41467-026-70647-1
5508. Direct observation of Earth’s spectral long-wave feedback parameter F. Roemer et al. https://doi.org/10.1038/s41561-023-01175-6
5509. Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. https://doi.org/10.1029/2020MS002456
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5511. MaxEnt Modeling Based on CMIP6 Models to Project Potential Suitable Zones for Cunninghamia lanceolata in China Y. Zhou et al. https://doi.org/10.3390/f12060752
5512. Limits to management adaptation for the Indus’ irrigated agriculture B. Droppers et al. https://doi.org/10.1016/j.agrformet.2022.108971
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5514. Relationship between shortwave radiation bias over the Southern Ocean and the double‐intertropical convergence zone problem in MRI‐ESM2 H. Kawai et al. https://doi.org/10.1002/asl.1064
5515. Controlling factors of wildfires in Australia and their changes under global warming H. Bui et al. https://doi.org/10.1088/1748-9326/ad69a9
5516. Going back for the future: Incorporating Pleistocene fossil records of saiga antelope into habitat suitability models M. Mills et al. https://doi.org/10.1111/jbi.14831
5517. Central Asian Future Dynamics of Coldwave and Cold Spell Under Changing Climate D. Ledari et al. https://doi.org/10.1002/joc.70585
5518. Limited increases in Arctic offshore oil and gas production with climate change and the implications for energy markets Y. Zhang et al. https://doi.org/10.1038/s41598-024-54007-x
5519. Projected intensification of drought in the Kızılırmak Basin, Türkiye, under CMIP6 climate scenarios: comparative evaluation of multi-model and multi-index approaches V. Kartal et al. https://doi.org/10.1007/s00703-025-01097-5
5520. Climate Change Projections for Stroke Incidence in Taiwan: Impact of 2 °C and 4 °C Global Warming Level W. Wu et al. https://doi.org/10.1007/s44197-024-00289-3
5521. Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations D. Sidorenko et al. https://doi.org/10.1029/2019MS001696
5522. Real-time predictions of the 2023–2024 climate conditions in the tropical Pacific using a purely data-driven Transformer model R. Zhang et al. https://doi.org/10.1007/s11430-024-1396-x
5523. Climate change may reduce suitable habitat for freshwater fish in a tropical watershed L. Peluso et al. https://doi.org/10.1007/s10584-023-03526-z
5524. Impact of Atlantic multidecadal variability on rainfall intensity distribution and timing of the West African monsoon E. Mohino et al. https://doi.org/10.5194/esd-15-15-2024
5525. Comparison of Future Changes in Frequency of Climate Extremes between Coastal and Inland Locations of Bengal Delta Based on CMIP6 Climate Models S. Das et al. https://doi.org/10.3390/atmos13111747
5526. Future Climate Change Impacts on Extreme Precipitation: Exposure Risks for Urban Populations and Cropland in North China C. Yu et al. https://doi.org/10.1002/joc.8902
5527. Extreme coastal El Niño events are tightly linked to the development of the Pacific Meridional Modes C. Martinez-Villalobos et al. https://doi.org/10.1038/s41612-024-00675-5
5528. A Flexible Snow Model (FSM 2.1.1) including a forest canopy R. Essery et al. https://doi.org/10.5194/gmd-18-3583-2025
5529. Evaluation of spatiotemporal variation and driving forces of baseflow coupled with CMIP6 and LUCC in the source region of the Yangtze River, China H. Ren et al. https://doi.org/10.2166/wcc.2025.690
5530. Opportunities and challenges in using remaining carbon budgets to guide climate policy H. Matthews et al. https://doi.org/10.1038/s41561-020-00663-3
5531. Clear-sky control of anvils in response to increased CO2 or surface warming or volcanic eruptions M. Saint-Lu et al. https://doi.org/10.1038/s41612-022-00304-z
5532. Global Environmental Change Perspectives on Integrated, Coordinated, Open, and Networked (ICON) Science G. Koren et al. https://doi.org/10.1029/2022EA002231
5533. Spatiotemporal Evolution of Glacier Mass Balance and Runoff Response in a High Mountain Basin Under Climate Change C. Zhang et al. https://doi.org/10.3390/atmos17020178
5534. Validation of Australian atmospheric aerosols from reanalysis data and CMIP6 simulations A. Isaza et al. https://doi.org/10.1016/j.atmosres.2021.105856
5535. Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China X. Hu et al. https://doi.org/10.1016/j.flora.2025.152677
5536. Reduced Asian monsoon influence on Mediterranean summers in a warmer climate H. Yu et al. https://doi.org/10.1038/s41561-026-02091-1
5537. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. https://doi.org/10.5194/esd-15-1319-2024
5538. Tropospheric ozone in CMIP6 simulations P. Griffiths et al. https://doi.org/10.5194/acp-21-4187-2021
5539. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
5540. Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management P. Burek et al. https://doi.org/10.5194/gmd-13-3267-2020
5541. Understanding human influence on climate change in China Y. Sun et al. https://doi.org/10.1093/nsr/nwab113
5542. Modelled surface climate response to effusive Icelandic volcanic eruptions: sensitivity to season and size T. Zoëga et al. https://doi.org/10.5194/acp-25-2989-2025
5543. Organising a collaborative online hackathon for cutting‐edge climate research J. Thomas et al. https://doi.org/10.1002/wea.4199
5544. Drought monitoring of sugarcane and dynamic variation characteristics under global warming: A case study of Guangxi, China S. Guga et al. https://doi.org/10.1016/j.agwat.2022.108035
5545. Evaluation of the performance of CMIP6 models in simulating precipitation over Morocco H. Ayt Ougougdal et al. https://doi.org/10.1007/s42990-024-00121-x
5546. Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming R. McDonald et al. https://doi.org/10.1038/s41467-026-71825-x
5547. Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden https://doi.org/10.1103/RevModPhys.93.045002
5548. Performance of regional climate model RegCM4 with a hydrostatic or non‐hydrostatic dynamic core at simulating precipitation extremes in China P. Qin et al. https://doi.org/10.1002/joc.8257
5549. Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation Z. Khan et al. https://doi.org/10.3389/fenvs.2022.918085
5550. Reduction of uncertainty in near-term climate forecast by combining observations and decadal predictions R. Bonnet et al. https://doi.org/10.5194/esd-17-1299-2026
5551. Unevenly distributed CO2 and its impacts on terrestrial carbon uptake under the changing land uses S. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.166805
5552. Long-Term Impacts of Partial Afforestation on Water and Salt Dynamics of an Intermittent Catchment under Climate Change H. Daneshmand et al. https://doi.org/10.3390/w12041067
5553. Modeling climate change effects on water balance, streamflow generation, and permafrost dynamics in the Nelson Churchill River Basin: a HYPE model approach A. Bajracharya et al. https://doi.org/10.1080/07011784.2025.2509226
5554. The role of climate and population change in global flood exposure and vulnerability J. Rogers et al. https://doi.org/10.1038/s41467-025-56654-8
5555. Asymmetry in carbon cycle feedbacks and transient climate response under positive and negative CO2 emissions V. Chimuka & K. Zickfeld https://doi.org/10.5194/bg-23-6211-2026
5556. Trends in Temperature, Precipitation, Potential Evapotranspiration, and Water Availability across the Teesta River Basin under 1.5 and 2 °C Temperature Rise Scenarios of CMIP6 S. Das et al. https://doi.org/10.3390/atmos13060941
5557. Bias-Aware Screening of Projected Annual Sea-Level-Cycle Amplification Relative to Tidal Range Along East Asian Coastal and Shelf-Sea Margins Y. Kuo et al. https://doi.org/10.1007/s12601-026-00305-6
5558. Spatiotemporal changes in rainfall and droughts of Bangladesh for1.5 and 2 °C temperature rise scenarios of CMIP6 models A. Kamal et al. https://doi.org/10.1007/s00704-021-03735-5
5559. Impacts of 1.5°C and 2.0°C Global Warming on the Onset, Cessation, and Length of the Rainy Season in Global Land Monsoon Regions T. Taguela et al. https://doi.org/10.1007/s00376-025-4386-9
5560. Modelling and geospatial mapping of whitefly Bemisia tabaci population dynamics in cassava-growing areas of Sub-Saharan Africa in response to climate change F. Ndjomatchoua & C. Gilligan https://doi.org/10.1016/j.agrformet.2026.111059
5561. Classification of extreme heatwave events in the Northern Hemisphere through a new method Y. Wang & C. Wang https://doi.org/10.1007/s00382-022-06649-8
5562. WACCM6 Projections of Polar Mesospheric Cloud Abundance Over the 21st Century W. Yu et al. https://doi.org/10.1029/2023JD038985
5563. AerChemMIP2 – unraveling the role of reactive gases, aerosol particles, and land use for air quality and climate change in CMIP7 S. Fiedler et al. https://doi.org/10.5194/gmd-19-3477-2026
5564. Climate change will limit the potential for intensification in Senegal A. Mbengue et al. https://doi.org/10.1088/2515-7620/ae59f4
5565. A Last Glacial Maximum forcing dataset for ocean modelling A. Morée & J. Schwinger https://doi.org/10.5194/essd-12-2971-2020
5566. Clouds and Convective Self‐Aggregation in a Multimodel Ensemble of Radiative‐Convective Equilibrium Simulations A. Wing et al. https://doi.org/10.1029/2020MS002138
5567. Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China B. Liu et al. https://doi.org/10.1002/wll2.70030
5568. The remote sensing of radiative forcing by light-absorbing particles (LAPs) in seasonal snow over northeastern China W. Pu et al. https://doi.org/10.5194/acp-19-9949-2019
5569. Increasing probability of humid-heat extremes outpaces that of dry-heat extremes in global land monsoon regions under anthropogenic warming L. Li et al. https://doi.org/10.1016/j.accre.2026.06.024
5570. Atlantic Meridional Overturning Circulation Decline: Tipping Small Scales under Global Warming R. Gou et al. https://doi.org/10.1103/PhysRevLett.133.034201
5571. Projected elevation-dependent warming in the Alps: contrasting free-atmosphere and surface trends with surface energy balance drivers I. Castellanos et al. https://doi.org/10.5194/esd-17-581-2026
5572. Impact of climate change on the distribution of the invasive water hyacinth in Ethiopia A. Hussein et al. https://doi.org/10.2989/16085914.2024.2421797
5573. Comparison of Coupled Model Intercomparison Project Phases 5 and 6 in Simulating Diurnal Cloud Cycle Z. Jiang et al. https://doi.org/10.3390/atmos15030381
5574. A Basic Effect of Cloud Radiative Effects on Tropical Sea Surface Temperature Variability Y. Li et al. https://doi.org/10.1175/JCLI-D-19-0298.1
5575. Greater Greenland Ice Sheet contribution to global sea level rise in CMIP6 S. Hofer et al. https://doi.org/10.1038/s41467-020-20011-8
5576. Disentangling the North Pacific Meridional Mode from tropical Pacific variability I. Richter et al. https://doi.org/10.1038/s41612-022-00317-8
5577. An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record C. Ouyang et al. https://doi.org/10.5194/essd-18-6503-2026
5578. Climate change effects on the potential distribution of the endemic Commiphora species (Burseraceae) on the island of Socotra D. La Montagna et al. https://doi.org/10.3389/ffgc.2023.1183858
5579. Differentiable modelling to unify machine learning and physical models for geosciences C. Shen et al. https://doi.org/10.1038/s43017-023-00450-9
5580. Rising flood risks in semiarid South Asia driven by changing intraseasonal oscillations under global warming J. Xie et al. https://doi.org/10.1126/sciadv.aea0082
5581. Increasing irrigation water requirements across croplands in the Contiguous United States throughout the 21st century H. Yang et al. https://doi.org/10.1016/j.agwat.2025.110044
5582. Impacts of land use conversions on soil organic carbon in a warming-induced agricultural frontier in Northern Ontario, Canada under historical and future climate R. Jiang et al. https://doi.org/10.1016/j.jclepro.2023.136902
5583. Cloud and Surface Albedo Feedbacks Reshape 21st Century Warming in Successive Generations of An Earth System Model D. Schneider et al. https://doi.org/10.1029/2022GL100653
5584. Predicting the impact of climate change on forest composition, deer, and outdoor recreation using structural equation modeling (SEM) in northeastern Minnesota B. Bakshi et al. https://doi.org/10.1016/j.jenvman.2025.126695
5585. Earth system responses to different levels of greenhouse gas emissions mitigation P. Friedlingstein et al. https://doi.org/10.3389/fclim.2024.1480208
5586. Potential for equation discovery with AI in the climate sciences C. Huntingford et al. https://doi.org/10.5194/esd-16-475-2025
5587. Climate projections for Himalaya–Tibetan Highland D. Bhuyan et al. https://doi.org/10.1007/s00704-023-04677-w
5588. Projection of future drought characteristics in the Great South of Madagascar using CMIP6 and bias-correction spatial disaggregation method M. Rabezanahary Tanteliniaina & M. Andrianarimanana https://doi.org/10.1007/s00704-023-04727-3
5589. Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100 T. Sun et al. https://doi.org/10.1038/s41597-025-05918-5
5590. ESD Ideas: Arctic amplification's contribution to breaches of the Paris Agreement A. Duffey et al. https://doi.org/10.5194/esd-14-1165-2023
5591. Long-term changes in depth distribution and phenology of four North Atlantic plankton species J. Castant et al. https://doi.org/10.3354/meps14945
5592. Ocean Warming: From the Surface to the Deep in Observations and Models P. Durack et al. https://doi.org/10.5670/oceanog.2018.227
5593. Regional climate projections using a deep-learning–based model-ranking and downscaling framework: application to European climate zones P. Loganathan et al. https://doi.org/10.1007/s11356-025-36872-9
5594. Spatial and Temporal Analysis of Climatic Zones in Kazakhstan Using Google Earth Engine K. Yessimkhanova & M. Gede https://doi.org/10.3390/ijgi15020057
5595. Global water use efficiency saturation due to increased vapor pressure deficit F. Li et al. https://doi.org/10.1126/science.adf5041
5596. Investigating stable oxygen and carbon isotopic variability in speleothem records over the last millennium using multiple isotope-enabled climate models J. Bühler et al. https://doi.org/10.5194/cp-18-1625-2022
5597. Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble S. Kim et al. https://doi.org/10.3390/w17060894
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5603. Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
5604. Spatiotemporal analysis of climatic and anthropogenic drivers of winter smog in the Indo-Gangetic Plain with a focus on Lahore M. Ghani et al. https://doi.org/10.1007/s11356-026-37816-7
5605. Using Clustering, Statistical Modeling, and Climate Change Projections to Analyze Recent and Future Region‐Specific Compound Ozone and Temperature Burden Over Europe S. Jahn & E. Hertig https://doi.org/10.1029/2021GH000561
5606. Realistic Quasi‐Biennial Oscillation Variability in Historical and Decadal Hindcast Simulations Using CMIP6 Forcing H. Pohlmann et al. https://doi.org/10.1029/2019GL084878
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5611. Elevation-dependent warming: observations, models, and energetic mechanisms M. Byrne et al. https://doi.org/10.5194/wcd-5-763-2024
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5623. Impact of oceanic warming on electromagnetic oceanic tidal signals: A CMIP5 climate model‐based sensitivity study J. Saynisch et al. https://doi.org/10.1002/2017GL073683
5624. Estimates of mass absorption cross sections of black carbon for filter-based absorption photometers in the Arctic S. Ohata et al. https://doi.org/10.5194/amt-14-6723-2021
5625. A Transition Towards an Unusually Wet Condition Will Not Alleviate Water Scarcity Risk in Xinjiang, China Y. Feng et al. https://doi.org/10.1029/2021AV000589
5626. On the Simulations of Global Oceanic Latent Heat Flux in the CMIP5 Multimodel Ensemble R. Zhang et al. https://doi.org/10.1175/JCLI-D-17-0713.1
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5629. A new perspective on permafrost boundaries in France during the Last Glacial Maximum K. Stadelmaier et al. https://doi.org/10.5194/cp-17-2559-2021
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5640. Tropical Precipitation Woes in the Community Earth System Model Version 2 M. Lofverstrom & J. Zhu https://doi.org/10.1029/2023GL104416
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5648. Predicting the potential distribution of wintering Asian Great Bustard (Otis tarda dybowskii) in China: Conservation implications Z. Lu et al. https://doi.org/10.1016/j.gecco.2021.e01817
5649. Historical variability of Coupled Model Intercomparison Project Version 6 (CMIP6)-driven surface winds and global reanalysis data for the Eastern Mediterranean I. Çetin et al. https://doi.org/10.1007/s00704-024-04869-y
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5652. Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6 J. Yu et al. https://doi.org/10.3390/w14192996
5653. Widespread Grounding Line Retreat of Totten Glacier, East Antarctica, Over the 21st Century T. Pelle et al. https://doi.org/10.1029/2021GL093213
5654. North Pacific Upper-Ocean Cold Temperature Biases in CMIP6 Simulations and the Role of Regional Vertical Mixing Y. Zhu et al. https://doi.org/10.1175/JCLI-D-19-0654.1
5655. Simulation of atmospheric carbon dioxide removal and its projected impacts on water balance over West Africa U. K & A. O https://doi.org/10.1007/s42865-026-00135-3
5656. Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models H. Chen et al. https://doi.org/10.3390/atmos14061044
5657. Persistence of North Atlantic ocean heat uptake following CO2 concentration maximum Y. Zhang & C. Chen https://doi.org/10.1007/s00382-024-07397-7
5658. A multi-model analysis of the decadal prediction skill for the North Atlantic ocean heat content T. Carmo-Costa et al. https://doi.org/10.5194/esd-16-1001-2025
5659. Evaluation of NEX-GDDP-CMIP6 to simulate precipitation using multi-criteria decision-making analysis over Türkiye M. Yılmaz et al. https://doi.org/10.1007/s00704-025-05805-4
5660. Effects of anthropogenic forcing and atmospheric circulation on the record-breaking welt bulb heat event over southern China in September 2021 D. WANG & Y. SUN https://doi.org/10.1016/j.accre.2022.11.007
5661. The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al. https://doi.org/10.5194/gmd-19-2821-2026
5662. Varied midlatitude shortwave cloud radiative responses to Southern Hemisphere circulation shifts M. Kelleher & K. Grise https://doi.org/10.1002/asl.1068
5663. Temperature Thresholds for Carbon Flux Variation and Warming‐Induced Changes C. Fu et al. https://doi.org/10.1029/2023JD039747
5664. Beyond the mean: the macroeconomic consequences of shifting temperature anomaly distributions D. Winter et al. https://doi.org/10.1007/s10584-026-04257-7
5665. Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. https://doi.org/10.1029/2021EF002487
5666. Emergent constraint indicates forced decline in European winter windstorm frequency M. Priestley et al. https://doi.org/10.1088/1748-9326/ae845f
5667. Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios M. Ling et al. https://doi.org/10.1016/j.ecoinf.2024.102790
5668. Ranking of CMIP6 based High-resolution Global Climate Models for India using TOPSIS R. Thakur & V. Manekar https://doi.org/10.1080/09715010.2021.2015462
5669. A past and present perspective on the European summer vapor pressure deficit V. Nagavciuc et al. https://doi.org/10.5194/cp-20-573-2024
5670. Marine ecosystem role in setting up preindustrial and future climate J. Tjiputra et al. https://doi.org/10.1038/s41467-025-57371-y
5671. Cascading effects augment the direct impact of CO2 on phytoplankton growth in a biogeochemical model M. Seifert et al. https://doi.org/10.1525/elementa.2021.00104
5672. Assessing the projected impacts of climate change on underwater cultural heritage in the Nuevo Gulf, Argentina V. Meccia et al. https://doi.org/10.1016/j.culher.2026.09.001
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5674. Variability and Changes in Temperature, Precipitation and Snow in the Desaguadero-Salado-Chadileuvú-Curacó Basin, Argentina G. Müller & M. Lovino https://doi.org/10.3390/cli11070135
5675. Global monsoon in ICON: the scale-dependent response of Northern Hemisphere monsoons P. Pothapakula et al. https://doi.org/10.5194/wcd-7-979-2026
5676. Influence of model resolution on bomb cyclones revealed by HighResMIP-PRIMAVERA simulations G. Jiaxiang et al. https://doi.org/10.1088/1748-9326/ab88fa
5677. Projecting Future Vegetation Change for Northeast China Using CMIP6 Model W. Yuan et al. https://doi.org/10.3390/rs13173531
5678. Decomposing the Drivers of Polar Amplification with a Single-Column Model M. Henry et al. https://doi.org/10.1175/JCLI-D-20-0178.1
5679. Influence of frozen hydrometeor–radiation interactions on moisture biases in CMIP6 models over the tropical and subtropical pacific J. Li et al. https://doi.org/10.1088/2515-7620/ae9c0b
5680. Sea Ice Formation in a Coupled Climate Model Including Grease Ice S. Mackie et al. https://doi.org/10.1029/2020MS002103
5681. Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. https://doi.org/10.1016/j.rser.2025.116284
5682. Projection of fire weather index in Daxing’anling, Northeast China using a machine learning-based CMIP6 multi-model ensemble S. Debulois et al. https://doi.org/10.1007/s10584-026-04140-5
5683. Hysteresis of the intertropical convergence zone to CO2 forcing J. Kug et al. https://doi.org/10.1038/s41558-021-01211-6
5684. Modeling and prediction of climate change impacts on water resources vulnerability: A multi-model approach T. Mengistu et al. https://doi.org/10.1016/j.jenvman.2025.126025
5685. A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables G. Bénard et al. https://doi.org/10.5194/esd-16-1085-2025
5686. Human Influence on Global-Scale Climate Change Y. KOSAKA https://doi.org/10.5363/tits.27.1_66
5687. Exploring climate stabilisation at different global warming levels in ACCESS-ESM-1.5 A. King et al. https://doi.org/10.5194/esd-15-1353-2024
5688. Estimating future heat-related and cold-related mortality under climate change, demographic and adaptation scenarios in 854 European cities P. Masselot et al. https://doi.org/10.1038/s41591-024-03452-2
5689. Future changes in aridity in the Upper Indus Basin during the twenty-first century X. Wang et al. https://doi.org/10.3354/cr01684
5690. Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations Y. Yamada et al. https://doi.org/10.1186/s40645-020-00397-1
5691. Constraining extreme precipitation projections using past precipitation variability W. Zhang et al. https://doi.org/10.1038/s41467-022-34006-0
5692. Impacts of climate change on asphalt pavement infrastructure: a case study of Hunan Province, China L. Zhu et al. https://doi.org/10.1080/10298436.2026.2672574
5693. Large spread in interannual variance of atmospheric CO2 concentration across CMIP6 Earth System Models V. Martín-Gómez et al. https://doi.org/10.1038/s41612-023-00532-x
5694. Improved decadal predictions of East Asian summer temperature based on decadal increment and observational constraint J. Qian et al. https://doi.org/10.1016/j.accre.2026.04.010
5695. Downscaling ensemble climate projections to urban scale: Brussels's future climate at 1.5 °C, 2 °C, and 3 °C global warming F. Duchêne et al. https://doi.org/10.1016/j.uclim.2022.101319
5696. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein https://doi.org/10.1029/2023GL105795
5697. Male-producing beaches in the Pacific: crucial refuges for sea turtles facing climate change R. Vinueza-Chérrez et al. https://doi.org/10.1007/s10584-025-04050-y
5698. Non-native plant invasion after fire in western USA varies by functional type and with climate J. Prevéy et al. https://doi.org/10.1007/s10530-023-03235-9
5699. Evaluation of CMIP6 model performance and future climate projections over the Genale dawa river basin, Ethiopia F. Chanie https://doi.org/10.1038/s41598-025-29498-x
5700. Strong increase in thawing of subsea permafrost in the 22nd century caused by anthropogenic climate change S. Wilkenskjeld et al. https://doi.org/10.5194/tc-16-1057-2022
5701. Future Köppen-Geiger climate zones over Southeast Asia using CMIP6 Multimodel Ensemble M. Hamed et al. https://doi.org/10.1016/j.atmosres.2022.106560
5702. Prioritizing the selection of CMIP6 model ensemble members for downscaling projections of CONUS temperature and precipitation J. Longmate et al. https://doi.org/10.1007/s00382-023-06846-z
5703. A methodology to estimate Probable Maximum Precipitation (PMP) under climate change using a numerical weather model Y. Hiraga et al. https://doi.org/10.1016/j.jhydrol.2024.132659
5704. Environmental records from coral skeletons: A decade of novel insights and innovation D. Thompson https://doi.org/10.1002/wcc.745
5705. Machine learning and statistical approaches for wind speed estimation at partially sampled and unsampled locations; review and open questions F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.enconman.2025.119555
5706. Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model M. Brennan et al. https://doi.org/10.1029/2022GL101656
5707. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. https://doi.org/10.1007/s10712-023-09781-0
5708. The impact of ENSO and NAO initial conditions and anomalies on the modeled response to Pinatubo-sized volcanic forcing H. Weierbach et al. https://doi.org/10.5194/acp-23-15491-2023
5709. Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al. https://doi.org/10.1007/s00382-023-06781-z
5710. Projections of extreme weather events according to climate change scenarios and populations at-risk in Brazil L. Dantas et al. https://doi.org/10.1007/s10584-025-03989-2
5711. Streamflow of the Betwa River under the Combined Effect of LU-LC and Climate Change A. Kumar et al. https://doi.org/10.3390/agriculture12122005
5712. Revised estimates of temperature changes under net zero CO2 emissions A. Borowiak et al. https://doi.org/10.1038/s41612-025-01148-z
5713. Coupling framework (1.0) for the PISM (1.1.4) ice sheet model and the MOM5 (5.1.0) ocean model via the PICO ice shelf cavity model in an Antarctic domain M. Kreuzer et al. https://doi.org/10.5194/gmd-14-3697-2021
5714. Analysis of Near-Surface Air Temperature Trends in Brazil Region Using Meteorological Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13110235
5715. Arctic Warming and Associated Sea Ice Reduction in the Early 20th Century Induced by Natural Forcings in MRI‐ESM2.0 Climate Simulations and Multimodel Analyses T. Aizawa et al. https://doi.org/10.1029/2020GL092336
5716. A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections Y. Duan & S. Kumar https://doi.org/10.1088/2752-5295/ad3a0c
5717. Calibrated EMOS: applications to temperature and wind speed forecasting C. Gaetan et al. https://doi.org/10.1007/s10651-024-00606-w
5718. Implementation and evaluation of a dynamic root water uptake scheme in the Beijing climate center climate system model J. Chen et al. https://doi.org/10.1007/s00382-025-07883-6
5719. The role of local topography and sea surface temperature on summer monsoon precipitation over Bangladesh and northeast India A. Fahad et al. https://doi.org/10.1002/joc.7490
5720. Tipping points in ocean and atmosphere circulations S. Loriani et al. https://doi.org/10.5194/esd-16-1611-2025
5721. Stronger temperature–moisture couplings exacerbate the impact of climate warming on global crop yields C. Lesk et al. https://doi.org/10.1038/s43016-021-00341-6
5722. Polar night jet characterization through artificial intelligence M. Rodríguez-Montes et al. https://doi.org/10.1016/j.cageo.2022.105176
5723. Projections of drought characteristics based on combined drought index under CMIP6 models M. Shafiei et al. https://doi.org/10.2166/wpt.2023.175
5724. The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM D. Lee et al. https://doi.org/10.1029/2019EA000663
5725. Mean states and future projections of precipitation over the monsoon transitional zone in China in CMIP5 and CMIP6 models J. Piao et al. https://doi.org/10.1007/s10584-021-03286-8
5726. Global groundwater warming due to climate change S. Benz et al. https://doi.org/10.1038/s41561-024-01453-x
5727. Detecting the human fingerprint in the summer 2022 western–central European soil drought D. Schumacher et al. https://doi.org/10.5194/esd-15-131-2024
5728. A modern-day Mars climate in the Met Office Unified Model: dry simulations D. McCulloch et al. https://doi.org/10.5194/gmd-16-621-2023
5729. Ecosystem service bundles under SSP-RCP and local scenarios: A pathway to comprehensive spatial planning for sustainability S. Zhou et al. https://doi.org/10.1016/j.resenv.2025.100211
5730. Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6 G. Hurtt et al. https://doi.org/10.5194/gmd-13-5425-2020
5731. Simulated and projected SST of Asian marginal seas based on CMIP6 models S. Jin et al. https://doi.org/10.3389/fmars.2023.1178974
5732. Overestimated Indian Ocean Dipole amplitude in CMIP6 models arises primarily from biased dynamic air–sea coupling J. Fu & Y. Zhang https://doi.org/10.1016/j.aosl.2026.100894
5733. Model sensitivity of Tibetan plateau surface potential vorticity and the Asian summer monsoon system to Asian orographic perturbation in FGOALS-f2 B. He et al. https://doi.org/10.1016/j.fmre.2023.08.013
5734. First comprehensive assessment of industrial-era land heat uptake from multiple sources F. García-Pereira et al. https://doi.org/10.5194/esd-15-547-2024
5735. Storylines of future drought in the face of uncertain rainfall projections: a New Zealand case study H. Lewis et al. https://doi.org/10.5194/esd-16-1557-2025
5736. Modeling the agricultural suitability of key crops under climate change scenarios in british columbia using spatial machine learning V. Vakhshoori et al. https://doi.org/10.1016/j.agrformet.2026.111492
5737. The Role of Small to Moderate Volcanic Eruptions in the Early 19th Century Climate S. Fang et al. https://doi.org/10.1029/2023GL105307
5738. Significant improvement of cloud representation in the global climate model MRI-ESM2 H. Kawai et al. https://doi.org/10.5194/gmd-12-2875-2019
5739. Multi-year La Niña–El Niño transition influenced Earth’s extreme energy uptake in 2022–2023 K. Tsuchida et al. https://doi.org/10.1038/s41561-026-01921-6
5740. Observed large-scale and deep-reaching compound ocean state changes over the past 60 years Z. Tan et al. https://doi.org/10.1038/s41558-025-02484-x
5741. Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways H. Sung et al. https://doi.org/10.1007/s13143-021-00225-6
5742. Ecosystem services values at risk in the Atlantic coastal zone due to sea-level rise and socioeconomic development L. Magalhães Filho et al. https://doi.org/10.1016/j.ecoser.2022.101492
5743. The reduced net carbon uptake over Northern Hemisphere land causes the close-to-normal CO 2 growth rate in 2021 La Niña J. Liu et al. https://doi.org/10.1126/sciadv.adl2201
5744. The Lack of QBO‐MJO Connection in CMIP6 Models H. Kim et al. https://doi.org/10.1029/2020GL087295
5745. Extreme-range precipitation probability across global weather systems S. Duan et al. https://doi.org/10.1126/sciadv.aec6879
5746. Climate Change Will Increase Biomass Proportion of Global Forest Carbon Stocks Under an SSP5–8.5 Climate Trajectory Z. Mekonnen & W. Riley https://doi.org/10.1029/2023GL104612
5747. Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling M. Armstrong et al. https://doi.org/10.1016/j.ejrh.2020.100728
5748. Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale D. Elia et al. https://doi.org/10.1109/ACCESS.2021.3079139
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5773. Evaluating sea ice thickness simulation is critical for projecting a summer ice-free Arctic Ocean X. Zhou et al. https://doi.org/10.1088/1748-9326/ac9d4d
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5775. Assessing Climate Impacts on Rice and Wheat Production using Satellite Imagery, CMIP6 Models, and Teleconnections M. Hussain & M. Iqbal https://doi.org/10.1007/s42106-026-00433-y
5776. Climate and management trade-offs shape açaí (Euterpe oleracea) fruit production across natural forests and plantation systems in the Amazon A. Dantas et al. https://doi.org/10.1016/j.tfp.2026.101419
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5778. High-resolution projections of summer compound humid-heat extremes and GDP exposure in Eastern China X. Yang et al. https://doi.org/10.1016/j.atmosres.2026.109341
5779. Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems H. Luo et al. https://doi.org/10.1038/s41467-026-69480-3
5780. Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models K. Zhang et al. https://doi.org/10.1007/s00376-021-0442-2
5781. The choice of land-based climate change mitigation measures influences future global biodiversity loss A. Hirata et al. https://doi.org/10.1038/s43247-024-01433-4
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5784. Assessing the potential and complementary characteristics of China's solar and wind energy under climate change Y. Fan et al. https://doi.org/10.1016/j.renene.2025.123213
5785. Projected global sulfur deposition with climate intervention H. Rubin et al. https://doi.org/10.1016/j.gecadv.2024.100011
5786. Amazon deforestation intensifies atmospheric aridity through locally dominant biophysical mechanisms M. Cheng et al. https://doi.org/10.1016/j.agrformet.2025.110693
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5790. Tropical-leaning Atlantic Oscillation favors more typhoons toward Asian high-latitude cities Z. Wu et al. https://doi.org/10.1038/s41467-025-67946-4
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5792. Future projections of winter cold surge paths over East Asia from CMIP6 models X. Yang et al. https://doi.org/10.1002/joc.6797
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5794. Wild Apples Are Not That Wild: Conservation Status and Potential Threats of Malus sieversii in the Mountains of Central Asia Biodiversity Hotspot Z. Tian et al. https://doi.org/10.3390/d14060489
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5799. Spatial and Temporal Rainfall Patterns in the Little Dry Season Over the Guinea Coast: Case Assessment of Historical Observations, Associated Drivers and Future Projections J. Aryee et al. https://doi.org/10.1002/met.70125
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5804. Development of multi-model ensembles using tree-based machine learning methods to assess the future renewable energy potential: case of the East Thrace, Turkey D. Guven https://doi.org/10.1007/s11356-023-28649-9
5805. A Dual-Ensemble Machine Learning Framework for Coconut Yield Projection Under CMIP6 Climate Scenarios in the Andaman and Nicobar Islands . Abhilash et al. https://doi.org/10.3390/cli14060123
5806. Differential Adaptive Potential and Vulnerability to Climate-Driven Habitat Loss in Brazilian Mangroves J. de Deus Vidal Junior et al. https://doi.org/10.3389/fcosc.2022.763325
5807. Modulation of Atlantic multidecadal oscillation on the relationship between ENSO and late-winter Southern Indian Ocean Dipole M. Xu et al. https://doi.org/10.1007/s00382-026-08208-x
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5812. An EOF-Based Emulator of Means and Covariances of Monthly Climate Fields G. Geogdzhayev et al. https://doi.org/10.5194/esd-17-235-2026
5813. Developing climate services for vulnerable islands in the Southwest Indian Ocean: A combined statistical and dynamical CMIP6 downscaling approach for climate change assessment M. Leroux et al. https://doi.org/10.1016/j.cliser.2024.100491
5814. Assessment of future water availability scenarios for São Lourenço supply system watershed in São Paulo, Brazil G. Calado & M. Valverde https://doi.org/10.1007/s40899-025-01257-w
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5816. Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO2 A. Winkler et al. https://doi.org/10.5194/bg-18-4985-2021
5817. XGBoost-based bias correction of CMIP6 precipitation in the Wabi Shebelle Basin, Ethiopia: a comparative study with empirical quantile mapping A. Tsegaye Tadase & A. Tekile https://doi.org/10.2166/wcc.2026.103
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5819. Integrated Hydrological and Water Allocation Modelling for Drought Management and Restriction Planning in a Regulated River Basin: Application to the Olt River Basin (Romania) M. Chevereșan et al. https://doi.org/10.3390/hydrology13020054
5820. Antarctic surface climate and surface mass balance in the Community Earth System Model version 2 during the satellite era and into the future (1979–2100) D. Dunmire et al. https://doi.org/10.5194/tc-16-4163-2022
5821. How Does Cloud Emissivity Feedback Affect Present and Future Arctic Warming? M. Nakanishi & T. Michibata https://doi.org/10.34133/olar.0089
5822. The Global‐Mean Precipitation Response to CO2‐Induced Warming in CMIP6 Models A. Pendergrass https://doi.org/10.1029/2020GL089964
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5824. Coupling the Common Land Model to ECHAM5 Atmospheric General Circulation Model Y. Xin et al. https://doi.org/10.1007/s13351-019-8117-y
5825. Impact of climate change on maize yields in North-East China A. Cottrell et al. https://doi.org/10.1088/2515-7620/aea5ef
5826. Nonlinear response of Equatorial Western Pacific phytoplankton blooms to ‘double-dip’ La Niña events R. Chen et al. https://doi.org/10.1088/2515-7620/acd1e7
5827. Regional patterns of heat wave and heat stress intensification across Europe from high-resolution WRF simulations under SSP scenarios Z. Ye et al. https://doi.org/10.1088/2752-5295/adec10
5828. Changes of South‐Central Pacific Large‐Scale Environment Associated With Hydrometeors‐Radiation‐Circulation Interactions in a Coupled GCM J. Li et al. https://doi.org/10.1029/2021JD034973
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5830. Projection of Forest Fire Hazard in Northern South America Using the Fire Weather Index Driven by NEX-GDDP-CMIP6 Climate Projections Y. Guerra et al. https://doi.org/10.1016/j.envc.2026.101659
5831. The relationship between extra-tropical cyclone intensity and precipitation in idealised current and future climates V. Sinclair & J. Catto https://doi.org/10.5194/wcd-4-567-2023
5832. Predicting meteorological drought in the Kabul River Basin using machine learning techniques and climate change projections U. Khan et al. https://doi.org/10.2166/wpt.2026.186
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5839. Future projections of winter haze events in northern East Asia under different Shared Socioeconomic Pathways (SSPs) J. Jeong et al. https://doi.org/10.1016/j.scitotenv.2025.180805
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5841. The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign A. Boone et al. https://doi.org/10.1016/j.jemets.2025.100007
5842. Intensified changes in extreme climate events over the Philippines region under future climate scenarios S. Ignacio-Reardon et al. https://doi.org/10.1007/s40808-025-02581-y
5843. Decadal change of extreme consecutive dry days in spring over the middle and lower reaches of the Yangtze River around the early 2000s: The synergistic effect of mega-El Niño/Southern Oscillation, Atlantic Multidecadal Oscillation, and Arctic sea ice Z. Zeng & J. Sun https://doi.org/10.1016/j.atmosres.2021.105936
5844. Summertime atmosphere–sea ice coupling in the Arctic simulated by CMIP5/6 models: Importance of large-scale circulation R. Luo et al. https://doi.org/10.1007/s00382-020-05543-5
5845. Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets G. Peng et al. https://doi.org/10.5334/dsj-2021-019
5846. Parametrization of Subgrid Scales in Long-Term Simulations of the Shallow-Water Equations Using Machine Learning and Convex Limiting M. Mojamder et al. https://doi.org/10.3390/fluids11030076
5847. The regional MiKlip decadal prediction system for Europe: Hindcast skill for extremes and user‐oriented variables J. Moemken et al. https://doi.org/10.1002/joc.6824
5848. Diurnal cycle of precipitation over the tropics and central United States: intercomparison of general circulation models C. Tao et al. https://doi.org/10.1002/qj.4629
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5850. Geography and Environment Shape Spatial Genetic Variation and Predict Climate Maladaptation Across Isolated and Disjunct Populations of Pinus muricata L. Galland et al. https://doi.org/10.1111/mec.17638
5851. A new dipole index for the North Pacific Victoria mode T. Wen et al. https://doi.org/10.1007/s00382-024-07330-y
5852. Historical and projected relationships between the Tibetan Plateau summer monsoon and precipitation in Central Asia based on multi-CMIP6 models X. Lu et al. https://doi.org/10.1016/j.atmosres.2022.106564
5853. Regional difference in precipitation seasonality over China from CMIP6 projections D. Hu et al. https://doi.org/10.1002/joc.8199
5854. Progress in joint application of crop models and hydrological models Y. You et al. https://doi.org/10.1016/j.agwat.2024.108746
5855. Forecasting Occupational Survivability of Rickshaw Pullers in a Changing Climate with Wearable Data M. Rahaman et al. https://doi.org/10.1145/3770712
5856. Toward Regional Marine Ecological Forecasting Using Global Climate Model Predictions From Subseasonal to Decadal Timescales: Bottlenecks and Recommendations S. Minobe et al. https://doi.org/10.3389/fmars.2022.855965
5857. The source of Double ITCZ induced by the SST bias over the tropical western Pacific as reflected in CAS-ESM2 Model J. Tong et al. https://doi.org/10.1007/s11430-023-1304-5
5858. Slightly enhanced drought in the Yellow River Basin under future warming scenarios C. Li et al. https://doi.org/10.1016/j.atmosres.2022.106423
5859. Detection and attribution of climate change: A deep learning and variational approach C. Bône et al. https://doi.org/10.1017/eds.2022.17
5860. Assessing Changes in 21st Century Mean and Extreme Climate of the Sacramento–San Joaquin Delta in California M. He https://doi.org/10.3390/cli10020016
5861. Observations indicate regionally misleading wetting and drying trends in CMIP6 L. Jensen et al. https://doi.org/10.1038/s41612-024-00788-x
5862. Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations M. Roussel et al. https://doi.org/10.5194/tc-14-2715-2020
5863. Weakening vegetation control on global terrestrial evapotranspiration in a warmer world H. Li et al. https://doi.org/10.1038/s43247-026-03372-8
5864. Can agricultural policy achieve environmental goals through an indicator-based direct payment system? A. Gilgen et al. https://doi.org/10.1093/qopen/qoac034
5865. Deciphering the role of evapotranspiration in declining relative humidity trends over land Y. Kim & M. Johnson https://doi.org/10.1038/s43247-025-02076-9
5866. Multiscenario Analysis of Hydrological Responses to Climate Change over River Basins of the Western Ghats of India S. Shetty et al. https://doi.org/10.1061/JHYEFF.HEENG-6214
5867. Climate change impacts and the reshaping of Canadian viticulture M. Lippa et al. https://doi.org/10.1016/j.isci.2025.111941
5868. The role of Arctic sea ice loss in the interdecadal trends of the East Asian summer monsoon in a warming climate X. Zhang et al. https://doi.org/10.1038/s41612-024-00717-y
5869. The moisture dynamics in arid Central Asia over the last 47,000 years: Insights from the speleothem record Y. Cai et al. https://doi.org/10.1073/pnas.2537342123
5870. Inter-model differences in 21st century glacier runoff for the world's major river basins F. Wimberly et al. https://doi.org/10.5194/tc-19-1491-2025
5871. Why is the Earth System Oscillating at a 6-Year Period? A. Cazenave et al. https://doi.org/10.1007/s10712-024-09874-4
5872. Desmatamento restringe refúgios climáticos na Amazônia C. Torres-Amaral et al. https://doi.org/10.1590/s0103-4014.202438112.013
5873. Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning T. Atwood et al. https://doi.org/10.1002/ecs2.70316
5874. Global air-sea CO2 flux inversion based on multi-source data fusion and machine learning Y. Chen et al. https://doi.org/10.1016/j.chaos.2024.115963
5875. Stratification and wind changes shape future Indian Ocean chlorophyll K. Sadhvi et al. https://doi.org/10.1088/2515-7620/ae3462
5876. Including climate change to predict the global suitable area of an invasive pest: Bactrocera correcta (Diptera: Tephritidae) Y. Zhang et al. https://doi.org/10.1016/j.gecco.2022.e02021
5877. Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations Z. Feng et al. https://doi.org/10.1029/2022GL102603
5878. A hybrid Monte Carlo simulation risk model for oil exploration projects E. Balas https://doi.org/10.1016/j.marpolbul.2023.115270
5879. Response of the Upper‐Level Monsoon Anticyclones and Ozone to Abrupt CO2 Changes O. Tweedy et al. https://doi.org/10.1029/2021JD034903
5880. Non-linear dynamical approaches for characterizing multi-sector climate impacts under irreducible uncertainty R. Mawalagedara et al. https://doi.org/10.1038/s41612-025-01208-4
5881. Diverging land-use projections cause large variability in their impacts on ecosystems and related indicators for ecosystem services A. Bayer et al. https://doi.org/10.5194/esd-12-327-2021
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5883. Unraveling non-monotonic responses of the El Niño–Southern Oscillation to post-2100 global warming M. Hayashi et al. https://doi.org/10.1038/s41612-026-01375-y
5884. Marine Heatwaves E. Oliver et al. https://doi.org/10.1146/annurev-marine-032720-095144
5885. Resolution-Dependent Perspectives on Caribbean Hydro-Climate Change M. Jury https://doi.org/10.3390/hydrology7040093
5886. New model ensemble reveals how forcing uncertainty and model structure alter climate simulated across CMIP generations of the Community Earth System Model M. Holland et al. https://doi.org/10.5194/gmd-17-1585-2024
5887. An uncertain future for the endemic Galliformes of the Caucasus A. Hof & A. Allen https://doi.org/10.1016/j.scitotenv.2018.09.227
5888. High-latitude Southern Ocean eddy activity projected to evolve with anthropogenic climate change N. Beech et al. https://doi.org/10.1038/s43247-025-02221-4
5889. Projection of temperature-related severe injuries under climate change: a nationwide study of South Korea J. Oh et al. https://doi.org/10.1186/s12889-025-24844-0
5890. Historical and Projected Changes in Temperature Extremes Over China and the Inconsistency Between Multimodel Ensembles and Individual Models From CMIP5 and CMIP6 Y. Yang et al. https://doi.org/10.1029/2022EA002514
5891. Impact of future climate trend and fluctuation on winter wheat yield in the North China Plain and adaptation strategies J. Hu et al. https://doi.org/10.1038/s41598-025-06370-6
5892. Climate-smart irrigation planning for rabi maize (Zea mays L.): CMIP6 multi-model projections in north-central Bangladesh M. Islam et al. https://doi.org/10.1016/j.jafr.2025.102225
5893. Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability B. Yang et al. https://doi.org/10.1029/2020MS002357
5894. Interhemispheric asymmetry of climate change projections of boreal winter surface winds in CanESM5 large ensemble simulations B. Yu et al. https://doi.org/10.1007/s10584-022-03313-2
5895. Detecting and calibrating large biases in global onshore wind power assessment across temporal scales C. Hou et al. https://doi.org/10.1038/s41467-025-59195-2
5896. Present and Future of Rainfall in Antarctica É. Vignon et al. https://doi.org/10.1029/2020GL092281
5897. The 20th century global warming signature on the ocean at global and basin scales as depicted from historical reanalyses A. Storto et al. https://doi.org/10.1002/joc.7163
5898. Multivariate Estimations of Equilibrium Climate Sensitivity From Short Transient Warming Simulations R. Bastiaansen et al. https://doi.org/10.1029/2020GL091090
5899. Trait-Based Modeling of Terrestrial Ecosystems: Advances and Challenges Under Global Change X. Xu & A. Trugman https://doi.org/10.1007/s40641-020-00168-6
5900. An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+) Y. Wang et al. https://doi.org/10.5194/essd-17-4185-2025
5901. Recent and future CO2 emission trajectories and nature-based carbon neutrality potential in China under different SSP scenarios C. Han et al. https://doi.org/10.3389/fenvs.2026.1745309
5902. Quantifying impacts of precipitation scenarios projected under climate change on annual probability of rainfall-induced landslides at a specific slope X. Liu & Y. Wang https://doi.org/10.1016/j.compgeo.2023.106063
5903. Mechanisms and quantification: How anthropogenic aerosols weaken the East Asian summer monsoon Y. Lang et al. https://doi.org/10.1038/s41612-025-00903-6
5904. Pacific Ocean–originated anthropogenic carbon and its long-term variations in the South China Sea Z. Wang et al. https://doi.org/10.1126/sciadv.adn9171
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5977. Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Z. Pei et al. https://doi.org/10.5194/acp-23-14691-2023
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5982. Centennial Changes in the Indonesian Throughflow Connected to the Atlantic Meridional Overturning Circulation: The Ocean's Transient Conveyor Belt S. Sun & A. Thompson https://doi.org/10.1029/2020GL090615
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5998. Kilometre-Scale Climate Projections for Nicosia: Dynamical and Machine Learning Downscaling to Detect Future Intra-Urban Heat Hotspots K. Koutroumanou-Kontosi et al. https://doi.org/10.3390/cli14070152
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6002. Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. https://doi.org/10.1002/joc.7159
6003. Quantifying Climate Change Variability for the Better Management of Water Resources: The Case of Kobo Valley, Danakil Basin, Ethiopia M. Tesfaw et al. https://doi.org/10.3390/cli12100159
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6007. Frequent land-ocean transboundary migration of tropical heatwaves under climate change X. Gu et al. https://doi.org/10.1038/s41467-025-58586-9
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6010. Human‐Induced Rainfall Reduction in Drought‐Prone Northern Central Asia J. Jiang & T. Zhou https://doi.org/10.1029/2020GL092156
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6014. Process-based evaluation of ENSO simulation sensitivity to horizontal resolution in the Chinese Academy of Sciences FGOALS-f3 Climate System Model M. Song et al. https://doi.org/10.5194/gmd-19-4725-2026
6015. How explosive volcanic eruptions reshape daily precipitation distributions S. Paik et al. https://doi.org/10.1016/j.wace.2022.100489
6016. Recent and near‐term future changes in impacts‐relevant seasonal hydroclimate in the world's Mediterranean climate regions R. Seager et al. https://doi.org/10.1002/joc.8551
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6020. Aerosols in the central Arctic cryosphere: satellite and model integrated insights during Arctic spring and summer B. Swain et al. https://doi.org/10.5194/acp-24-5671-2024
6021. Evaluation of Radiatively Active Frozen Hydrometeors Mass in CMIP6 Global Climate Models Using CloudSat‐CALIPSO Observations J. Li et al. https://doi.org/10.1029/2023JD039200
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6023. Climate change on crop water requirements, irrigation, and scheduling in Jimma, Ethiopia: using CMIP6 A. Bokke et al. https://doi.org/10.1007/s44533-025-00010-8
6024. Selection of Global Climate Models (GCMs) for Climate Change Analysis Using t-Distributed Stochastic Neighbour Embedding (t-SNE): Implications of Future Bioclimatic Shifts on Forest Trees in Tunisia and Algeria H. Achour et al. https://doi.org/10.1007/s41651-024-00209-w
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6029. Future extreme precipitation changes in the South Asian Summer Monsoon Dominance Region D. Deegala et al. https://doi.org/10.1016/j.atmosres.2023.107029
6030. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. https://doi.org/10.1007/s00376-020-0147-y
6031. Why do numerical models simulate contrasting primary productivity responses in the North Pacific during the Last Glacial Maximum? Z. Zhang et al. https://doi.org/10.3389/fmars.2026.1949533
6032. Runaway Climate Across the Wider Caribbean and Eastern Tropical Pacific in the Anthropocene: Threats to Coral Reef Conservation, Restoration, and Social–Ecological Resilience E. Hernández-Delgado & Y. Rodríguez-González https://doi.org/10.3390/atmos16050575
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6034. Decomposition of skill scores for conditional verification: impact of Atlantic Multidecadal Oscillation phases on the predictability of decadal temperature forecasts A. Richling et al. https://doi.org/10.5194/gmd-18-361-2025
6035. Seamless climate information from months to multiple years: constraining decadal predictions with seasonal predictions and past observations, and their comparison to multi-annual predictions C. Delgado-Torres et al. https://doi.org/10.5194/esd-17-41-2026
6036. Q-CLASS: an observation-based reconstruction dataset for streamflow at China’s large dam sites J. Yu et al. https://doi.org/10.1016/j.jhydrol.2026.135499
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6039. Tropical Variability Simulated in ICON‐A With a Spectral Cumulus Parameterization Y. Baba & M. Giorgetta https://doi.org/10.1029/2019MS001732
6040. Storylines of summer Arctic climate change constrained by Barents–Kara seas and Arctic tropospheric warming for climate risk assessment X. Levine et al. https://doi.org/10.5194/esd-15-1161-2024
6041. Evaluating climate change impacts on mortality, life insurance, and annuities L. Wang et al. https://doi.org/10.1016/j.insmatheco.2026.103306
6042. Entrainment and the tropical tropospheric thermal structure in global climate models L. Palmer & M. Singh https://doi.org/10.5194/wcd-6-1565-2025
6043. Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala P. Rivera https://doi.org/10.1007/s41748-022-00333-x
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6045. Response of plant species to impact of climate change in Hugumbrda Grat-Kahsu forest, Tigray, Ethiopia: Implications for domestication and climate change mitigation H. Abrha et al. https://doi.org/10.1016/j.tfp.2023.100487
6046. Seasonal Hydrodynamic Forecasts of INM-CM5 Model for Estimation of the Start of the Birch Pollen Season S. Emelina et al. https://doi.org/10.31857/S0002351523040053
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6048. The Future of Climate Epidemiology: Opportunities for Advancing Health Research in the Context of Climate Change G. Anderson et al. https://doi.org/10.1093/aje/kwz034
6049. Integrating CMlP6 and terrain factors via MSMP: improved precipitation simulations and SHAP interpretation W. Lu et al. https://doi.org/10.1007/s00704-025-05874-5
6050. A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models K. Raeder et al. https://doi.org/10.1038/s41598-021-92927-0
6051. Research on the risk of rainstorm and flood disasters in Songliao basin based on CMIP6 J. Chu et al. https://doi.org/10.1007/s11069-025-07217-z
6052. Comparing bias adjustment methods for CMIP6 extreme precipitation projections in the San-Pédro River Basin (Côte d’Ivoire, West Africa) F. Akaffou et al. https://doi.org/10.1007/s00704-026-06043-y
6053. pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. https://doi.org/10.12688/openreseurope.13633.2
6054. Extraordinary 2021 snowstorm in Spain reveals critical threshold response to anthropogenic climate change D. Insua-Costa et al. https://doi.org/10.1038/s43247-024-01503-7
6055. What causes the spread of model projections of ocean dynamic sea-level change in response to greenhouse gas forcing? M. Couldrey et al. https://doi.org/10.1007/s00382-020-05471-4
6056. A climate service for ecologists: sharing pre-processed EURO-CORDEX regional climate scenario data using the eLTER Information System S. Rennie et al. https://doi.org/10.5194/essd-13-631-2021
6057. High resolution climate change observations and projections for the evaluation of heat-related extremes E. Williams et al. https://doi.org/10.1038/s41597-024-03074-w
6058. Assessing climate change impacts on sugarcane yield, crop water productivity, and nitrous oxide emissions across Brazil's bioenergy using the CSM-SAMUCA-sugarcane model E. Leite et al. https://doi.org/10.1016/j.agsy.2025.104494
6059. Benchmarking soil moisture and its relationship to ecohydrologic variables in Earth System Models E. Massoud et al. https://doi.org/10.5194/gmd-19-3427-2026
6060. High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections H. Beck et al. https://doi.org/10.1038/s41597-023-02549-6
6061. Teleconnection Patterns of Different El Niño Types Revealed by Climate Network Curvature F. Strnad et al. https://doi.org/10.1029/2022GL098571
6062. Human influence on the 2021 British Columbia floods N. Gillett et al. https://doi.org/10.1016/j.wace.2022.100441
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6064. Predicted changes in distribution and grazing value of Stipa-based plant communities across the Eurasian steppe Y. Tu et al. https://doi.org/10.1016/j.jenvman.2024.120757
6065. Projected Urban Air Pollution in Riyadh Using CMIP6 and Bayesian Modeling K. Faqeih et al. https://doi.org/10.3390/su17146288
6066. Role of Anthropogenic Climate Change in Autumn Drought Trend over China from 1961 to 2014 X. Zhang et al. https://doi.org/10.1007/s13351-022-1178-3
6067. Future climate projection across Tanzania under CMIP6 with high-resolution regional climate model D. Magang et al. https://doi.org/10.1038/s41598-024-63495-w
6068. The global energy balance as represented in CMIP6 climate models M. Wild https://doi.org/10.1007/s00382-020-05282-7
6069. The warm Arctic-cold north american pattern in CanESM5 large ensemble simulations: Eurasian influence and uncertainty due to internal variability B. Yu & H. Lin https://doi.org/10.1007/s00382-023-06966-6
6070. The Performance of CMIP6 Versus CMIP5 in Simulating Temperature Extremes Over the Global Land Surface X. Fan et al. https://doi.org/10.1029/2020JD033031
6071. A Potential Reason for a More CP El Nino‐Like SSTA Performance in CMIP6 Simulations L. Wang & Y. Lin https://doi.org/10.1029/2023GL105092
6072. Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al. https://doi.org/10.1038/s41612-025-00922-3
6073. A stochastic model of future extreme temperature events for infrastructure analysis D. Villa et al. https://doi.org/10.1016/j.envsoft.2023.105663
6074. Different photovoltaic power potential variations in East and West China X. Chen et al. https://doi.org/10.1016/j.apenergy.2023.121846
6075. Hysteresis and irreversibility in permafrost physical response to increase and decrease of CO2 emissions N. Watanabe et al. https://doi.org/10.5194/esd-17-1135-2026
6076. An Overview of Machine Learning and Deep Learning Applications in Earth Sciences in 2024: Achievements and Perspectives M. Krinitskiy https://doi.org/10.3103/S0027134924702217
6077. Global Bias-Corrected CORDEX Datasets at Half Degree Resolution F. Yakubu et al. https://doi.org/10.1038/s41597-025-06200-4
6078. Addressing uncertainty when projecting marine species' distributions under climate change S. Davies et al. https://doi.org/10.1111/ecog.06731
6079. Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset K. Hartung et al. https://doi.org/10.5194/esd-12-763-2021
6080. Near-Future Climate Change Impacts on Sado River (Southern Portugal) Flow Rates Using CMIP6-HSPF Modelling A. Claro et al. https://doi.org/10.3390/w18040442
6081. Evaluation of CMIP6 historical simulations over IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s44274-023-00012-2
6082. Identification of Best CMIP6 Global Climate Model for Rainfall by Ensemble Implementation of MCDM Methods and Statistical Inference G. Patel et al. https://doi.org/10.1007/s11269-023-03599-6
6083. Constraining CMIP6 sea ice simulations with ICESat-2 A. Petty et al. https://doi.org/10.5194/gmd-18-6313-2025
6084. Introducing uncertainties in composite indicators. The case of the Impact Chain risk assessment framework C. Melo-Aguilar et al. https://doi.org/10.3389/fclim.2022.1019888
6085. A JavaScript API for the Ice Sheet System Model (ISSM) 4.11: towards an online interactive model for the cryosphere community E. Larour et al. https://doi.org/10.5194/gmd-10-4393-2017
6086. Inter‐Basin Interaction Between Variability in the South Atlantic Ocean and the El Niño/Southern Oscillation Y. Ham et al. https://doi.org/10.1029/2021GL093338
6087. Spatiotemporal Dynamics and Future Projections of Carbon Use Efficiency on the Mongolian Plateau: A Remote Sensing and Machine Learning Approach X. Yang et al. https://doi.org/10.3390/rs17081392
6088. Mapping future flood susceptibility in Greater Yangon, Myanmar using Google Earth Engine and machine learning M. Mone et al. https://doi.org/10.1016/j.susgeo.2026.100025
6089. Frequency of the winter temperature extremes over Siberia dominated by the Atlantic Meridional Overturning Circulation H. Wang et al. https://doi.org/10.1038/s41612-022-00307-w
6090. Evaluation of CMIP6 model performance and extreme precipitation prediction in the Awash basin C. Sime & W. Dibaba https://doi.org/10.1016/j.heliyon.2023.e21578
6091. Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6 E. Barkanov et al. https://doi.org/10.1016/j.enconman.2023.118058
6092. Projected population exposure to dangerous heat stress around Lake Victoria under a high-end climate change scenario D. Ramon et al. https://doi.org/10.1088/1748-9326/ae05b1
6093. A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China R. Zhang et al. https://doi.org/10.1007/s00343-020-0157-8
6094. A mechanistic analysis of tropical Pacific dynamic sea level in GFDL-OM4 under OMIP-I and OMIP-II forcings C. Hsu et al. https://doi.org/10.5194/gmd-14-2471-2021
6095. Identification of extreme socioeconomic droughts considering heavy tailed distribution Z. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135867
6096. Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa A. Michalek et al. https://doi.org/10.1029/2022WR034166
6097. A North American climate-masting-irruption teleconnection and its change under future climate H. Bai et al. https://doi.org/10.1016/j.scitotenv.2024.174473
6098. A Large Ensemble Global Dataset for Climate Impact Assessments X. Gao et al. https://doi.org/10.1038/s41597-023-02708-9
6099. Evaluation of the N2O Rate of Change to Understand the Stratospheric Brewer‐Dobson Circulation in a Chemistry‐Climate Model D. Minganti et al. https://doi.org/10.1029/2021JD036390
6100. Communicating future sea-level rise uncertainty and ambiguity to assessment users R. Kopp et al. https://doi.org/10.1038/s41558-023-01691-8
6101. Projection of heat-related occupational injuries under climate change and demographic scenarios in Italian cities C. Gariazzo et al. https://doi.org/10.1016/j.envres.2026.124644
6102. Projected Changes in Temperature and Precipitation Over the United States, Central America, and the Caribbean in CMIP6 GCMs M. Almazroui et al. https://doi.org/10.1007/s41748-021-00199-5
6103. Climate-Driven Distribution Modeling of Endemic Iranian Ground Jay (Podoces pleskei): Ecological Niche and Conservation Y. Rakhshanifari et al. https://doi.org/10.3390/birds7020033
6104. A novel spatiotemporal melt factor framework for quantifying snow and glacier melt in alpine basins V. Shishodia et al. https://doi.org/10.1080/02626667.2026.2691259
6105. The DARA-PROBA3 radiometer: results from the pre-flight calibration campaign J. Montillet et al. https://doi.org/10.1088/1681-7575/ae6342
6106. Warming-induced soil moisture stress threatens food security in India R. Kashyap & J. Kuttippurath https://doi.org/10.1007/s11356-024-35107-7
6107. Ambient temperature and female infertility prevalence: an ecological study based on the 2019 global burden of disease study J. Qian et al. https://doi.org/10.1186/s12958-025-01365-4
6108. Weakened amplitude and delayed phase of the future temperature seasonal cycle over China during the twenty‐first century D. Hu et al. https://doi.org/10.1002/joc.7634
6109. CMIP6-D&A: An R-based software with GUI for processing climate data available in network common data format M. Abdollahi et al. https://doi.org/10.1016/j.softx.2022.101044
6110. Future changes of drought characteristics in Coupled Model Intercomparison Project phase 6 Shared Socioeconomic Pathway scenarios over Central Asia H. Guo et al. https://doi.org/10.1002/joc.7450
6111. Nonlinear El Niño impacts on the global economy under climate change Y. Liu et al. https://doi.org/10.1038/s41467-023-41551-9
6112. South Asian summer monsoon enhanced by the uplift of the Iranian Plateau in Middle Miocene M. Zuo et al. https://doi.org/10.5194/cp-20-1817-2024
6113. Substantial regional climate change expected following cessation of CO2 emissions A. MacDougall et al. https://doi.org/10.1088/1748-9326/ac9f59
6114. The convolutional neural network for Pacific decadal oscillation forecast N. Skanupong et al. https://doi.org/10.1088/1748-9326/ad8be2
6115. Inter-model diversity and Its Drivers in Southern Ocean Meridional Overturning Circulation S. Park et al. https://doi.org/10.1038/s41612-025-01258-8
6116. Earth System Model of the Institute of Atmospheric Physics, Russian Acadeny of Sciences: Structure and Major Results A. Eliseev et al. https://doi.org/10.1134/S0001433825700069
6117. Increased resolution can reduce model biases in the Interdecadal Pacific Oscillation B. Pang et al. https://doi.org/10.1088/1748-9326/ade45a
6118. Eccentric orbits may enhance the habitability of Earth-like exoplanets B. Liu et al. https://doi.org/10.1093/mnras/stae1758
6119. The role of the Near East surface pressure variations in recent past trends of wet season precipitation in the Levant S. Krichak & P. Alpert https://doi.org/10.1002/joc.7632
6120. Natural Fluxes of Greenhouse Gases in the Northern Hemisphere from the CMIP6 Ensemble of Models and Their Contribution to Climate Change in the 21st Century S. Denisov et al. https://doi.org/10.1134/S0001433824700889
6121. Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model M. Feng et al. https://doi.org/10.3389/fclim.2022.925068
6122. Simulation of heat-induced spikelet sterility in rice and evaluation of adaptation options under historical and projected meteorological conditions in Japan Y. Toda et al. https://doi.org/10.1016/j.fcr.2026.110519
6123. Constraining high-emission future West African monsoon with physics-weighted deep learning ensembles A. Tamoffo et al. https://doi.org/10.1038/s43247-026-03839-8
6124. Evaluation of the interannual variability in the East Asian summer monsoon in AMIP and historical experiments of CAS FGOALS-f3-L X. Zhang et al. https://doi.org/10.1016/j.aosl.2022.100275
6125. The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations J. Jungclaus et al. https://doi.org/10.5194/gmd-10-4005-2017
6126. Climate-driven synchronization of solar extremes threatens the resilience of Africa’s regional power pool P. Adigun et al. https://doi.org/10.1038/s44406-026-00027-7
6127. ENSO-driven climatic and vegetation changes in Amazonia by the end of the century D. Petrova et al. https://doi.org/10.1088/1748-9326/aea585
6128. Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. https://doi.org/10.1029/2023EF003741
6129. Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. https://doi.org/10.1080/02626667.2023.2201450
6130. Global models predict clouds at the wrong time of day: Does it matter for radiation and climate? T. Aerenson et al. https://doi.org/10.1126/sciadv.ady3236
6131. Human influences on spatially compounding flooding and heatwave events in China and future increasing risks C. Qian et al. https://doi.org/10.1016/j.wace.2023.100616
6132. Mitigating undercooling and overheating risk in existing desert schools under current and future climate using validated building simulation model F. Baba et al. https://doi.org/10.1016/j.buildenv.2023.110871
6133. Increase in seasonal precipitation over the Tibetan Plateau in the 21st century projected using CMIP6 models R. Chen et al. https://doi.org/10.1016/j.atmosres.2022.106306
6134. Tropical Cyclone Activities in Warm Climate with Quadrupled CO2 Concentration Simulated by a New General Circulation Model C. Song et al. https://doi.org/10.1029/2019JD032314
6135. Asian monsoon projection with a new large-scale monsoon definition X. Dai et al. https://doi.org/10.1007/s00704-021-03866-9
6136. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
6137. Human-induced climate change has decreased wheat production in northern Kazakhstan P. Romanovska et al. https://doi.org/10.1088/2752-5295/ad53f7
6138. Future projections of compound temperature and precipitation extremes and disparate Exposure Among vulnerable populations C. Wang & J. Meng https://doi.org/10.1016/j.apgeog.2026.104142
6139. Gridded value-added of primary, secondary and tertiary industries in China under Shard Socioeconomic Pathways C. Jing et al. https://doi.org/10.1038/s41597-022-01440-0
6140. Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors B. Jian et al. https://doi.org/10.5194/acp-21-9809-2021
6141. Projection of the diurnal temperature range over Africa based on CMIP6 simulations H. Babaousmail et al. https://doi.org/10.1016/j.jafrearsci.2023.104883
6142. Levelized cost of energy for various floating offshore wind farm designs in the areas covered by the Spanish maritime spatial planning B. Thomas et al. https://doi.org/10.1016/j.apenergy.2024.125165
6143. Assessing rainfall-induced shallow landslides under climate change: A slope-specific probabilistic framework in Lishui, Southeast China Z. He et al. https://doi.org/10.1016/j.jrmge.2026.05.036
6144. An Overview of CMIP5 and CMIP6 Simulated Cloud Ice, Radiation Fields, Surface Wind Stress, Sea Surface Temperatures, and Precipitation Over Tropical and Subtropical Oceans J. Li et al. https://doi.org/10.1029/2020JD032848
6145. A study of reanalysis characteristics and evaluation of interdecadal variation of the intensity of South China Sea Summer Monsoon in the early 1990s Z. Zheng et al. https://doi.org/10.1007/s00382-023-07080-3
6146. Investigations on the anthropogenic reversal of the natural ozone gradient between northern and southern midlatitudes D. Parrish et al. https://doi.org/10.5194/acp-21-9669-2021
6147. Rejoinder to the discussion on “A combined estimate of global temperature” P. Craigmile & P. Guttorp https://doi.org/10.1002/env.2725
6148. Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging S. Jewson et al. https://doi.org/10.5194/npg-28-329-2021
6149. Understanding the impact of climate change on future climate extremes in the Gandak River Basin: A multi-model ensemble-based analysis A. Jha et al. https://doi.org/10.1016/j.pce.2025.104049
6150. Exploring the impact of a frontal ablation parameterization on projected 21st-century mass change for Northern Hemisphere glaciers J. Malles et al. https://doi.org/10.1017/jog.2023.19
6151. Impact of the CMIP6 Model Resolution on the Future Behaviour of Wind‐Driven Wave Climate for the North Indian Ocean A. Krishnan & S. Neetu https://doi.org/10.1002/joc.8842
6152. Less negative impacts of climate change on crop yields in West Africa in the new CMIP6 climate simulations ensemble B. Sultan et al. https://doi.org/10.1371/journal.pclm.0000263
6153. Detection, attribution and projection of changes in the extreme temperature range in the Northern Hemisphere X. Feng & C. Qian https://doi.org/10.1016/j.accre.2024.10.006
6154. The disappearing quasi-biennial oscillation under sustained global warming F. Luo et al. https://doi.org/10.1038/s41467-026-68922-2
6155. Resolution dependence and biases in cold and warm frontal heavy precipitation over Europe in CMIP6 and EURO-CORDEX models A. Schaffer et al. https://doi.org/10.5194/wcd-6-1815-2025
6156. The generation of gridded emissions data for CMIP6 L. Feng et al. https://doi.org/10.5194/gmd-13-461-2020
6157. Impact of Climate Change on the Habitat Suitability of Monochamus saltuarius Gebler (Coleoptera; Cerambycidae) and Its Natural Enemies in China X. Zhang et al. https://doi.org/10.3390/f15010033
6158. Interdecadal Pacific Variability dominated the decadal variation of cold season precipitation in arid West Asia S. Ma et al. https://doi.org/10.1016/j.atmosres.2023.106730
6159. Dynamical Seasonal Prediction of Tropical Cyclone Activity Using the FGOALS-f2 Ensemble Prediction System J. Li et al. https://doi.org/10.1175/WAF-D-20-0189.1
6160. Future changes in population exposure to intensified heatwaves over three major urban agglomerations in China based on excess heat factor Q. Zhou et al. https://doi.org/10.1016/j.accre.2024.12.009
6161. Global patterns of rain-on-snow and its impacts on runoff from past to future projections F. Maina & S. Kumar https://doi.org/10.1038/s41467-025-59855-3
6162. Climate change-driven northward expansion of the mediterranean orchid Ophrys apifera from genetic and ecological perspectives A. Naczk et al. https://doi.org/10.1038/s41598-025-15167-6
6163. Hourly water-carbon interactions modulate decadal water-use efficiency trends inferred from ecosystem-scale measurements K. Chang et al. https://doi.org/10.1016/j.agrformet.2022.109158
6164. Anthropogenic impacts on twentieth-century ENSO variability changes W. Cai et al. https://doi.org/10.1038/s43017-023-00427-8
6165. Projections of an ice-free Arctic Ocean A. Jahn et al. https://doi.org/10.1038/s43017-023-00515-9
6166. Global changes in extreme tropical cyclone wave heights under projected future climate conditions G. Grossmann-Matheson et al. https://doi.org/10.1038/s41598-024-82892-9
6167. Predicting climate-driven distribution shifts in Hyalomma marginatum (Ixodidae) O. Hekimoglu et al. https://doi.org/10.1017/S0031182023000689
6168. Spatiotemporal changes in offshore wind energy availability and stability in the China sea and adjacent waters under climate change J. Meng & Z. Zheng https://doi.org/10.1016/j.jclepro.2026.149281
6169. Meridional Oceanic and Atmospheric Heat Fluxes at the Entrance to the Atlantic Sector of the Arctic: Verification of CMIP6 Models and Climate Projections Based on the Selected Sub-Ensembles M. Latonin et al. https://doi.org/10.2205/2024ES000917
6170. Representation by two climate models of the dynamical and diabatic processes involved in the development of an explosively deepening cyclone during NAWDEX D. Flack et al. https://doi.org/10.5194/wcd-2-233-2021
6171. Climate change impact on streamflow and suspended sediment load in the flood-prone river basin R. Ranjan & A. Mishra https://doi.org/10.2166/wcc.2023.037
6172. Climate change impacts on photovoltaic solar energy production in Portugal D. Carvalho et al. https://doi.org/10.1016/j.egycc.2026.100235
6173. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. https://doi.org/10.1038/s41467-022-28816-5
6174. The emerging human influence on the seasonal cycle of sea surface temperature J. Shi et al. https://doi.org/10.1038/s41558-024-01958-8
6175. Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al. https://doi.org/10.1029/2019JD032321
6176. Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China T. Zhang et al. https://doi.org/10.1088/1748-9326/ac79c1
6177. The hydrogen-water collision: Assessing water and cooling demands for large-scale green hydrogen production in a warming climate P. Ellersdorfer et al. https://doi.org/10.1016/j.ijhydene.2024.11.381
6178. Basin-scale heterogeneity in Antarctic precipitation and its impact on surface mass variability J. Fyke et al. https://doi.org/10.5194/tc-11-2595-2017
6179. Drivers of the enhanced decline of land near-surface relative humidity to abrupt 4xCO2 in CNRM-CM6-1 H. Douville et al. https://doi.org/10.1007/s00382-020-05351-x
6180. Fire carbon emissions over Equatorial Asia reduced by shortened dry seasons S. Wang et al. https://doi.org/10.1038/s41612-023-00455-7
6181. 2024 global temperature record is consistent with model-predicted warming M. Mann et al. https://doi.org/10.1073/pnas.2600021123
6182. Development of a plant carbon–nitrogen interface coupling framework in a coupled biophysical-ecosystem–biogeochemical model (SSiB5/TRIFFID/DayCent-SOM v1.0) Z. Xiang et al. https://doi.org/10.5194/gmd-17-6437-2024
6183. Temporal and spatial aggregation of rainfall extremes over India under anthropogenic warming G. Konda et al. https://doi.org/10.1038/s41598-024-63417-w
6184. Towards improved and more routine Earth system model evaluation in CMIP V. Eyring et al. https://doi.org/10.5194/esd-7-813-2016
6185. Impact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models E. Tsartsali et al. https://doi.org/10.1007/s00382-021-06098-9
6186. Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. https://doi.org/10.5194/gmd-13-3817-2020
6187. Performance evaluation and ranking of CMIP6 global climate models over upper blue nile (abbay) basin of Ethiopia J. Mohammed https://doi.org/10.1016/j.nhres.2024.06.004
6188. Roles of External Forcing and Internal Variability in Precipitation Changes of a Sub‐Region of the U.S. Mid‐Atlantic During 1979–2019 L. Dong & L. Leung https://doi.org/10.1029/2022JD037493
6189. Rainfall Projections from Coupled Model Intercomparison Project Phase 6 in the Volta River Basin: Implications on Achieving Sustainable Development S. Dotse et al. https://doi.org/10.3390/su15021472
6190. Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. https://doi.org/10.5194/gmd-14-43-2021
6191. Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios L. Liu et al. https://doi.org/10.1007/s11356-021-17338-0
6192. The greater role of Southern Ocean warming compared to Arctic Ocean warming in shifting future tropical rainfall patterns H. Jeong et al. https://doi.org/10.1038/s41467-025-57654-4
6193. Dependence of Europe's most threatened mammals on movement to adapt to climate change D. Alagador https://doi.org/10.1111/cobi.14315
6194. Faster dieback of rainforests altering tropical carbon sinks under climate change D. Nath et al. https://doi.org/10.1038/s41612-024-00793-0
6195. Anthropogenic warming is a key climate indicator of rising urban fire activity in China Q. Yao et al. https://doi.org/10.1093/nsr/nwae163
6196. Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model H. Wang et al. https://doi.org/10.1029/2022MS003174
6197. Mediterranean viticulture in the context of climate change L. Dinis et al. https://doi.org/10.1051/ctv/ctv20223702139
6198. Multiscale causes of the 2022 Yangtze mega-flash drought under climate change X. Yuan et al. https://doi.org/10.1007/s11430-024-1356-x
6199. The CUISINES Framework for Conducting Exoplanet Model Intercomparison Projects, Version 1.0 L. Sohl et al. https://doi.org/10.3847/PSJ/ad5830
6200. A framework for estuarine future sea-level scenarios: Response of the industrialised Elbe estuary to projected mean sea level rise and internal variability J. Pein et al. https://doi.org/10.3389/fmars.2023.1102485
6201. Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China P. Wang et al. https://doi.org/10.3390/land12091770
6202. Habitat shifts of Jatropha curcas L. in the Asia-Pacific region under climate change scenarios G. Liu & J. Mai https://doi.org/10.1016/j.energy.2022.123885
6203. Projections of future tropical cyclone landfalling activity in the East Asia region K. Liu et al. https://doi.org/10.1016/j.tcrr.2024.11.004
6204. Multi-Model Analyses of Spatiotemporal Variations of Water Resources in Central Asia Y. Zhao et al. https://doi.org/10.3390/w17162423
6205. DeepMelt-GL v1: a neural network emulator of sub-shelf melt rates for the unrepresented regions of ice-shelf cavities in ocean models H. Ockenden et al. https://doi.org/10.5194/gmd-19-7979-2026
6206. Using habitat suitability modeling to integrate ecosystem‐based approaches for mangrove restoration site selection R. Jaffé et al. https://doi.org/10.1002/ecs2.70222
6207. Global Connectivity of Southern Ocean Ecosystems E. Murphy et al. https://doi.org/10.3389/fevo.2021.624451
6208. Widespread global exacerbation of extreme drought induced by urbanization S. Huang et al. https://doi.org/10.1038/s44284-024-00102-z
6209. Projection of glacier changes over the Laohugou Glacier No. 12, Northeast Tibetan Plateau, China from 2020 to 2100 M. Liu et al. https://doi.org/10.1016/j.ejrh.2024.102089
6210. Divergent responses of historic rain-on-snow flood extremes to a warmer climate D. Hao et al. https://doi.org/10.1038/s43247-025-02354-6
6211. Sensitivity analysis of the land surface model with respect to the specification, spatial resolution, and aggregation of soil hydrophysical characteristics in Siberian ecosystems A. Ryazanova & V. Bogomolov https://doi.org/10.1007/s00382-026-08129-9
6212. Robust Acceleration of Stratospheric Moistening and Its Radiative Feedback Under Greenhouse Warming Y. Xia et al. https://doi.org/10.1029/2020JD033090
6213. Contributions of external forcing and internal variability to the multidecadal warming rate of East Asia in the present and future climate D. Jeong et al. https://doi.org/10.1038/s41612-024-00573-w
6214. Hourly temporal downscaling of CMIP6 data for photovoltaic energy modelling under climate change: A case study for Portugal P. Montesino Fernández et al. https://doi.org/10.1016/j.ecmx.2026.101944
6215. Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. https://doi.org/10.1029/2019GL083031
6216. Warming‐Induced Shifts in Relative Humidity Reshape Global Soil Organic Carbon Storage L. Li et al. https://doi.org/10.1002/gcb4.70038
6217. Contrasting SST modes explain decadal intensification of Pacific Walker Circulation X. Li et al. https://doi.org/10.1016/j.atmosres.2026.109338
6218. Assessing the Relationship Between Extreme Precipitation, ENSO and IOD During the Indian Summer Monsoon Using CMIP6 Simulations M. Nair et al. https://doi.org/10.1007/s00024-025-03818-8
6219. Comparison of Relative and Absolute Heatwaves in Eastern China: Observations, Simulations and Future Projections H. Xu & G. Zhang https://doi.org/10.3390/atmos13050649
6220. Anthropogenic Influence on Decadal Changes in Concurrent Hot and Dry Events over China around the Mid-1990s Q. Su et al. https://doi.org/10.1007/s00376-023-2319-z
6221. Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. https://doi.org/10.1007/s40641-021-00178-y
6222. Data-driven discovery of mechanisms underlying present and near-future precipitation changes and variability in Brazil M. Marques et al. https://doi.org/10.5194/wcd-6-757-2025
6223. Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models C. Wang et al. https://doi.org/10.1029/2020GL091024
6224. Projected changes in mean annual cycle of temperature and precipitation over the Czech Republic: Comparison of CMIP5 and CMIP6 E. Holtanová et al. https://doi.org/10.3389/feart.2022.1018661
6225. OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project S. Griffies et al. https://doi.org/10.5194/gmd-9-3231-2016
6226. Delayed impacts of North Pacific Oscillation on wintertime surface air temperature in East Asia S. Kim & J. Yoo https://doi.org/10.1007/s00382-025-07828-z
6227. Brief communication: CESM2 climate forcing (1950–2014) yields realistic Greenland ice sheet surface mass balance B. Noël et al. https://doi.org/10.5194/tc-14-1425-2020
6228. Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter N. Albern et al. https://doi.org/10.1088/1748-9326/ac13f0
6229. Spatial compounding of droughts and hot extremes across southwest and east China resulting from energy linkages B. Lv et al. https://doi.org/10.1016/j.jhydrol.2024.130827
6230. Uncertainty in Projected Changes in Precipitation Minus Evaporation: Dominant Role of Dynamic Circulation Changes and Weak Role for Thermodynamic Changes E. Elbaum et al. https://doi.org/10.1029/2022GL097725
6231. Evaluation of CMIP6 models toward dynamical downscaling over 14 CORDEX domains M. Zhang et al. https://doi.org/10.1007/s00382-022-06355-5
6232. The global climate response to High-Latitude Low-Altitude Stratospheric Aerosol Injection (HiLLA-SAI) A. Duffey et al. https://doi.org/10.5194/esd-17-353-2026
6233. Variations in Eurasian surface air temperature over multiple timescales and their possible causes L. Qiao et al. https://doi.org/10.1002/joc.7504
6234. Projection of extreme precipitation in the Minjiang River Basin, Southeast China X. Li et al. https://doi.org/10.2166/wcc.2022.145
6235. Stratification and overturning circulation are intertwined controls on ocean heat uptake efficiency in climate models L. Vogt et al. https://doi.org/10.5194/os-21-1081-2025
6236. The role of residential air circulation and cooling demand for electrification planning: Implications of climate change in sub-Saharan Africa G. Falchetta & M. Mistry https://doi.org/10.1016/j.eneco.2021.105307
6237. Irreversible glacier change and trough water for centuries after overshooting 1.5 °C L. Schuster et al. https://doi.org/10.1038/s41558-025-02318-w
6238. CAM6 simulation of mean and extreme precipitation over Asia: sensitivity to upgraded physical parameterizations and higher horizontal resolution L. Lin et al. https://doi.org/10.5194/gmd-12-3773-2019
6239. Atlantic multidecadal variability amplifies decadal variability in the Kuroshio–Oyashio Extension region under global warming Y. Wang et al. https://doi.org/10.1038/s43247-026-03750-2
6240. Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models Y. Li et al. https://doi.org/10.3389/fmars.2023.1145509
6241. Combining CMIP data with a regional convection-permitting model and observations to project extreme rainfall under climate change C. Klein et al. https://doi.org/10.1088/1748-9326/ac26f1
6242. Global projections of flash drought show increased risk in a warming climate J. Christian et al. https://doi.org/10.1038/s43247-023-00826-1
6243. Evaluating the response and adaptation of urban stormwater systems to changed rainfall with the CMIP6 projections Y. Yao et al. https://doi.org/10.1016/j.jenvman.2023.119135
6244. Tracking the impacts of precipitation phase changes through the hydrologic cycle in snowy regions: From precipitation to reservoir storage M. Wrzesien et al. https://doi.org/10.3389/feart.2022.995874
6245. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. https://doi.org/10.5194/esd-11-1233-2020
6246. Uncertainty in Projected Critical Soil Moisture Values in CMIP6 Affects the Interpretation of a More Moisture‐Limited World H. Hsu & P. Dirmeyer https://doi.org/10.1029/2023EF003511
6247. Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model G. Fuglstad & S. Castruccio https://doi.org/10.1214/20-AOAS1340
6248. Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand N. Arunrat et al. https://doi.org/10.1016/j.scitotenv.2021.150741
6249. Climate response to the spatial and temporal evolutions of anthropogenic aerosol forcing H. Wang & Y. Wen https://doi.org/10.1007/s00382-021-06059-2
6250. Future Antarctic amplification from extreme temperature indices for different socioeconomic scenarios and time periods J. Zhu et al. https://doi.org/10.1071/ES24009
6251. Oceanic mesoscale eddies as crucial drivers of global marine heatwaves C. Bian et al. https://doi.org/10.1038/s41467-023-38811-z
6252. Emerging Changes in Terrestrial Water Storage Variability as a Target for Future Satellite Gravity Missions L. Jensen et al. https://doi.org/10.3390/rs12233898
6253. Decadal prediction of Northeast Asian winter precipitation with CMIP6 models X. Xin et al. https://doi.org/10.1007/s00382-023-07063-4
6254. Future Global Convective Environments in CMIP6 Models C. Lepore et al. https://doi.org/10.1029/2021EF002277
6255. Projected Changes in Maize Cultivation Suitability Under Climate Change in the TR21 Thrace Region (Türkiye) H. Deveci https://doi.org/10.3390/agriculture16161758
6256. The Effects of Climate Change on Meteorological and Hydrological Drought in the Harşit River Basin (Türkiye) G. Demiral et al. https://doi.org/10.54365/adyumbd.1963232
6257. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. https://doi.org/10.5194/esd-12-1191-2021
6258. Increased variability of the western Pacific subtropical high under greenhouse warming K. Yang et al. https://doi.org/10.1073/pnas.2120335119
6259. Integrating CMIP6 and Remote Sensing Datasets for Current and Future Flood Susceptibility Projections Using Machine Learning Under Climate Change Scenarios in Demak District for Future Sustainable Planning A. Verdyansyah et al. https://doi.org/10.3390/su17188188
6260. Increased U.S. coastal hurricane risk under climate change K. Balaguru et al. https://doi.org/10.1126/sciadv.adf0259
6261. Assessing urban drainage pressure and impacts of future climate change based on shared socioeconomic pathways Y. Li et al. https://doi.org/10.1016/j.ejrh.2024.101760
6262. Madden–Julian oscillation changes under anthropogenic warming E. Maloney et al. https://doi.org/10.1038/s41558-018-0331-6
6263. Amplified local cooling effect of forestation in warming Europe Y. Li et al. https://doi.org/10.1038/s41467-025-63556-2
6264. Asia Faces a Growing Threat From Intraseasonal Compound Weather Whiplash B. Fang & M. Lu https://doi.org/10.1029/2022EF003111
6265. Near future flash flood prediction in an arid region under climate change G. Al-Rawas et al. https://doi.org/10.1038/s41598-024-76232-0
6266. Assessment of flood risk based on CMIP6 for the Northern foothills of Qinling mountain A. Ahmed et al. https://doi.org/10.1007/s00704-025-05464-5
6267. Future projections of China runoff changes based on CMIP6 and deep learning X. Wei et al. https://doi.org/10.1016/j.ejrh.2025.102998
6268. Past and future terrestrial water storage changes in the lower Mekong River basin: The influences of climatic and non-climatic factors J. Xiong et al. https://doi.org/10.1016/j.jhydrol.2022.128275
6269. Projected changes in temperature, precipitation and potential evapotranspiration across Indus River Basin at 1.5–3.0 °C warming levels using CMIP6-GCMs S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2021.147867
6270. Combining distribution‐based neural networks to predict weather forecast probabilities M. Clare et al. https://doi.org/10.1002/qj.4180
6271. How many hot days and heavy precipitation days will grandchildren experience that break the records set in their grandparents’ lives? H. Shiogama et al. https://doi.org/10.1088/2515-7620/ac0395
6272. Association of ambient temperatures with suicide attempts and violence with the future projections under climate change scenarios: a nationwide time-stratified case-crossover study in South Korea J. Park et al. https://doi.org/10.1186/s12889-025-21660-4
6273. Probabilistic long-term forecasting of solar irradiance under climate change using deep learning and Monte Carlo simulations K. Saidani et al. https://doi.org/10.1016/j.esr.2026.102176
6274. Groundwater Level Fluctuations in Coastal Aquifer: Using Artificial Neural Networks to Predict the Impacts of Climatical CMIP6 Scenarios A. Roshani & M. Hamidi https://doi.org/10.1007/s11269-022-03204-2
6275. A novel approach for air quality trend studies and its application to european urban environments: The ICARUS project I. Sakellaris et al. https://doi.org/10.1016/j.atmosenv.2022.118973
6276. Aptitud agroecológica proyectada del cacao (Theobroma cacao L.) bajo escenarios climáticos de finales del siglo XXI en Quinsaloma, Ecuador R. León Palma et al. https://doi.org/10.65835/reincisol.V6(10)1884
6277. Progress and future prospects of decadal prediction and data assimilation: A review W. Zhou et al. https://doi.org/10.1016/j.aosl.2023.100441
6278. A model intercomparison of Titan's climate and low-latitude environment J. Lora et al. https://doi.org/10.1016/j.icarus.2019.05.031
6279. A hydrological model to assess current and future freshwater availability: application to climate change impacts on hydrology in the Amazon River Basin through mid-century S. Santos da Silva et al. https://doi.org/10.1016/j.jhydrol.2025.134473
6280. Historical evolution and future trend of Northern Hemisphere snow cover in CMIP5 and CMIP6 models X. Zhu et al. https://doi.org/10.1088/1748-9326/ac0662
6281. Assessment of CMIP6 Cloud Fraction and Comparison with Satellite Observations P. Vignesh et al. https://doi.org/10.1029/2019EA000975
6282. Transition from multi-year La Niña to strong El Niño rare but increased under global warming F. Jia et al. https://doi.org/10.1016/j.scib.2024.12.034
6283. Future projections of monsoon droughts in Tamil Nadu using the Standardized Precipitation Index B. Santhoshkumar et al. https://doi.org/10.1016/j.jastp.2026.106783
6284. Twenty-five years of the IPCC Data Distribution Centre at the DKRZ and the Reference Data Archive for CMIP data M. Stockhause & M. Lautenschlager https://doi.org/10.5194/gmd-15-6047-2022
6285. Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective Y. Yan et al. https://doi.org/10.3390/rs14164033
6286. A Model of the Sea–Land Transition of the Mean Wind Profile in the Tropical Cyclone Boundary Layer Considering Climate Changes J. Wang et al. https://doi.org/10.1007/s13753-023-00488-9
6287. The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al. https://doi.org/10.5194/gmd-16-3953-2023
6288. Declining anthropogenic aerosols amplify Northern Hemisphere Hadley circulation weakening in the 21st century S. Kim et al. https://doi.org/10.1038/s41467-026-69990-0
6289. Sensitivity of the simulated atmospheric rivers over East Asia to horizontal resolution in the HadGEM3-GC3.1 general circulation model J. Liang & Y. Yong https://doi.org/10.1016/j.atmosres.2022.106244
6290. The future of the past: How fog and humidity modulate the climate vulnerability of Iberian laurissilva relict Prunus lusitanica L. G. Ferreiro-Lera et al. https://doi.org/10.1016/j.jenvman.2026.129693
6291. Precipitation efficiency constraint on climate change R. Li et al. https://doi.org/10.1038/s41558-022-01400-x
6292. Variation of Runoff and Runoff Components of the Lhasa River Basin in the Qinghai-Tibet Plateau under Climate Change X. Xiang et al. https://doi.org/10.3390/atmos13111848
6293. Future Changes in Global Runoff and Runoff Coefficient From CMIP6 Multi‐Model Simulation Under SSP1‐2.6 and SSP5‐8.5 Scenarios A. Wang et al. https://doi.org/10.1029/2022EF002910
6294. Projections of the start of the airborne pollen season in Barcelona (NE Iberian Peninsula) over the 21st century M. Alarcón et al. https://doi.org/10.1016/j.scitotenv.2024.173363
6295. Increasing Health Risks During Outdoor Sports Due To Climate Change in Texas: Projections Versus Attitudes S. Dee et al. https://doi.org/10.1029/2022GH000595
6296. Regionally aggregated, stitched and de‐drifted CMIP‐climate data, processed with netCDF‐SCM v2.0.0 Z. Nicholls et al. https://doi.org/10.1002/gdj3.113
6297. Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios C. Koven et al. https://doi.org/10.5194/esd-13-885-2022
6298. Diverging Northern Hemisphere Trends in Meteorological Versus Ecological Indicators of Spring Onset in CMIP6 X. Li et al. https://doi.org/10.1029/2023GL102833
6299. Topographically channeled ocean-atmosphere coupling in the southern Caribbean and summer climate variability M. Jury https://doi.org/10.3354/cr01733
6300. An integrated agent-based simulation modeling framework for sustainable production of an Agrophotovoltaic system Y. Kim et al. https://doi.org/10.1016/j.jclepro.2023.138307
6301. Detailing cloud property feedbacks with a regime-based decomposition M. Zelinka et al. https://doi.org/10.1007/s00382-022-06488-7
6302. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990–2015 G. Myhre et al. https://doi.org/10.5194/acp-17-2709-2017
6303. Discovering causal relations and equations from data G. Camps-Valls et al. https://doi.org/10.1016/j.physrep.2023.10.005
6304. Fine-scale assessment of projected future changes in weather and climate extremes in the Chesapeake Bay watershed of the Mid-Atlantic United States R. Karki et al. https://doi.org/10.1007/s00704-025-05564-2
6305. A Cloudier Picture of Ice-Albedo Feedback in CMIP6 Models A. Sledd & T. L’Ecuyer https://doi.org/10.3389/feart.2021.769844
6306. Structure of the Atlantic Meridional Overturning Circulation in Three Generations of Climate Models F. Wang et al. https://doi.org/10.1029/2023EA002887
6307. Ocean stratification in a warming climate L. Cheng et al. https://doi.org/10.1038/s43017-025-00715-5
6308. Future trend of lightning activity over the Tibetan Plateau under global warming Z. Huang et al. https://doi.org/10.1016/j.atmosres.2025.108622
6309. Effects of climate change on Platanus flowering in Western Mediterranean cities: Current trends and future projections A. Picornell et al. https://doi.org/10.1016/j.scitotenv.2023.167800
6310. An Ecoregional Conservation Assessment for the Klamath-Siskiyou Ecoregion and Proposed Siskiyou Crest Climate Refuge, Southwest Oregon and Northern California, USA D. DellaSala et al. https://doi.org/10.3390/d18070415
6311. Climate-Informed Conservation and Restoration Priorities for High-Andean Polylepis Forests Under Climate Change S. Mantilla-Valdivia et al. https://doi.org/10.3390/f17080894
6312. Global patterns and edaphic-climatic controls of soil carbon decomposition kinetics predicted from incubation experiments D. Xiang et al. https://doi.org/10.1038/s41467-023-37900-3
6313. Why super sandstorm 2021 in North China? Z. Yin et al. https://doi.org/10.1093/nsr/nwab165
6314. The future of offshore wind power production: Wake and climate impacts S. Warder & M. Piggott https://doi.org/10.1016/j.apenergy.2024.124956
6315. Climate-driven shifts in narrow-barred Spanish mackerel ( Scomberomorus commerson ) distribution in the Taiwan Strait: Insights from remote sensing oceanography S. Mondal et al. https://doi.org/10.1080/01431161.2025.2545639
6316. FIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project Q. Shu et al. https://doi.org/10.1007/s13131-022-2000-x
6317. Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models H. Zheng et al. https://doi.org/10.1016/j.jhydrol.2024.131286
6318. Assessing the escalating human-perceived heatwaves in a warming world: The case of China J. Zhang et al. https://doi.org/10.1016/j.wace.2024.100643
6319. Climate change impacts on hydrology and phosphorus loads under projected global warming levels for the Lake of the Woods watershed P. Fong et al. https://doi.org/10.1016/j.jglr.2025.102636
6320. Global climate modeling with improved precipitation characteristics by learning physics (GRIST-MPS v1.0) from global storm-resolving modeling Y. Wang et al. https://doi.org/10.5194/gmd-19-5553-2026
6321. Comparison of GCMs Under CMIP5 and CMIP6 in Reproducing Observed Precipitation in Ethiopia During Rainy Seasons B. Gobie et al. https://doi.org/10.1007/s41748-024-00394-0
6322. Intercomparison and validation of first GLORIA-B measurements of stratospheric and upper tropospheric long-lived tracers and photochemically active species G. Wetzel et al. https://doi.org/10.5194/amt-18-5873-2025
6323. Probabilistic Ensemble Evaluation of Changes in the Characteristics of Rare Temperature Maxima over Russia in the 21st Century E. Khlebnikova & Y. Rudakova https://doi.org/10.3103/S1068373925090092
6324. Compound effects of long-term and extreme climate on winter wheat yields in arid regions and future predictions: A case study of Xinjiang J. Fang et al. https://doi.org/10.1007/s00382-025-08010-1
6325. Age inequality in temperature-related fall mortality among old people in China in a warming climate Y. Lin et al. https://doi.org/10.1038/s41612-025-00939-8
6326. Evaluation of Historical Snow Cover over the Tibetan Plateau in CMIP6 F. Liu et al. https://doi.org/10.1007/s00376-024-4212-9
6327. The benefits of high-resolution models in simulating the Kuroshio Extension and its long-term changes B. An et al. https://doi.org/10.1007/s00382-023-06862-z
6328. A temperature binning approach for multi-sector climate impact analysis M. Sarofim et al. https://doi.org/10.1007/s10584-021-03048-6
6329. Large regional differences in Antarctic ice shelf mass loss from Southern Ocean warming and meltwater feedbacks M. Muilwijk et al. https://doi.org/10.5194/tc-20-1087-2026
6330. Climate change-resilient snowpack estimation in the Western United States M. Cowherd et al. https://doi.org/10.1038/s43247-024-01496-3
6331. Climate-driven distribution modeling of Glossina fuscipes (Diptera: Glossinidae) in the Afrotropical Region: current patterns, future projections, and implications for presence in the Arabian Peninsula M. El-Hawagry et al. https://doi.org/10.1007/s10661-026-15355-5
6332. Evaluation of historical precipitation interannual variability in CMIP6 over the United States R. Harp et al. https://doi.org/10.1088/2752-5295/ada17c
6333. Persistence of Arctic Ocean acidification under negative emissions E. Köhn et al. https://doi.org/10.1038/s41558-026-02715-9
6334. Subantarctic Mode Water and its long-term change in CMIP6 models Y. Hong et al. https://doi.org/10.1175/JCLI-D-21-0133.1
6335. Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI): protocol and initial results from the first simulations J. Richter et al. https://doi.org/10.5194/gmd-15-8221-2022
6336. Tree species migration to north and expansion in their habitat under future climate: an analysis of eight tree species Khyber Pakhtunkhwa, Pakistan M. Durrani et al. https://doi.org/10.5141/jee.23.082
6337. Evaluation of the Performance of CMIP5 and CMIP6 Models in Simulating the Victoria Mode–El Niño Relationship Z. Wang et al. https://doi.org/10.1175/JCLI-D-20-0927.1
6338. Forcing and impact of the Northern Hemisphere continental snow cover in 1979–2014 G. Gastineau et al. https://doi.org/10.5194/tc-17-2157-2023
6339. A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature W. Hu et al. https://doi.org/10.1002/sta4.431
6340. Future projection of habitat suitability and potential distribution of main European cereal bugs using MaxEnt modelling S. Gibicsár et al. https://doi.org/10.1111/afe.70040
6341. Evaluation of historical CMIP6 model simulations of extreme precipitation over contiguous US regions A. Srivastava et al. https://doi.org/10.1016/j.wace.2020.100268
6342. Constraining CMIP6 Projections of an Ice‐Free Arctic Using a Weighting Scheme J. Zhao et al. https://doi.org/10.1029/2022EF002708
6343. Beyond Suitability: Mapping Current and Projected Conservation Gaps for Three Rare Pheasants in Karst Landscapes of Southwest China J. Wu et al. https://doi.org/10.3390/ani16172753
6344. Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al. https://doi.org/10.3389/feart.2022.786223
6345. Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves A. Machard et al. https://doi.org/10.1038/s41597-024-03319-8
6346. Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model J. Ono et al. https://doi.org/10.1088/2752-5295/ad3fdc
6347. Recurrence of Drought Events Over Iberia. Part II: Future Changes Using Regional Climate Projections J. Moemken et al. https://doi.org/10.16993/tellusa.52
6348. Regional irreversibility of mean and extreme surface air temperature and precipitation in CMIP6 overshoot scenarios associated with interhemispheric temperature asymmetries P. Roldán-Gómez et al. https://doi.org/10.5194/esd-16-1-2025
6349. Five years of whole-soil warming led to loss of subsoil carbon stocks and increased CO 2 efflux J. Soong et al. https://doi.org/10.1126/sciadv.abd1343
6350. Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends I. Richter et al. https://doi.org/10.1098/rstb.2021.0487
6351. Evaluation of high-resolution downscaled CMIP6 projections for adaptation to climate extremes in Connecticut M. de Vos et al. https://doi.org/10.1016/j.cliser.2026.100633
6352. Evaluation and Projection of Surface Wind Speed Over China Based on CMIP6 GCMs J. Wu et al. https://doi.org/10.1029/2020JD033611
6353. The Elo rating system as a new narrative for ranking climate models P. Monerie https://doi.org/10.1088/2515-7620/ae661c
6354. Increase in compound dry-warm and wet-warm events under global warming in CMIP6 models Y. Meng et al. https://doi.org/10.1016/j.gloplacha.2022.103773
6355. The impact of non-optimum temperatures, heatwaves and cold spells on out-of-hospital cardiac arrest onset in a changing climate in China: a multi-center, time-stratified, case-crossover study J. Liu et al. https://doi.org/10.1016/j.lanwpc.2023.100778
6356. Impacts of improved horizontal resolutions in the simulations of mean and extreme precipitation using CMIP6 HighResMIP models over West Africa F. Ajibola & S. Afolayan https://doi.org/10.1007/s10661-024-12492-7
6357. Why does stratospheric aerosol forcing strongly cool the warm pool? M. Günther et al. https://doi.org/10.5194/acp-24-7203-2024
6358. Ecological niche model transferability of the white star apple (Chrysophyllum albidum G. Don) in the context of climate and global changes J. Ganglo https://doi.org/10.1038/s41598-023-29048-3
6359. The role of internal variability and external forcing on southwestern Australian rainfall: prospects for very wet or dry years S. Rauniyar et al. https://doi.org/10.1038/s41598-023-48877-w
6360. A climate suitability index for species distribution modelling applied to terrestrial arthropods in the Mediterranean region J. Ciarlo' et al. https://doi.org/10.5194/esd-16-1391-2025
6361. Projections of cold air outbreaks in CMIP6 earth system models E. Smith & S. Sheridan https://doi.org/10.1007/s10584-021-03259-x
6362. Opposite Responses of the Dry and Moist Eddy Heat Transport Into the Arctic in the PAMIP Experiments A. Audette et al. https://doi.org/10.1029/2020GL089990
6363. The Global Space-based Stratospheric Aerosol Climatology (version 2.0): 1979–2018 M. Kovilakam et al. https://doi.org/10.5194/essd-12-2607-2020
6364. The benefits of increasing resolution in global and regional climate simulations for European climate extremes C. Iles et al. https://doi.org/10.5194/gmd-13-5583-2020
6365. How well the bias-corrected CMIP6 models assess the extreme precipitation indices over India? B. Vinodhkumar et al. https://doi.org/10.1007/s40808-024-02261-3
6366. Machine Learning in Climate Downscaling: A Critical Review of Methodologies, Physical Consistency, and Operational Applications H. Najafi et al. https://doi.org/10.3390/w18020271
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6368. High-resolution dynamical downscaling of ERA-Interim temperature and precipitation using WRF model for Greece N. Politi et al. https://doi.org/10.1007/s00382-021-05741-9
6369. Lessons learnt from a real-time attribution and contextualisation trial in a National Meteorological and Hydrological Service P. Hope et al. https://doi.org/10.1088/2752-5295/ad7da8
6370. Climate Change Estimates Surpass Rates of Climatic Niche Evolution in Primates A. Meyer & M. Pie https://doi.org/10.1007/s10764-021-00253-z
6371. The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. https://doi.org/10.1088/1748-9326/ad5b09
6372. Deep learning-based spatial downscaling and its application for tropical cyclone detection in the western North Pacific A. Chen & C. Yuan https://doi.org/10.3389/feart.2024.1345714
6373. Assessment of historical and projected spatiotemporal meteorological drought across climate zones of Wabi Shebele River basin, Ethiopia G. Tarafa et al. https://doi.org/10.1016/j.htopen.2026.100027
6374. Effects of Climate Change on Wheat Yield and Nitrogen Losses per Unit of Yield in the Middle and Lower Reaches of the Yangtze River in China Y. Zhou et al. https://doi.org/10.3390/atmos14050824
6375. Evaluation and projection of mean surface temperature using CMIP6 models over East Africa B. Ayugi et al. https://doi.org/10.1016/j.jafrearsci.2021.104226
6376. How could climate change affect the magnitude, duration and frequency of hydrological droughts and floods in West Africa during the 21st century? A storyline approach J. Ekolu et al. https://doi.org/10.1016/j.jhydrol.2025.133482
6377. Spatio-temporal pattern and network evolution of the thermal environment in urban metropolitan area based on SSP-RCP development scenario Q. Zhao et al. https://doi.org/10.1007/s11027-026-10320-6
6378. Dynamics of Widespread Extreme Precipitation Events and the Associated Large-Scale Environment Using AMeDAS and JRA-55 Data R. Shibuya et al. https://doi.org/10.1175/JCLI-D-21-0064.1
6379. An evaluation of CMIP6 historical simulations of the cold season teleconnection between tropical Indo-Pacific sea surface temperatures and precipitation in Southwest Asia, the coastal Middle East, and Northern Pakistan and India M. Barlow et al. https://doi.org/10.1175/JCLI-D-19-1026.1
6380. Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles S. Seneviratne & M. Hauser https://doi.org/10.1029/2019EF001474
6381. Stratospheric water vapor affecting atmospheric circulation E. Charlesworth et al. https://doi.org/10.1038/s41467-023-39559-2
6382. Assessment and projection of elevation-dependent warming over the Tibetan Plateau by CMIP6 models L. Zhu & G. Fan https://doi.org/10.1007/s00704-021-03889-2
6383. Mesoscale Convective Systems Simulated by a High‐Resolution Global Nonhydrostatic Model Over the United States and China Y. Na et al. https://doi.org/10.1029/2021JD035916
6384. Increased wintertime European atmospheric blocking frequencies in General Circulation Models with an eddy-permitting ocean S. Michel et al. https://doi.org/10.1038/s41612-023-00372-9
6385. Ensembles vs. information theory: supporting science under uncertainty G. Nearing & H. Gupta https://doi.org/10.1007/s11707-018-0709-9
6386. Will current protected areas harbor refugia for threatened Arctic vegetation types until 2050? A first assessment M. Reji Chacko et al. https://doi.org/10.1080/15230430.2023.2203478
6387. Enhanced spring precipitation in central Asia induced by ENSO under global warming L. Sun et al. https://doi.org/10.1007/s00382-025-07990-4
6388. Diazotrophy as a key driver of the response of marine net primary productivity to climate change L. Bopp et al. https://doi.org/10.5194/bg-19-4267-2022
6389. climepi: A Python package for modeling climate suitability for vector-borne diseases W. Hart & R. Thompson https://doi.org/10.21105/joss.10099
6390. Global cropland exposure to extreme compound drought heatwave events under future climate change A. Wang et al. https://doi.org/10.1016/j.wace.2023.100559
6391. Thermal bottlenecks in the life cycle define climate vulnerability of fish F. Dahlke et al. https://doi.org/10.1126/science.aaz3658
6392. Projected climate extremes over agro-climatic zones of Ganga River Basin under 1.5, 2, and 3° global warming levels H. Singh et al. https://doi.org/10.1007/s10661-023-11663-2
6393. Past, current and future solar radiation trends in Europe: Multi-source assessment of the role of clouds and aerosols L. Segado-Moreno et al. https://doi.org/10.1016/j.rse.2025.115122
6394. Assessing the performance of CMIP6 climate models and future projections of climate variables over the Amhara National Regional State, Ethiopia D. Mengistu et al. https://doi.org/10.1007/s44274-026-00843-9
6395. Deep Learning-Based Evaluation of Offshore Wind Energy Resources in Southeastern China for the Future C. Lai et al. https://doi.org/10.3390/en19061447
6396. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. https://doi.org/10.1029/2019MS001866
6397. High‐Frequency Sea Ice Variability in Observations and Models E. Blanchard‐Wrigglesworth et al. https://doi.org/10.1029/2020GL092356
6398. Soil heat extremes can outpace air temperature extremes A. García-García et al. https://doi.org/10.1038/s41558-023-01812-3
6399. The New Max Planck Institute Grand Ensemble With CMIP6 Forcing and High‐Frequency Model Output D. Olonscheck et al. https://doi.org/10.1029/2023MS003790
6400. Fire-derived ozone intensifies carbon loss in Amazon forests under extreme droughts F. Brown et al. https://doi.org/10.1038/s43247-026-04047-0
6401. Key determinants of global land-use projections E. Stehfest et al. https://doi.org/10.1038/s41467-019-09945-w
6402. Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al. https://doi.org/10.5194/gmd-16-2055-2023
6403. Multi-centennial response of marine carbon pumps to global warming S. Khatiwala et al. https://doi.org/10.1038/s41558-026-02686-x
6404. The annual cycle of terrestrial water storage anomalies in CMIP6 models evaluated against GRACE data R. Wu et al. https://doi.org/10.1175/JCLI-D-21-0021.1
6405. Comparative analysis of high-resolution CMIP6 GCM and CMIP5 RCM: unveiling biases and advancements in simulating compound extreme events in China L. Wang et al. https://doi.org/10.1007/s00382-024-07571-x
6406. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al. https://doi.org/10.1029/2022JD037978
6407. Enhancing Reservoir Design by Integrating Resilience into the Modified Sequent Peak Algorithm (MSPA 2024) I. Saket Oskoui et al. https://doi.org/10.3390/w17020277
6408. Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. https://doi.org/10.5194/gmd-15-6787-2022
6409. Subseasonal Prediction Skill in the CAMS-CSM Subseasonal-to-Seasonal Forecast System Y. Yan et al. https://doi.org/10.1007/s00376-024-4072-3
6410. Projections of precipitation extremes based on bias‐corrected Coupled Model Intercomparison Project phase 6 models ensemble over southern Africa K. Lim Kam Sian et al. https://doi.org/10.1002/joc.7707
6411. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. https://doi.org/10.1016/j.rse.2024.114326
6412. Improvement in wintertime mixed layer depth simulation by CMIP6 compared to CMIP5 climate models T. Xu et al. https://doi.org/10.1016/j.ocemod.2025.102545
6413. Comprehensive assessment of global atmospheric downward longwave radiation in the state-of-the-art reanalysis using satellite and flux tower observations C. Feng et al. https://doi.org/10.1007/s00382-022-06366-2
6414. An information-theoretic approach to obtain ensemble averages from Earth system models C. Sierra & E. Muñoz https://doi.org/10.5194/gmd-18-6701-2025
6415. Change in negative emission burden between an overshoot versus peak-shaved stratospheric aerosol injection pathway S. Baur et al. https://doi.org/10.5194/esd-16-667-2025
6416. Influence of Arctic sea-ice loss on the Greenland ice sheet climate R. Sellevold et al. https://doi.org/10.1007/s00382-021-05897-4
6417. The weakening of the tropical circulation is caused by the lifting of the tropopause height C. Fan & D. Dommenget https://doi.org/10.1007/s00382-023-06909-1
6418. Changes in the tropical upper-tropospheric zonal momentum balance due to global warming A. Thakur & J. Sukhatme https://doi.org/10.5194/wcd-5-839-2024
6419. Projections of cultivation area for summer Kimchi cabbage in South Korea under different global warming levels S. Kang et al. https://doi.org/10.15531/KSCCR.2025.16.5.919
6420. A 41-Year Global All-Sky Surface Longwave Radiation Components Dataset at 5 km and hourly Resolution Y. Du et al. https://doi.org/10.1038/s41597-025-05886-w
6421. Hydroclimate changes over Sweden in the twentieth and twenty-first centuries: a millennium perspective D. Chen et al. https://doi.org/10.1080/04353676.2020.1841410
6422. Constraining Arctic Climate Projections of Wintertime Warming With Surface Turbulent Flux Observations and Representation of Surface-Atmosphere Coupling L. Boisvert et al. https://doi.org/10.3389/feart.2022.765304
6423. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk https://doi.org/10.1038/s41612-023-00496-y
6424. Gross Discrepancies between Observed and Simulated Twentieth-to-Twenty-First-Century Precipitation Trends in Southeastern South America A. Varuolo-Clarke et al. https://doi.org/10.1175/JCLI-D-20-0746.1
6425. Abrupt expansion of climate change risks for species globally A. Pigot et al. https://doi.org/10.1038/s41559-023-02070-4
6426. Strengthened Impacts of November Snow Cover Over Siberia on the Out-of-phase Change in the Siberian High Between December and January Since 2000 and Implication for Intraseasonal Climate Prediction H. Yang & K. Fan https://doi.org/10.3389/feart.2021.748484
6427. Sensitivity of bias adjustment methods to low-frequency internal climate variability over the reference period: an ideal model study R. Bonnet et al. https://doi.org/10.1088/2752-5295/ac6adc
6428. Fine Ash‐Bearing Particles as a Major Aerosol Component in Biomass Burning Smoke K. Adachi et al. https://doi.org/10.1029/2021JD035657
6429. A machine learning approach for evaluating Southern Ocean cloud radiative biases in a global atmosphere model S. Fiddes et al. https://doi.org/10.5194/gmd-17-2641-2024
6430. Neural Emulators vs. Machine Learning Regressors: District‑Scale Pre‑Monsoon Temperature Prediction in Telangana G. Velusamy et al. https://doi.org/10.1007/s41748-026-01220-5
6431. Projected relationship between ENSO and following-summer rainfall over the middle reaches of the Yangtze River valley based on CMIP6 simulations Y. Sui & G. Xie https://doi.org/10.1016/j.aosl.2023.100374
6432. Influence of New Parameterization Schemes on Arctic Sea Ice Simulation Y. Lu et al. https://doi.org/10.3390/jmse12040555
6433. Projections of tropical cyclones and their formation regions in CMIP6 climate models K. Sharma et al. https://doi.org/10.1007/s00382-026-08280-3
6434. 19th century glacier retreat in the Alps preceded the emergence of industrial black carbon deposition on high-alpine glaciers M. Sigl et al. https://doi.org/10.5194/tc-12-3311-2018
6435. Comparative Evaluation of CMIP5 and CMIP6 GCMs in Reproducing Regional Precipitation Climatology in Mexico A. Ordoñez-Sánchez et al. https://doi.org/10.3390/cli14060117
6436. Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget M. De Sisto & A. MacDougall https://doi.org/10.5194/bg-21-4853-2024
6437. Projected changes in atmospheric pathways of Western North American heatwaves simulated from high-resolution coupled model simulations M. Park & N. Johnson https://doi.org/10.1038/s41612-025-01319-y
6438. Exploring the High Summertime Surface Ozone-Temperature Sensitivity in China S. Li & X. Lu https://doi.org/10.1021/acs.est.6c04659
6439. Sensitivity of groundwater levels to low-frequency climate variability in a large watershed L. Baulon et al. https://doi.org/10.1016/j.scitotenv.2024.177636
6440. Multi-centennial evolution of the climate response and deep-ocean heat uptake in a set of abrupt stabilization scenarios with EC-Earth3 F. Fabiano et al. https://doi.org/10.5194/esd-15-527-2024
6441. Historical and Projected Trends of the Mean Surface Temperature in South-Southeast Mexico Using ERA5 and CMIP6 M. Andrade-Velázquez & M. Montero-Martínez https://doi.org/10.3390/cli11050111
6442. The impact of the extratropical North Pacific on the quasi-biennial variability in ENSO Y. Wang et al. https://doi.org/10.1007/s00382-023-06792-w
6443. Soil degradation in Europe is projected to accelerate under changing land use and climate M. Afshar et al. https://doi.org/10.1038/s44458-026-00064-4
6444. Human-caused sea level rise drives 21st-century worldwide water level extremes D. Gilford et al. https://doi.org/10.1126/sciadv.adz3595
6445. Skillful Coupled Atmosphere‐Ocean Forecasts on Interannual to Decadal Timescales Using a Linear Inverse Model L. Taylor & G. Hakim https://doi.org/10.1029/2022EA002679
6446. Multivariate drought risk assessment of tropical river basin in South India under SSP scenarios R. Andimuthu et al. https://doi.org/10.1007/s00704-024-05048-9
6447. What strategies would sheep farmers implement to respond to climate change? A cross-national comparison of sheep farming systems in the Mediterranean D. Martin-Collado et al. https://doi.org/10.1016/j.smallrumres.2025.107576
6448. Increased population exposure to Amphan‐scale cyclones under future climates D. Mitchell et al. https://doi.org/10.1002/cli2.36
6449. Heterogeneous future Arctic Ocean primary productivity changes projected in CMIP6 L. Champiot-Bayard et al. https://doi.org/10.5194/bg-23-4735-2026
6450. Recent progress in understanding the interaction between ENSO and the East Asian winter monsoon: A review T. Ma & W. Chen https://doi.org/10.3389/feart.2023.1098517
6451. Sea-level rise in Venice: historic and future trends (review article) D. Zanchettin et al. https://doi.org/10.5194/nhess-21-2643-2021
6452. Assessment of South America summer rainfall climatology and trends in a set of global climate models large ensembles L. Díaz et al. https://doi.org/10.1002/joc.6643
6453. North Atlantic Oscillation (NAO) in the Paleoclimate Modelling Intercomparison Project (PMIP) A. Zhao et al. https://doi.org/10.5194/cp-22-689-2026
6454. Tropical Cyclone Precipitation Response to Surface Warming in Aquaplanet Simulations With Uniform Thermal Forcing A. Stansfield & K. Reed https://doi.org/10.1029/2021JD035197
6455. Are the alternative ecosystem states produced by positive fire-flammability feedbacks reversible? P. Zylstra & D. Lindenmayer https://doi.org/10.1088/1748-9326/ae18e7
6456. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al. https://doi.org/10.5194/bg-20-1313-2023
6457. Future Amplification of Sea Surface Temperature Seasonality Due To Enhanced Ocean Stratification A. Jo et al. https://doi.org/10.1029/2022GL098607
6458. Optimizing Regional Rice Management Prescriptions Under Future Climate Scenarios Using a Generalized Additive Model: A Case Study in Jiangsu Province, China J. Qiu et al. https://doi.org/10.3390/agronomy16080806
6459. Future hydrological drought changes over the upper Yellow River basin: The role of climate change, land cover change and reservoir operation P. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.129128
6460. Climate projections for Greece: Defining a regional sub-ensemble from the CMIP6 landscape A. Tsilimigkras et al. https://doi.org/10.1007/s00704-026-06029-w
6461. Soil microbial taxonomic traits control the biogeography of carbon use efficiency Y. Wang et al. https://doi.org/10.1016/j.agee.2026.110341
6462. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. https://doi.org/10.1029/2021EF002644
6463. The emergence of prolonged deadly humid heatwaves X. Wang et al. https://doi.org/10.1002/joc.7750
6464. Microgrid design and multi-year dispatch optimization under climate-informed load and renewable resource uncertainty M. Macmillan et al. https://doi.org/10.1016/j.apenergy.2024.123355
6465. Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic J. Resler et al. https://doi.org/10.5194/gmd-14-4797-2021
6466. Population Aging and Heat Exposure in the 21st Century: Which U.S. Regions Are at Greatest Risk and Why? D. Carr et al. https://doi.org/10.1093/geront/gnad050
6467. Global dependency of canopy height on vapour pressure deficit and its projections under climate change W. Zhang et al. https://doi.org/10.1038/s41559-025-02913-2
6468. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. https://doi.org/10.5194/gmd-14-7659-2021
6469. Multidecadal Variations in East Asian Winter Temperature Since 1880: Internal Variability Versus External Forcing J. Miao & D. Jiang https://doi.org/10.1029/2022GL099597
6470. Statistical evaluation of future soil moisture changes in East Asia projected in a CMIP5 multi-model ensemble T. Nakaegawa https://doi.org/10.3178/hrl.11.37
6471. Response of Larix sibirica Radial Growth to Climate Change in Kanas, Northern Xinjiang, China J. Hou et al. https://doi.org/10.3390/f15122137
6472. Replicability of Annual and Seasonal Precipitation by CMIP5 and CMIP6 GCMs over East Asia M. Shiru et al. https://doi.org/10.1007/s12205-022-0992-6
6473. Reduced growth of Qinghai spruce due to snow cover loss in high Asian elevations since the late 20th century J. Wei et al. https://doi.org/10.1007/s11676-025-01848-5
6474. The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1 K. Wyser et al. https://doi.org/10.5194/gmd-14-4781-2021
6475. Anthropogenic and atmospheric variability intensifies flash drought episodes in South Asia I. Ullah et al. https://doi.org/10.1038/s43247-024-01390-y
6476. Spatiotemporal projections of precipitation and temperature over Afghanistan based on CMIP6 global climate models F. Farhat et al. https://doi.org/10.1007/s40808-022-01361-2
6477. Unraveling forced responses of extreme El Niño variability over the Holocene A. Lawman et al. https://doi.org/10.1126/sciadv.abm4313
6478. The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. https://doi.org/10.1002/joc.8567
6479. Probabilistic life-cycle landslide assessment subjected to nonstationary rainfall based on alternating stochastic renewal process Z. He et al. https://doi.org/10.1016/j.enggeo.2024.107543
6480. The propagation from atmospheric flash drought to soil flash drought and its changes in a warmer climate F. Ma & X. Yuan https://doi.org/10.1016/j.jhydrol.2025.132877
6481. The Response of the Ozone Layer to Quadrupled CO2 Concentrations: Implications for Climate G. Chiodo & L. Polvani https://doi.org/10.1175/JCLI-D-19-0086.1
6482. Transformer-based soil moisture simulation for understanding future drying trend globally Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134709
6483. Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change I. de Vries et al. https://doi.org/10.5194/esd-14-81-2023
6484. Projected changes in temperature and precipitation over mainland Southeast Asia by CMIP6 models S. Supharatid et al. https://doi.org/10.2166/wcc.2021.015
6485. A global dataset for the projected impacts of climate change on four major crops T. Hasegawa et al. https://doi.org/10.1038/s41597-022-01150-7
6486. The Climatic Impact‐Driver Framework for Assessment of Risk‐Relevant Climate Information A. Ruane et al. https://doi.org/10.1029/2022EF002803
6487. Climate-Induced Annual and Interannual Processual Shifts in Ecohydrological Regimes and Their Evaluations in Jinsha River Basin, China X. Ju et al. https://doi.org/10.1061/JHYEFF.HEENG-5906
6488. Projected changes in hydro-climatic extremes with CMIP6 climate model outputs: a case of rain-fed river systems in Western Nepal T. Bhattarai et al. https://doi.org/10.1007/s00477-022-02312-0
6489. Understanding spatiotemporal variation of heatwave projections across US cities S. Bhattarai et al. https://doi.org/10.1038/s41598-025-95097-5
6490. Simulation of global sea surface temperature maps using Pix2Pix GAN D. Chakraborty & A. Mitra https://doi.org/10.1017/eds.2024.38
6491. Robust Increase in Indian Summer Monsoon Intraseasonal Variability in a Warmer Climate G. Konda et al. https://doi.org/10.1007/s00376-025-5031-3
6492. Pronounced spatial disparity of projected heatwave changes linked to heat domes and land-atmosphere coupling F. Cai et al. https://doi.org/10.1038/s41612-024-00779-y
6493. Using Climate Model Simulations to Constrain Observations B. Santer et al. https://doi.org/10.1175/JCLI-D-20-0768.1
6494. Future projections of summer precipitation-driving mechanisms over the South American Altiplano J. Agudelo et al. https://doi.org/10.1007/s00382-025-07656-1
6495. Surging compound drought–heatwaves underrated in global soils X. Fan et al. https://doi.org/10.1073/pnas.2410294121
6496. Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes O. Desgué-Itier et al. https://doi.org/10.5194/hess-27-837-2023
6497. Climatic Suitability of Cornus officinalis Across Paleoclimatic, Current, and Future Climates: Implications for Conservation and Climate-Informed Cultivation Y. Li et al. https://doi.org/10.3390/horticulturae12080989
6498. Regionally high risk increase for precipitation extreme events under global warming C. Martinez-Villalobos & J. Neelin https://doi.org/10.1038/s41598-023-32372-3
6499. Atmospheric responses to the interannual variability of sea surface temperature front in the summertime Southern Ocean Q. Rao et al. https://doi.org/10.1007/s00382-023-07093-y
6500. Minor carbon sequestration under nitrogen deposition due to downregulated nitrogen uptake and use efficiency S. Wang et al. https://doi.org/10.1016/j.agrformet.2024.110220
6501. Regional Signatures of Forced North Atlantic SST Variability: A Limited Role for Aerosols and Greenhouse Gases S. Baek et al. https://doi.org/10.1029/2022GL097794
6502. Marginal ice zone dynamics: future research perspectives and pathways L. Bennetts et al. https://doi.org/10.1098/rsta.2021.0267
6503. A hybrid approach analysis of cmip6 multi-model ensemble simulations of moist heatwaves in Sokoto Rima Basin, Nigeria (1981–2100) M. Ahmed et al. https://doi.org/10.1007/s00704-026-06609-w
6504. Climate change, dams, and irrigation expansion reshape water–energy trade-offs in the Lancang–Mekong River Basin H. Zhao et al. https://doi.org/10.1016/j.jhydrol.2026.135371
6505. Event selection for dynamical downscaling: a neural network approach for physically-constrained precipitation events J. Gómez-Navarro et al. https://doi.org/10.1007/s00382-019-04818-w
6506. Projected Non-Monotonic Changes in the Potential Suitable Range of Phyllanthus emblica in China Under Future Climate Scenarios Y. Xiang et al. https://doi.org/10.3390/biology15181600
6507. The vertical profile of recent tropical temperature trends: Persistent model biases in the context of internal variability D. Mitchell et al. https://doi.org/10.1088/1748-9326/ab9af7
6508. Utilizing Ecological Modeling to Follow the Potential Spread of Honey Bee Pest (Megaselia scalaris) from Nearby Countries towards Saudi Arabia under Climate Change Conditions A. Alkhalaf https://doi.org/10.3390/d14040261
6509. A new spatial optimization layout framework for urban LID facilities in response to climate change impacts W. Li et al. https://doi.org/10.1016/j.scs.2025.106686
6510. Ion–Molecule Chemistry Relevant to Iodine in the Upper Atmosphere T. Lewis et al. https://doi.org/10.1021/acsearthspacechem.6c00175
6511. The roadmap of climate models M. Latif https://doi.org/10.1038/s43588-022-00322-0
6512. Constrained high-resolution projection of hot extremes in the Beijing–Tianjin–Hebei region of China J. Yang et al. https://doi.org/10.1016/j.accre.2023.04.008
6513. Selection of a representative subset of global climate models that captures the profile of regional changes for integrated climate impacts assessment A. Ruane & S. McDermid https://doi.org/10.1186/s40322-017-0036-4
6514. Long-term coupled variability of temperature and precipitation in eastern China and the underlying mechanisms Y. Zhang et al. https://doi.org/10.1007/s00382-023-06963-9
6515. Climate change shifts the North Pacific storm track polewards R. Chemke & J. Yuval https://doi.org/10.1038/s41586-025-09895-y
6516. Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models X. LIU et al. https://doi.org/10.1080/16742834.2020.1824983
6517. Improved Simulation of the QBO in E3SMv1 J. Richter et al. https://doi.org/10.1029/2019MS001763
6518. Emergent Constraint on the Frequency of Central Pacific El Niño Under Global Warming by the Equatorial Pacific Cold Tongue Bias in CMIP5/6 Models W. Jiang et al. https://doi.org/10.1029/2020GL089519
6519. Investigating the applicability of emergent constraints A. Winkler et al. https://doi.org/10.5194/esd-10-501-2019
6520. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. https://doi.org/10.5194/acp-20-14547-2020
6521. Declining Predictions of Net Ecosystem Production in US Rivers and Streams Throughout the 21st Century Q. Guan et al. https://doi.org/10.1021/acs.est.5c05623
6522. Invited perspectives: Towards usable compound event research K. Kornhuber et al. https://doi.org/10.5194/nhess-26-4309-2026
6523. HiCPC: A new 10-km CMIP6 downscaled daily climate projections over China H. Yuan et al. https://doi.org/10.1038/s41597-024-03982-x
6524. Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions A. Bayer et al. https://doi.org/10.5194/esd-8-91-2017
6525. Projection of climate change impacts on hydropower in the source region of the Yangtze River based on CMIP6 Y. Zhao et al. https://doi.org/10.1016/j.jhydrol.2022.127453
6526. Impact of climate change on nearly zero-energy dwelling in temperate climate: Time-integrated discomfort, HVAC energy performance, and GHG emissions R. Rahif et al. https://doi.org/10.1016/j.buildenv.2022.109397
6527. Modeling the Sulfate Aerosol Evolution After Recent Moderate Volcanic Activity, 2008–2012 C. Brodowsky et al. https://doi.org/10.1029/2021JD035472
6528. Exploring future projections of wind power density over the Caribbean region in CMIP6 models. H. Arregocés et al. https://doi.org/10.1016/j.egyr.2025.03.039
6529. Likelihoods of compound dry-hot-windy events are projected to increase under global warming Q. Ma et al. https://doi.org/10.1016/j.atmosres.2025.108119
6530. Machine learning to optimize climate projection over China with multi-model ensemble simulations T. Li et al. https://doi.org/10.1088/1748-9326/ac1d0c
6531. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. https://doi.org/10.1029/2022MS003475
6532. Substantial contribution of land-atmosphere interactions to the intensification of compound drought and heatwave events under rising CO2 R. Xing et al. https://doi.org/10.1016/j.gloplacha.2026.105722
6533. Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas https://doi.org/10.1038/s41558-023-01775-5
6534. Climate change projections for building energy simulation studies: a CORDEX-based methodological approach to manage uncertainties T. Coronato et al. https://doi.org/10.1007/s10584-024-03710-9
6535. Impact of deoxygenation and warming on global marine species in the 21st century A. Morée et al. https://doi.org/10.5194/bg-20-2425-2023
6536. Spurious North Tropical Atlantic precursors to El Niño W. Zhang et al. https://doi.org/10.1038/s41467-021-23411-6
6537. Substantially increased risk of elderly to compound heat and drought events in coastal China under 1.5 °C–3.0 °C warming scenarios J. Chen et al. https://doi.org/10.1016/j.ijdrr.2025.105575
6538. Assessment of the impacts of biological nitrogen fixation structural uncertainty in CMIP6 earth system models T. Davies-Barnard et al. https://doi.org/10.5194/bg-19-3491-2022
6539. Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach H. Huang et al. https://doi.org/10.1007/s13253-022-00518-x
6540. Design principles for the IPCC emission scenario ensemble F. Nappo https://doi.org/10.1016/j.shpsa.2026.102149
6541. Assessing the Impact of Climate Change on the Distribution of Lime (16srii-B) and Alfalfa (16srii-D) Phytoplasma Disease Using MaxEnt A. Al Ruheili et al. https://doi.org/10.3390/plants10030460
6542. Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al. https://doi.org/10.1038/s41467-025-56730-z
6543. Basin-wide and coastal modes of north tropical Atlantic variability have distinct impacts on hurricanes Y. Liu et al. https://doi.org/10.1038/s43247-025-02529-1
6544. Shoreward shift of oceanic mesoscale activity over the last three decades S. Zhou et al. https://doi.org/10.1038/s41467-025-65359-x
6545. Bias-corrected CMIP6 ensemble projections of temperature extremes and precipitation regimes in the Omo-Kuraz Watershed, Ethiopia: Implications for water security K. Erenso et al. https://doi.org/10.1016/j.envc.2026.101649
6546. Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions L. Wilcox et al. https://doi.org/10.5194/acp-20-11955-2020
6547. Quantifying the effects of the diurnal cycle in the variability of rainfall D. Zermeño‐Díaz https://doi.org/10.1002/joc.7084
6548. PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset J. Xiong & Y. Yang https://doi.org/10.1038/s41597-025-05790-3
6549. Historical and future extremes of cauvery basin analysed using cmip6 models and ETCCDI indices S. Sridhara et al. https://doi.org/10.1038/s41598-026-42818-z
6550. A systematic framework for the assessment of sustainable hydropower potential in a river basin – The case of the upper Indus S. Dhaubanjar et al. https://doi.org/10.1016/j.scitotenv.2021.147142
6551. Global climate system response to SOFIA Antarctic meltwater in HadCM3-M2.1 A. Mistry et al. https://doi.org/10.5194/tc-19-6989-2025
6552. Projections of Arctic sea ice conditions and shipping routes in the twenty-first century using CMIP6 forcing scenarios T. Wei et al. https://doi.org/10.1088/1748-9326/abb2c8
6553. Data-driven predictions of the time remaining until critical global warming thresholds are reached N. Diffenbaugh & E. Barnes https://doi.org/10.1073/pnas.2207183120
6554. Construction of a tephra-based multi-archive coherent chronological framework for the last deglaciation in the Mediterranean region L. Bazin et al. https://doi.org/10.1016/j.quascirev.2019.05.018
6555. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. https://doi.org/10.1029/2021WR030007
6556. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. https://doi.org/10.1029/2021GL096037
6557. Attribution of the Record‐Breaking Extreme Precipitation Events in July 2021 Over Central and Eastern China to Anthropogenic Climate Change L. Wang et al. https://doi.org/10.1029/2023EF003613
6558. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. https://doi.org/10.1088/1748-9326/aca91e
6559. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
6560. Assessment of Carbon Storage in a Multifunctional Landscape: A Case Study of Central Asia X. Dong et al. https://doi.org/10.3390/land13060801
6561. Response of Storm-Related Extreme Sea Level along the U.S. Atlantic Coast to Combined Weather and Climate Forcing J. Yin et al. https://doi.org/10.1175/JCLI-D-19-0551.1
6562. Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. https://doi.org/10.1016/j.rse.2017.01.007
6563. The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China Y. Liu et al. https://doi.org/10.2166/wcc.2022.213
6564. Using iterative reverse scenario logic to manage model risk in financial climate risk assessment M. Gerst et al. https://doi.org/10.1007/s10584-026-04260-y
6565. New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. https://doi.org/10.1029/2019MS001642
6566. Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales C. Gallo et al. https://doi.org/10.5194/gmd-16-3103-2023
6567. Hydrological feedback from projected Earth greening in the 21st century J. Wu et al. https://doi.org/10.1016/j.horiz.2022.100007
6568. Machine unlearning: bias correction in neural network downscaled storms S. Papalexiou & A. Mamalakis https://doi.org/10.1016/j.jhydrol.2025.134689
6569. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
6570. Extreme Tibetan Plateau cooling caused by tropical volcanism X. Zhu et al. https://doi.org/10.1038/s41612-024-00672-8
6571. Improving CMIP6 projections of daily precipitation using a mean-adjusted time variability correction technique Y. Shao & C. Bishop https://doi.org/10.1007/s00382-025-07731-7
6572. Possible changes in Sudan's future precipitation under the high and medium emission scenarios based on bias adjusted GCMs M. Hamadalnel et al. https://doi.org/10.1016/j.atmosres.2022.106036
6573. Features of active and break spells over monsoon core region of india during southwest monsoon simulated by CMIP6 GCMs T. Kesavavarthini et al. https://doi.org/10.1007/s00703-026-01154-7
6574. Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China X. Zhang et al. https://doi.org/10.3390/rs16183410
6575. Decadal Predictability of the North Atlantic Eddy‐Driven Jet in Winter A. Marcheggiani et al. https://doi.org/10.1029/2022GL102071
6576. Climate change impacts on hydrology and water resources in East Africa considering CMIP3, CMIP5, and CMIP6 C. Onyutha https://doi.org/10.3389/fclim.2024.1453726
6577. STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. https://doi.org/10.5194/esd-13-1557-2022
6578. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. https://doi.org/10.1029/2022EF003179
6579. Ecological Niche Differentiation and Distribution Dynamics Revealing Climate Change Responses in the Chinese Genus Dysosma R. Chen et al. https://doi.org/10.3390/plants15010162
6580. Large variability in response to projected climate and land‐use changes among European bumblebee species R. Prestele et al. https://doi.org/10.1111/gcb.15780
6581. Diversity of the climatological seasonal march of East Asian summer monsoon rainfall among the CMIP6 models T. Yu et al. https://doi.org/10.1016/j.gloplacha.2024.104558
6582. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. https://doi.org/10.1038/s41586-024-07878-z
6583. Triple‐Dip La Niña in 2020–23: North Pacific Atmosphere Drives 2nd Year La Niña T. Iwakiri et al. https://doi.org/10.1029/2023GL105763
6584. Projected impact of carbon dioxide (CO2) removal from the atmosphere on radiative flux over West Africa E. Uzoma & M. Adeniyi https://doi.org/10.1007/s12040-024-02408-x
6585. More extreme precipitation over the Yangtze River Basin, China: Insights from historical and projected perspectives X. Wu et al. https://doi.org/10.1016/j.atmosres.2023.106883
6586. Projected changes in synoptic circulations over Europe and their implications for summer precipitation: A CMIP6 perspective P. Herrera‐Lormendez et al. https://doi.org/10.1002/joc.8033
6587. Reconsidering the lower end of long-term climate scenarios S. Fujimori et al. https://doi.org/10.1371/journal.pclm.0000318
6588. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6 N. Gillett et al. https://doi.org/10.5194/gmd-9-3685-2016
6589. Parallel Post-Processing of the Earth Climate Model Output G. van den Oord & R. Bakhshi https://doi.org/10.1016/j.procs.2017.05.146
6590. On the simulations of latent heat flux over the Indian Ocean in CMIP6 models S. Mohan & R. Ruchith https://doi.org/10.1007/s00382-023-06871-y
6591. Glacier projections sensitivity to temperature-index model choices and calibration strategies L. Schuster et al. https://doi.org/10.1017/aog.2023.57
6592. Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios D. Hueholt et al. https://doi.org/10.1038/s41467-024-47656-z
6593. Contrasting tropical precipitation and ecosystem response to Indian Ocean Dipole in a warming climate P. Swapna et al. https://doi.org/10.1016/j.scitotenv.2025.179081
6594. Dynamics of water-energy-food nexus interactions with climate change and policy options L. Wu et al. https://doi.org/10.1088/2515-7620/ac4bab
6595. Projection of China’s future runoff based on the CMIP6 mid-high warming scenarios J. Zhou et al. https://doi.org/10.1007/s11430-022-1055-5
6596. Scenario-based analysis of rainfall erosivity trends in Taiwan K. Nguyen & W. Chen https://doi.org/10.1016/j.indic.2026.101232
6597. Projected near-future changes in precipitation extremes over Anambra-Imo River Basin inferred from CMIP6 HighResMIP C. Ibe et al. https://doi.org/10.1007/s44292-024-00008-4
6598. Future Changes in Global Atmospheric Rivers Projected by CMIP6 Models L. Zhang et al. https://doi.org/10.1029/2023JD039359
6599. Robust spatial changes in climate classes: insights from bias-corrected CMIP6 models across Chile N. Vásquez et al. https://doi.org/10.1088/1748-9326/ad9d5b
6600. Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network H. Xiao et al. https://doi.org/10.1016/j.accre.2022.06.001
6601. Effects of Climate Change on the Global Distribution of Trachypteris picta (Coleoptera: Buprestidae) H. Liu et al. https://doi.org/10.3390/insects16080802
6602. Methodological framework for reliable high-resolution regional wave climate projections using statistical and dynamical techniques N. Lakku & M. Behera https://doi.org/10.1016/j.oceaneng.2025.120364
6603. Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 F. Lehner et al. https://doi.org/10.5194/esd-11-491-2020
6604. Evolving Non-Communicable Disease Mortality Risk Under Temperature Extremes in the Metropolitan Area of the Valley of Mexico: A Bayesian Spatiotemporal Analysis (2000–2019) C. González-Salazar & O. Cordero-Saldierna https://doi.org/10.3390/su18083676
6605. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. https://doi.org/10.5194/acp-21-853-2021
6606. Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics G. Pak et al. https://doi.org/10.1007/s12601-021-00001-7
6607. Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect‐Model Test of the Method Q. Wu & J. Gregory https://doi.org/10.1029/2022MS002999
6608. Future Climate Extremes in Bangladesh: Insights from a Multi-Model Ensemble of CMIP6 Simulations F. Nazrul et al. https://doi.org/10.1007/s41748-025-00681-4
6609. Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere I. Park et al. https://doi.org/10.1038/s41558-023-01728-y
6610. The primary factors influencing the cooling effect of carbon dioxide removal X. Qu & G. Huang https://doi.org/10.1038/s41612-023-00547-4
6611. Substantial inter-model variation in OAE efficiency between the CESM2/MARBL and ECCO-Darwin ocean biogeochemistry models M. Tyka et al. https://doi.org/10.5194/bg-23-4943-2026
6612. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
6613. Verification of Seasonal Ensemble Forecasts Based on the INM-CM5 Earth System Model V. Khan et al. https://doi.org/10.3103/S1068373924070033
6614. Collapse of climatic refugia under compound climate hazards in the Middle East and North Africa Y. Khosravi & T. Ouarda https://doi.org/10.1038/s44304-026-00213-8
6615. Estimating future changes in streamflow and suspended sediment load under CMIP6 multi-model ensemble projections: a case study of Bitlis Creek, Turkey E. Yalcin https://doi.org/10.1007/s11600-024-01439-8
6616. Forecasting the circum-Mediterranean firs (Abies spp., Pinaceae) distribution: an assessment of a threatened conifers’ group facing climate change in the twenty-first century J. López-Tirado et al. https://doi.org/10.1007/s11056-023-09972-y
6617. Quantification of run-of-river hydropower potential in the Upper Indus basin under climate change S. Dhaubanjar et al. https://doi.org/10.3389/frwa.2023.1256249
6618. Projection of tropical cyclone genesis under climate change with convolutional mixing neural networks F. Hu & Q. Li https://doi.org/10.1016/j.atmosres.2025.108610
6619. The biogeophysical effects of carbon fertilization of the terrestrial biosphere R. Allen https://doi.org/10.5194/acp-25-10361-2025
6620. CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO2 in a Coupled Carbon-Climate Simulation J. Zhu et al. https://doi.org/10.1007/s00376-023-3172-9
6621. The Geoheritage of Mount Ararat and its Vicinity: An Assessment of Geodiversity with a Focus on Glaciation and Mountaineering E. Canpolat et al. https://doi.org/10.1007/s12371-026-01269-8
6622. A review of interactions between ocean heat transport and Arctic sea ice D. Docquier & T. Koenigk https://doi.org/10.1088/1748-9326/ac30be
6623. ENSO‐induced decadal variability in the tropical Pacific subsurface in CMIP6 models Y. Chen & P. Huang https://doi.org/10.1002/joc.8071
6624. The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. https://doi.org/10.5194/gmd-16-5427-2023
6625. Dynamical downscaling projections of mean and extreme climate over the Tibetan Plateau under 2 SSP scenarios J. Zhou et al. https://doi.org/10.1016/j.wace.2025.100747
6626. Future Streamflow Projections in a Semi-Arid Mountain Basin Using Machine Learning and CMIP6 Climate Scenarios: The Case of the Zat River (Morocco) S. Rachidi et al. https://doi.org/10.3390/atmos17090841
6627. Drier North American Monsoon in Contrast to Asian–African Monsoon under Global Warming C. He et al. https://doi.org/10.1175/JCLI-D-20-0189.1
6628. The Southern Ocean Radiative Bias, Cloud Compensating Errors, and Equilibrium Climate Sensitivity in CMIP6 Models A. Schuddeboom & A. McDonald https://doi.org/10.1029/2021JD035310
6629. Kinetics of O3 with Ca+ and Its Higher Oxides CaOn+ (n = 1–3) and Updates to a Model of Meteoric Calcium in the Mesosphere and Lower Thermosphere N. Shuman et al. https://doi.org/10.1021/acs.jpca.3c01126
6630. Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific K. von Salzen et al. https://doi.org/10.1038/s41467-025-65127-x
6631. Rapid 21st Century Weakening of the Agulhas Current in a Warming Climate R. Zhang et al. https://doi.org/10.1029/2022GL102070
6632. Greenland ice sheet climate disequilibrium and committed sea-level rise J. Box et al. https://doi.org/10.1038/s41558-022-01441-2
6633. Future precipitation and near surface air-temperature projection using CMIP6 models based on TOPSIS method: case study, Sistan-and-Baluchestan Province of Iran N. Pegahfar https://doi.org/10.1007/s10661-023-12084-x
6634. Climate Change: Causes, Consequences, and Current Challenges V. Semenov https://doi.org/10.1134/S1019331625602750
6635. Single hemisphere air-sea interaction shapes the South Pacific surface warming and wind change J. Ma et al. https://doi.org/10.1038/s41612-025-01299-z
6636. Bias Correction of Terrestrial Water Availability: Comparison of Trend‐Preserving Cumulative Distribution Function Matching Methods J. Li & B. Qin https://doi.org/10.1002/asl.1312
6637. Spatiotemporal dynamics of Bacillus anthracis under climate change: a machine learning approach S. Khalaf et al. https://doi.org/10.3389/fmicb.2025.1659876
6638. East Asian summer monsoon response to anthropogenic aerosols redistribution: contrasting 1950–1980 and 1980–2010 to understand the role of non-Asian forcing Z. Shao et al. https://doi.org/10.1007/s00382-023-07016-x
6639. Projection of precipitation and temperature in major cities of Pakistan using multi-model ensembles F. Shah & A. Sharifi https://doi.org/10.1016/j.uclim.2025.102430
6640. Integration of resilient cooling technologies in building stock: Impact on thermal comfort, final energy consumption, and GHG emissions E. Elnagar et al. https://doi.org/10.1016/j.buildenv.2024.111666
6641. Projected changes in temperature and rainfall patterns over Kerala under moderate and high emission scenarios A. Johny & P. Pranavananth https://doi.org/10.1007/s12040-026-02921-1
6642. Human-induced warming accelerates local evapotranspiration and precipitation recycling over the Tibetan Plateau T. Cheng et al. https://doi.org/10.1038/s43247-024-01563-9
6643. Past and future effects of climate on the metapopulation dynamics of a Northeast Atlantic seabird across two centuries J. Jeglinski et al. https://doi.org/10.1111/ele.14479
6644. Projections of meteorological drought severity-duration variations based on CMIP6 F. Behzadi et al. https://doi.org/10.1038/s41598-024-55340-x
6645. The future of agricultural lands under the combined influence of shared socioeconomic pathways and urban expansion by 2050 A. Sadian & H. Shafizadeh-Moghadam https://doi.org/10.1016/j.agsy.2024.104234
6646. Atmospheric blocking representation in storm-resolving climate models under historical and future forcing E. Dolores-Tesillos et al. https://doi.org/10.5194/wcd-7-1089-2026
6647. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. https://doi.org/10.1007/s00382-022-06436-5
6648. Future projection of climate extremes across contiguous northeast India and Bangladesh A. Paul & R. Maity https://doi.org/10.1038/s41598-023-42360-2
6649. Improved subseasonal-to-seasonal precipitation prediction of climate models with nudging approach for better initialization of Tibetan Plateau-Rocky Mountain Circumglobal wave train and land surface conditions Y. Qin et al. https://doi.org/10.1007/s00382-023-07082-1
6650. Atmospheric blocking and temperatures in the Antarctic Peninsula D. Bozkurt et al. https://doi.org/10.1016/j.scitotenv.2024.172852
6651. Satellite-based radiative forcing by light-absorbing particles in snow across the Northern Hemisphere J. Cui et al. https://doi.org/10.5194/acp-21-269-2021
6652. Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora L. Marshall et al. https://doi.org/10.5194/acp-18-2307-2018
6653. Trophic amplification: A model intercomparison of climate driven changes in marine food webs V. Guibourd de Luzinais et al. https://doi.org/10.1371/journal.pone.0287570
6654. Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations P. Nowack et al. https://doi.org/10.1088/1748-9326/aae2be
6655. Direct and semi-direct aerosol effects on the scaling of extreme sub-daily precipitation over East China S. Li et al. https://doi.org/10.1088/1748-9326/ad9294
6656. Normal Mode Perspective on the 2016 QBO Disruption: Evidence for a Basic State Regime Transition B. Raphaldini et al. https://doi.org/10.1029/2020GL087274
6657. Assessing discrepancies in global aerosol trends from satellites, models and reanalyses R. Urraca et al. https://doi.org/10.1016/j.rse.2025.114827
6658. A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections X. Tibau et al. https://doi.org/10.1017/eds.2022.11
6659. Contributions of Nordic anthropogenic emissions on air pollution and premature mortality over the Nordic region and the Arctic U. Im et al. https://doi.org/10.5194/acp-19-12975-2019
6660. The predictability of snow depth at the North Hemisphere originated from persistence and oceanic forcing S. Zhu et al. https://doi.org/10.1007/s00382-022-06356-4
6661. Assessment of Aerosol Optical Depth, Cloud Fraction, and Liquid Water Path in CMIP6 Models Using Satellite Observations J. Liang & J. Griswold https://doi.org/10.3390/rs17142439
6662. Gas exchange analysers exhibit large measurement error driven by internal thermal gradients J. Garen et al. https://doi.org/10.1111/nph.18347
6663. Assessing the global potential of Expanding Coastal Vegetated Ecosystems as a Carbon Dioxide Removal Method: results from a parameterization in an Earth System Model M. Liadova et al. https://doi.org/10.3389/fclim.2026.1832856
6664. Anthropogenic influences on the extremely dry and hot summer of 2020 in Southern China and projected changes in the likelihood of the event K. Wang et al. https://doi.org/10.1016/j.wace.2024.100706
6665. Detection and attribution for land surface air temperature warming in China based on a perfect model selection analysis of optimal fingerprint strategy Z. Guo et al. https://doi.org/10.1007/s00704-024-04966-y
6666. Analysing the PMIP4-CMIP6 collection: a workflow and tool (pmip_p2fvar_analyzer v1) A. Zhao et al. https://doi.org/10.5194/gmd-15-2475-2022
6667. Assessment of the potential for hydrokinetic energy production in the Douro river estuary under sea level rise scenarios M. Cruz et al. https://doi.org/10.1016/j.energy.2023.126960
6668. Influence of Stratospheric Ozone Changes on Stratospheric Temperature Trends in Recent Decades L. Zhou et al. https://doi.org/10.3390/rs14215364
6669. Evaluation of CMIP6 Global Climate Models for Rainfall Simulation Across Agro-Ecological Zones of Ethiopia T. Solomon & Y. Yimam https://doi.org/10.11648/j.ijssam.20261102.12
6670. High emissions could increase the future risk of maize drought in China by 60–70 % H. Jia et al. https://doi.org/10.1016/j.scitotenv.2022.158474
6671. Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. https://doi.org/10.1016/j.envpol.2024.124707
6672. Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes https://doi.org/10.1016/j.jhydrol.2023.129177
6673. Greenhouse gases drove the increasing trends in spring precipitation across the central USA W. Zhang & G. Villarini https://doi.org/10.1098/rsta.2019.0553
6674. Predicting sub‐continental fuel hazard under future climate and rising atmospheric CO2 concentration J. Yang et al. https://doi.org/10.1111/1365-2664.14486
6675. Changes in El Niño characteristics and air–sea feedback mechanisms under progressive global warming M. Shen & J. Yu https://doi.org/10.1007/s44195-023-00051-5
6676. Diagnosing the Radiation Biases in Global Climate Models Using Radiative Kernels H. Huang & Y. Huang https://doi.org/10.1029/2023GL103723
6677. Projected future changes in extreme climate indices affecting rice production in China using a multi-model ensemble of CMIP6 projections X. Chen et al. https://doi.org/10.3389/fpls.2025.1595367
6678. Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0 O. Fuhrer et al. https://doi.org/10.5194/gmd-11-1665-2018
6679. Statistical physics and dynamical systems perspectives on geophysical extreme events D. Faranda et al. https://doi.org/10.1103/PhysRevE.110.041001
6680. Evaluation of snow cover and snow water equivalent in the continental Arctic in CMIP5 models M. Santolaria-Otín & O. Zolina https://doi.org/10.1007/s00382-020-05434-9
6681. Assessing the consequences of including aerosol absorption in potential stratospheric aerosol injection climate intervention strategies J. Haywood et al. https://doi.org/10.5194/acp-22-6135-2022
6682. How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review J. Montillet et al. https://doi.org/10.1109/MGRS.2024.3379108
6683. An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis L. Leung et al. https://doi.org/10.1029/2019MS001821
6684. Modeling mitigation and adaptation co-benefits in rice systems in Bangladesh C. Rosenzweig et al. https://doi.org/10.1088/2976-601X/ae7e8e
6685. Assessing the stratospheric temperature response to volcanic sulfate injections by Mt. Pinatubo: insights from the Interactive Stratospheric Aerosol Model Intercomparison Project K. Perny et al. https://doi.org/10.5194/acp-26-10997-2026
6686. Assessing multivariate bias corrections of climate simulations on various impact models under climate change D. Allard et al. https://doi.org/10.5194/hess-29-4711-2025
6687. The strong role of external forcing in seasonal forecasts of European summer temperature M. Patterson et al. https://doi.org/10.1088/1748-9326/ac9243
6688. Evaluation of Extreme Precipitation over East China in CMIP6 Models H. Zhu & J. Yang https://doi.org/10.3390/atmos17020136
6689. Task aggregation as a strategy to optimize Earth System Model workflows in HPC: assessing real scenarios with EC-Earth P. Goitia et al. https://doi.org/10.5194/gmd-19-8501-2026
6690. Assessing the impact of climate change and a water management programme on white sturgeon physiology in the Nechako River, British Columbia M. Oyinlola et al. https://doi.org/10.1093/conphys/coaf014
6691. Exploring Afro-Asian water fluxes in CMIP5 and CMIP6 models: Present-day evaluation and future projections T. Adeliyi et al. https://doi.org/10.1016/j.scitotenv.2025.179374
6692. El Niño–Southern Oscillation Prediction Based on the Global Atmospheric Oscillation in CMIP6 Models I. Serykh https://doi.org/10.3390/cli13020025
6693. AREAdata: A worldwide climate dataset averaged across spatial units at different scales through time T. Smith et al. https://doi.org/10.1016/j.dib.2022.108438
6694. A 1 km monthly dataset of historical and future climate changes over China X. Hu et al. https://doi.org/10.1038/s41597-025-04761-y
6695. Adaptations to the stressful combination of serpentine soils and Mediterranean climate drive plant functional groups and trait richness N. Hidalgo-Triana et al. https://doi.org/10.3389/fpls.2023.1040839
6696. Assessment of climate change impacts on crop and irrigation water demand in the Awash River basin of Ethiopia using CMIP6 models E. Meskelu et al. https://doi.org/10.1007/s43832-025-00307-w
6697. Evaluation of the Pacific Decadal Oscillation from 1901 to 2014 in CMIP6 models Y. Xu et al. https://doi.org/10.3354/cr01711
6698. Exploring terrain-precipitation relationships with interpretable AI for advancing future climate projections H. Xu et al. https://doi.org/10.1016/j.ynexs.2024.100045
6699. Variations of Tropical Lapse Rates in Climate Models and their Implications for Upper Tropospheric Warming P. Keil et al. https://doi.org/10.1175/JCLI-D-21-0196.1
6700. Towards Informed Water Resources Planning and Management P. Reggiani et al. https://doi.org/10.3390/hydrology9080136
6701. Integrating climate scenarios and thermal welfare thresholds to project future heat stress risk in beef cattle G. Grossi et al. https://doi.org/10.1007/s00484-026-03217-1
6702. Assessment and ranking of CMIP6-global climate models over the Calabria region (southern Italy) G. Pellicone & T. Caloiero https://doi.org/10.1016/j.jhydrol.2025.133655
6703. Arctic stratospheric polar vortex collapse amplified South China extreme rainfall in April 2024 Q. Wang et al. https://doi.org/10.1038/s41612-025-01107-8
6704. Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change A. MacDougall https://doi.org/10.5194/bg-18-4937-2021
6705. Evaluating the Representation of Tropical Stratocumulus and Shallow Cumulus Clouds As Well As Their Radiative Effects in CMIP6 Models Using Satellite Observations N. Črnivec et al. https://doi.org/10.1029/2022JD038437
6706. Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe B. Thomas et al. https://doi.org/10.1016/j.renene.2025.123730
6707. Anthropogenic influence on seasonal extreme temperatures in eastern China at century scale T. Hu et al. https://doi.org/10.1016/j.wace.2024.100675
6708. Regional features of climate change and vegetation dynamics in the republic of djibouti: from observed trends to future scenarios E. Vyshkvarkova et al. https://doi.org/10.1007/s00704-026-06387-5
6709. Variability in Projected North American Mean and Extreme Temperature and Precipitation Trends for the 21st Century: Model‐To‐Model Differences Versus Internal Variability M. Kelleher et al. https://doi.org/10.1029/2022EF003161
6710. Global and Regional Climate Feedbacks in Response to Uniform Warming and Cooling M. Ringer et al. https://doi.org/10.1029/2023JD038861
6711. Piecewise‐quantile mapping improves bias correction of global climate model daily precipitation towards preserving quantiles and extremes Q. Zhang et al. https://doi.org/10.1002/joc.7687
6712. Controls of the transient climate response to emissions by physical feedbacks, heat uptake and carbon cycling R. Williams et al. https://doi.org/10.1088/1748-9326/ab97c9
6713. Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin S. Anil et al. https://doi.org/10.2166/wcc.2024.442
6714. Evaluation of the temperature downscaling performance of PRECIS to the BCC-CSM2-MR model over China J. Guo et al. https://doi.org/10.1007/s00382-022-06177-5
6715. Effects of multi-observations uncertainty and models similarity on climate change projections R. Pathak et al. https://doi.org/10.1038/s41612-023-00473-5
6716. Artificial intelligence reconstructs missing climate information C. Kadow et al. https://doi.org/10.1038/s41561-020-0582-5
6717. Predicted Streamflow Sensitivity to Climate Change Using TOPMODEL with CLIGEN Weather Generator in a Data-Sparse Medium-Sized Mediterranean Watershed P. Gorsevski https://doi.org/10.1007/s11269-026-04540-3
6718. Climate shifts within major agricultural seasons for +1.5 and +2.0 °C worlds: HAPPI projections and AgMIP modeling scenarios A. Ruane et al. https://doi.org/10.1016/j.agrformet.2018.05.013
6719. From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. https://doi.org/10.5194/gmd-15-2085-2022
6720. Future Projection of Temperature over The Korean Peninsula under Global Warming Targets of 1.5 and 2.0℃, Using the Multi-RCM Ensemble in CORDEX-EA Phase 2 D. Kim et al. https://doi.org/10.15531/KSCCR.2022.13.5.525
6721. Strong regional trends in extreme weather over the next two decades under high- and low-emissions pathways C. Iles et al. https://doi.org/10.1038/s41561-024-01511-4
6722. Global and Arctic effective radiative forcing of anthropogenic gases and aerosols in MRI-ESM2.0 N. Oshima et al. https://doi.org/10.1186/s40645-020-00348-w
6723. Impacts of Different Land Use Scenarios on Future Global and Regional Climate Extremes T. Hong et al. https://doi.org/10.3390/atmos13060995
6724. Hemispheric asymmetric response of tropical cyclones to CO2 emission reduction C. Liu et al. https://doi.org/10.1038/s41612-024-00632-2
6725. Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. https://doi.org/10.5194/gmd-11-915-2018
6726. Structure, modulation and impacts of southeastern Africa’s diurnal convection M. Jury https://doi.org/10.1007/s00704-024-04885-y
6727. Evaluation of NEX-GDDP-CMIP6 and CMIP6 for Extreme High Temperature Frequency and Intensity in the Sichuan–Chongqing Region with Future Projections Y. Wu et al. https://doi.org/10.3390/atmos17090886
6728. Effects of Climate Change on the Spatial Distribution of the Threatened Species Rhododendron purdomii in Qinling-Daba Mountains of Central China: Implications for Conservation H. Dong et al. https://doi.org/10.3390/su15043181
6729. Climate change impacts on temperature and precipitation over the Caspian Sea S. Hoseini et al. https://doi.org/10.1080/07900627.2024.2313050
6730. The role of the land surface for surface climate: results from a stepwise land–atmosphere coupling experiment W. May https://doi.org/10.1007/s00382-025-07602-1
6731. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al. https://doi.org/10.5194/acp-26-2487-2026
6732. Climate change threatens future climatically suitable habitat and protected area coverage of the greater naked-tailed armadillo (Cabassous tatouay) B. Fontes & R. Bovendorp https://doi.org/10.1007/s44353-026-00096-w
6733. Future wave climate in the NW Mediterranean from multi-model CMIP6 wind projections T. Houghton et al. https://doi.org/10.3389/fmars.2026.1753519
6734. Projections of Heat- and Cold-Related Mortality Under Climate Change Scenarios in Portugal: A Modelling Study M. Rodrigues & D. Carvalho https://doi.org/10.3390/atmos16020196
6735. A Realistic Projection of Climate Change in the Upper Atmosphere Into the 21st Century I. Cnossen https://doi.org/10.1029/2022GL100693
6736. Evaluating the future of climate modeling: A critical review of CMIP6 applications and their role in climate risk and impact assessments R. Guria et al. https://doi.org/10.1016/j.pce.2026.104591
6737. Seasonal prediction skills in the CAMS-CSM climate forecast system B. Liu et al. https://doi.org/10.1007/s00382-021-05848-z
6738. Increasing extreme precipitation variability plays a key role in future record-shattering event probability I. de Vries et al. https://doi.org/10.1038/s43247-024-01622-1
6739. Combining the Effects of Global Warming, Land Use Change and Dispersal Limitations to Predict the Future Distributions of East Asian Cerris Oaks (Quercus Section Cerris, Fagaceae) in China Y. Chen et al. https://doi.org/10.3390/f13030367
6740. Pushing the frontiers in climate modelling and analysis with machine learning V. Eyring et al. https://doi.org/10.1038/s41558-024-02095-y
6741. Climate-induced permafrost degradation exerts species-specific impacts on pine and larch growth in the Da Xing’anling Mountains, Northeast China Y. Wang et al. https://doi.org/10.1016/j.agrformet.2025.110665
6742. INDRA-CMIP6: Indian subcontinent high resolution Downscaled pRecipitation and Air temperature data from CMIP6 J. Mandal et al. https://doi.org/10.1038/s41597-026-07157-8
6743. Decadal heatwave fluctuations in China caused by the Indian and Atlantic Oceans N. Lei et al. https://doi.org/10.1088/1748-9326/ad5b05
6744. Computing extreme storm surges in Europe using neural networks T. Hermans et al. https://doi.org/10.5194/nhess-25-4593-2025
6745. HighResMIP models improve detection of intense cyclones over southeast South America H. Pinheiro & T. Ambrizzi https://doi.org/10.1007/s00382-026-08255-4
6746. Species distribution modeling and machine learning in assessing the potential distribution of freshwater zooplankton in Northern Italy N. Bellin et al. https://doi.org/10.1016/j.ecoinf.2022.101682
6747. Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling H. Nnamchi & M. Latif https://doi.org/10.1038/s41612-025-01041-9
6748. Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios G. Zhang et al. https://doi.org/10.1016/j.ejrh.2021.100898
6749. Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP A. Lauer et al. https://doi.org/10.5194/gmd-13-4205-2020
6750. Winter heavy precipitation events over Northern Europe modulated by a weaker NAO variability by the end of the 21st century R. Fuentes-Franco et al. https://doi.org/10.1038/s41612-023-00396-1
6751. Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques Y. Wu et al. https://doi.org/10.1029/2022EF002963
6752. Causal pathways underlying global soil moisture–precipitation coupling J. Sun et al. https://doi.org/10.1038/s41467-025-63999-7
6753. Influence of Canary upwelling system on coastal SST warming along the 21st century using CMIP6 GCMs R. Varela et al. https://doi.org/10.1016/j.gloplacha.2021.103692
6754. Moderate Indian Ocean Dipole dominates spring fire weather conditions in southern Australia X. Ren et al. https://doi.org/10.1088/1748-9326/ad4fa5
6755. High Climate Sensitivity in the Community Earth System Model Version 2 (CESM2) A. Gettelman et al. https://doi.org/10.1029/2019GL083978
6756. Potential Impacts of Climate Change on Renewable Energy and Storage Requirements for Grid Reliability and Resource Adequacy C. Ho et al. https://doi.org/10.1115/1.4062891
6757. Growing impact of wildfire on western US water supply A. Williams et al. https://doi.org/10.1073/pnas.2114069119
6758. Projections of Global Land Runoff Changes and Their Uncertainty Characteristics During the 21st Century C. Miao et al. https://doi.org/10.1029/2022EF003286
6759. Bias evaluation in rainfall over Southeast Asia in CMIP6 models S. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129593
6760. Missing sea level rise in southeastern Greenland during and since the Little Ice Age S. Woodroffe et al. https://doi.org/10.5194/cp-19-1585-2023
6761. Limited influence of the Agulhas leakage on the Atlantic Meridional Overturning Circulation under present-day climate conditions R. Zhang et al. https://doi.org/10.1038/s43247-025-02097-4
6762. Evaluation of global climate models for the simulation of precipitation and maximum and minimum temperatures at coarser and finer resolutions based on temporal and spatial assessment metrics in mainland of China Y. Lei et al. https://doi.org/10.2166/wcc.2023.464
6763. Projected change in occurrence and severity of heatwaves over West Africa as simulated by CMIP6 models M. Odunmorayo et al. https://doi.org/10.1007/s44367-025-00017-z
6764. Habitat suitability modelling and citizen science data to strengthen river basin-scale conservation planning for threatened aquatic avifauna A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2026.100761
6765. Interdecadal antiphase covariability between temperature and ozone over the mid–high latitudes of Eurasia in spring Y. Yang et al. https://doi.org/10.1016/j.aosl.2026.100904
6766. An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change P. Chang et al. https://doi.org/10.1029/2020MS002298
6767. Accounting for transience in the baseline climate state changes the surface climate response attributed to stratospheric aerosol injection A. Duffey & P. Irvine https://doi.org/10.1088/2752-5295/ad9f91
6768. Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation T. Michibata et al. https://doi.org/10.5194/gmd-12-4297-2019
6769. The Climate in Climate Economics D. Folini et al. https://doi.org/10.1093/restud/rdae011
6770. RELIABILITY ESTIMATION OF 6-MONTH PRECIPITATION PREDICTION IN ASIAN MONSOON REGION USING DEEP LEARNING K. KAJIYAMA & S. KANAE https://doi.org/10.2208/jscejj.24-16104
6771. Observationally-constrained projections of September ice-free Arctic by selecting optimal fingerprint strategy Q. Wang et al. https://doi.org/10.1007/s00382-026-08088-1
6772. Compound warm–dry and cold–wet events over the Mediterranean P. De Luca et al. https://doi.org/10.5194/esd-11-793-2020
6773. FORTE 2.0: a fast, parallel and flexible coupled climate model A. Blaker et al. https://doi.org/10.5194/gmd-14-275-2021
6774. Prescribing Zonally Asymmetric Ozone Climatologies in Climate Models: Performance Compared to a Chemistry‐Climate Model C. Rae et al. https://doi.org/10.1029/2018MS001478
6775. Human-induced weakening of the Northern Hemisphere tropical circulation R. Chemke & J. Yuval https://doi.org/10.1038/s41586-023-05903-1
6776. A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
6777. CO2 radiative forcing induces summer cooling over India J. Liu et al. https://doi.org/10.1038/s41467-026-69875-2
6778. Climatological changes in East Asian winter monsoon circulation in a warmer future C. Wu et al. https://doi.org/10.1016/j.atmosres.2022.106593
6779. Attributing improved diurnal temperature range simulations in CMIP6 to enhanced forcing responses X. Sun et al. https://doi.org/10.1016/j.atmosres.2026.108888
6780. Ensemble projections of fish distribution in response to climate changes in the Yellow and Bohai Seas, China Y. Chen et al. https://doi.org/10.1016/j.ecolind.2022.109759
6781. Forecasting hotspots of climatic suitability for grassland restoration under climate change in North America S. Rana et al. https://doi.org/10.1016/j.biocon.2025.110988
6782. Process-based climate change assessment for European winds using EURO-CORDEX and global models J. Wohland https://doi.org/10.1088/1748-9326/aca77f
6783. HydroNexus: A global techno-economic framework for resolving the energy-water conflict in green hydrogen production O. Yolcan https://doi.org/10.1016/j.ijhydene.2026.155257
6784. Skilful decadal-scale prediction of fish habitat and distribution shifts M. Payne et al. https://doi.org/10.1038/s41467-022-30280-0
6785. Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation J. de Oliveira-Júnior et al. https://doi.org/10.1038/s41598-025-86826-x
6786. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. https://doi.org/10.1029/2023GL102916
6787. Toward more robust net primary production projections in the North Atlantic Ocean S. Doléac et al. https://doi.org/10.5194/bg-22-841-2025
6788. Potentially suitable habitat prediction of Pinus massoniana Lamb. in China under climate change using Maxent model Y. Chi et al. https://doi.org/10.3389/ffgc.2023.1144401
6789. Climate Change Impacts on Maximum Aviation Payloads of Chinese Airports H. Song et al. https://doi.org/10.3390/atmos16050597
6790. Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model J. Xie et al. https://doi.org/10.1029/2020MS002171
6791. Modulation of the Predictability of the East Asian Summer Monsoon by the Interdecadal Pacific Oscillation Y. Zhang et al. https://doi.org/10.1029/2021JD035903
6792. The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models Y. Zhang et al. https://doi.org/10.1007/s00477-023-02406-3
6793. Invasion risks presented by Gonopsis affinis and the use of Trissolcus mitsukurii as a biological control agent under present and future climate conditions D. Lian et al. https://doi.org/10.1002/ps.7712
6794. A Schwarz iterative method to evaluate ocean–atmosphere coupling schemes: implementation and diagnostics in IPSL-CM6-SW-VLR O. Marti et al. https://doi.org/10.5194/gmd-14-2959-2021
6795. Evaluation of Extreme Temperatures Over Australia in the Historical Simulations of CMIP5 and CMIP6 Models X. Deng et al. https://doi.org/10.1029/2020EF001902
6796. R2D2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling M. Vrac & S. Thao https://doi.org/10.5194/gmd-13-5367-2020
6797. Temperature and urban heat island effect in Lublin city in Poland under changing climate D. Sachindra et al. https://doi.org/10.1007/s00704-022-04285-0
6798. Projected decline in the strength of vegetation carbon sequestration under climate change in India V. Bejagam et al. https://doi.org/10.1016/j.scitotenv.2024.170166
6799. Exploring the Sensitivity of Arctic Winter Climate to Aerosol Loading as Simulated in CMIP6 K. Al Hajjar et al. https://doi.org/10.16993/tellusb.1885
6800. Multidimensional analysis of climate-induced streamflow variability using CMIP6 data and advanced modeling techniques P. Hlaing et al. https://doi.org/10.1080/10106049.2025.2504362
6801. Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study M. Cai et al. https://doi.org/10.1016/j.envpol.2021.117602
6802. A comparison of CMIP6 and CMIP5 projections for precipitation to observational data: the case of Northeastern Iran Y. Zamani et al. https://doi.org/10.1007/s00704-020-03406-x
6803. A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation J. Schmidt et al. https://doi.org/10.1038/s41612-025-01157-y
6804. CMIP7 data request: land and land ice priorities and opportunities Y. Li et al. https://doi.org/10.5194/gmd-19-3129-2026
6805. The exposure threat of wet heat extremes is substantially increasing to the 65+ elderly population in Asia H. Gao et al. https://doi.org/10.1088/1748-9326/ae0958
6806. Current Trends and Future Scenarios: Modeling Maximum River Discharge in the Zhaiyk–Caspian Basin (Kazakhstan) Under a Changing Climate S. Alimkulov et al. https://doi.org/10.3390/hydrology12110278
6807. Emergent constraints for the climate system as effective parameters of bulk differential equations C. Huntingford et al. https://doi.org/10.5194/esd-14-433-2023
6808. A Novel Statistical Framework for Assessing Future Drought Using Multiple Global Climate Model: The Weighted Multimodal Adaptive Standardized Precipitation Index R. Fatima & Z. Ali https://doi.org/10.1007/s00024-025-03768-1
6809. P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0 X. Huang et al. https://doi.org/10.5194/gmd-9-4209-2016
6810. Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. https://doi.org/10.3390/hydrology11090132
6811. A global hourly ISIMIP3 climate forcing dataset for impact modeling M. Bechtold et al. https://doi.org/10.5194/essd-18-6637-2026
6812. Impacts of Climate Change and Land Use/Cover Change on Runoff in the Huangfuchuan River Basin X. Huang & L. Qiu https://doi.org/10.3390/land13122048
6813. Unraveling weak and short South Asian wet season in the Early Eocene warmth S. Abhik et al. https://doi.org/10.1038/s43247-024-01289-8
6814. Constrained Projection of the Frequency of Compound Hot and Dry Events across Global Land Areas X. Liu et al. https://doi.org/10.1007/s13351-026-5166-x
6815. PARASO, a circum-Antarctic fully coupled ice-sheet–ocean–sea-ice–atmosphere–land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5 C. Pelletier et al. https://doi.org/10.5194/gmd-15-553-2022
6816. Climate Sensitivity and Feedback of a New Coupled Model (K-ACE) to Idealized CO2 Forcing M. Sun et al. https://doi.org/10.3390/atmos11111218
6817. CMIP6 precipitation and temperature projections for Chile Á. Salazar et al. https://doi.org/10.1007/s00382-023-07034-9
6818. Population exposed to compound extreme hot & humid and wet & windy events in Africa A. Tamoffo et al. https://doi.org/10.1088/1748-9326/ad9d5f
6819. Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models Z. Sun et al. https://doi.org/10.1175/JAMC-D-22-0022.1
6820. Horizon scanning of potential invasive alien plant species and their distribution in Norway under a changing climate K. Ivison et al. https://doi.org/10.1002/ecog.07604
6821. Recalibration of missing low-frequency variability and trends in the North Atlantic Oscillation R. Eade et al. https://doi.org/10.1007/s00382-024-07311-1
6822. Potential Distribution of Tribe Erythroneurini in China Based on the R-Optimized MaxEnt Model, with Implications for Management X. Yuan et al. https://doi.org/10.3390/insects16050450
6823. Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies H. Lee et al. https://doi.org/10.5194/gmd-11-4435-2018
6824. Ionization of the Polar Atmosphere by Energetic Electron Precipitation Retrieved From Balloon Measurements I. Mironova et al. https://doi.org/10.1029/2018GL079421
6825. A modeling study of global distribution and formation pathways of highly oxygenated organic molecules (HOMs) from monoterpenes X. Shao et al. https://doi.org/10.5194/acp-26-6427-2026
6826. An effective deep learning model for the Pacific decadal oscillation prediction W. Liu et al. https://doi.org/10.1088/2515-7620/ae7b04
6827. Using Multi-Source Data to Assess the Hydrologic Alteration and Extremes under a Changing Environment in the Yalong River Basin Y. He et al. https://doi.org/10.3390/w15071357
6828. Future changes in extreme precipitation in central Asia with 1.5–4°C global warming based on Coupled Model Intercomparison Project Phase 6 simulations J. Zhang & F. Wang https://doi.org/10.1002/joc.7740
6829. Near-term streamed climate information from kilometre-scale global climate models for the wind energy sector A. Lacima-Nadolnik et al. https://doi.org/10.1016/j.egycc.2026.100272
6830. Impacts of climate change on pavement performance: A review of stressors, modeling, and adaptation strategies C. Xiong et al. https://doi.org/10.1016/j.ress.2026.113498
6831. Contrasting high-latitude mixed layer depth trends in Earth System Models and data products and their impact on temporal pCO2 variability C. Danek & J. Hauck https://doi.org/10.1007/s00382-026-08109-z
6832. Projection of the Future Changes in Tropical Cyclone Activity Affecting East Asia over the Western North Pacific Based on Multi-RegCM4 Simulations J. Wu et al. https://doi.org/10.1007/s00376-021-0286-9
6833. The future ozone trends in changing climate simulated with SOCOLv4 A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-23-4801-2023
6834. Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model S. Koseki et al. https://doi.org/10.5194/bg-21-4149-2024
6835. Assessment of the impact of climate change on streamflow of Ganjiang River catchment via LSTM-based models C. Deng et al. https://doi.org/10.1016/j.ejrh.2024.101716
6836. An Analysis of Runoff Variation in a Small Basin in the Loess Plateau: Identifying the Variation Causes and Implications for Sustainable Water Management W. Li et al. https://doi.org/10.3390/su15129651
6837. New Generation of Climate Models Track Recent Unprecedented Changes in Earth's Radiation Budget Observed by CERES N. Loeb et al. https://doi.org/10.1029/2019GL086705
6838. Modeling and Mapping Habitat Suitability of Highland Bamboo under Climate Change in Ethiopia D. Yebeyen et al. https://doi.org/10.3390/f13060859
6839. A targeted study to determine the conservation status of a Data Deficient montane lizard, the Eungella shadeskink (Saproscincus eungellensis) N. Scott et al. https://doi.org/10.1071/PC24050
6840. Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. https://doi.org/10.1029/2022GL099793
6841. The Physical Climate at Global Warming Thresholds as Seen in the U.K. Earth System Model https://doi.org/10.1175/JCLI-D-21-0234.1
6842. Evaluation of East Asian Meiyu from CMIP6/AMIP simulations M. Tong et al. https://doi.org/10.1007/s00382-022-06218-z
6843. Extreme climatic events to intensify over the Lake Victoria Basin under global warming O. Ogega et al. https://doi.org/10.1038/s41598-023-36756-3
6844. Strengthening impact of Indian Ocean Basin Mode on ENSO under greenhouse warming X. Zhao et al. https://doi.org/10.1016/j.gloplacha.2026.105688
6845. A Comparative Study on the Skill of CMIP6 Models to Preserve Daily Spatial Patterns of Monsoon Rainfall Over India A. Mitra https://doi.org/10.3389/fclim.2021.654763
6846. Climate change induced complex shifts in snake distributions expose people to snakebite and threaten biodiversity A. Pintor et al. https://doi.org/10.1371/journal.pntd.0014030
6847. Chronic kidney disease burden attributable to heat waves amid climate change and related hospital accessibility: a health impact assessment study based on two nationally representative surveys in China W. Wang et al. https://doi.org/10.1186/s12916-026-05067-5
6848. Footprints of Atlantic Multidecadal Oscillation in the Low-Frequency Variation of Extreme High Temperature in the Northern Hemisphere M. Gao et al. https://doi.org/10.1175/JCLI-D-18-0446.1
6849. Les principaux enseignements du 6 e rapport du groupe I du GIEC D. Salas y Mélia https://doi.org/10.3917/re1.106.0011
6850. Reducing uncertainties of climate projections on solar energy resources in Brazil F. de Lima et al. https://doi.org/10.1038/s41598-024-73769-y
6851. 人为气候变化下外源热浪加剧中国热风险 港. 王 et al. https://doi.org/10.1360/N072025-0160
6852. A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package Y. Robin et al. https://doi.org/10.5194/gmd-19-2349-2026
6853. Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere Y. Zhang et al. https://doi.org/10.1038/s41558-022-01374-w
6854. Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models V. Arora et al. https://doi.org/10.5194/bg-17-4173-2020
6855. Estimation of maximum seasonal tropical cyclone damage in the Atlantic using climate models S. Lavender et al. https://doi.org/10.1007/s11069-021-04977-2
6856. Contrary effects of soil moisture-atmosphere feedback on dry and humid heatwaves S. Chen et al. https://doi.org/10.1038/s41467-026-70210-y
6857. Long-term evolution of ocean eddy activity in a warming world N. Beech et al. https://doi.org/10.1038/s41558-022-01478-3
6858. Current and projected patterns of warming and marine heatwaves in the Southern Indian Ocean C. Azarian et al. https://doi.org/10.1016/j.pocean.2023.103036
6859. Projecting climate-driven shifts in Seriola quinqueradiata habitat suitability in Korean waters using ensemble species distribution models D. Sohn et al. https://doi.org/10.3354/meps15225
6860. Subpolar North Atlantic sea surface salinity as an AMOC mean state indicator J. Dai et al. https://doi.org/10.1038/s41612-025-01190-x
6861. AquaCrop–DNDC Modeling of Rice Yield and Greenhouse Gas Emissions Under Alternate Wetting–Drying and Climate Change in Coastal Peru A. Tapia-Nicodemus et al. https://doi.org/10.3390/agronomy16191895
6862. The Effect of Convective Injection of Ice on Stratospheric Water Vapor in a Changing Climate J. Smith et al. https://doi.org/10.1029/2021GL097386
6863. Projected changes in seasonal precipitation extremes over the United States in CMIP6 simulations A. Akinsanola et al. https://doi.org/10.1088/1748-9326/abb397
6864. Hydrological Sustainability of Dam-Based Water Resources in a Mediterranean Basin Undergoing Climate Change N. Montaldo et al. https://doi.org/10.3390/hydrology11120200
6865. On the Effect of Historical SST Patterns on Radiative Feedback T. Andrews et al. https://doi.org/10.1029/2022JD036675
6866. Changes in Sahel summer rainfall in a global warming climate: contrasting the mid-Pliocene and future regional hydrological cycles Z. Han et al. https://doi.org/10.1007/s00382-022-06630-5
6867. Evaluation of CMIP6-based climate projections in Northern Morocco: A bias corrected assessment of temperature and precipitation trends in three mediterranean watersheds Y. Hamdouni et al. https://doi.org/10.1016/j.envc.2026.101430
6868. Reconciling opposite trends in the observed and simulated equatorial Pacific zonal sea surface temperature gradient W. Bai et al. https://doi.org/10.1186/s40562-023-00309-3
6869. Evaluating the impacts of climate change on soil loss using the CMIP6 model and RUSLE in the Muger watershed, Ethiopia K. Tullu & B. Tumsa https://doi.org/10.1007/s12145-024-01536-8
6870. Spatiotemporal dynamics and future projections of aridity in a semi-arid region based on multi-model CMIP6 scenarios H. Jalal et al. https://doi.org/10.1007/s00704-025-05977-z
6871. A Predictive Model of Chlorophyll a in Western Lake Erie Based on Artificial Neural Network Q. Wang & S. Wang https://doi.org/10.3390/app11146529
6872. Producing actionable climate change information for regions: the distillation paradigm and the 3R framework F. Giorgi https://doi.org/10.1140/epjp/s13360-020-00453-1
6873. The potential for structural errors in emergent constraints B. Sanderson et al. https://doi.org/10.5194/esd-12-899-2021
6874. Different Enhancement of the East Asian Summer Monsoon under Global Warming and Interglacial Epochs Simulated by CMIP6 Models: Role of the Subtropical High C. He & W. Zhou https://doi.org/10.1175/JCLI-D-20-0304.1
6875. Potential altitude change of oriental spruce in Türkiye due to global climate change I. Zeren Cetin et al. https://doi.org/10.1007/s11600-025-01699-y
6876. Future changes in Antarctic coastal polynyas and bottom water formation simulated by a high-resolution coupled model H. Jeong et al. https://doi.org/10.1038/s43247-023-01156-y
6877. Strategies for resilient climate in smart cities mediated by Nash equilibrium and autonomous decision-makers C. Latha & M. Alvarado-Mentado https://doi.org/10.1016/j.jenvman.2026.130285
6878. Multiple regional climate model projections to assess building thermal performance in Brazil: Understanding the uncertainty M. Bracht et al. https://doi.org/10.1016/j.jobe.2024.109248
6879. Evaluating the Historical Performance and Future Change in Extreme Precipitation Indices over the Missouri River Basin Based on NA-CORDEX Multimodel Ensemble I. Achugbu et al. https://doi.org/10.3390/atmos16050579
6880. Anthropogenic emissions and land use/cover change contributions to extreme temperature changes over China W. Xu et al. https://doi.org/10.1016/j.atmosres.2023.106845
6881. Impact of climate change on irrigation water requirements for coffee plants in the fruit development stage: a case study of Dak Lak and Gia Lai provinces in the Central Highlands of Vietnam L. Tran https://doi.org/10.2166/ws.2023.330
6882. 气候变化下陆地产氧量变化 磊. 丁 et al. https://doi.org/10.1360/N072021-0315
6883. Projection of Thermal Bioclimate of Egypt for the Paris Agreement Goals M. Hamed et al. https://doi.org/10.3390/su142013259
6884. Grid-based optimization for irrigation and water quality synergies Y. Chen et al. https://doi.org/10.1016/j.jhydrol.2026.136460
6885. Future trends in the vertical structure of Arctic warming and moistening in different emission scenarios H. Nie et al. https://doi.org/10.1016/j.atmosres.2024.107271
6886. Ocean surface current multiscale observation mission (OSCOM): Simultaneous measurement of ocean surface current, vector wind, and temperature Y. Du et al. https://doi.org/10.1016/j.pocean.2021.102531
6887. Ocean dynamics amplify remote warming effects of reforestation P. Banville et al. https://doi.org/10.5194/esd-17-1315-2026
6888. Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model S. Tafasca et al. https://doi.org/10.5194/hess-24-3753-2020
6889. Projected impact of solar radiation modification geoengineering on water deficit risk over major Central African river basins T. Fotso-Nguemo et al. https://doi.org/10.1088/1748-9326/ad657d
6890. Défis environnementaux émergents S. Mondon https://doi.org/10.3917/pstrat.008.0027
6891. Projected changes in seasonal and extreme summertime temperature and precipitation in India in response to COVID-19 recovery emissions scenarios J. D’Souza et al. https://doi.org/10.1088/1748-9326/ac2f1b
6892. Climate models show colorado drying sooner and with greater certainty east of the continental divide A. Rugg et al. https://doi.org/10.1088/2515-7620/ae05f6
6893. Statistical Aspects of Quantitative Estimation of Polar Amplification. Part 1: The Ratio of Trends R. Bekryaev https://doi.org/10.3103/S1068373922060012
6894. Response of tropical cyclones to global warming: Super Typhoon Usagi in the Western Pacific Ocean Q. Sun et al. https://doi.org/10.1016/j.atmosres.2025.108495
6895. Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. https://doi.org/10.1038/s41467-023-37847-5
6896. Arctic Climate Threat Indicator Set for Municipal Decision-Making J. Tafrate & K. Nyland https://doi.org/10.1016/j.cliser.2025.100610
6897. The Response of Northern Hemisphere Polar Lows to Climate Change in a 25 km High‐Resolution Global Climate Model H. Bresson et al. https://doi.org/10.1029/2021JD035610
6898. Future changes of global Annual and Seasonal Wind-Energy Production in CMIP6 projections considering air density variation G. Esnaola et al. https://doi.org/10.1016/j.energy.2024.132706
6899. A structural correction to atmospheric evaporative demand narrows the gap between offline aridity diagnostics and Earth system model projections D. Kim & M. Choi https://doi.org/10.1038/s41612-025-01306-3
6900. Evaluating Changes in the Multiyear Predictability of the Pacific Decadal Oscillation Using Model Analogs since 1900 Y. Wu & X. Yan https://doi.org/10.3390/jmse11050980
6901. Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations M. Ahn et al. https://doi.org/10.1038/s41612-024-00685-3
6902. Distinctive changes of Asian–African summer monsoon in interglacial epochs and global warming scenario Y. Wang et al. https://doi.org/10.1007/s00382-023-07013-0
6903. The Contributions of Deep and Shallow Convection to Tropical Precipitation Interannual Variability and Its Changes under Global Warming J. Tang et al. https://doi.org/10.1007/s00376-026-5580-0
6904. Integrating glacio-hydrological and power grid models to assess the climate-resiliency of high mountain hydropower in Nepal K. Gyanwali et al. https://doi.org/10.1016/j.rser.2023.113433
6905. Temperature effects on carbon storage are controlled by soil stabilisation capacities I. Hartley et al. https://doi.org/10.1038/s41467-021-27101-1
6906. Design flood projections for ungauged catchments using updated unit hydrographs under climate change scenarios A. Goel & V. Srinivas https://doi.org/10.1007/s00477-025-02994-2
6907. An Introduction to the Synthesis Community Integrated Model Version 2 (SYCIM2.0) and Its Simulation of the East Asian Summer Monsoon W. Liang et al. https://doi.org/10.1007/s00376-024-4178-7
6908. Neglecting future sporadic volcanic eruptions underestimates climate uncertainty M. Chim et al. https://doi.org/10.1038/s43247-025-02208-1
6909. Global Investigation of Soil Moisture and Latent Heat Flux Coupling Strength F. Lei et al. https://doi.org/10.1029/2018WR023469
6910. Climate Trends and Future Scenarios in Afghanistan: Implications for Greenhouse Gas Emissions, Renewable Energy Potential, and Sustainable Development N. Akhundzadah https://doi.org/10.3390/en19041067
6911. Global, Arctic, and Antarctic sea ice volume predictions using score-driven threshold climate models S. Blazsek et al. https://doi.org/10.1016/j.eneco.2024.107591
6912. Vegetation responses to air dryness amplify future land surface warming J. Green et al. https://doi.org/10.1038/s41467-026-73063-7
6913. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui https://doi.org/10.5194/gmd-15-951-2022
6914. Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions J. Ran et al. https://doi.org/10.1016/j.applthermaleng.2024.122338
6915. Scenario Forecasts of the Climate Change in Belarus Based on Regionally Adapted Ensembles of CMIP6 Climate Models S. Lysenko https://doi.org/10.3103/S1068373925070052
6916. An interdisciplinary model chain quantifies the footprint of global change on reservoir sedimentation K. Mouris et al. https://doi.org/10.1038/s41598-023-47501-1
6917. Simulation of Northern Winter Stratospheric Polar Vortex Regimes in CESM2-WACCM D. Guo et al. https://doi.org/10.3390/atmos14020243
6918. Assessing Climate Change Impacts on Groundwater Recharge and Storage Using MODFLOW in the Akhangaran River Alluvial Aquifer, Eastern Uzbekistan A. Kadirkhodjaev et al. https://doi.org/10.3390/w17152291
6919. MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6 B. Stevens et al. https://doi.org/10.5194/gmd-10-433-2017
6920. High temporal variability not trend dominates Mediterranean precipitation S. Vicente-Serrano et al. https://doi.org/10.1038/s41586-024-08576-6
6921. Future Retreat of Great Aletsch Glacier and Hintereisferner – application of a full-Stokes model to two valley glaciers in the European Alps M. Rückamp et al. https://doi.org/10.5194/tc-20-2999-2026
6922. Assessing the Future of Droughts Using Relative Standardized Indices: Insights from the Nakanbé River Basin, West Africa T. Fowé et al. https://doi.org/10.1007/s41748-026-01057-y
6923. Evaluation of Summer Non‐Uniform Multidecadal Temperature Variations Over Eurasia in CMIP6 Models Y. Hu & W. Hua https://doi.org/10.1029/2023JD039267
6924. Predicted Global Redistribution of Lagria nigricollis (Coleoptera: Tenebrionidae) Under Future Climate Change M. Zhao et al. https://doi.org/10.3390/insects16121227
6925. The observed September 2023 temperature jump was nearly impossible under standard anthropogenic forcing S. Seeber et al. https://doi.org/10.1038/s43247-026-03178-8
6926. Representation of moist convective processes in Coupled Model Intercomparison Project Phase 5 and Phase 6 models for the simulation of Indian summer monsoon intraseasonal variability S. Tirkey et al. https://doi.org/10.1002/joc.7765
6927. Global land footprint of UK food and feed imports under future socioeconomic scenarios B. Arendarczyk et al. https://doi.org/10.1371/journal.pone.0352499
6928. Comparison of the Heights of Sporadic E Layers and Vertical Ion Convergence Parameters Y. Yu et al. https://doi.org/10.3390/rs15245674
6929. The Labrador Sea as a conduit for AMOC lower-limb transport anomalies on multiple timescales J. Chen & M. Lozier https://doi.org/10.1038/s41467-026-77271-z
6930. Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature M. Rugenstein & M. Hakuba https://doi.org/10.1029/2022GL101802
6931. European projections of West Nile virus transmission under climate change scenarios Z. Farooq et al. https://doi.org/10.1016/j.onehlt.2023.100509
6932. The changing role of dust and open fires PM2.5 on Africa’s air quality and human health A. Aboagye-Okyere et al. https://doi.org/10.1088/1748-9326/adf07e
6933. Climate Change Impact on Photovoltaic Production From the Perspective of Climate Models: a Systematic Review N. Araújo et al. https://doi.org/10.24857/rgsa.v18n10-257
6934. A multi-model assessment of global freshwater temperature and thermoelectric power supply under climate change E. Jones et al. https://doi.org/10.1088/3033-4942/addffa
6935. Spatio-temporal variations of dryness/wetness over Northwest China under different SSPs-RCPs J. Qin et al. https://doi.org/10.1016/j.atmosres.2021.105672
6936. Estimating unprecedented extremes in UK summer daily rainfall C. Kent et al. https://doi.org/10.1088/1748-9326/ac42fb
6937. Future drought projections with CMIP6 in Eğirdir Lake basin (Türkiye) E. Şener & A. Davraz https://doi.org/10.1007/s11069-025-07573-w
6938. Attribution of the human influence on heavy rainfall associated with flooding events during the 2012, 2016, and 2018 March-April-May seasons in Kenya J. Kimutai et al. https://doi.org/10.1016/j.wace.2022.100529
6939. Northern Hemisphere winter atmospheric teleconnections are intensified by extratropical ocean-atmosphere coupling M. Mori et al. https://doi.org/10.1038/s43247-024-01282-1
6940. Assessing the impact of climate change on groundwater recharge in the Lower Campaspe River Basin R. Adhikari et al. https://doi.org/10.2166/wcc.2026.304
6941. Evaluation of simulated responses to climate forcings: a flexible statistical framework using confirmatory factor analysis and structural equation modelling – Part 1: Theory K. Lashgari et al. https://doi.org/10.5194/ascmo-8-225-2022
6942. The MJO-QBO Relationship in a GCM with Stratospheric Nudging Z. Martin et al. https://doi.org/10.1175/JCLI-D-20-0636.1
6943. Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption D. Wade et al. https://doi.org/10.1073/pnas.1919807117
6944. Potential heat-risk avoidance from nationally determined emission reductions targets in the future F. Wang et al. https://doi.org/10.1088/1748-9326/ac66f4
6945. Can Septic-System Management Practices Outweigh Climatic and Anthropogenic Drivers of Phosphorus-induced Lake Eutrophication? C. Oniga et al. https://doi.org/10.1016/j.jes.2026.105565
6946. Optimizing wheat production under climate change in Jiangsu Province, China: A multi-scenario socio-economic assessment J. Chauhdary et al. https://doi.org/10.1016/j.agwat.2026.110553
6947. Future constraints and trends of the air-sea CO2 flux in the South-East Pacific region: a CMIP6 evaluation A. Bahamondes Domínguez et al. https://doi.org/10.3389/fmars.2026.1755225
6948. A New Graphical Method to Diagnose the Impacts of Model Changes on Climate Sensitivity S. JAIN et al. https://doi.org/10.2151/jmsj.2021-021
6949. Significant contribution of internal variability to recent Barents–Kara sea ice loss in winter P. Siew et al. https://doi.org/10.1038/s43247-024-01582-6
6950. Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date D. Xiao et al. https://doi.org/10.1007/s11027-022-09995-4
6951. Ensemble Numerical Experiments with Earth System Models A. Eliseev https://doi.org/10.1007/s11141-026-10472-0
6952. Robust impact of tropical Pacific SST trends on global and regional circulation in boreal winter J. Kang et al. https://doi.org/10.1038/s41612-025-01192-9
6953. Beyond Stationarity: The FARO Framework for Quantifying Adaptive Operational Risk in Marine Spatial Planning J. Paulo & T. Santos https://doi.org/10.3390/su172310779
6954. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. https://doi.org/10.1016/j.accre.2021.07.007
6955. Forced changes in a Tibetan lake ecosystem over the past millennium W. Kang et al. https://doi.org/10.1038/s41467-026-74760-z
6956. Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates E. Chung et al. https://doi.org/10.1038/s43247-024-01510-8
6957. Beyond the recharge/discharge paradigm: Pacific meridional mode acts as a critical driver for multi-year La Niña events L. Shi et al. https://doi.org/10.1088/1748-9326/ae3dfe
6958. Connection of spring Middle East climate variability to western Pacific convection in climate models: bias evaluation and future projection M. Xia et al. https://doi.org/10.1007/s00382-025-07946-8
6959. Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model Y. Wang et al. https://doi.org/10.3389/fclim.2022.918572
6960. CAS-ESM2.0 Dataset for the G1ext Experiment of the Geoengineering Model Intercomparison Project (GeoMIP) M. Cui et al. https://doi.org/10.1007/s00376-024-4177-8
6961. The projected future degradation in air quality is caused by more abundant natural aerosols in a warmer world J. Gomez et al. https://doi.org/10.1038/s43247-023-00688-7
6962. The first ice-free day in the Arctic Ocean could occur before 2030 C. Heuzé & A. Jahn https://doi.org/10.1038/s41467-024-54508-3
6963. Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
6964. Enhanced Climate Response to Ozone Depletion From Ozone‐Circulation Coupling P. Lin & Y. Ming https://doi.org/10.1029/2020JD034286
6965. Climate stress impacts on livestock health: Implications for farming livelihoods and animal disease in Karnataka, India A. Eskdale et al. https://doi.org/10.1079/cabionehealth.2022.0009
6966. Assessment of thermocline depth bias in the Seychelles-Chagos Thermocline Ridge of the Southwestern Indian Ocean simulated by the CMIP6 models S. Mubarrok et al. https://doi.org/10.3389/fmars.2023.1239885
6967. Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere J. Luo et al. https://doi.org/10.1016/j.accre.2024.03.001
6968. The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500 M. Meinshausen et al. https://doi.org/10.5194/gmd-13-3571-2020
6969. Local biophysical climate feedback from vegetation responses to lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41612-025-01310-7
6970. Enhanced impact of future temperature on Northern Hemisphere snowfall L. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134194
6971. An updated version of a gap-free monthly mean zonal mean ozone database B. Hassler et al. https://doi.org/10.5194/essd-10-1473-2018
6972. Weakening of decadal variation of Northern Hemisphere land monsoon rainfall under global warming Y. Jiang et al. https://doi.org/10.1038/s41612-023-00441-z
6973. Rainfall Extreme Indicators Trend and Meteorological Drought Changes Under Climate Change Scenarios M. Tavosi et al. https://doi.org/10.1007/s11269-024-03871-3
6974. Simulation of the climate and ocean circulations in the Middle Miocene Climate Optimum by a coupled model FGOALS-g3 J. Wei et al. https://doi.org/10.1016/j.palaeo.2023.111509
6975. Air quality improvements are projected to weaken the Atlantic meridional overturning circulation through radiative forcing effects T. Hassan et al. https://doi.org/10.1038/s43247-022-00476-9
6976. Modeling the Present and Future Geographical Distribution Potential of Dipteronia dyeriana, a Critically Endangered Species from China M. Yan et al. https://doi.org/10.3390/d16090545
6977. The impact of carbon neutrality timing on climate extremes in East Asia H. Sung et al. https://doi.org/10.15531/KSCCR.2024.15.5.857
6978. Evolving Southern Ocean overturning in warming climates T. Zhu & W. Liu https://doi.org/10.1038/s41467-025-65389-5
6979. Future Changes in the Global and Regional Sea Level Rise and Sea Surface Temperature Based on CMIP6 Models H. Sung et al. https://doi.org/10.3390/atmos12010090
6980. Future Changes of PNA-like MJO Teleconnections in CMIP6 Models: Underlying Mechanisms and Uncertainty J. Wang et al. https://doi.org/10.1175/JCLI-D-21-0445.1
6981. Assessing future drought evolution and driving mechanisms in the Weigan River Basin under CMIP6 climate scenarios W. Wenbo et al. https://doi.org/10.1016/j.jaridl.2026.02.003
6982. Future increase of filamentous cyanobacteria in coastal Baltic Sea predicted by multiple realm models of marine, terrestrial, and climate change scenarios M. Abdelgadir et al. https://doi.org/10.1016/j.ecoinf.2025.103439
6983. Joint impacts of winter North Pacific Oscillation and early spring Aleutian Low intensity on the following winter ENSO S. Chen et al. https://doi.org/10.1007/s00382-023-06922-4
6984. Uncertainty in Simulating Twentieth Century West African Precipitation Trends: The Role of Anthropogenic Aerosol Emissions P. Monerie et al. https://doi.org/10.1029/2022EF002995
6985. Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation Y. Cheng et al. https://doi.org/10.1002/env.70101
6986. Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities S. Wang et al. https://doi.org/10.1016/j.scs.2022.103889
6987. Bridging CORDEX and CMIP6: machine learning downscaling for wind and solar energy droughts in central Europe N. Effenberger et al. https://doi.org/10.1088/3049-4753/aea998
6988. Arctic soil carbon insulation averts large spring cooling from surface–atmosphere feedbacks R. Gaillard et al. https://doi.org/10.1073/pnas.2410226122
6989. Global climate response to idealized deforestation in CMIP6 models L. Boysen et al. https://doi.org/10.5194/bg-17-5615-2020
6990. Hydrological drivers of hydrogen cyanide wildfire emissions from Indonesian peat fires during the 2015, 2019, and 2023 El Niño events A. Bruno et al. https://doi.org/10.5194/acp-26-12925-2026
6991. The impacts of climate change on meteorological drought in the Central Highlands region of Vietnam T. Quoc Lap https://doi.org/10.2166/hydro.2024.182
6992. An Assessment of Climate Feedbacks in Observations and Climate Models Using Different Energy Balance Frameworks L. Chao & A. Dessler https://doi.org/10.1175/JCLI-D-21-0226.1
6993. A Simple Coupled Model of the Wind–Evaporation–SST Feedback with a Role for Stability K. Karnauskas https://doi.org/10.1175/JCLI-D-20-0895.1
6994. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. https://doi.org/10.1029/2021WR031817
6995. Global temperature shocks and real exchange rates S. Lee et al. https://doi.org/10.1016/j.jclimf.2022.100004
6996. Assessing temporal and spatial generalization of LSTMs for streamflow modeling in French watersheds with and without European training data M. Puche et al. https://doi.org/10.1016/j.ejrh.2025.103022
6997. Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence M. Amos et al. https://doi.org/10.5194/acp-20-9961-2020
6998. Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI-1 simulations O. Morgenstern et al. https://doi.org/10.5194/acp-18-1091-2018
6999. Integrating deep learning, drought indices, and CMIP6 climate scenarios for future drought prediction across Iran S. Lotfi et al. https://doi.org/10.1016/j.rineng.2026.113121
7000. Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al. https://doi.org/10.5194/gmd-18-2861-2025
7001. Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl C. Teitelbaum et al. https://doi.org/10.1371/journal.pcbi.1013451
7002. Too cold, too saturated? Evaluating climate models at the gateway to the Arctic F. Pithan et al. https://doi.org/10.5194/acp-25-3269-2025
7003. Optimized afforestation reduces flood risk and limits water loss in Europe S. El Garroussi et al. https://doi.org/10.1038/s44458-026-00057-3
7004. Projection of temperature and precipitation under SSPs-RCPs Scenarios over northwest China J. Qin et al. https://doi.org/10.1007/s11707-020-0847-8
7005. Investigating future climate change impacts on streamflow and drought characterization in the Arno River basin, Tuscany, Italy, using CMIP6 and SWAT+ modelling H. Talpur et al. https://doi.org/10.1016/j.watcyc.2026.03.006
7006. Future Projections of Sea Surface Temperature (SST) in the MDR and Wider Caribbean Region: Utilising CMIP6 GCM Ensembles K. Hibbert et al. https://doi.org/10.1002/joc.70206
7007. Evaluating historical climate extremes in the FGOALS-g3 large ensemble in the presence of internal climate variability W. Zhang et al. https://doi.org/10.1007/s00382-023-06842-3
7008. Long run emulator calibration increases warming and sea-level rise projections C. Wells et al. https://doi.org/10.1088/1748-9326/ae3847
7009. Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century G. Zhang et al. https://doi.org/10.1029/2022EF002652
7010. Dansgaard–Oeschger events in climate models: review and baseline Marine Isotope Stage 3 (MIS3) protocol I. Malmierca-Vallet & L. Sime https://doi.org/10.5194/cp-19-915-2023
7011. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
7012. A simple approach to evaluate future urban water demand under changing climate, population, and local policies in data-scarce regions M. Achkar et al. https://doi.org/10.2166/wcc.2026.441
7013. Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100 Y. Quilcaille et al. https://doi.org/10.5194/essd-15-2153-2023
7014. Observed and CMIP6-model-simulated organic aerosol response to drought in the contiguous United States during summertime W. Li & Y. Wang https://doi.org/10.5194/acp-24-9339-2024
7015. Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model C. Delgado‐Torres et al. https://doi.org/10.1029/2022JD036673
7016. Crabs of the Barents Sea under Climate Change S. Bakanev https://doi.org/10.1134/S0001437025700742
7017. Arctic Amplification of Precipitation Changes—The Energy Hypothesis F. Pithan & T. Jung https://doi.org/10.1029/2021GL094977
7018. Performance of CMIP5 and CMIP6 models in reproducing the Interdecadal Pacific Oscillation and its global impacts Z. Qin et al. https://doi.org/10.1002/joc.8548
7019. Climate response to introduction of the ESA CCI land cover data to the NCAR CESM S. Liu et al. https://doi.org/10.1007/s00382-021-05690-3
7020. Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model D. Kramel et al. https://doi.org/10.1021/acs.est.1c03937
7021. The effect of green infrastructure on resilience performance in combined sewer systems under climate change M. Rodriguez et al. https://doi.org/10.1016/j.jenvman.2024.120229
7022. Potential impact of tropopause sharpness on the structure and strength of the general circulation L. Boljka & T. Birner https://doi.org/10.1038/s41612-022-00319-6
7023. A New Halocarbon Absorption Model Based on HITRAN Cross‐Section Data and New Estimates of Halocarbon Instantaneous Clear‐Sky Radiative Forcing S. Buehler et al. https://doi.org/10.1029/2022MS003239
7024. Projections of future climate for U.S. national assessments: past, present, future S. Basile et al. https://doi.org/10.1007/s10584-025-03888-6
7025. Predicting habitat suitability of selected Meloidae species and future potential refugia: A case study from inner Western Anatolia M. Demir & M. Kabalak https://doi.org/10.1111/icad.70092
7026. Geographic redistribution of microcystin hotspots in response to climate warming J. Merder et al. https://doi.org/10.1038/s44221-023-00138-w
7027. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles M. Zumwald et al. https://doi.org/10.1002/wcc.654
7028. Adjustments to an abrupt solar forcing in the CMIP6 abrupt-solm4p experiment C. Lange & J. Quaas https://doi.org/10.5194/acp-25-10337-2025
7029. Marine heatwaves in the Western North Pacific Region: Historical characteristics and future projections W. Sun et al. https://doi.org/10.1016/j.dsr.2023.104161
7030. Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. https://doi.org/10.5194/esd-11-139-2020
7031. Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change V. Kartal https://doi.org/10.1002/hyp.15204
7032. To what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China? Z. Jin et al. https://doi.org/10.3389/feart.2022.1003748
7033. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. https://doi.org/10.5194/acp-19-2965-2019
7034. Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble L. Mudryk et al. https://doi.org/10.5194/tc-14-2495-2020
7035. A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data A. Wu et al. https://doi.org/10.1080/20964471.2021.1981197
7036. Robust detection of forced warming in the presence of potentially large climate variability S. Sippel et al. https://doi.org/10.1126/sciadv.abh4429
7037. Uncertainties in projections of climate extremes indices in South America via Bayesian inference C. Gouveia et al. https://doi.org/10.1002/joc.7650
7038. Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models G. Chen et al. https://doi.org/10.1029/2021JD036422
7039. A Holistic View of Climate Sensitivity N. Jeevanjee et al. https://doi.org/10.1146/annurev-earth-040523-014302
7040. Evaluation of Soil Moisture in CMIP6 Simulations L. Qiao et al. https://doi.org/10.1175/JCLI-D-20-0827.1
7041. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. https://doi.org/10.3390/atmos14061015
7042. Rising cause-specific mortality risk and burden of compound heatwaves amid climate change J. Liu et al. https://doi.org/10.1038/s41558-024-02137-5
7043. The offshore wind speed changes in China: an insight into CMIP6 model simulation and future projections K. Deng et al. https://doi.org/10.1007/s00382-023-07066-1
7044. Predicting the potential habitat of bears under a changing climate in Nepal R. Baral et al. https://doi.org/10.1007/s10661-024-13253-2
7045. Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. https://doi.org/10.1016/j.jhydrol.2023.129137
7046. GCMeval – An interactive tool for evaluation and selection of climate model ensembles K. Parding et al. https://doi.org/10.1016/j.cliser.2020.100167
7047. An Evaluation of CMIP6 Models in Representing the Biophysical Effects of Deforestation With Satellite‐Based Observations X. Luo et al. https://doi.org/10.1029/2022JD038198
7048. Origins of Multidecadal SST Variations in the Southern Atlantic and Indian Oceans Since the 1960s X. Gao et al. https://doi.org/10.1029/2022GL101735
7049. Seasonal Variation of Wet Deposition of Black Carbon in Arctic Alaska T. Mori et al. https://doi.org/10.1029/2019JD032240
7050. ENSO atmospheric feedbacks under global warming and their relation to mean-state changes T. Bayr & M. Latif https://doi.org/10.1007/s00382-022-06454-3
7051. Sub-seasonal to seasonal drivers of dry extreme rainfall events over Northeast Thailand A. Abatan et al. https://doi.org/10.3389/fclim.2022.1031226
7052. Direct and indirect effects of CO2increase on crop yield in West Africa B. Sultan et al. https://doi.org/10.1002/joc.5960
7053. Climate-vegetation regimes dominate the divergent ecosystem responses to flash droughts in China B. Yuan et al. https://doi.org/10.1016/j.fmre.2026.04.003
7054. Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models W. Li et al. https://doi.org/10.1007/s13351-022-1112-8
7055. Emergence time of CO2-forced European summer climate trends M. St-Pierre et al. https://doi.org/10.1038/s41598-026-44761-5
7056. Hydrological response to future climate change in a mountainous watershed in the Northeast of Tibetan Plateau Z. Chen et al. https://doi.org/10.1016/j.ejrh.2022.101256
7057. Extreme weather events in southern Brazil warn of agricultural collapse R. Nóia-Júnior et al. https://doi.org/10.1016/j.nexres.2025.100217
7058. Upper Danube low flow in the Anthropocene: Simulating impacts and changes from 1870 to 2100 P. Stanzel et al. https://doi.org/10.1016/j.ejrh.2026.103862
7059. Assessing Climate Change Effects on Winter Wheat Production in the 3H Plain: Insights from Bias-Corrected CMIP6 Projections Y. Xu et al. https://doi.org/10.3390/agriculture14030469
7060. An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison M. Zhang et al. https://doi.org/10.5194/gmd-14-3079-2021
7061. Committed and irreversible humid heat stress risk in China despite carbon dioxide removal Q. Ma et al. https://doi.org/10.1038/s43247-026-03624-7
7062. Soil Carbon Losses Reduce Soil Moisture in Global Climate Model Simulations S. McDermid et al. https://doi.org/10.1175/EI-D-22-0003.1
7063. Evaluating the Sensitivity of Growing Degree Days as an Agro-Climatic Indicator of the Climate Change Impact: A Case Study of the Russian Far East E. Grigorieva https://doi.org/10.3390/atmos11040404
7064. Increased water availability and high flows in an ungauged Kenyan catchment: A comprehensive SWAT+ model evaluation for climate change assessment P. Sarmiento et al. https://doi.org/10.1016/j.ejrh.2025.102497
7065. Quantification of human contribution to soil moisture-based terrestrial aridity Y. Wang et al. https://doi.org/10.1038/s41467-022-34071-5
7066. Desert ecosystems in China: Past, present, and future X. Wang et al. https://doi.org/10.1016/j.earscirev.2022.104206
7067. Enhanced seasonal contrast of surface mixed layer depth in the North Indian Ocean under a CO2 removal scenario S. Long et al. https://doi.org/10.1186/s40562-025-00383-9
7068. The climate change perspective of photovoltaic power potential in Brazil C. Zuluaga et al. https://doi.org/10.1016/j.renene.2022.05.029
7069. Future changes in regional inter-monthly precipitation patterns of the East Asian summer monsoon and associated uncertainty factors Y. Kim & S. Min https://doi.org/10.5194/esd-16-1135-2025
7070. Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region C. Mu et al. https://doi.org/10.1038/s41467-025-58716-3
7071. Assessment of winter three-dimensional extreme cold events over the Northern Hemisphere during 1959–2020 based on CMIP6 models X. Wang et al. https://doi.org/10.1007/s00382-025-07831-4
7072. Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles T. Loughran et al. https://doi.org/10.1029/2023JG007605
7073. Brief Communication: Drivers of the recent warming of the Mediterranean Sea, and its implications for hail risk S. Cusack & T. Cox https://doi.org/10.5194/nhess-25-2963-2025
7074. Climate metrics for modelling conditions on pilgrimages in Ethiopia J. Richards & P. Brimblecombe https://doi.org/10.1038/s40494-025-01894-6
7075. Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
7076. Recent southwestern US drought exacerbated by anthropogenic aerosols and tropical ocean warming Y. Kuo et al. https://doi.org/10.1038/s41561-025-01728-x
7077. Quantifying the influence of short-term emission reductions on climate J. Fyfe et al. https://doi.org/10.1126/sciadv.abf7133
7078. The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2 P. Shi et al. https://doi.org/10.5194/gmd-17-3025-2024
7079. The Subsurface and Surface Indian Ocean Dipoles and Their Association with ENSO in CMIP6 models G. Song & R. Ren https://doi.org/10.1007/s00376-022-2086-2
7080. Projected Changes to Wintertime Air‐Sea Turbulent Heat Fluxes Over the Subpolar North Atlantic Ocean C. Barrell et al. https://doi.org/10.1029/2022EF003337
7081. Storylines of South Pacific Convergence Zone Changes in a Warmer World S. Narsey et al. https://doi.org/10.1175/JCLI-D-21-0433.1
7082. Comparison of the risks and drivers of compound hot-dry and hot-wet extremes in a warming world J. Zeng et al. https://doi.org/10.1088/1748-9326/ad7617
7083. The Response of Maximum Freezing Depth in the Permafrost Region of the Source Region of the Yellow River to Ground Temperature Change X. Bai & W. Wang https://doi.org/10.3390/atmos16121399
7084. Should we think of observationally constrained multidecade climate projections as predictions? T. Li et al. https://doi.org/10.1126/sciadv.adt6485
7085. Projection on elevation-dependent and latitude-dependent warming over Antarctica from CMIP6 under different socioeconomic scenarios J. Zhu et al. https://doi.org/10.1016/j.gloplacha.2023.104327
7086. Simulation of Indian summer monsoon rainfall, interannual variability and teleconnections: evaluation of CMIP6 models K. Rajendran et al. https://doi.org/10.1007/s00382-021-06027-w
7087. Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. https://doi.org/10.1029/2020GL089074
7088. The Improvement of the Discrete Wavelet Transform Z. Zhang https://doi.org/10.3390/math11081770
7089. Causes of Differences in the Tropical Pacific SST Warming Pattern Projected by CMIP6 Models J. Ying et al. https://doi.org/10.1007/s00376-024-4278-4
7090. Climate change and irrigation expansion reshape the water pressure and upstream–downstream interactions in the Lancang–Mekong River Basin H. Zhao et al. https://doi.org/10.5194/hess-30-2433-2026
7091. Permafrost sensitivity to soil hydro-thermodynamics in historical and scenario simulations with the MPI-ESM F. García-Pereira et al. https://doi.org/10.5194/tc-19-5959-2025
7092. An assessment of basal melt parameterisations for Antarctic ice shelves C. Burgard et al. https://doi.org/10.5194/tc-16-4931-2022
7093. The southward shift of hurricane genesis over the northern Atlantic Ocean X. Cao et al. https://doi.org/10.1038/s41612-025-00923-2
7094. Anticipating the effects of climate warming and natural habitat conversion on waterbird communities to address protection gaps F. Verniest et al. https://doi.org/10.1016/j.biocon.2023.109939
7095. Estimating runoff and erosion on forest roads under various climate projections in Florida Panhandle region, USA J. Chen et al. https://doi.org/10.1016/j.jenvman.2025.128207
7096. Global climate-driven sea surface temperature and chlorophyll dynamics R. Venegas et al. https://doi.org/10.1016/j.marenvres.2024.106856
7097. Crossbreeding CMIP6 Earth System Models With an Emulator for Regionally Optimized Land Temperature Projections L. Beusch et al. https://doi.org/10.1029/2019GL086812
7098. Climate impacts on global agriculture emerge earlier in new generation of climate and crop models J. Jägermeyr et al. https://doi.org/10.1038/s43016-021-00400-y
7099. Historical sensible-heat-flux variations key to predicting future hydrologic sensitivity J. Norris et al. https://doi.org/10.1038/s41612-024-00676-4
7100. Nonstationary fuzzy forecasting of wind and wave climate in very long-term scales C. Stefanakos & E. Vanem https://doi.org/10.1016/j.joes.2018.04.001
7101. Exploring germination requirements of Iva xanthiifolia: Implications for potential spread in Europe N. Nikolić & R. Masin https://doi.org/10.1016/j.stress.2023.100312
7102. An Assessment of the Temporal Variability in the Annual Cycle of Daily Antarctic Sea Ice in the NCAR Community Earth System Model, Version 2: A Comparison of the Historical Runs With Observations M. Raphael et al. https://doi.org/10.1029/2020JC016459
7103. Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia F. Enyew et al. https://doi.org/10.3390/cli12110169
7104. Predicting the future distributions of Calomicrus apicalis Demaison, 1891 (Coleoptera: Chrysomelidae) under climate change İ. Şen et al. https://doi.org/10.1007/s41348-022-00579-7
7105. Water Security in an Uncertain Future: Contrasting Realities from an Availability-Demand Perspective J. Sone et al. https://doi.org/10.1007/s11269-022-03160-x
7106. Future spatiotemporal inequality of precipitation extreme in monsoon-driven country using Gini coefficient and random forest model Q. Li et al. https://doi.org/10.1007/s00704-025-05616-7
7107. Pitfalls in diagnosing temperature extremes L. Brunner & A. Voigt https://doi.org/10.1038/s41467-024-46349-x
7108. Attributing the Decline of Evapotranspiration over the Asian Monsoon Region during the Period 1950–2014 in CMIP6 Models X. Zhu et al. https://doi.org/10.3390/rs16112027
7109. Decadal Runoff Variability Under Moderate and Extreme Climate Scenarios: A SWAT Modeling Study for a Postglacial Lowland Catchment (NW Poland) M. Majewski et al. https://doi.org/10.3390/w18030419
7110. Large-scale aggregation of humid heatwaves exacerbated by coastal oceanic warming F. Cai et al. https://doi.org/10.1038/s41561-026-01952-z
7111. Evaluation of Soil Moisture in CMIP6 Multimodel Simulations Over Conterminous China A. Wang et al. https://doi.org/10.1029/2022JD037072
7112. Comprehensive assessment of CMIP5 and CMIP6 models in simulating and projecting precipitation over the global land Y. Du et al. https://doi.org/10.1002/joc.7616
7113. High Flux of Small Sulfate Aerosols During the 1970s Reconstructed From the SE‐Dome Ice Core in Greenland Y. Iizuka et al. https://doi.org/10.1029/2022JD036880
7114. Simulated Thermocline Tilt Over the Tropical Indian Ocean and Its Influence on Future Sea Surface Temperature Variability G. Wang et al. https://doi.org/10.1029/2020GL091902
7115. The future of global Ramsar wetlands under intensifying precipitation extremes: Arid regions as emerging hotspots D. Mishra et al. https://doi.org/10.1016/j.eiar.2025.108275
7116. Transport of warm bias from Indian Ocean subsurface to Southern Ocean surface in Coupled Model Intercomparison Project phase 6 models L. Ma et al. https://doi.org/10.1038/s43247-026-03705-7
7117. Global insect herbivory and its response to climate change M. Liu et al. https://doi.org/10.1016/j.cub.2024.04.062
7118. Estimation of non-stationary return levels of extreme temperature by CMIP6 models T. Mohammadi et al. https://doi.org/10.2166/wpt.2024.010
7119. El Niño Magnitude and Western Pacific Warm Pool Displacement. Part II: Future Changes Under Global Warming Z. Gu & D. Sun https://doi.org/10.3390/cli13050097
7120. Unraveling the roles of decreased Tibetan Plateau snow cover on summer prolonged marine heatwaves in the Yellow Sea‒Bohai Sea X. Jia et al. https://doi.org/10.1016/j.accre.2025.07.004
7121. Hybrid AI–Physics Modeling for Climate-Resilient Maize Production: Integrating DSSAT and Machine Learning A. Zeleke https://doi.org/10.1016/j.atech.2026.102572
7122. The Biophysical Impacts of Deforestation on Precipitation: Results from the CMIP6 Model Intercomparison X. Luo et al. https://doi.org/10.1175/JCLI-D-21-0689.1
7123. A year above 1.5 °C signals that Earth is most probably within the 20-year period that will reach the Paris Agreement limit E. Bevacqua et al. https://doi.org/10.1038/s41558-025-02246-9
7124. Spatiotemporal dynamics of urban extreme heat under intensifying potential future heatwaves: Evidence from the Tokyo megalopolis D. Zhu et al. https://doi.org/10.1016/j.uclim.2026.102839
7125. Global warming intensifies pantropical coupling and its control on northern hemisphere tropical cyclones H. Zhao et al. https://doi.org/10.1038/s41612-026-01412-w
7126. Decadal change in seasonal prediction skills of the Indian Ocean Basin Mode during boreal summer C. Xu & Y. Wu https://doi.org/10.1007/s00382-026-08397-5
7127. Cloud feedback overestimated in coupled CESM2 simulations relative to AMIP simulations and satellite observations: importance of the pattern effect and implications for climate sensitivity S. Raghuraman & B. Medeiros https://doi.org/10.1088/1748-9326/ae5fab
7128. Description and Demonstration of the Coupled Community Earth System Model v2 – Community Ice Sheet Model v2 (CESM2‐CISM2) L. Muntjewerf et al. https://doi.org/10.1029/2020MS002356
7129. Atmospheric rivers emerge as future freshwater reserves and heat stocks M. Lu et al. https://doi.org/10.1038/s43247-025-02780-6
7130. Multiple levels of human instability due to urban overland flow within the 21st century: An urban Catchment study case in Brazil L. Rápalo et al. https://doi.org/10.1016/j.ijdrr.2025.105931
7131. Kilometer-scale climate data provide no added value for regional photovoltaic energy analysis K. Haslehner & A. Voigt https://doi.org/10.1016/j.renene.2026.125891
7132. Evaluation of CMIP6 climate models and machine learning-based downscaling for precipitation projections over Iran A. Dariane et al. https://doi.org/10.1016/j.pce.2026.104589
7133. Projected Habitat Contraction and Distributional Shifts of the near Threatened Undulate Ray Raja undulata Under Climate Change C. Turan & A. Soldo https://doi.org/10.3390/biology15131035
7134. High-resolution climate-driven potential evapotranspiration to assess climate change impacts on Mediterranean agriculture A. Fonseca et al. https://doi.org/10.3389/fclim.2026.1854734
7135. Machine learning attribution and projection of extreme precipitation over the Tibetan Plateau L. Li et al. https://doi.org/10.1016/j.aosl.2026.100817
7136. Planetary albedo and reflected shortwave flux: Basic characteristics, mechanisms of change and future projections R. Li et al. https://doi.org/10.1016/j.earscirev.2025.105274
7137. Spread in climate policy scenarios unravelled M. Dekker et al. https://doi.org/10.1038/s41586-023-06738-6
7138. Can traditional management practices help mountain livestock farms in the Spanish Pyrenees cope with climate change? E. Muñoz-Ulecia et al. https://doi.org/10.1007/s10113-023-02170-8
7139. Initial Land Use/Cover Distribution Substantially Affects Global Carbon and Local Temperature Projections in the Integrated Earth System Model A. Di Vittorio et al. https://doi.org/10.1029/2019GB006383
7140. A multivariate analysis of atmospheric drivers for Western European heatwaves A. Paçal et al. https://doi.org/10.5194/esd-17-955-2026
7141. Wintertime Arctic Oscillation and North Atlantic Oscillation and their impacts on the Northern Hemisphere climate in E3SM D. Lee et al. https://doi.org/10.1007/s00382-020-05316-0
7142. NorESM2–DIAM: a coupled model for investigating global and regional climate-economy interactions J. Bjordal et al. https://doi.org/10.5194/gmd-19-1337-2026
7143. Saharan vertebrate flagships are good ecosystem-wide climate response surrogates E. de Moll et al. https://doi.org/10.1016/j.biocon.2025.111580
7144. Future Projections and Uncertainties of CMIP6 for Hydrological Indicators and Their Discrepancies from CMIP5 over South Korea M. Doi & J. Kim https://doi.org/10.3390/w14182926
7145. Evolution of land surface feedbacks on extreme heat: Adapting existing coupling metrics to a changing climate P. Dirmeyer et al. https://doi.org/10.3389/fenvs.2022.949250
7146. The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation​​​​​​​​​​​​​​ M. Willeit et al. https://doi.org/10.5194/gmd-15-5905-2022
7147. Contribution of the deepened Amundsen sea low to the record low Antarctic sea ice extent in February 2022 S. Wang et al. https://doi.org/10.1088/1748-9326/acc9d6
7148. Arctic Ocean Freshwater in CMIP6 Ensembles: Declining Sea Ice, Increasing Ocean Storage and Export H. Zanowski et al. https://doi.org/10.1029/2020JC016930
7149. Emerging Climate Signals in Tropical Oxygen Minimum Zones M. Delteil et al. https://doi.org/10.5194/bg-23-2205-2026
7150. Revisiting the impact of Asian large-scale orography on the summer precipitation in Northwest China and surrounding arid and semi-arid regions H. Luo et al. https://doi.org/10.1007/s00382-022-06301-5
7151. Reconstructing the biological invasion of noxious invasive weed Parthenium hysterophorus and invasion risk assessment in China H. Zheng et al. https://doi.org/10.3389/fpls.2024.1430576
7152. Regional imprints of changes in the Atlantic Meridional Overturning Circulation in the eddy-rich ocean model VIKING20X A. Biastoch et al. https://doi.org/10.5194/os-17-1177-2021
7153. Future Summer Marine Heatwaves in the Western South Atlantic N. Costa & R. Rodrigues https://doi.org/10.1029/2021GL094509
7154. Phase-Locking of El Niño and La Niña Events in CMIP6 Models Y. Yan & D. Sun https://doi.org/10.3390/atmos15080882
7155. Projected Climate Change Impacts on Phenology, Yield and Water Productivity of Wheat and Potato in Northwest Bangladesh M. Hossain et al. https://doi.org/10.1002/sae2.70215
7156. Use of seasonal dry and wet precipitation records to estimate the time of emergence (TOE) of changes in extreme precipitation anomalies F. Giorgi & F. Raffaele https://doi.org/10.1007/s00382-024-07358-0
7157. Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators A. Mahesh et al. https://doi.org/10.5194/gmd-18-5605-2025
7158. Using Machine Learning at scale in numerical simulations with SmartSim: An application to ocean climate modeling S. Partee et al. https://doi.org/10.1016/j.jocs.2022.101707
7159. Assessing the effects of climate change on the streamflow of the major river basins of central India M. Kavya et al. https://doi.org/10.1016/j.ejrh.2026.103219
7160. Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis J. Morris et al. https://doi.org/10.1038/s41467-025-57897-1
7161. A framework to inform economic valuation of non-use benefits from coral reef intervention efforts R. Heneghan et al. https://doi.org/10.1007/s00338-026-02844-9
7162. Comparative analysis of bias correction methods for projecting extreme precipitation and temeprature indices in Pakistan Z. Ali et al. https://doi.org/10.1016/j.atmosres.2025.107957
7163. Global energetics and local physics as drivers of past, present and future monsoons M. Biasutti et al. https://doi.org/10.1038/s41561-018-0137-1
7164. The Impacts of Global Warming on Climate Zone Changes Over Asia Based on CMIP6 Projections J. Kim & D. Bae https://doi.org/10.1029/2021EA001701
7165. Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
7166. Challenges with interpreting the impact of Atlantic Multidecadal Variability using SST-restoring experiments C. O’Reilly et al. https://doi.org/10.1038/s41612-023-00335-0
7167. Increase in ocean-onto-land droughts and their drivers under anthropogenic climate change Y. Guan et al. https://doi.org/10.1038/s41612-023-00523-y
7168. Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts H. Pereira et al. https://doi.org/10.1016/j.ocemod.2024.102395
7169. Prolonged Siberian heat of 2020 almost impossible without human influence A. Ciavarella et al. https://doi.org/10.1007/s10584-021-03052-w
7170. Characteristics of top-of-atmosphere radiation budget over the Tibetan Plateau and its bias sources in climate models J. Li et al. https://doi.org/10.1016/j.atmosres.2022.106256
7171. Understanding model diversity in future precipitation projections for South America Ø. Hodnebrog et al. https://doi.org/10.1007/s00382-021-05964-w
7172. Impact of Hydroclimate Change on the Management for the Multipurpose Reservoir: A Case Study in Meishan (China) Y. Liu et al. https://doi.org/10.1155/2022/6953306
7173. FIO-ESM: The Earth System Model Coupled with Ocean Surface Gravity Waves 振. 宋 https://doi.org/10.12677/CCRL.2020.91004
7174. Warming proportional to cumulative carbon emissions not explained by heat and carbon sharing mixing processes N. Gillett https://doi.org/10.1038/s41467-023-42111-x
7175. Projected climate change impacts on Potato yield in East Africa T. Kirina et al. https://doi.org/10.1016/j.eja.2025.127560
7176. Outlook for Offshore Wind Energy Development in Mexico from WRF Simulations and CMIP6 Projections J. Meza-Carreto et al. https://doi.org/10.3390/en17081866
7177. Rainfall extremes on the rise: Observations during 1951–2020 and bias-corrected CMIP6 projections for near- and late 21st century over Indian landmass U. Saha & M. Sateesh https://doi.org/10.1016/j.jhydrol.2022.127682
7178. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes https://doi.org/10.1126/sciadv.abo6872
7179. Carbon sequestration potential of eight economically important tree species in Northeast China under climate change L. Sprengel et al. https://doi.org/10.1016/j.foreco.2023.121299
7180. A review and comparison of surface incident shortwave radiation from multiple data sources: satellite retrievals, reanalysis data and GCM simulations S. Yang et al. https://doi.org/10.1080/17538947.2023.2198262
7181. Interdecadal Variations of Radiative Feedbacks Associated With the El Niño and Southern Oscillation (ENSO) in CMIP6 Models K. Tsuchida et al. https://doi.org/10.1029/2023GL106127
7182. Extreme Precipitation in 150-year Continuous Simulations by 20-km and 60-km Atmospheric General Circulation Models with Dynamical Downscaling over Japan by a 20-km Regional Climate Model R. MIZUTA et al. https://doi.org/10.2151/jmsj.2022-026
7183. Anthropogenic influence has significantly affected snowfall changes in Eurasia W. Lin et al. https://doi.org/10.1016/j.atmosres.2023.107125
7184. The Impact of Enhanced Vertical Resolution on Seasonal Prediction Skill of the Quasi‐Biennial Oscillation and Its Teleconnections in CESM2: A New Community Hindcast Dataset I. Simpson et al. https://doi.org/10.1029/2025JD046148
7185. Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. https://doi.org/10.3390/atmos14101497
7186. Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century S. Salehi et al. https://doi.org/10.3390/forecast6040055
7187. Impacts of a weakened AMOC on precipitation over the Euro-Atlantic region in the EC-Earth3 climate model K. Bellomo et al. https://doi.org/10.1007/s00382-023-06754-2
7188. A Method for Estimating Global Subgrid‐Scale Orographic Gravity‐Wave Temperature Perturbations in Chemistry‐Climate Models M. Weimer et al. https://doi.org/10.1029/2022MS003505
7189. The End of the Wait for Climate Sensitivity? B. Sanderson https://doi.org/10.1029/2019GL084685
7190. Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. https://doi.org/10.1007/s13351-022-1202-7
7191. First record of Slender-billed Xenops (Xenops tenuirostris) from the Belém Region of Endemism: implications for its distribution in the Amazon G. SANDES et al. https://doi.org/10.1590/1809-4392202500651
7192. Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. https://doi.org/10.1029/2022GL098820
7193. The effect of Arctic warming on Moscow climate continentality G. Alexandrov et al. https://doi.org/10.1088/1755-1315/606/1/012004
7194. Disentangling Effects of Vegetation Structure and Physiology on Land–Atmosphere Coupling W. Li et al. https://doi.org/10.1111/gcb.70035
7195. Assessing crop resilience: climate change impact on major crops across agro climatic zones of Tamil Nadu, India under SSP 2–4.5 scenario R. Andimuthu et al. https://doi.org/10.1007/s00704-025-05582-0
7196. Evaluating ISIMIP3b bias-corrected data for precipitation extremes in China during 1981–2100 B. Liu et al. https://doi.org/10.1016/j.accre.2025.08.005
7197. Evaluation of CMIP6 models over Zambia: assessment of temperature, precipitation, and droughts for climate adaptation V. Sahana et al. https://doi.org/10.1007/s12040-026-02968-0
7198. PALEOSTRIPv1.0 – a user-friendly 3D backtracking software to reconstruct paleo-bathymetries F. Colleoni et al. https://doi.org/10.5194/gmd-14-5285-2021
7199. The Southern Ocean as the climate's freight train – driving ongoing global warming under zero-emission scenarios with ACCESS-ESM1.5 M. Chamberlain et al. https://doi.org/10.5194/bg-21-3053-2024
7200. Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 R. Li et al. https://doi.org/10.1029/2020MS002152
7201. Warming-induced vegetation growth cancels out soil carbon-climate feedback in the northern Asian permafrost region in the 21st century J. Liu et al. https://doi.org/10.1088/1748-9326/ac7eda
7202. Climate response and sensitivity: time scales and late tipping points R. Bastiaansen et al. https://doi.org/10.1098/rspa.2022.0483
7203. Investigating hydroclimatic impacts of the 168–158 BCE volcanic quartet and their relevance to the Nile River basin and Egyptian history R. Singh et al. https://doi.org/10.5194/cp-19-249-2023
7204. Water masses and climate change drive marine archaeal community biogeography: Insights from a dynamic marginal sea Z. Lin et al. https://doi.org/10.1016/j.marpolbul.2025.119068
7205. Current and future potential distribution of the invasive scale Ceroplastes rusci (L., 1758) (Hemiptera: Coccidae) under climate niche Y. Shan et al. https://doi.org/10.1002/ps.7290
7206. Global terrestrial moisture recycling in Shared Socioeconomic Pathways A. Staal et al. https://doi.org/10.5194/esd-16-215-2025
7207. Climate change impacts the vertical structure of marine ecosystem thermal ranges Y. Santana-Falcón & R. Séférian https://doi.org/10.1038/s41558-022-01476-5
7208. Sources of seasonal sea-ice bias for CMIP6 models in the Hudson Bay Complex A. Crawford et al. https://doi.org/10.1017/aog.2023.42
7209. Processing tomato production is expected to decrease by 2050 due to the projected increase in temperature D. Cammarano et al. https://doi.org/10.1038/s43016-022-00521-y
7210. Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations F. Hellmuth et al. https://doi.org/10.5194/acp-25-1353-2025
7211. Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch: Predictions Based on MaxEnt Ecological Niche Modeling H. Zhang et al. https://doi.org/10.3390/su15010631
7212. Predicting potential distribution shifts due to climate change and assessing contemporary land cover changes for two endemic bird species of the Mexican karst forests (Hylorchilus sumichrasti and Hylorchilus navai: Troglodytidae) A. Malpica et al. https://doi.org/10.1007/s10113-025-02463-0
7213. Strong El Niño and La Niña precipitation—sea surface temperature sensitivity under a carbon removal scenario C. Liu et al. https://doi.org/10.1038/s43247-024-01958-8
7214. Characterization and future projection of marine heatwaves under climate change in the South China Sea W. Sun et al. https://doi.org/10.1016/j.ocemod.2024.102322
7215. Joint effect of the North Pacific Victoria mode and the tropical Pacific on El Niño diversity L. Shi et al. https://doi.org/10.1007/s00382-022-06550-4
7216. Changes in the Subantarctic Mode Water Properties and Spiciness in the Southern Indian Ocean based on Argo Observations Y. ZHANG et al. https://doi.org/10.1175/JPO-D-20-0254.1
7217. Influence of Anthropogenic Activities on Near‐Surface Wind Speed Attenuation Over the Tibetan Plateau L. Zhu et al. https://doi.org/10.1002/joc.70284
7218. Simulating record-shattering cold winters of the beginning of the 21st century in France C. Cadiou & P. Yiou https://doi.org/10.5194/wcd-6-1-2025
7219. Mapping the potential spread of Anopheles stephensi in Europe and the Mediterranean: climate change and invasion pathways S. Aksu https://doi.org/10.1007/s11756-025-02059-3
7220. Role of Atlantification in Enhanced Primary Productivity in the Barents Sea K. Noh et al. https://doi.org/10.1029/2023EF003709
7221. Next steps for assessing ocean iron fertilization for marine carbon dioxide removal K. Buesseler et al. https://doi.org/10.3389/fclim.2024.1430957
7222. Emergent constraints on climate sensitivities M. Williamson et al. https://doi.org/10.1103/RevModPhys.93.025004
7223. Observed and Coupled Model Intercomparison Project 6 multimodel simulated changes in near‐surface temperature properties over Ghana during the 20th century C. Oduro et al. https://doi.org/10.1002/joc.7439
7224. Mechanisms of tropical Pacific decadal variability A. Capotondi et al. https://doi.org/10.1038/s43017-023-00486-x
7225. Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models M. Waqas & U. Humphries https://doi.org/10.1080/20964471.2025.2547500
7226. The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research L. Touzé‐Peiffer et al. https://doi.org/10.1002/wcc.648
7227. A Strengthened Teleconnection of the Quasi‐Biennial Oscillation and Tropical Easterly Jet in the Past Decades in E3SMv1 Y. Li et al. https://doi.org/10.1029/2023GL104517
7228. Atmospheric forcing dominates winter Barents-Kara sea ice variability on interannual to decadal time scales Z. Liu et al. https://doi.org/10.1073/pnas.2120770119
7229. Interdecadal tropical Pacific–Atlantic interaction simulated in CMIP6 models Y. Deng et al. https://doi.org/10.1007/s00382-024-07155-9
7230. Conservation challenges to the useful neotropical palm Babaçu (Attalea pindobassu Bondar) in the face of climate change I. Menezes et al. https://doi.org/10.1016/j.flora.2023.152262
7231. Projections of future distribution for the Golden Parakeet (Guaruba guarouba) indicate increased extinction risk for an Amazonian flagship species K. de Moraes et al. https://doi.org/10.1016/j.gecco.2024.e03353
7232. Contrasting Responses of Spring and Summer Potato to Climate Change in South Korea Y. Kim & H. Webber https://doi.org/10.1007/s11540-024-09691-7
7233. Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China D. Wang et al. https://doi.org/10.1002/met.2144
7234. Evaluating CMIP6 Model Accuracy in Predicting and Clustering Precipitation and Temperature Trends in the Omo-Gibe River Basin, Ethiopia F. Chanie et al. https://doi.org/10.1080/07055900.2025.2485087
7235. Effects of a freshening trend on upper-ocean stratification over the central tropical Pacific and their representation by CMIP6 models L. Ke-xin & Z. Fei https://doi.org/10.1016/j.dsr2.2021.104999
7236. Atmospheric cloud-radiative heating in CMIP6 and observations and its response to surface warming A. Voigt et al. https://doi.org/10.5194/acp-24-9749-2024
7237. Climate change could disrupt migratory patterns for an Arctic seabird population A. Patterson et al. https://doi.org/10.3354/meps14811
7238. Skilful decadal predictions of subpolar North Atlantic SSTs using CMIP model-analogues M. Menary et al. https://doi.org/10.1088/1748-9326/ac06fb
7239. Rapid flips between warm and cold extremes in a warming world S. Wu et al. https://doi.org/10.1038/s41467-025-58544-5
7240. Projected climate change impacts on habitat suitability of threatened medicinal plants in Himachal Pradesh, Western Himalaya: an ensemble species distribution modelling approach S. Tomar et al. https://doi.org/10.1038/s41598-026-66433-0
7241. Land transpiration-evaporation partitioning errors responsible for modeled summertime warm bias in the central United States J. Dong et al. https://doi.org/10.1038/s41467-021-27938-6
7242. Impact of climate change on rice growth and yield in China: Analysis based on climate year type L. Wang et al. https://doi.org/10.1016/j.geosus.2024.06.006
7243. Imminent rapid decline of the Indonesian Throughflow after reaching a turning point of CO2 concentration S. Hu et al. https://doi.org/10.1038/s41467-025-66746-0
7244. Global coastal wind hazard maps from the CHAZ tropical cyclone model S. Meiler et al. https://doi.org/10.1038/s41597-025-06452-0
7245. Forest carbon protocols underestimate climate-driven carbon loss risks C. Wu et al. https://doi.org/10.1038/s41586-026-10571-y
7246. Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP6 O. Salehie et al. https://doi.org/10.1007/s00477-022-02201-6
7247. Relative contributions of local heat storage and ocean heat transport to cold‐season Arctic Ocean surface energy fluxes in CMIP6 models K. Hajjar & M. Salzmann https://doi.org/10.1002/qj.4496
7248. Aridity intensification and regime transition in the Ganga Basin: LULC-spectral attribution, ET/PET divergence, and bias-corrected CMIP6 ensemble projection (2000–2100) K. Dhadse & A. Singh https://doi.org/10.1016/j.ejrh.2026.103724
7249. CMIP6 multi-model assessment of Northeast Atlantic and German Bight storm activity D. Krieger & R. Weisse https://doi.org/10.5194/esd-17-1-2026
7250. Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa B. Ayugi et al. https://doi.org/10.1002/joc.7207
7251. The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging A. Sánchez-Benítez et al. https://doi.org/10.1175/JCLI-D-21-0573.1
7252. Assessing global drought conditions under climate change: A comparison of stationary and non-stationary approaches and identification of hotspot regions D. Wu et al. https://doi.org/10.1016/j.jhydrol.2024.131663
7253. The fate of antarctic intermediate water: scenarios of volume and temperature-salinity changes in the Western South Atlantic from CMIP6 models G. de Oliveira et al. https://doi.org/10.1016/j.eve.2025.100087
7254. Physics-Enhanced Multilevel Residual Model for Sea Surface Temperature Prediction M. Deng et al. https://doi.org/10.1109/JSTARS.2026.3689608
7255. Projected Changes in Spatiotemporal Propagation of Droughts Over the Loess Plateau: Roles of Climate and Vegetation Change F. Ma et al. https://doi.org/10.1002/hyp.70246
7256. The physiological effect of CO2 on the hydrological cycle in summer over Europe and land-atmosphere interactions J. Boé https://doi.org/10.1007/s10584-021-03173-2
7257. Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization M. Mosteiro-Romero et al. https://doi.org/10.1016/j.buildenv.2023.110318
7258. Oceanic repeaters boost the global climatic impact of the Tibetan Plateau Y. Xie et al. https://doi.org/10.1016/j.scib.2023.07.019
7259. Climate change impacts on evapotranspiration in Brazil: a multi-model assessment A. Monteiro et al. https://doi.org/10.1007/s00704-024-04942-6
7260. Modellering av biogeokjemiske prosesser i den norske klimamodellen NorESM T. Berntsen https://doi.org/10.18261/issn.1504-3118-2021-05-06
7261. Accelerated internal tides in a warming climate Y. Gong et al. https://doi.org/10.1126/sciadv.adq4577
7262. Model‐Derived Uncertainties in Deep Ocean Temperature Trends Between 1990 and 2010 F. Garry et al. https://doi.org/10.1029/2018JC014225
7263. The two chytrid pathogens of amphibians in Eurasia—climatic niches and future expansion D. Sun et al. https://doi.org/10.1186/s12862-023-02132-y
7264. Modeling the impacts of oil palm plantations on water quantity and quality in the Kais River Watershed of Indonesia B. Asmara & T. Randhir https://doi.org/10.1016/j.scitotenv.2024.172456
7265. Mean surface density flux constrains the amplitude of AMOC decadal variability Z. Xu et al. https://doi.org/10.1088/1748-9326/aea7b8
7266. Assessing uncertainty in forecasts of refugia for Joshua trees using high‐density distribution data D. Shryock et al. https://doi.org/10.1002/ecs2.70308
7267. Projected Changes of Wind Energy Input to Surface Waves in the North Indian Ocean Based on CMIP6 J. Li et al. https://doi.org/10.3390/atmos15010139
7268. Biases in CMIP6 Historical U.S. Severe Convective Storm Environments Driven by Biases in Mean‐State Near‐Surface Moist Static Energy D. Chavas & F. Li https://doi.org/10.1029/2022GL098527
7269. Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes J. Dorrington et al. https://doi.org/10.5194/wcd-3-505-2022
7270. Conservation assessment of the vulnerable species Capra nubiana under changing precipitation: a decision- support tool for conservation planning R. Khayat & M. Dakhil https://doi.org/10.1007/s42991-024-00445-z
7271. From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme M. Pesci et al. https://doi.org/10.3389/frwa.2023.1296344
7272. Exploring the seasonal characteristics of the equatorial Atlantic SSTA: insights from an extended recharge-discharge oscillator framework Z. Cai et al. https://doi.org/10.1007/s00382-024-07535-1
7273. Impact of Solar Radiation Management on Anomalous Temperature Side Effects of Climate Change in Papua Province, Indonesia R. Gernowo et al. https://doi.org/10.1051/e3sconf/202565002051
7274. Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model V. Malagón-Santos et al. https://doi.org/10.1088/1748-9326/ade906
7275. Bioclimatic Characterization Relating to Temperature and Subsequent Future Scenarios of Vine Growing across the Apulia Region in Southern Italy G. Gentilesco et al. https://doi.org/10.3390/agriculture13030644
7276. The Common Representative Intermediates Mechanism Version 2 in the United Kingdom Chemistry and Aerosols Model S. Archer‐Nicholls et al. https://doi.org/10.1029/2020MS002420
7277. Human-induced intensification of sea surface temperature regime shifts threatens global Large Marine Ecosystems Q. Xing et al. https://doi.org/10.1038/s41467-026-70986-z
7278. Robust future intensification of winter precipitation over the United States A. Akinsanola et al. https://doi.org/10.1038/s41612-024-00761-8
7279. Projecting the potential distribution of ticks in China under climate and land use change X. Yang et al. https://doi.org/10.1016/j.ijpara.2021.01.004
7280. Quantification of Uncertainty in Projections of Extreme Daily Precipitation S. Kim et al. https://doi.org/10.1029/2019EA001052
7281. The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125) E. Cimadevilla et al. https://doi.org/10.5194/gmd-18-2461-2025
7282. Regional environmental controllers influence continental scale soil carbon stocks and future carbon dynamics D. Gonçalves et al. https://doi.org/10.1038/s41598-021-85992-y
7283. Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale L. Tang et al. https://doi.org/10.21105/jcon.00134
7284. A comparison of CMIP5 and CMIP6 climate model projections for hydrological impacts in China Y. Lei et al. https://doi.org/10.2166/nh.2023.108
7285. Observational evidence that cloud feedback amplifies global warming P. Ceppi & P. Nowack https://doi.org/10.1073/pnas.2026290118
7286. Simulating the climate change effects on the Karaj Dam basin: hydrological behavior and runoff M. Nasirabadi et al. https://doi.org/10.2166/wcc.2024.721
7287. Projection of suitability for the typical agro-ecological types in Central Asia under four SSP-RCP scenarios L. Yao et al. https://doi.org/10.1016/j.eja.2022.126599
7288. Global climate-related predictors at kilometer resolution for the past and future P. Brun et al. https://doi.org/10.5194/essd-14-5573-2022
7289. Integrating CMIP6 climate projections with community-based vulnerability assessment for climate resilience in Haripur, Pakistan S. Ali et al. https://doi.org/10.1007/s00704-026-06163-5
7290. Using Statistical and Dynamical Downscaling to Assess Climate Change Impacts on Mine Reclamation Cover Water Balances M. Alam et al. https://doi.org/10.1007/s10230-020-00695-6
7291. Climate Warming at European Airports: Human Factors and Infrastructure Planning J. Williams et al. https://doi.org/10.3390/aerospace13020127
7292. Tropical response to ocean circulation slowdown raises future drought risk P. DiNezio et al. https://doi.org/10.1038/s41586-025-09319-x
7293. Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation F. Ajibola et al. https://doi.org/10.3390/atmos11101053
7294. Modeling the Vertical Flux of Organic Carbon in the Global Ocean A. Burd https://doi.org/10.1146/annurev-marine-022123-102516
7295. Increasing water stress in Chile revealed by novel datasets of water availability, land use and water use J. Boisier et al. https://doi.org/10.5194/hess-29-5185-2025
7296. Large impact of extreme precipitation on projected blue–green water partitioning S. Heselschwerdt et al. https://doi.org/10.5194/esd-17-811-2026
7297. Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
7298. Changes of Köppen Climate Zones over China in Simulated Interglacial and Future Warm Intervals B. Wu & D. Jiang https://doi.org/10.1007/s00376-026-6224-0
7299. Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations F. Ehmele et al. https://doi.org/10.5194/esd-11-469-2020
7300. Mass loss of the Greenland ice sheet until the year 3000 under a sustained late-21st-century climate R. Greve & C. Chambers https://doi.org/10.1017/jog.2022.9
7301. Climate change projections from a multi-model ensemble of CORDEX and CMIPs over Angola I. Pinto et al. https://doi.org/10.1088/2752-5295/ace210
7302. Western North Pacific Tropical cyclones act to suppress its adjacent Hadley circulation F. Xu et al. https://doi.org/10.1038/s41612-025-01227-1
7303. Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity M. Wang et al. https://doi.org/10.1038/s41467-025-60104-w
7304. Probabilistic wind power adequacy and economic viability across middle eastern climate regimes under future climate change M. Tamimi et al. https://doi.org/10.1007/s00477-026-03203-4
7305. Widespread Persistent Extreme Cold Events Over South‐East China: Mechanisms, Trends, and Attribution N. Freychet et al. https://doi.org/10.1029/2020JD033447
7306. Intensified Atlantic multidecadal variability in a warming climate S. Li et al. https://doi.org/10.1038/s41558-025-02252-x
7307. Evaluating CMIP6 Historical Mean Precipitation over Africa and the Arabian Peninsula against Satellite-Based Observation I. Nooni et al. https://doi.org/10.3390/atmos14030607
7308. Increasing connections of the leading internal mode of the summertime Northwest Pacific subtropical anticyclone with preceding ENSO under greenhouse warming in FGOALS‐g3 super‐large ensemble J. Ma et al. https://doi.org/10.1002/joc.8197
7309. Causal Impacts of El Niño–Southern Oscillation on Global Soil Moisture Over the Period 2015–2100 T. Le & D. Bae https://doi.org/10.1029/2021EF002522
7310. Strong 2023–2024 El Niño generated by ocean dynamics Q. Peng et al. https://doi.org/10.1038/s41561-025-01700-9
7311. Quantification of uncertainties in projections of extreme daily precipitation simulated by CMIP6 GCMs over homogeneous regions of India M. Nair et al. https://doi.org/10.1002/joc.8269
7312. Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models G. Meehl et al. https://doi.org/10.1126/sciadv.aba1981
7313. Observationally constrained projection of Afro-Asian monsoon precipitation Z. Chen et al. https://doi.org/10.1038/s41467-022-30106-z
7314. Observation-Constrained Intercomparison of CMIP6 GCMs Precipitation Projections around Japan D. Kim & N. Shirakawa https://doi.org/10.1007/s13143-025-00423-6
7315. Projected Increases in Heat-Related Emergency Department Imaging Utilization Under Climate Change Scenarios E. Yilmaz et al. https://doi.org/10.1177/08465371261457322
7316. Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. https://doi.org/10.1073/pnas.2112087118
7317. A new metrics framework for quantifying and intercomparing atmospheric rivers in observations, reanalyses, and climate models B. Dong et al. https://doi.org/10.5194/gmd-18-961-2025
7318. Impact of Climate Change on Risk Assessment and Effective Maintenance Strategies for Bridge Networks Subjected to Corrosion X. Han & D. Frangopol https://doi.org/10.1061/AJRUA6.RUENG-1059
7319. Evaluating the climatic suitability of Engytatus passionarius Minghetti et al. (Heteroptera, Miridae) as a biological control agent of the invasive stinking passion flower Passiflora foetida L. in Australia through ecological niche models E. Minghetti et al. https://doi.org/10.1016/j.biocontrol.2024.105461
7320. Assessments of Air Quality and Climate Simulations over East Asia Using Different Atmospheric Chemistry Schemes in the UK Earth System Model with Interactive Chemistry-Aerosol-Cloud-Radiation Processes D. Youn & H. Song https://doi.org/10.5572/KOSAE.2025.41.4.622
7321. An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States S. Weiss & E. Coughlan de Perez https://doi.org/10.1088/2976-601X/ad8bc7
7322. Oceanic heat sources exacerbate continental heatwaves G. Wang et al. https://doi.org/10.1016/j.oneear.2026.101716
7323. Age-specific timing of bud burst in subtropical Carya illinoinensis and Torreya grandis under current and future climatic conditions S. Diao et al. https://doi.org/10.1016/j.agrformet.2026.111264
7324. Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald https://doi.org/10.1016/j.ese.2021.100124
7325. Climate change and its effects on the streamflow of an Andean river basin with volcanic activity H. Salas et al. https://doi.org/10.2166/wcc.2023.340
7326. THE IMPACT OF FUTURE CHANGES IN AGRICULTURAL LAND DISTRIBUTION ON EMISSIONS OF AIR POLLUTANTS K. YAMAZAKI et al. https://doi.org/10.2208/jscejj.24-27051
7327. Warming climate and ENSO variability enhance the risk of sequential extremes in India V. Mishra et al. https://doi.org/10.1016/j.oneear.2022.10.013
7328. Mesospheric Nitric Oxide Transport in WACCM C. Smith‐Johnsen et al. https://doi.org/10.1029/2021JA029998
7329. Validation of methods for developing typical meteorological years based on future climate models S. Seyed Salehi et al. https://doi.org/10.1051/e3sconf/202456207002
7330. Continental-scale bias correction and random forest downscaling of CMIP6 precipitation across Europe S. Doshi et al. https://doi.org/10.1080/10106049.2026.2657618
7331. cfdm: A Python reference implementation of the CF data model D. Hassell & S. Bartholomew https://doi.org/10.21105/joss.02717
7332. Understanding the Low Predictability of the 2015/16 El Niño Event Based on a Deep Learning Model T. Wang et al. https://doi.org/10.1007/s00376-024-3238-3
7333. Impact of Changing Wind Loads on the Reliability of Power Transmission Lines in Different Regions of Russia V. Klimenko et al. https://doi.org/10.1134/S1028335822060064
7334. Gaps in Water Quality Modeling of Hydrologic Systems L. Lucas et al. https://doi.org/10.3390/w17081200
7335. Assessing landscape genomic determinants of the potential spread risk of Solanum rostratum in China Y. Liu et al. https://doi.org/10.1016/j.gecco.2026.e04337
7336. Quantitative methods to predict the effect of climate change on microbial food safety: A needs analysis L. Katsini et al. https://doi.org/10.1016/j.tifs.2021.07.041
7337. Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia D. Hirko et al. https://doi.org/10.1016/j.pce.2025.104137
7338. Uncertainty in El Niño-like warming and California precipitation changes linked by the Interdecadal Pacific Oscillation L. Dong et al. https://doi.org/10.1038/s41467-021-26797-5
7339. Albedos, Equilibrium Temperatures, and Surface Temperatures of Habitable Planets A. Del Genio et al. https://doi.org/10.3847/1538-4357/ab3be8
7340. Projection for the occurrence dates of heat stress in North China L. Bu et al. https://doi.org/10.1016/j.accre.2025.01.011
7341. Differential Impacts of Climatic and Land Use Changes on Habitat Suitability and Protected Area Adequacy across the Asian Elephant’s Range W. Yang et al. https://doi.org/10.3390/su14094933
7342. Globally unequal effect of extreme heat on economic growth C. Callahan & J. Mankin https://doi.org/10.1126/sciadv.add3726
7343. Food and nutrition security under changing climate and socioeconomic conditions M. Rosegrant et al. https://doi.org/10.1016/j.gfs.2024.100755
7344. Climate models project increasing precipitation in the US Southwest in 2024–2100 P. Chylek et al. https://doi.org/10.1007/s00382-025-07857-8
7345. Evaluation of Temperature and Precipitation Simulations in CMIP6 Models Over the Tibetan Plateau T. Cui et al. https://doi.org/10.1029/2020EA001620
7346. Enhanced surface temperature over India during 1980–2020 and future projections: causal links of the drivers and trends R. Kumar et al. https://doi.org/10.1038/s41612-023-00494-0
7347. Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. https://doi.org/10.1016/j.atmosres.2024.107255
7348. Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2) W. Wieder et al. https://doi.org/10.1029/2021GB007034
7349. Biases and improvements of the boreal winter–spring equatorial undercurrent in the Indian Ocean in the CMIP5 and CMIP6 models J. Li et al. https://doi.org/10.3389/fmars.2023.1168385
7350. Intercomparison of two model climates simulated by a unified weather-climate model system (GRIST), part II: Madden–Julian oscillation Z. Fu et al. https://doi.org/10.1007/s00382-024-07527-1
7351. Inter-comparison of past and projected climatic trends in Puerto Rico: 1950–2100 M. Jury https://doi.org/10.2166/wcc.2022.071
7352. Using reduced-complexity volcanic aerosol and climate models to produce large ensemble simulations of Holocene temperature M. Verkerk et al. https://doi.org/10.5194/cp-21-1755-2025
7353. 20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling C. Yang et al. https://doi.org/10.5194/gmd-19-1849-2026
7354. Relative importance of the mechanisms triggering the Eurasian ice sheet deglaciation in the GRISLI2.0 ice sheet model V. van Aalderen et al. https://doi.org/10.5194/cp-20-187-2024
7355. Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis Z. Yu et al. https://doi.org/10.1016/j.jclepro.2026.148227
7356. The Role of the Mean State on MJO Simulation in CESM2 Ensemble Simulation D. Kang et al. https://doi.org/10.1029/2020GL089824
7357. Impact of topography and meteorological forcing on snow simulation in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) L. Wang et al. https://doi.org/10.5194/gmd-18-6597-2025
7358. Net surface energy flux over the globe and Asian monsoon region in CMIP6 high-resolution models X. Liao et al. https://doi.org/10.1007/s00382-025-07705-9
7359. Evaluating the Applicability of a Quantile–Quantile Adjustment Approach for Downscaling Monthly GCM Projections to Site Scale over the Qinghai-Tibet Plateau Z. Yin et al. https://doi.org/10.3390/atmos12091170
7360. A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al. https://doi.org/10.1017/eds.2022.24
7361. High flow management as climate change adaptation for freshwater ecosystems in regulated rivers A. John et al. https://doi.org/10.1080/13241583.2024.2392322
7362. Dual impact of global urban overheating on mortality S. Wang et al. https://doi.org/10.1038/s41558-025-02303-3
7363. An Ecoregional Conservation Assessment for the Northern Rockies Ecoregion and Proposed Climate Refugium in the Yaak River Watershed, USA D. DellaSala et al. https://doi.org/10.3390/f16050822
7364. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al. https://doi.org/10.3389/ffgc.2021.818661
7365. An innovative index for separating the effects of temperature and precipitation on global vegetation change X. Zhang & X. Li https://doi.org/10.1016/j.isci.2023.106972
7366. Using the fast impact of anthropogenic aerosols on regional land temperature to constrain aerosol forcing Z. Shen et al. https://doi.org/10.1126/sciadv.abb5297
7367. Projected Change in Temperature and Precipitation Over Africa from CMIP6 M. Almazroui et al. https://doi.org/10.1007/s41748-020-00161-x
7368. Deep Emulators for Differentiation, Forecasting, and Parametrization in Earth Science Simulators M. Nonnenmacher & D. Greenberg https://doi.org/10.1029/2021MS002554
7369. Bespoke climate indicators for the Swedish energy sector − a stakeholder focused approach G. Strandberg et al. https://doi.org/10.1016/j.cliser.2024.100486
7370. Comparative assessment of dry- and humid-heat extremes in a warming climate: Frequency, intensity, and seasonal timing X. Fan et al. https://doi.org/10.1016/j.wace.2024.100698
7371. The Relation Between the Latitudinal Shifts of Midlatitude Diabatic Heating, Eddy Heat Flux, and the Eddy‐Driven Jet in CMIP6 Models O. Lachmy https://doi.org/10.1029/2022JD036556
7372. Increased interannual variability of Sahel rainfall under greenhouse warming K. Yang et al. https://doi.org/10.1038/s41467-025-67885-0
7373. Surface Wave Mixing Modifies Projections of 21st Century Ocean Heat Uptake J. Kousal et al. https://doi.org/10.3390/atmos14030532
7374. Revisiting a Constraint on Equilibrium Climate Sensitivity From a Last Millennium Perspective S. Cropper et al. https://doi.org/10.1029/2023GL104126
7375. Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes K. Tazi et al. https://doi.org/10.1017/eds.2025.10020
7376. Quantitative evaluations of subtropical westerly jet simulations over East Asia based on multiple CMIP5 and CMIP6 GCMs B. Zhou et al. https://doi.org/10.1016/j.atmosres.2022.106257
7377. Modeling Atmospheric Lines by the Exoplanet Community (MALBEC) Version 1.0: A CUISINES Radiative Transfer Intercomparison Project G. Villanueva et al. https://doi.org/10.3847/PSJ/ad2681
7378. Improving simulations of extreme precipitation events in China by the CMIP6 global climate models through statistical downscaling J. Zhang et al. https://doi.org/10.1016/j.atmosres.2024.107344
7379. Volume, evolution, and sedimentation of future glacier lakes in Switzerland over the 21st century T. Steffen et al. https://doi.org/10.5194/esurf-10-723-2022
7380. Influences of El Niño–Southern Oscillation on summertime ozone pollution over central-eastern China during 1950–2014 Y. Wang et al. https://doi.org/10.1007/s11356-022-22543-6
7381. Evaluation of soil temperature in CMIP6 multimodel simulations J. Zhou et al. https://doi.org/10.1016/j.agrformet.2024.110039
7382. Spatiotemporal dynamics of blue and green water resources in a mountainous watershed: A case study of the Wujiang River Basin, China W. Kang et al. https://doi.org/10.1016/j.ejrh.2023.101484
7383. Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site M. Barrere et al. https://doi.org/10.5194/gmd-10-3461-2017
7384. Global patterns of sea surface climate connectivity for marine species P. Petsas et al. https://doi.org/10.1038/s43247-022-00569-5
7385. The Planetary Theory of Solar Activity Variability: A Review N. Scafetta & A. Bianchini https://doi.org/10.3389/fspas.2022.937930
7386. Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia P. Ritchie et al. https://doi.org/10.1038/s43247-022-00528-0
7387. A simple dynamical system for representing climate tipping points with hysteresis C. Huntingford et al. https://doi.org/10.5194/npg-33-385-2026
7388. Future surface temperatures over Europe according to CMIP6 climate projections: an analysis with original and bias-corrected data D. Carvalho et al. https://doi.org/10.1007/s10584-021-03159-0
7389. El Niño and La Niña asymmetry in short-term predictability on springtime initial condition H. Chen et al. https://doi.org/10.1038/s41612-023-00446-8
7390. Modern anthropogenic drought in Central Brazil unprecedented during last 700 years N. Stríkis et al. https://doi.org/10.1038/s41467-024-45469-8
7391. Projected changes in extreme daily precipitation linked to changes in precipitable water and vertical velocity in CMIP6 models L. Gimeno-Sotelo et al. https://doi.org/10.1016/j.atmosres.2024.107413
7392. Phytoplankton abundance in the Barents Sea is predictable up to five years in advance F. Fransner et al. https://doi.org/10.1038/s43247-023-00791-9
7393. Modulations of ocean-atmosphere interactions on squid abundance over Southwest Atlantic C. Ko et al. https://doi.org/10.1016/j.envres.2024.118444
7394. Using a virtual machine environment for developing, testing, and training for the UM-UKCA composition-climate model, using Unified Model version 10.9 and above N. Abraham et al. https://doi.org/10.5194/gmd-11-3647-2018
7395. Circulation Patterns and Associated Rainfall Over South Tropical South America: GCMs Evaluation During the Dry‐To‐Wet Transition Season M. Olmo et al. https://doi.org/10.1029/2022JD036468
7396. Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. https://doi.org/10.1088/1748-9326/ac0be1
7397. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. https://doi.org/10.5194/hess-27-1627-2023
7398. A weather pattern responsible for increasing wildfires in the western United States W. Zhang et al. https://doi.org/10.1088/1748-9326/ad928f
7399. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. https://doi.org/10.5194/acp-23-523-2023
7400. Climate-Driven Habitat Redistribution and Conservation Gaps of the Medicinal Fern Sceptridium ternatum in China J. Guo et al. https://doi.org/10.3390/biology15151268
7401. Nordic Seas Heat Loss, Atlantic Inflow, and Arctic Sea Ice Cover Over the Last Century L. Smedsrud et al. https://doi.org/10.1029/2020RG000725
7402. Importance of beginning industrial-era climate simulations in the eighteenth century A. Ballinger et al. https://doi.org/10.1088/1748-9326/ae1bbc
7403. Mixing Regimes in a Shallow Lake over the Past Five Decades: Application to Laguna Carén L. Godoy et al. https://doi.org/10.3390/w17071007
7404. Soil carbon sequestration simulated in CMIP6-LUMIP models: implications for climatic mitigation A. Ito et al. https://doi.org/10.1088/1748-9326/abc912
7405. Comparison of ground temperature and permafrost conditions in the Arctic simulated by land surface process models of different complexity J. MORI et al. https://doi.org/10.5331/bgr.23A02
7406. Monitoring, modeling, and forecasting long-term changes in coastal seawater quality due to climate change X. Guan et al. https://doi.org/10.1038/s41467-025-57913-4
7407. IPSL-Perm-LandN: improving the IPSL Earth System Model to represent permafrost carbon-nitrogen interactions R. Gaillard et al. https://doi.org/10.5194/gmd-19-661-2026
7408. Future changes in the frequency of temperature extremes may be underestimated in tropical and subtropical regions N. Freychet et al. https://doi.org/10.1038/s43247-021-00094-x
7409. Correlation Between Sea‐Level Rise and Aspects of Future Tropical Cyclone Activity in CMIP6 Models J. Lockwood et al. https://doi.org/10.1029/2021EF002462
7410. Dynamic simulation and projection of land use change using system dynamics model in the Chinese Tianshan mountainous region, central Asia Z. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2023.110564
7411. Learning about climate change solutions in the IPCC and beyond J. Minx et al. https://doi.org/10.1016/j.envsci.2017.05.014
7412. Climate change and hydropower resilience in Nepal: an integrated modeling approach in the Madi River Basin P. Pokharel & R. Regmi https://doi.org/10.2166/h2oj.2024.110
7413. Steady global surface warming from 1973 to 2022 but increased warming rate after 1990 B. Samset et al. https://doi.org/10.1038/s43247-023-01061-4
7414. Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. https://doi.org/10.5194/hess-28-3391-2024
7415. Climate Change Impacts on the Marine Cycling of Biogenic Sulfur: A Review R. Jackson & A. Gabric https://doi.org/10.3390/microorganisms10081581
7416. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. https://doi.org/10.1002/joc.7673
7417. Comparing surface wind stress and sea surface temperature biases over the tropical and subtropical oceans in subsets of CMIP6 models categorized by frozen hydrometeors-radiation interactions J. Li et al. https://doi.org/10.1088/2515-7620/ac70ac
7418. TriCCo v1.1.0 – a cubulation-based method for computing connected components on triangular grids A. Voigt et al. https://doi.org/10.5194/gmd-15-7489-2022
7419. Global distribution pattern in characteristics of gross primary productivity response to soil water availability S. Bao et al. https://doi.org/10.1016/j.agrformet.2025.110701
7420. Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States A. Wootten et al. https://doi.org/10.5194/esd-14-121-2023
7421. The extremely hot and dry 2018 summer in central and northern Europe from a multi-faceted weather and climate perspective E. Rousi et al. https://doi.org/10.5194/nhess-23-1699-2023
7422. CMIP6 Data Citation of Evolving Data M. Stockhause & M. Lautenschlager https://doi.org/10.5334/dsj-2017-030
7423. Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution S. Jiang et al. https://doi.org/10.1016/j.techfore.2021.120668
7424. Potential Impacts of Future Extreme Precipitation Changes on Flood Engineering Design Across the Contiguous United States G. Coelho et al. https://doi.org/10.1029/2021WR031432
7425. Variability of Springtime Coastal Polynyas over the Ross Sea and Its Impact on the Following Sea-Ice Evolution Z. Wei et al. https://doi.org/10.1007/s00376-025-4264-5
7426. Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé https://doi.org/10.1002/2017GL076829
7427. The Tibetan Plateau’s Looming Trade-Off Attribution and Future Trajectories of Vegetation Growth Versus Water Yield R. Kong et al. https://doi.org/10.3390/f17020181
7428. Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria A. Saman et al. https://doi.org/10.1038/s41598-026-45543-9
7429. AtmoDist: Self-supervised representation learning for atmospheric dynamics S. Hoffmann & C. Lessig https://doi.org/10.1017/eds.2023.1
7430. Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S) R. Aguayo et al. https://doi.org/10.5194/tc-18-5383-2024
7431. Optimizing cooling setpoint using adaptive thermal comfort concept for school building in desert climates under current and future climates F. Baba et al. https://doi.org/10.1108/SASBE-06-2024-0237
7432. The DWD climate predictions website: Towards a seamless outlook based on subseasonal, seasonal and decadal predictions A. Paxian et al. https://doi.org/10.1016/j.cliser.2023.100379
7433. Changes in El Niño–Southern Oscillation and global frequency entrainment T. Iwakiri & J. Kug https://doi.org/10.1038/s41467-026-74381-6
7434. Hydroclimatic sensitivity and climate-stress testing of flash droughts in China under a contemporary human-activity context B. Jiang et al. https://doi.org/10.1016/j.ancene.2026.100589
7435. Carbon Sequestration Potential of China’s Terrestrial Ecosystem Incorporating Moisture Recycling J. Nan et al. https://doi.org/10.3390/f17080977
7436. The Lack of a QBO‐MJO Connection in Climate Models With a Nudged Stratosphere Z. Martin et al. https://doi.org/10.1029/2023JD038722
7437. Out-of-phase tropical Atlantic–Pacific response after volcanic eruptions over the Last Millennium in PMIP4/past1000 simulations L. Verona et al. https://doi.org/10.1038/s41598-025-28495-4
7438. Global Climate Simulated by the Seoul National University Atmosphere Model Version 0 with a Unified Convection Scheme (SAM0-UNICON) S. Park et al. https://doi.org/10.1175/JCLI-D-18-0796.1
7439. Past and future of the Arctic sea ice in High-Resolution Model Intercomparison Project (HighResMIP) climate models J. Selivanova et al. https://doi.org/10.5194/tc-18-2739-2024
7440. Future Climate Change Increases Streamflow and Risks of Hydrological Hazards in the Pearl River Basin H. Yu et al. https://doi.org/10.3390/w18030436
7441. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. https://doi.org/10.1007/s00376-022-1360-7
7442. Sea surface warming patterns drive hydrological sensitivity uncertainties S. Zhang et al. https://doi.org/10.1038/s41558-023-01678-5
7443. The Arctic Surface Climate in CMIP6: Status and Developments since CMIP5 R. Davy & S. Outten https://doi.org/10.1175/JCLI-D-19-0990.1
7444. Non-monotonic changes in Asian Water Towers’ streamflow at increasing warming levels T. Cui et al. https://doi.org/10.1038/s41467-023-36804-6
7445. Unsupervised discovery of extreme weather events using universal representations of emergent organization A. Rupe et al. https://doi.org/10.1063/5.0267915
7446. Predicting the potential distribution of the fall armyworm Spodoptera frugiperda (J.E. Smith) under climate change in China C. Jiang et al. https://doi.org/10.1016/j.gecco.2021.e01994
7447. Performance of CMIP6 HighResMIP on the Representation of Onset and Cessation of Seasonal Rainfall in Southern West Africa F. Nkrumah et al. https://doi.org/10.3390/atmos13070999
7448. Payment for Ecosystem Services: institutional arrangements for a changing climate in the Chilean Mediterranean Region A. Ocampo-Melgar et al. https://doi.org/10.1038/s44168-024-00132-2
7449. Climate change vs. socio-economic development: understanding the future South Asian water gap R. Wijngaard et al. https://doi.org/10.5194/hess-22-6297-2018
7450. A new index used to characterise the extent of Antarctic marine coastal winds in climate projections A. Cable et al. https://doi.org/10.5194/wcd-7-247-2026
7451. Decent work in fishing in a changing climate M. Tigchelaar et al. https://doi.org/10.1016/j.marpol.2025.106846
7452. Impact of tropical seaways closure on ENSO variability during the Middle Miocene Climatic Optimum C. He et al. https://doi.org/10.1007/s00382-026-08250-9
7453. Comparative Analysis of Habitat Expansion Mechanisms for Four Invasive Amaranthaceae Plants Under Current and Future Climates Using MaxEnt M. Lin et al. https://doi.org/10.3390/plants14152363
7454. Climatically Driven Minimum of Energy Demand for Heating in Cities at the Center of the European Part of Russia G. Alexandrov https://doi.org/10.1134/S000143382006002X
7455. Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment X. Gao et al. https://doi.org/10.3390/atmos13071056
7456. Anthropogenic Fingerprint Detectable in Upper Tropospheric Ozone Trends Retrieved from Satellite X. Yu et al. https://doi.org/10.1021/acs.est.4c01289
7457. Assessing present and future vegetation dynamics on the Qinghai–Tibet Plateau using CMIP6 Earth System Models Q. Wang et al. https://doi.org/10.1016/j.eiar.2026.108725
7458. Annual Cycle of East Asian Precipitation Simulated by CMIP6 Models Y. Yan et al. https://doi.org/10.3390/atmos12010024
7459. Largely underestimated carbon emission from land use and land cover change in the conterminous United States Z. Yu et al. https://doi.org/10.1111/gcb.14768
7460. Divergent flash drought risks indicated by evaporative stress and soil moisture projections under warming scenarios D. Kim et al. https://doi.org/10.1088/1748-9326/ace921
7461. 东海模态调控全球冬季年代际气温变率 克. 方 et al. https://doi.org/10.1360/N072025-0372
7462. Multi-Decadal Variability and Future Changes in Precipitation over Southern Africa K. Lim Kam Sian et al. https://doi.org/10.3390/atmos12060742
7463. The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system E. Gerber & E. Manzini https://doi.org/10.5194/gmd-9-3413-2016
7464. Scenario-driven spatiotemporal modeling of nonlinear drought dynamics and systemic risks using CMIP6 data H. Ullah et al. https://doi.org/10.1016/j.pce.2026.104477
7465. A multi-perspective approach for selecting CMIP6 scenarios to project climate change impacts on glacio-hydrology with a case study in Upper Indus river basin M. Shafeeque & Y. Luo https://doi.org/10.1016/j.jhydrol.2021.126466
7466. Spring Arctic sea ice decline exacerbates summer extreme precipitation in central Asia and drought in northeast China L. Zhang et al. https://doi.org/10.1007/s00382-026-08058-7
7467. Highly restricted near‐surface permafrost extent during the mid-Pliocene warm period D. Guo et al. https://doi.org/10.1073/pnas.2301954120
7468. 浅谈大气科学与地质学的学科交叉 Z. Zhang et al. https://doi.org/10.3799/dqkx.2022.350
7469. Evaluating CMIP6 models for CO2 and CH4 concentrations across Africa: performance, biases, and implications for climate predictions G. Magara et al. https://doi.org/10.1007/s00382-025-07679-8
7470. Salinity data curation using CMIP6 projections and artificial neural network for the Bay of Bengal V. Kumar et al. https://doi.org/10.1080/09715010.2023.2291796
7471. Evaluation and simulation of terrestrial latent heat flux globally: A collaborative effort utilizing CMIP6 climate models and eddy covariance observations X. Tian et al. https://doi.org/10.1016/j.agrformet.2024.110371
7472. Influence of Dynamic and Thermal Effects of Asian Topography on Tropical Cyclone Activity as Simulated in a Global Climate Model J. Li https://doi.org/10.3390/atmos14050905
7473. Future changes of socioeconomic exposure to potential landslide hazards over mainland China D. Li et al. https://doi.org/10.1016/j.wace.2024.100731
7474. Madden–Julian Oscillation-induced extreme rainfalls constrained by global warming mitigation S. Liang et al. https://doi.org/10.1038/s41612-022-00291-1
7475. Sharp Increase in rapid intensification of Arabian Sea tropical cyclones over the past decade X. Li et al. https://doi.org/10.1038/s43247-025-02477-w
7476. Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia S. De Nardi et al. https://doi.org/10.3390/forecast6010006
7477. Comparative analysis of statistical downscaling methods for multi-model decadal climate predictions over Western Europe S. Moreno-Montes et al. https://doi.org/10.1016/j.cliser.2026.100639
7478. Detectable anthropogenic influence on summer compound hot events over China from 1965 to 2014 X. Wang et al. https://doi.org/10.1088/1748-9326/ac4d4e
7479. Enhanced performance of CMIP6 climate models in simulating historical precipitation in the Florida Peninsula H. Wang & T. Asefa https://doi.org/10.1002/joc.8479
7480. Long-term planning requires climate projections beyond 2100 D. Easterling et al. https://doi.org/10.1038/s41558-024-02085-0
7481. Evaluation of Climate Models Using Bergen Metrics as a Multi-Metrics Comparison over Indonesia M. Mardyanto et al. https://doi.org/10.2478/cee-2026-0107
7482. Projected Changes in Dry and Wet Conditions in the Henan Section of the Yellow River Based on the CMIP6 Multi-Model Ensemble C. Yan et al. https://doi.org/10.3390/w18111252
7483. Evaluating climate change impacts on reference evapotranspiration using CMIP6 projections and machine learning in the Aras River Basin S. Ganjei et al. https://doi.org/10.1007/s40808-025-02651-1
7484. “Infrastructural geopolitics” of climate knowledge: the Brazilian Earth System Model and the North-South knowledge divide J. Miguel et al. https://doi.org/10.1590/15174522-0215102
7485. Changes in the North Atlantic Oscillation over the 20th century S. Outten & R. Davy https://doi.org/10.5194/wcd-5-753-2024
7486. Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1 S. Taranu et al. https://doi.org/10.5194/gmd-17-7365-2024
7487. Drivers of low-frequency Sahel precipitation variability: comparing CMIP5 and CMIP6 ensemble means with observations R. Herman et al. https://doi.org/10.1007/s00382-023-06755-1
7488. Heat waves characteristics intensification across Indian smart cities M. Goyal et al. https://doi.org/10.1038/s41598-023-41968-8
7489. Long-Term Evolution of the Ozone Layer Under CMIP7 Scenarios M. Tkachenko & E. Rozanov https://doi.org/10.3390/atmos17010092
7490. Snowmelt predicts earlier breeding across the latitudinal range of an Arctic nesting seabird, the Little Auk (Alle alle) M. Syposz et al. https://doi.org/10.1111/1365-2656.70287
7491. Significant Contribution of Stratospheric Water Vapor to the Poleward Expansion of the Hadley Circulation in Autumn Under Greenhouse Warming Y. Xia et al. https://doi.org/10.1029/2021GL094008
7492. Modelled potential changes in the climate-related geographic distribution of species of the Passiflora genus in Brazil A. Porto et al. https://doi.org/10.1080/17550874.2025.2505425
7493. Do CMIP6 models capture the observed anomalous asymmetric Hadley circulation during historical El Niño decaying stage X. Ji et al. https://doi.org/10.1007/s00382-024-07149-7
7494. Global spatial distribution of Chromolaena odorata habitat under climate change: random forest modeling of one of the 100 worst invasive alien species P. Adhikari et al. https://doi.org/10.1038/s41598-023-36358-z
7495. Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. https://doi.org/10.1016/j.scitotenv.2022.154031
7496. On the Mechanism of Arctic Climate Oscillation with a Period of About 15 Years According to Data of the INM RAS Climate Model E. Volodin https://doi.org/10.1134/S0001433820020140
7497. Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (Cyclobalanopsis glauca (Thunberg) Oersted) under Climate Change Scenarios in China L. Zhang et al. https://doi.org/10.3390/f13010126
7498. It is here to stay. The exotic species Cloeon smaeleni Lestage, 1924 (Ephemeroptera) will be a long-term element of south American diversity M. Cardoso et al. https://doi.org/10.1007/s10841-024-00551-w
7499. Influence of fast ice on future ice shelf melting in the Totten Glacier area, East Antarctica G. Van Achter et al. https://doi.org/10.5194/tc-16-4745-2022
7500. Robust projections of increasing land carbon storage in boreal and temperate forests under future climate change scenarios N. Wei & J. Xia https://doi.org/10.1016/j.oneear.2023.11.013
7501. Differentiable programming for Earth system modeling M. Gelbrecht et al. https://doi.org/10.5194/gmd-16-3123-2023
7502. Coordination to Understand and Reduce Global Model Biases by U.S. and Chinese Institutions M. Zhang et al. https://doi.org/10.1175/BAMS-D-17-0301.1
7503. Rising exposure and risk from seasonal hot and cold extremes in a warming world G. Konda et al. https://doi.org/10.1007/s00382-026-08256-3
7504. Investigation of Precipitation-Based Indices in the Mazandaran Region Under Climate Scenarios of the Sixth Report R. Norooz-valashedi et al. https://doi.org/10.61186/jwmr.15.1.131
7505. Horizontal Temperature Fluxes in the Arctic in CMIP5 Model Results Analyzed with Self-Organizing Maps D. Mewes & C. Jacobi https://doi.org/10.3390/atmos11030251
7506. Long-Term Volcanic Signal in 21st-Century Climate Projections with a 25-Member Stochastic Ensemble Using SOCOL-MPIOM M. Tkachenko & E. Rozanov https://doi.org/10.3390/atmos17060577
7507. Pacific sub-decadal sea surface temperature variations contributed to recent Antarctic Sea ice decline trend Q. Wu et al. https://doi.org/10.1038/s41467-025-58788-1
7508. Exploring nonlinear drought dynamics through stress, resilience, and tipping transitions using a non-autonomous dynamical systems framework with CMIP6 projections H. Ullah et al. https://doi.org/10.1007/s00477-026-03317-9
7509. Improvement of the simulated southern hemisphere stratospheric polar vortex across series of CMIPs K. Feng et al. https://doi.org/10.1007/s00382-024-07250-x
7510. Long-term analysis of the Antarctic total ozone zonal asymmetry by MERRA-2 and CMIP6 data O. Ivaniha https://doi.org/10.33275/1727-7485.1.2020.378
7511. Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations X. Chen et al. https://doi.org/10.3389/fenvs.2024.1503141
7512. Study on the Temporal and Spatial Characteristics of Snowfall in Winter over Tibetan Plateau Based on the CMIP6 Models 瑞. 焦 https://doi.org/10.12677/OJNS.2021.95093
7513. Co-emission of volcanic sulfur and halogens amplifies volcanic effective radiative forcing J. Staunton-Sykes et al. https://doi.org/10.5194/acp-21-9009-2021
7514. Projection of a winter ice-free Barents-Kara Sea by CMIP6 models with the CCHZ-DISO method Y. Peng et al. https://doi.org/10.1016/j.atmosres.2024.107631
7515. CNN‐Based ENSO Forecasts With a Focus on SSTA Zonal Pattern and Physical Interpretation M. Sun et al. https://doi.org/10.1029/2023GL105175
7516. California margin temperatures modulate regional circulation and extreme summer precipitation in the desert Southwest T. Bhattacharya et al. https://doi.org/10.1088/1748-9326/acfd43
7517. Dakar Niño under global warming investigated by a high-resolution regionally coupled model S. Koseki et al. https://doi.org/10.5194/esd-15-1401-2024
7518. Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. https://doi.org/10.1016/j.atmosres.2023.106922
7519. European Summer Synoptic Circulations and Their Observed 2022 and Projected Influence on Hot Extremes and Dry Spells P. Herrera‐Lormendez et al. https://doi.org/10.1029/2023GL104580
7520. Unraveling the Effects of Climate Change and Human Activity on Potential Habitat Range Shifts in Four Symplocos Species in China Z. Li et al. https://doi.org/10.3390/plants14203200
7521. Drought Projections in the Northernmost Region of South America Under Different Climate Change Scenarios H. Arregocés et al. https://doi.org/10.3390/earth6040122
7522. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science C. Irrgang et al. https://doi.org/10.1038/s42256-021-00374-3
7523. Modeling the pest‐pathogen threats in a warming world for the red turpentine beetle (Dendroctonus valens) and its symbiotic fungus (Leptographium procerum) Y. Zhou et al. https://doi.org/10.1002/ps.8046
7524. Multi-criteria evaluation and ranking of climate models under SSP scenarios using performance indicators for improved climate projection reliability in Punjab, India J. Singh et al. https://doi.org/10.1007/s11600-026-01967-5
7525. Global decline in ocean memory over the 21st century H. Shi et al. https://doi.org/10.1126/sciadv.abm3468
7526. Attribution of the record-breaking February 2022 compound wet and cold event over Southern China W. Li et al. https://doi.org/10.1088/1748-9326/ae6fd1
7527. Human influence on growing-period frosts like in early April 2021 in central France R. Vautard et al. https://doi.org/10.5194/nhess-23-1045-2023
7528. Thermal sensitivity of field metabolic rate predicts differential futures for bluefin tuna juveniles across the Atlantic Ocean C. Trueman et al. https://doi.org/10.1038/s41467-023-41930-2
7529. Diurnal cycle of precipitation over global monsoon systems in CMIP6 simulations C. Tao et al. https://doi.org/10.1007/s00382-022-06546-0
7530. Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere H. Bowman et al. https://doi.org/10.5194/acp-22-3507-2022
7531. A substantial reduction of total and group-specific population risk to compound heat and drought events in China through achieving carbon neutrality J. Chen et al. https://doi.org/10.1016/j.jclepro.2025.144694
7532. Unraveling sub-seasonal precipitation variability in the Middle East via Indian Ocean sea surface temperature A. Hochman et al. https://doi.org/10.1038/s41598-024-53677-x
7533. A Southern moisture pathway accelerates wetting of the Tibetan Plateau F. Cai & X. Jiang https://doi.org/10.1088/1748-9326/ae798d
7534. Effect of Plankton Composition Shifts in the North Atlantic on Atmospheric pCO2 A. Boot et al. https://doi.org/10.1029/2022GL100230
7535. Weakened influence of ENSO on the East Asian summer monsoon since the early 2000s T. Yu et al. https://doi.org/10.1038/s41612-025-00983-4
7536. Evaluation of Climate Change Impacts on Maize and Cotton Yields Under Different Climate Scenarios in Kırıkhan District, Türkiye M. Ozbuldu & A. Irvem https://doi.org/10.1007/s42106-024-00320-4
7537. Hexagonal discrete global grid system enhances model latitudinal spatial generalization and deep learning capabilities K. Li & J. Wang https://doi.org/10.1080/20964471.2026.2666953
7538. An NAO-dominated mode of atmospheric circulation drives large decadal changes in wintertime surface climate and snow mass over Eurasia K. Ye et al. https://doi.org/10.1088/1748-9326/ac592f
7539. Climate Change Impacts on the Availability of Anti-malarial Plants in Kenya D. Gafna et al. https://doi.org/10.1016/j.ecochg.2023.100070
7540. Humans drive future water scarcity changes across all Shared Socioeconomic Pathways N. Graham et al. https://doi.org/10.1088/1748-9326/ab639b
7541. Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jet J. Wimhurst & J. Greene https://doi.org/10.1016/j.rser.2019.109374
7542. Integration of Satellite-Derived Meteorological Inputs into SWAT, XGBoost, WGAN, and Hybrid Modelling Frameworks for Climate Change-Driven Streamflow Simulation in a Data-Scarce Region S. Yeşilyurt & G. Onuşluel Gül https://doi.org/10.3390/w18020239
7543. Assessing and predicting soil carbon density in China using CMIP5 earth system models L. Qiu et al. https://doi.org/10.1016/j.scitotenv.2021.149247
7544. CMIP7 data request: Earth system priorities and opportunities M. McPartland et al. https://doi.org/10.5194/gmd-19-2849-2026
7545. Projection of surface air temperature and precipitation in High Mountain Asia and its major upstream river basins through multi-model ensemble from CMIP6 S. Wang et al. https://doi.org/10.1007/s11629-025-9969-5
7546. Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. https://doi.org/10.1029/2020GL092064
7547. Greater committed warming after accounting for the pattern effect C. Zhou et al. https://doi.org/10.1038/s41558-020-00955-x
7548. Northwestward shift of the northern boundary of the East Asian summer monsoon during the mid-Holocene caused by orbital forcing and vegetation feedbacks J. Chen et al. https://doi.org/10.1016/j.quascirev.2021.107136
7549. Historical and future weather data for dynamic building simulations in Belgium using the regional climate model MAR: typical and extreme meteorological year and heatwaves S. Doutreloup et al. https://doi.org/10.5194/essd-14-3039-2022
7550. Global Precipitation for the Year 2023 and How It Relates to Longer Term Variations and Trends R. Adler & G. Gu https://doi.org/10.3390/atmos15050535
7551. The physics of climate variability and climate change M. Ghil & V. Lucarini https://doi.org/10.1103/RevModPhys.92.035002
7552. An energy budget approach to understand the Arctic warming during the Last Interglacial M. Sicard et al. https://doi.org/10.5194/cp-18-607-2022
7553. The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models A. Zhao et al. https://doi.org/10.5194/acp-24-13385-2024
7554. The Climatic Analysis of Summer Monsoon Extreme Precipitation Events over West Africa in CMIP6 Simulations N. Klutse et al. https://doi.org/10.1007/s41748-021-00203-y
7555. On the assessment of the wave modeling uncertainty in wave climate projections H. Lobeto et al. https://doi.org/10.1088/1748-9326/ad0137
7556. TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets P. Ullrich et al. https://doi.org/10.5194/gmd-14-5023-2021
7557. Modulation of the Eastern Equatorial Pacific Seasonal Cycle by Tropical Instability Waves L. Maillard et al. https://doi.org/10.1029/2022GL100991
7558. Thermodynamic and hydrological drivers of the soil and bedrock thermal regimes in central Spain F. García-Pereira et al. https://doi.org/10.5194/soil-10-1-2024
7559. Genetic diversity and environmental adaptation in Ethiopian tef K. Hein et al. https://doi.org/10.1093/g3journal/jkae303
7560. CMIP6 simulations of GPP growth satisfy the constraint imposed by increasing CO2 seasonal-cycle amplitude G. Alexandrov https://doi.org/10.1088/1755-1315/606/1/012003
7561. Countries most exposed to individual and concurrent extremes and near-permanent extreme conditions at different global warming levels F. Batibeniz et al. https://doi.org/10.5194/esd-14-485-2023
7562. Systematic attribution of heatwaves to the emissions of carbon majors Y. Quilcaille et al. https://doi.org/10.1038/s41586-025-09450-9
7563. Simple Global Ocean Biogeochemistry With Light, Iron, Nutrients and Gas Version 2 (BLINGv2): Model Description and Simulation Characteristics in GFDL's CM4.0 J. Dunne et al. https://doi.org/10.1029/2019MS002008
7564. Severe reduction in spawning days and larval abundance of walleye pollock under future warming in the western East/Japan Sea Y. Kim et al. https://doi.org/10.1088/2515-7620/ad3267
7565. Sensitivity to forecast surface mass balance outweighs sensitivity to basal sliding descriptions for 21st century mass loss from three major Greenland outlet glaciers J. Carr et al. https://doi.org/10.5194/tc-18-2719-2024
7566. Impact of the subtropical South Pacific on the decadal change in El Niño zonal propagation J. Zheng et al. https://doi.org/10.1007/s00382-024-07131-3
7567. Evaluation and selection of CMIP6 climate models in Upper Awash Basin (UBA), Ethiopia S. Gebresellase et al. https://doi.org/10.1007/s00704-022-04056-x
7568. Fast-get-faster explains wavier upper-level jet stream under climate change T. Shaw et al. https://doi.org/10.1038/s43247-024-01819-4
7569. Transitions of the Atlantic Ocean circulation H. Dijkstra et al. https://doi.org/10.1038/s42254-026-00945-6
7570. Forecasting the groundwater levels in the Baltic through standardized index analysis A. Babre et al. https://doi.org/10.1016/j.wace.2024.100728
7571. Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake A. Schnepf et al. https://doi.org/10.3389/fpls.2020.00316
7572. The phase change in the annual cycle of sea surface temperature F. Yang & Z. Wu https://doi.org/10.1038/s41612-024-00591-8
7573. On Tanzania’s Precipitation Climatology, Variability, and Future Projection K. Borhara et al. https://doi.org/10.3390/cli8020034
7574. Emerging global risks of extreme rain-on-snow events under climate warming K. Hu et al. https://doi.org/10.1016/j.jhydrol.2026.135651
7575. Performance evaluation of CMIP6 GCMs for the projections of precipitation extremes in Pakistan Z. Ali et al. https://doi.org/10.1007/s00382-023-06831-6
7576. The Role of Underlying Boundary Forcing in Shaping the Recent Decadal Change of Persistent Anomalous Activity over the Ural Mountains T. Lei & S. Li https://doi.org/10.1007/s00376-023-2365-6
7577. Uncertainty in carbon budget estimates due to internal climate variability K. Tokarska et al. https://doi.org/10.1088/1748-9326/abaf1b
7578. Climate change reduces frost exposure for high-value California orchard crops L. Parker et al. https://doi.org/10.1016/j.scitotenv.2020.143971
7579. Human Activities and Climate Separately Influence the Global Dispersal and Colonization Potential of Lantana camara L. H. Guo et al. https://doi.org/10.3390/biology15100775
7580. Facets of the tropical high-cloud feedback in a global storm-resolving model J. Deutloff et al. https://doi.org/10.1038/s41612-026-01463-z
7581. Permafrost degradation: A critical driver of aboveground carbon sink loss in China's boreal forests H. Yang et al. https://doi.org/10.1016/j.catena.2026.109912
7582. Evapotranspiration in the Amazon: spatial patterns, seasonality, and recent trends in observations, reanalysis, and climate models J. Baker et al. https://doi.org/10.5194/hess-25-2279-2021
7583. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect S. Fiedler et al. https://doi.org/10.5194/gmd-12-989-2019
7584. The competition between anthropogenic aerosol and greenhouse gas climate forcing is revealed by North Pacific water-mass changes J. Shi et al. https://doi.org/10.1126/sciadv.adh7746
7585. Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity H. Yang et al. https://doi.org/10.3390/rs16193708
7586. Influence of groundwater recharge projections on climate-driven subsurface warming: insights from numerical modeling M. Tsypin et al. https://doi.org/10.5194/hess-30-1647-2026
7587. CMIP6 data usage: lessons learned from more than 200 million downloads J. Lavoie et al. https://doi.org/10.5194/gmd-19-8977-2026
7588. Recent heatwaves as a prelude to climate extremes in the western Mediterranean region E. Tejedor et al. https://doi.org/10.1038/s41612-024-00771-6
7589. Climatology and trends of wintertime diurnal temperature range over East Asia in CMIP6 models: Evaluation and attribution L. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106438
7590. Increased multi-year La Niña since 1960s driven by internal climate variability S. Liu et al. https://doi.org/10.1038/s41612-025-00994-1
7591. Projections of future climates: exploring temperature and precipitation patterns in Iran’s coastal regions with MPI-ESM1.2-HR F. Shahrezaei et al. https://doi.org/10.1007/s12040-026-02738-y
7592. Climate change scenario services: From science to facilitating action C. Auer et al. https://doi.org/10.1016/j.oneear.2021.07.015
7593. Maximizing photovoltaic potential and minimizing costs in a future warmer climate: The role of atmospheric aerosols and greenhouse gas emissions A. Isaza et al. https://doi.org/10.1016/j.renene.2023.119561
7594. Recent decreases in domestic energy consumption in the United Kingdom attributed to human influence on the climate N. Christidis et al. https://doi.org/10.1002/asl.1062
7595. Asymmetric penalties underlie proper loss functions in probabilistic forecasting E. Buchweitz et al. https://doi.org/10.1093/biomet/asag042
7596. Inequality in human exposure to future climate extremes P. Hosseinzadehtalaei et al. https://doi.org/10.1038/s41467-025-63385-3
7597. CMIP6 Earth System Models Project Greater Acceleration of Climate Zone Change Due To Stronger Warming Rates A. Bayar et al. https://doi.org/10.1029/2022EF002972
7598. Automatic mapping of urban heat islands based on high-resolution climate simulations with application to French cities G. Quenum et al. https://doi.org/10.1016/j.uclim.2026.103117
7599. North Pacific trade wind precursors to ENSO in the CMIP6 HighResMIP multimodel ensemble V. Pivotti et al. https://doi.org/10.1007/s00382-022-06449-0
7600. Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li https://doi.org/10.1002/joc.7559
7601. Observational Assessment of Changes in Earth’s Energy Imbalance Since 2000 N. Loeb et al. https://doi.org/10.1007/s10712-024-09838-8
7602. Assessing the performance of detection and attribution simulations with the CAS-GAMIL3.0 model L. Zhang et al. https://doi.org/10.1016/j.accre.2026.08.004
7603. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model M. Yue et al. https://doi.org/10.1029/2023JD039130
7604. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. https://doi.org/10.1002/joc.8131
7605. Climate-Driven Amplification of Natural Crustal Dust Emission in China: A Quantitative Assessment for Mid-21st Century Scenarios L. Song et al. https://doi.org/10.1021/acsestair.5c00402
7606. Oceanic and Atmospheric Drivers of Post‐El‐Niño Chlorophyll Rebound in the Equatorial Pacific H. Lim et al. https://doi.org/10.1029/2021GL096113
7607. Temperature sensitivity of the mineral permafrost feedback at the continental scale E. Walsh et al. https://doi.org/10.1126/sciadv.adq4893
7608. Advanced Deep Learning Combined with Contribution Analysis for Interpretable ENSO Forecasting J. Tang et al. https://doi.org/10.3390/jmse14090806
7609. Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models S. Liu et al. https://doi.org/10.1029/2023JD039737
7610. An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. https://doi.org/10.1007/s13131-021-1705-6
7611. Generation of westerly wind bursts by forcing outside the tropics A. Sullivan et al. https://doi.org/10.1038/s41598-020-79655-7
7612. Quantifying the Occurrence of Record Hot Years Through Normalized Warming Trends X. Zeng et al. https://doi.org/10.1029/2020GL091626
7613. A Study of AR-, TS-, and MCS-Associated Precipitation and Extreme Precipitation in Present and Warmer Climates M. Zhao https://doi.org/10.1175/JCLI-D-21-0145.1
7614. Antarctic sea ice multidecadal variability triggered by Southern Annular Mode and deep convection Y. Morioka et al. https://doi.org/10.1038/s43247-024-01783-z
7615. Butterfly effect and a self-modulating El Niño response to global warming W. Cai et al. https://doi.org/10.1038/s41586-020-2641-x
7616. The effects of anthropogenic and volcanic aerosols and greenhouse gases on twentieth century Sahel precipitation R. Herman et al. https://doi.org/10.1038/s41598-020-68356-w
7617. Evaluation of daily precipitation modeling performance from different CMIP6 datasets: A case study in the Hanjiang River basin D. Pengxin et al. https://doi.org/10.1016/j.asr.2024.07.045
7618. Floods across the eastern United States are projected to last longer H. Kim & G. Villarini https://doi.org/10.1038/s44304-024-00021-y
7619. Effects of global ocean warming and heatwaves on thermal safety margins of marine predator life stages M. Hammond et al. https://doi.org/10.1093/icesjms/fsag121
7620. Robust increase in population exposure to heat stress with increasing global warming N. Freychet et al. https://doi.org/10.1088/1748-9326/ac71b9
7621. Record-breaking western North Pacific subtropical high during 2023 Z. Wu et al. https://doi.org/10.1016/j.gr.2025.10.001
7622. Pervasive alterations to snow-dominated ecosystem functions under climate change W. Wieder et al. https://doi.org/10.1073/pnas.2202393119
7623. Irrigation and hydrometeorological extremes P. de Vrese & T. Stacke https://doi.org/10.1007/s00382-020-05337-9
7624. Overshooting the critical threshold for the Greenland ice sheet N. Bochow et al. https://doi.org/10.1038/s41586-023-06503-9
7625. Assessment of the tropical cyclone-induced risk on offshore wind turbines under climate change Z. Wen et al. https://doi.org/10.1007/s11069-023-06390-3
7626. The roles of the Quasi-Biennial Oscillation and El Niño for entry stratospheric water vapor in observations and coupled chemistry–ocean CCMI and CMIP6 models S. Ziskin Ziv et al. https://doi.org/10.5194/acp-22-7523-2022
7627. Promoting reproducibility and increased collaboration in electric sector capacity expansion models with community benchmarking and intercomparison efforts C. Henry et al. https://doi.org/10.1016/j.apenergy.2021.117745
7628. Land use change impacts on climate extremes over the historical period M. Zhang et al. https://doi.org/10.1007/s00382-024-07375-z
7629. Ozone Variation Trends under Different CMIP6 Scenarios L. Shang et al. https://doi.org/10.3390/atmos12010112
7630. Federated and reusable processing of Earth observation data M. Mohr et al. https://doi.org/10.1038/s41597-025-04513-y
7631. Nitrogen deposition outweighs climatic variability in driving annual growth rate of canopy beech trees: Evidence from long‐term growth reconstruction across a geographic gradient T. Gentilesca et al. https://doi.org/10.1111/gcb.14142
7632. Growing human-induced climate change fingerprint in regional weekly fire extremes S. Feng et al. https://doi.org/10.1038/s41612-025-01021-z
7633. Evaluation of CMIP6 Global Climate Models for Simulating Land Surface Energy and Water Fluxes During 1979–2014 J. Li et al. https://doi.org/10.1029/2021MS002515
7634. Global wind energy resources decline under climate change A. Martinez & G. Iglesias https://doi.org/10.1016/j.energy.2023.129765
7635. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. https://doi.org/10.5194/acp-20-16023-2020
7636. Increasing impacts of summer extreme precipitation and heatwaves in eastern China Y. Yao et al. https://doi.org/10.1007/s10584-023-03610-4
7637. An estimate of global cardiovascular mortality burden attributable to ambient ozone exposure reveals urban-rural environmental injustice H. Sun et al. https://doi.org/10.1016/j.oneear.2024.08.018
7638. Reduced Tropical Climate Land Area Under Global Warming O. Adam et al. https://doi.org/10.1029/2022GL102546
7639. Surface Air Temperature Trend Over the Tibetan Plateau in CMIP6 and Its Constraint in Future Projection J. Zhang et al. https://doi.org/10.1029/2023JD039527
7640. Agricultural risk assessment of compound dry and hot events in China Y. Zhang et al. https://doi.org/10.1016/j.agwat.2022.108128
7641. Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times A. Cauquoin et al. https://doi.org/10.1007/s11356-025-35919-1
7642. High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 R. Haarsma et al. https://doi.org/10.5194/gmd-9-4185-2016
7643. Evaluation of CMIP6 precipitation simulations across different climatic zones: Uncertainty and model intercomparison F. Yazdandoost et al. https://doi.org/10.1016/j.atmosres.2020.105369
7644. Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6 X. Zheng et al. https://doi.org/10.5194/gmd-15-3941-2022
7645. Assessing the Impact of Stratospheric Aerosol Injection on US Convective Weather Environments I. Glade et al. https://doi.org/10.1029/2023EF004041
7646. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. https://doi.org/10.5194/gmd-15-5371-2022
7647. Evaluation and comparison of the performances of the CMIP5 and CMIP6 models in reproducing extreme rainfall in the Upper Blue Nile basin of Ethiopia H. Belay et al. https://doi.org/10.1007/s00704-024-05187-z
7648. Net greenhouse gas balance in U.S. croplands: How can soils be part of the climate solution? Y. You et al. https://doi.org/10.1111/gcb.17109
7649. The quiet crossing of ocean tipping points C. Heinze et al. https://doi.org/10.1073/pnas.2008478118
7650. Neglecting land–atmosphere feedbacks overestimates climate-driven increases in evapotranspiration S. Zhou & B. Yu https://doi.org/10.1038/s41558-025-02428-5
7651. Projected Reorganization of Euro-Mediterranean Bioclimates under Climate Change: Evidence from CMIP6 Multi-model Ensemble G. Ferreiro-Lera et al. https://doi.org/10.1007/s41748-026-01145-z
7652. Recent Enhancement in Co-Variability of the Western North Pacific Summer Monsoon and the Equatorial Zonal Wind M. Wu et al. https://doi.org/10.1007/s00376-023-2215-6
7653. National climate change impact assessments underestimate the potential of autonomous adaptation J. Arbelaez-Gaviria et al. https://doi.org/10.1007/s10113-026-02521-1
7654. North Atlantic jet stream projections in the context of the past 1,250 years M. Osman et al. https://doi.org/10.1073/pnas.2104105118
7655. Keeping science on keel when software moves D. Ahn et al. https://doi.org/10.1145/3382037
7656. Extreme Water Vapor Transport During the March 2021 Sydney Floods in the Context of Climate Projections K. Reid et al. https://doi.org/10.1029/2021GL095335
7657. Variability of the Pacific subtropical cells under global warming in CMIP6 models X. Han et al. https://doi.org/10.1007/s00343-023-2315-2
7658. Where and how to conserve butterflies amid climate change: a model-based approach on Papilio alexanor L. Anselmo et al. https://doi.org/10.1007/s10531-025-03170-2
7659. A Comprehensive Assessment of Meteorological and Hydrological Drought Under Climate Change over the Upper Baro Watershed S. Wondimu https://doi.org/10.11648/j.earth.20251404.11
7660. CMIP6 projected trend of winter and summer variation in Arctic cyclones over the 21st century J. Song et al. https://doi.org/10.1007/s00382-024-07531-5
7661. Investigation of Added Value in Regional Climate Models for East Asian Storm Track Analysis U. Byun et al. https://doi.org/10.1029/2023JD039167
7662. Update of the Köppen–Geiger climate classification for EFSA PLH risk assessment E. Rossi et al. https://doi.org/10.2903/j.efsa.2026.9859
7663. Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6 H. Zhu et al. https://doi.org/10.1016/j.scib.2021.07.026
7664. Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models M. Ahn et al. https://doi.org/10.5194/gmd-16-3927-2023
7665. Climate impacts of the El Niño–Southern Oscillation in Africa W. Cai et al. https://doi.org/10.1038/s43017-025-00705-7
7666. Anthropogenic global warming increases the risk of record-breaking extreme precipitation events in low-income countries L. Nguyen et al. https://doi.org/10.1038/s43247-026-03649-y
7667. Severe Cold Winter in North America Linked to Bering Sea Ice Loss M. Iida et al. https://doi.org/10.1175/JCLI-D-19-0994.1
7668. Developing a Database of Hydrological, Meteorological, and Physiographic Characteristics for River Catchments of the Russian Federation D. Abramov et al. https://doi.org/10.3103/S1068373926030052
7669. Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response Z. Nicholls et al. https://doi.org/10.5194/gmd-13-5175-2020
7670. Warming Climate and Elevated CO2 Will Enhance Future Winter Wheat Yields in North China Region M. Shoukat et al. https://doi.org/10.3390/atmos13081275
7671. A revised temperature-dependent remineralization scheme for the Community Earth System Model (v1.2.2) E. Brabson et al. https://doi.org/10.5194/gmd-19-1143-2026
7672. Space-time variability modelling of landslide susceptibility for strategic infrastructure under changing climate scenarios: The case study of the mega clean energy transmission network (Yangtze River Basin, China) B. Jin et al. https://doi.org/10.1016/j.enggeo.2026.108738
7673. Accelerated Greenland Ice Sheet Mass Loss Under High Greenhouse Gas Forcing as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. https://doi.org/10.1029/2019MS002031
7674. Effects of extreme heat on vegetation carbon sequestration in the Yellow River Basin G. Dong et al. https://doi.org/10.1007/s11430-024-1712-8
7675. Are the Different Eddy Metrics Quantifying the Winter North Pacific Storm Track Consistent With Each Other? M. Yang et al. https://doi.org/10.1029/2021JD034979
7676. Tropical convection regimes in climate models: evaluation with satellite observations A. Steiner et al. https://doi.org/10.5194/acp-18-4657-2018
7677. Enhanced North Pacific impact on El Niño/Southern Oscillation under greenhouse warming F. Jia et al. https://doi.org/10.1038/s41558-021-01139-x
7678. Heatwave magnitude impact over Indian cities: CMIP 6 projections M. Goyal et al. https://doi.org/10.1007/s00704-023-04599-7
7679. Turbulent isopycnal mixing dominates thermohaline transformations of intermediate ocean waters F. Sévellec et al. https://doi.org/10.1038/s41467-025-64806-z
7680. Projections of moisture conditions in the Sevastopol region for grapes growing E. Vyshkvarkova et al. https://doi.org/10.22363/2313-2310-2022-30-3-300-311
7681. Improvements in the relationship between tropical precipitation and sea surface temperature from CMIP5 to CMIP6 X. Yang & P. Huang https://doi.org/10.1007/s00382-022-06519-3
7682. Evaluation of climate model aerosol trends with ground-based observations over the last 2 decades – an AeroCom and CMIP6 analysis A. Mortier et al. https://doi.org/10.5194/acp-20-13355-2020
7683. Response of Western North Pacific Anomalous Anticyclones in the Summer of Decaying El Niño to Global Warming: Diverse Projections Based on CMIP6 and CMIP5 Models https://doi.org/10.1175/JCLI-D-21-0352.1
7684. Analysis on spatiotemporal evolution and meteorological driving factors of future meteorological drought in Northwest China based on CMIP6 J. Shan et al. https://doi.org/10.1016/j.ejrh.2025.102513
7685. Increasing Importance of Local Hydroclimatology During the Tundra Growing Season in the Yukon–Kuskokwim Delta A. Hendricks et al. https://doi.org/10.3390/w17010090
7686. Simulated methane emissions from Arctic ponds are highly sensitive to warming Z. Rehder et al. https://doi.org/10.5194/bg-20-2837-2023
7687. Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields Under Climate Change M. Zachariah et al. https://doi.org/10.1029/2021GL094702
7688. Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM) J. Contzen et al. https://doi.org/10.5194/gmd-15-1803-2022
7689. Evaluating the performance of CMIP6 models in the Southern Temperate Zone with a multivariable integrated evaluation method X. Pan et al. https://doi.org/10.3389/fmars.2025.1651187
7690. IPCC baseline scenarios have over-projected CO2 emissions and economic growth M. Burgess et al. https://doi.org/10.1088/1748-9326/abcdd2
7691. Assessing resolution sensitivity in coupled climate simulations with AWI-CM3 M. Zapponini et al. https://doi.org/10.5194/gmd-19-3395-2026
7692. Removing the Effects of Tropical Dynamics from North Pacific Climate Variability Y. Zhao et al. https://doi.org/10.1175/JCLI-D-21-0344.1
7693. Tropospheric ozone changes and ozone sensitivity from the present day to the future under shared socio-economic pathways Z. Liu et al. https://doi.org/10.5194/acp-22-1209-2022
7694. Accounting for moist processes in a sub‐grid orographic drag scheme S. Smith https://doi.org/10.1002/qj.4013
7695. When cities overheat: Urban heat exposure under the Swiss Climate CH2025 Scenarios A. Senoner et al. https://doi.org/10.1016/j.cacint.2026.100385
7696. Why Does the Ensemble Mean of CMIP6 Models Simulate Arctic Temperature More Accurately Than Global Temperature? P. Chylek et al. https://doi.org/10.3390/atmos15050567
7697. Comparison of CMIP5 and CMIP6 Multi-Model Ensemble for Precipitation Downscaling Results and Observational Data: The Case of Hanjiang River Basin D. Wang et al. https://doi.org/10.3390/atmos12070867
7698. Extremely persistent precipitation events during April–June 2022 in the southern China: projected changes at different global warming levels and associated physical processes B. Sheng et al. https://doi.org/10.1007/s00382-025-07644-5
7699. Projections of Future Sea Level Contributions from the Greenland and Antarctic Ice Sheets: Challenges Beyond Dynamical Ice Sheet Modeling S. Nowicki & H. Seroussi https://doi.org/10.5670/oceanog.2018.216
7700. Insights of aerosol-precipitation nexus in the central Arctic through CMIP6 climate models B. Swain et al. https://doi.org/10.1038/s41612-025-00957-6
7701. Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0 T. Maki et al. https://doi.org/10.2151/sola.2022-035
7702. Climate-driven spatiotemporal evolution of China's inland wetlands from 2000 to 2100 A. Li et al. https://doi.org/10.1016/j.eiar.2026.108658
7703. Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. https://doi.org/10.1088/1748-9326/aca68d
7704. A novel data-driven dynamical model for predicting future climate trends F. Ochieng https://doi.org/10.1007/s40808-024-02021-3
7705. Diminishing seasonality of subtropical water availability in a warmer world dominated by soil moisture–atmosphere feedbacks S. Zhou et al. https://doi.org/10.1038/s41467-022-33473-9
7706. Influence of the Interdecadal Pacific Oscillation on South Asian and East Asian summer monsoon rainfall in CMIP6 models V. Chinta et al. https://doi.org/10.1007/s00382-021-05992-6
7707. Long‐Term Climate Simulations Using the IITM Earth System Model (IITM‐ESMv2) With Focus on the South Asian Monsoon P. Swapna et al. https://doi.org/10.1029/2017MS001262
7708. Mean‐State Dependence of CO2‐Forced Tropical Atlantic Sector Climate Change A. Imbol Nkwinkwa et al. https://doi.org/10.1029/2021GL093803
7709. The Seasonal-to-Multiyear Large Ensemble (SMYLE) prediction system using the Community Earth System Model version 2 S. Yeager et al. https://doi.org/10.5194/gmd-15-6451-2022
7710. Evaluation of Dynamically Downscaled CMIP6‐CCAM Models Over Australia S. Chapman et al. https://doi.org/10.1029/2023EF003548
7711. Rapid subsurface warming in the subpolar North Atlantic from freshening L. Menviel et al. https://doi.org/10.1038/s41467-026-70635-5
7712. Extending the global high-resolution downscaled projections dataset to include CMIP6 projections at increased resolution coherent with the ERA5-Land reanalysis T. Noël et al. https://doi.org/10.1016/j.dib.2022.108669
7713. Forest-savanna stability in India under human interventions and changing climate N. Dubey et al. https://doi.org/10.1038/s43247-025-03076-5
7714. Roles of Meridional Overturning in Subpolar Southern Ocean SST Trends: Insights from Ensemble Simulations L. Zhang et al. https://doi.org/10.1175/JCLI-D-21-0466.1
7715. Decadal predictions of wind, solar and compound power indicators to support the European renewable energy sector S. Moreno-Montes et al. https://doi.org/10.5194/esd-17-1435-2026
7716. ISMIP6-based projections of ocean-forced Antarctic Ice Sheet evolution using the Community Ice Sheet Model W. Lipscomb et al. https://doi.org/10.5194/tc-15-633-2021
7717. Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea T. Vo et al. https://doi.org/10.1007/s00477-024-02664-9
7718. Advancing interpretability of machine-learning prediction models L. Trenary & T. DelSole https://doi.org/10.1017/eds.2022.13
7719. Mid-holocene changes in the global ITCZ: meridional structure and land–sea rainfall differences J. Bian & J. Räisänen https://doi.org/10.1007/s00382-024-07470-1
7720. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac https://doi.org/10.5194/nhess-23-21-2023
7721. Future population transgress climatic risk boundaries of extreme temperature and precipitation T. Sano & T. Oki https://doi.org/10.1088/2515-7620/ac85a1
7722. Tropical and subtropical Asia's valued tree species under threat H. Gaisberger et al. https://doi.org/10.1111/cobi.13873
7723. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. https://doi.org/10.1029/2020MS002126
7724. Anthropogenic fingerprints in daily precipitation revealed by deep learning Y. Ham et al. https://doi.org/10.1038/s41586-023-06474-x
7725. Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains C. Lin et al. https://doi.org/10.5194/esd-13-1197-2022
7726. Assessment of Future Typhoon Rainfall and Equivalent Rainfall Return Periods Based on the WRF-PGW Method H. Li et al. https://doi.org/10.3390/app16125914
7727. Shutdown of northern Atlantic overturning after 2100 following deep mixing collapse in CMIP6 projections S. Drijfhout et al. https://doi.org/10.1088/1748-9326/adfa3b
7728. Toward Consistent Observational Constraints in Climate Predictions and Projections G. Hegerl et al. https://doi.org/10.3389/fclim.2021.678109
7729. Causal Relationships Between Climate and the Carbon Cycle Considering Natural Climate Variability and Economic Cyclicity of Anthropogenic Greenhouse Gas Emissions into the Atmosphere K. Muryshev et al. https://doi.org/10.55959/MSU0579-9392.80.2540902
7730. Climate impacts of 2009/2010 mixed-type El Niño on double ITCZs over the eastern Pacific Ocean Y. Chen et al. https://doi.org/10.3389/fmars.2023.1114809
7731. A spatial emergent constraint on the sensitivity of soil carbon turnover to global warming R. Varney et al. https://doi.org/10.1038/s41467-020-19208-8
7732. Management options for dry bean (Phaseolus vulgaris L.) under the projected climate change in the semi-arid areas of eastern Amhara, Northeastern Ethiopia M. Kebede et al. https://doi.org/10.1016/j.jafr.2025.102375
7733. Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation J. Pianezze et al. https://doi.org/10.5194/nhess-22-1301-2022
7734. Principle-based adept predictions of global warming from climate mean states M. Cai et al. https://doi.org/10.1093/nsr/nwae442
7735. Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation M. Wehner et al. https://doi.org/10.1016/j.wace.2020.100283
7736. Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming R. Flach et al. https://doi.org/10.1016/j.worlddev.2021.105582
7737. Atmospheric black carbon in the climate system Ö. Gustafsson et al. https://doi.org/10.1038/s43017-026-00773-3
7738. Unprecedented September Heatwave in the Yangtze River Basin in 2024 and the Great Exposure Risk to School Students X. Tiejun et al. https://doi.org/10.1002/asl.1300
7739. Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) J. Orr et al. https://doi.org/10.5194/gmd-10-2169-2017
7740. Why the relational data model matters for climate data management E. Cimadevilla https://doi.org/10.1016/j.cageo.2025.105931
7741. Projections of future precipitation and air temperature over the Tibetan Plateau based on Coupled Model Intercomparison Project Phase 6 multimodel ensembles W. Zhang et al. https://doi.org/10.1002/joc.7865
7742. 21st Century Global and Regional Surface Temperature Projections N. Ma et al. https://doi.org/10.1029/2022EA002662
7743. Persistent anomalies of the North Atlantic jet stream and associated surface extremes over Europe V. Galfi & G. Messori https://doi.org/10.1088/1748-9326/acaedf
7744. Identifying source of predictability for vapor pressure deficit variability in the southwestern United States J. Lou et al. https://doi.org/10.1038/s41612-025-01028-6
7745. The impacts of global warming on arid climate and drought features J. Kim et al. https://doi.org/10.1007/s00704-022-04348-2
7746. Newly dated permafrost deposits and their paleoecological inventory reveal an Eemian much warmer than today in Arctic Siberia L. Schirrmeister et al. https://doi.org/10.5194/cp-21-1143-2025
7747. Adaptation Strategies for Mitigating Climate Change Impacts on Hydropower Generation in the Naumure Multipurpose Project (NMP) Located in the West Rapti River Basin, Nepal S. Kunwar et al. https://doi.org/10.1007/s41748-026-01184-6
7748. Multi‐model ensemble of CMIP6 projections for future extreme climate stress on wheat in the North China plain H. Bai et al. https://doi.org/10.1002/joc.6674
7749. California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. https://doi.org/10.5194/acp-24-6937-2024
7750. Analysis of the Atmosphere and the Ocean Upper Layer State Predictability for up to 5 Years Ahead Using the INMCM5 Climate Model Hindcasts V. Vorobeva et al. https://doi.org/10.3103/S106837392307004X
7751. Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models M. Vichi et al. https://doi.org/10.1088/2752-5295/add614
7752. Stratospheric precursor induces wintertime phase reversal of the “warm Arctic-cold Eurasia” pattern Y. Zhang et al. https://doi.org/10.1038/s41467-026-70100-3
7753. Anthropogenic warming is accelerating recent heatwaves in Africa V. Bobde et al. https://doi.org/10.1038/s43247-025-02578-6
7754. Historical Changes in Surface Soil Moisture Over the Contiguous United States: An Assessment of CMIP6 S. Yuan et al. https://doi.org/10.1029/2020GL089991
7755. Analysis and prediction of marine heatwaves in the Western North Pacific and Chinese coastal region Y. Yang et al. https://doi.org/10.3389/fmars.2022.1048557
7756. Indian Ocean Dipole Changes During the Last Interglacial Modulated by the Mean Oceanic Climatology S. Liu et al. https://doi.org/10.1029/2023GL106153
7757. Toward Regularized Optimal Fingerprinting in Detection and Attribution of Extreme Temperature Changes in South China 诗. 熊 https://doi.org/10.12677/sa.2026.155110
7758. Predicting the potential distribution of Atractylodes lancea in China under CMIP6 climate scenarios using an optimized MaxEnt model Y. Sun et al. https://doi.org/10.3389/fpls.2026.1881018
7759. Predictive Skill Assessment for Land Water Storage in CMIP5 Decadal Hindcasts by a Global Reconstruction of GRACE Satellite Data L. Jensen et al. https://doi.org/10.1175/JCLI-D-20-0042.1
7760. Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. https://doi.org/10.5194/hess-27-2747-2023
7761. Projected Antarctic sea ice change contributes to increased occurrence of strong El Niño J. Liu & Z. Zhu https://doi.org/10.1038/s41612-024-00789-w
7762. Doubled Saharan dust emissions decrease solar photovoltaic potential through dust–radiation–cloud interactions in CMIP6 simulation P. Adigun et al. https://doi.org/10.1088/2752-5295/ae2ef3
7763. Current status on the need for improved accessibility to climate models code J. Añel et al. https://doi.org/10.5194/gmd-14-923-2021
7764. ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data T. Reichelt et al. https://doi.org/10.5194/gmd-19-5933-2026
7765. The Relationship between Model Biases in East Asian Summer Monsoon Rainfall and Land Evaporation R. Geen et al. https://doi.org/10.1007/s00376-023-2297-1
7766. Updating the radiation infrastructure in MESSy (based on MESSy version 2.55) M. Nützel et al. https://doi.org/10.5194/gmd-17-5821-2024
7767. Evaluating the thermal resilience of thermally activated building systems under future extreme weather conditions in cold regions of China X. Yang et al. https://doi.org/10.1016/j.jclepro.2026.148246
7768. Significant Increase of the Global Population Exposure to Increased Precipitation Extremes in the Future H. Chen & J. Sun https://doi.org/10.1029/2020EF001941
7769. Reversed tropical-Arctic teleconnection under climate change W. Tang et al. https://doi.org/10.1038/s41612-025-01243-1
7770. Assessment of Sea Surface Temperature Warming in the Tropical Indian Ocean Simulated by CMIP Models X. Zhang et al. https://doi.org/10.1007/s11802-023-5264-7
7771. Climate scenarios in CMIP6 multi-model projections for climate resilience planning in the upper stream of Tri An reservoir P. Nhi & V. Loc https://doi.org/10.1088/1755-1315/1657/1/012037
7772. Insights into recent aerosol trends over Asia from observations and CMIP6 simulations S. Ramachandran et al. https://doi.org/10.1016/j.scitotenv.2021.150756
7773. Can CMIP6 models simulate the network-based early warning signals for El Niño? Insights for climate modeling and network analyses J. Han et al. https://doi.org/10.1007/s00382-026-08057-8
7774. Exogenous heatwaves amplify heat risks in China under anthropogenic climate change G. Wang et al. https://doi.org/10.1007/s11430-025-1862-x
7775. Revisiting current distribution and future habitat suitability models for the endemic Malabar Tree Toad (Pedostibes tuberculosus) using citizen science data C. Aravind et al. https://doi.org/10.1038/s41598-024-60785-1
7776. Amplification of the Temperature Seasonality in the Mediterranean Region Under Anthropogenic Climate Change X. Feng et al. https://doi.org/10.1029/2022GL099658
7777. CMIP6模式对北太平洋海表盐度年代际变化的模拟评估 建. 陈 et al. https://doi.org/10.1360/N072023-0174
7778. Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. https://doi.org/10.1021/acs.est.1c04380
7779. AMOC weakening in response to global and regional reductions in aerosol emissions R. Allen et al. https://doi.org/10.1088/2752-5295/ae63ef
7780. Dynamic Downscaling Simulation and Projection of Precipitation Extremes Over China Under a Shared Socioeconomic Pathway Scenario N. Luo et al. https://doi.org/10.1029/2022JD037133
7781. Reduced ITCZ meridional asymmetry under global warming in CMIP6 models H. Lu & C. Yuan https://doi.org/10.1016/j.aosl.2026.100813
7782. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop https://doi.org/10.1016/j.gloplacha.2016.12.017
7783. 沙漠演变及沙漠化研究的新趋向 化. 鹿 https://doi.org/10.1360/SSTe-2024-0362
7784. Changes in the upper and deep cells of the South China Sea overturning circulation under global warming T. Wang et al. https://doi.org/10.1088/2515-7620/ae5927
7785. Mechanisms of enhanced ocean surface warming in the Kuroshio region for 1951–2010 M. Toda & M. Watanabe https://doi.org/10.1007/s00382-020-05221-6
7786. CMIP5 and CMIP6: contrasting perspectives on Nigeria’s climate transformation B. Tanimu et al. https://doi.org/10.1007/s00704-024-05272-3
7787. Study of hydrologically critical subbasins under climate change S. Gaur et al. https://doi.org/10.2166/wcc.2023.038
7788. Impact of Climate Change on Drought Dynamics in the Ganale Dawa River Basin, Ethiopia M. Abdulahi et al. https://doi.org/10.3390/cli13110231
7789. Globally Increasing Atmospheric Aridity Over the 21st Century Z. Fang et al. https://doi.org/10.1029/2022EF003019
7790. Spatiotemporal variability of drought and affected croplands in the horn of Africa A. Alasow et al. https://doi.org/10.1007/s00477-023-02575-1
7791. Hydroclimatic Change Detection Based on Observations and Bias-Corrected CMIP6 Projections Under SSP Scenarios P. Spor et al. https://doi.org/10.3390/su18084014
7792. Amplified Madden–Julian oscillation impacts in the Pacific–North America region W. Zhou et al. https://doi.org/10.1038/s41558-020-0814-0
7793. Snow cover over the Iberian mountains in km-scale global climate simulations: Evaluation and projected changes D. García-Maroto et al. https://doi.org/10.1016/j.ejrh.2026.103755
7794. Amplification of warming on the Tibetan Plateau C. Zhang et al. https://doi.org/10.1016/j.accre.2023.07.004
7795. When is an ensemble like a sample? “Model-based” inferences in climate modeling C. Dethier https://doi.org/10.1007/s11229-022-03477-5
7796. A SST-constructed Ocean Heat Content index in crossing ENSO spring persistence barrier X. Meng et al. https://doi.org/10.3389/fmars.2023.1248844
7797. Future Local Ground‐Level Ozone in the European Area From Statistical Downscaling Projections Considering Climate and Emission Changes E. Hertig et al. https://doi.org/10.1029/2022EF003317
7798. The Global Energy and Water Exchanges (GEWEX) Project in Central Asia: The Case for a Regional Hydroclimate Project M. Brody et al. https://doi.org/10.1007/s00376-023-3384-2
7799. A climate model projection weighting scheme accounting for performance and interdependence R. Knutti et al. https://doi.org/10.1002/2016GL072012
7800. A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. https://doi.org/10.1111/nph.20127
7801. Changing spatiotemporal dependence of the precipitation-temperature during Indian Summer Monsoon using observational and CMIP6 model simulations A. Chaudhary et al. https://doi.org/10.1016/j.ejrh.2024.102169
7802. Atlantic Meridional Overturning Circulation slowdown suppresses Atlantic Niño variability P. Freire-Souza et al. https://doi.org/10.1038/s41612-025-01222-6
7803. An observation-based evaluation and ranking of historical Earth system model simulations in the northwest North Atlantic Ocean A. Laurent et al. https://doi.org/10.5194/bg-18-1803-2021
7804. Prediction of soil organic carbon increase in the transition from shifting cultivation to agroforestry in the Indian East Himalayas A. Nath et al. https://doi.org/10.1002/eap.70286
7805. Earth system music: music generated from the United Kingdom Earth System Model (UKESM1) L. de Mora et al. https://doi.org/10.5194/gc-3-263-2020
7806. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. https://doi.org/10.5194/gmd-9-3461-2016
7807. Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation K. Strommen et al. https://doi.org/10.5194/wcd-3-951-2022
7808. Global Marine Heatwaves and Cold‐Spells in Present Climate to Future Projections Y. Yao et al. https://doi.org/10.1029/2022EF002787
7809. Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble F. Ge et al. https://doi.org/10.1088/1748-9326/abd7ad
7810. Long-range transport of coarse mineral dust: an evaluation of the Met Office Unified Model against aircraft observations N. Ratcliffe et al. https://doi.org/10.5194/acp-24-12161-2024
7811. Water resources projection using CMIP6 global climate models and water balance uncertainty F. Daliri & V. Singh https://doi.org/10.1186/s40068-025-00449-9
7812. Identification of optimal CMIP6 GCMs for future typical meteorological year in major cities of Indonesia using multi-criteria decision analysis V. Bhanage et al. https://doi.org/10.3389/fenvs.2024.1341807
7813. Isotopic content in high mountain karst aquifers as a proxy for climate change impact in Mediterranean zones: The Port del Comte karst aquifer (SE Pyrenees, Catalonia, Spain) J. Jódar et al. https://doi.org/10.1016/j.scitotenv.2021.148036
7814. A framework for detection and attribution of regional precipitation change: Application to the United States historical record M. Risser et al. https://doi.org/10.1007/s00382-022-06321-1
7815. The Indonesian Throughflow circulation under solar geoengineering C. Shen et al. https://doi.org/10.5194/esd-14-1317-2023
7816. On the dependency of GCM-based regional surface climate change projections on model biases, resolution and climate sensitivity F. Giorgi & F. Raffaele https://doi.org/10.1007/s00382-021-06037-8
7817. Justifying the application of deep learning on detecting weather fronts for coarse-scale General Circulation Models Y. Mao & T. Yamada https://doi.org/10.3178/hrl.24-00036
7818. Moist heatwaves intensified by entrainment of dry air that limits deep convection S. Duan et al. https://doi.org/10.1038/s41561-024-01498-y
7819. Global surface air temperatures in CMIP6: historical performance and future changes X. Fan et al. https://doi.org/10.1088/1748-9326/abb051
7820. Redistribution of the percentage of tropical cyclone energy in the globe Q. Wang & Z. Tan https://doi.org/10.1007/s00382-024-07458-x
7821. Southern South China Sea Dynamics: Sea Level Change from Coupled Model Intercomparison Project Phase 6 (CMIP6) in the 21st Century N. Azran et al. https://doi.org/10.3390/jmse11020458
7822. Overheating analysis of optimized nearly Zero-Energy dwelling during current and future heatwaves coincided with cooling system outage R. Rahif et al. https://doi.org/10.1016/j.enbuild.2023.112998
7823. Evaluation of events of extreme temperature change between neighboring days in CMIP6 models over China S. Song & X. Yan https://doi.org/10.1007/s00704-022-04142-0
7824. Shifting potential for high-resolution climate reconstructions under global warming J. Jevšenak et al. https://doi.org/10.1016/j.quascirev.2023.108486
7825. Decadal Prediction of Marine Heatwaves in MPI‐ESM L. Hövel et al. https://doi.org/10.1029/2022GL099347
7826. Recent south-central Andes water crisis driven by Antarctic amplification is unprecedented over the last eight centuries S. Wang et al. https://doi.org/10.1038/s43247-025-02858-1
7827. Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface J. Tian et al. https://doi.org/10.1080/17538947.2021.1937352
7828. Record-breaking emergence of upstream-downstream zonal-consistent variation in the Eurasian jet axis L. Lin et al. https://doi.org/10.1038/s41467-026-68772-y
7829. Characteristics and Mechanisms of the Dipole Precipitation Pattern in “Westerlies Asia” over the Past Millennium Based on PMIP4 Simulation S. Ma et al. https://doi.org/10.3390/atmos16121315
7830. Tracing human influence on rising surface air temperature in Venezuela B. Swain et al. https://doi.org/10.1038/s41598-024-79671-x
7831. Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh M. Hossain et al. https://doi.org/10.1002/sae2.70116
7832. Annual and seasonal mean tropical and subtropical precipitation bias in CMIP5 and CMIP6 models J. Li et al. https://doi.org/10.1088/1748-9326/abc7dd
7833. Spring phenology projections for apples in southwestern Germany indicate persistent frost risk levels L. Caspersen et al. https://doi.org/10.1016/j.agrformet.2025.110824
7834. Counterbalancing influences of aerosols and greenhouse gases on atmospheric rivers S. Baek & J. Lora https://doi.org/10.1038/s41558-021-01166-8
7835. Ocean heat uptake prevents polar climate reversibility in HadGEM3-GC3.1-LL climate model J. Ridley et al. https://doi.org/10.1007/s10584-026-04236-y
7836. Irrigation variability and climate change affect derived distributions of simulated water recharge and nitrate leaching T. Green & S. Anapalli https://doi.org/10.1080/02508060.2018.1515568
7837. Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity M. Rugenstein & K. Armour https://doi.org/10.1029/2021GL092983
7838. Radiocarbon in the Land and Ocean Components of the Community Earth System Model T. Frischknecht et al. https://doi.org/10.1029/2021GB007042
7839. Optimizing the Land Use and Land Cover Pattern to Increase Its Contribution to Carbon Neutrality K. Wang et al. https://doi.org/10.3390/rs14194751
7840. Storylines of extreme summer temperatures in southern South America S. Suli et al. https://doi.org/10.5194/wcd-7-149-2026
7841. The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. https://doi.org/10.5194/acp-24-6555-2024
7842. Arctic Sea Ice Growth in Response to Synoptic- and Large-Scale Atmospheric Forcing from CMIP5 Models L. Cai et al. https://doi.org/10.1175/JCLI-D-19-0326.1
7843. Current bioclimatic suitability and climate change impacts on the risk of cacao moniliasis invasion in Pará V. Moura et al. https://doi.org/10.1016/j.ecolmodel.2025.111106
7844. The impact of rocket-emitted chlorine on stratospheric ozone Y. Li et al. https://doi.org/10.5194/acp-26-3621-2026
7845. Impacts of the PMIP4 ice sheets on Northern Hemisphere climate during the last glacial period K. Izumi et al. https://doi.org/10.1007/s00382-022-06456-1
7846. Three-Phase Transition in China’s Future Air Quality under Ambitious Mitigation Pathways Revealed by Large-Ensemble AI Projections F. Wan et al. https://doi.org/10.1021/acs.est.6c04494
7847. Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA D. Ualiyeva et al. https://doi.org/10.3390/ani14020209
7848. Ecological network resilience - Updating projections of ecological networks under optimistic and pessimistic scenarios of biodiversity loss E. Kusch & A. Ordonez https://doi.org/10.1016/j.ecocom.2026.101176
7849. Exploring Spatio-Temporal Dynamics of Future Extreme Precipitation, Runoff, and Flood Risk in the Hanjiang River Basin, China D. Wang et al. https://doi.org/10.3390/rs16213980
7850. Influence of the Southern Ocean Dipole on the inter-model diversity of temporal trend of the austral summer Southern Annular Mode in CMIP6 models R. Wang et al. https://doi.org/10.1007/s00382-024-07263-6
7851. Analysis of the distribution of Astragalus membranaceus var. mongholicus in Inner Mongolia under climate change using the GEE platform J. Guo et al. https://doi.org/10.1097/st9.0000000000000045
7852. Changes in concurrent precipitation and temperature extremes over the Asian monsoon region: observation and projection L. Xu et al. https://doi.org/10.1088/1748-9326/acbfd0
7853. A protocol for model intercomparison of impacts of marine cloud brightening climate intervention P. Rasch et al. https://doi.org/10.5194/gmd-17-7963-2024
7854. Potential Weakening of the June 2012 North American Derecho Under Future Warming Conditions J. Li et al. https://doi.org/10.1029/2022JD037494
7855. Multi-country pine species allocation under different climate scenarios R. Cavalheiro et al. https://doi.org/10.1016/j.ecolmodel.2025.111330
7856. CMIP6 Simulations of Compound Hot Days and Nights over Interior Peninsular Region of India A. Sabarinath et al. https://doi.org/10.1007/s11069-025-07355-4
7857. NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery B. Mu et al. https://doi.org/10.3390/atmos14050792
7858. Sea surface temperature driven modulation of decadal co-variability in mean and extreme precipitation M. Adamu et al. https://doi.org/10.1088/1748-9326/ad2ab9
7859. Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble V. Capistrano et al. https://doi.org/10.5194/gmd-13-2277-2020
7860. North Atlantic Cooling is Slowing Down Mass Loss of Icelandic Glaciers B. Noël et al. https://doi.org/10.1029/2021GL095697
7861. The influence of humid heat on morbidity of megacity Shanghai in China C. Liang et al. https://doi.org/10.1016/j.envint.2024.108424
7862. Changes in Moisture Supply in the Steppe Zone of the Southern Part of Western Siberia for the Period 1980–2050 According to Scenario Forecasts Based on Global CMIP6 Models E. Mordvin et al. https://doi.org/10.1134/S2079096124700203
7863. Projected land ice contributions to twenty-first-century sea level rise T. Edwards et al. https://doi.org/10.1038/s41586-021-03302-y
7864. Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration I. Kriest et al. https://doi.org/10.5194/bg-20-2645-2023
7865. Attributing European runoff changes to climatic drivers under future conditions I. Clemenzi et al. https://doi.org/10.1016/j.jhydrol.2025.134794
7866. Impacts of current and climate induced changes in atmospheric stagnation on Indian surface PM2.5 pollution M. Zhou et al. https://doi.org/10.1038/s41467-024-51462-y
7867. How Significant is Projected Drought Risk in Pakistan Under a Warmer Climate? I. Ullah et al. https://doi.org/10.1007/s41748-024-00560-4
7868. Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model O. Boucher et al. https://doi.org/10.1029/2019MS002010
7869. Revisiting the future changes in precipitation extremes over the Eastern Tibetan Plateau: from the thermodynamic–dynamic processes to model uncertainty K. Wang et al. https://doi.org/10.1007/s00382-025-07620-z
7870. Ocean Barotropic Vorticity Balances: Theory and Application to Numerical Models R. Waldman & H. Giordani https://doi.org/10.1029/2022MS003276
7871. A Framework for Actual Evapotranspiration Assessment and Projection Based on Meteorological, Vegetation and Hydrological Remote Sensing Products Y. Liu et al. https://doi.org/10.3390/rs13183643
7872. Human Activities Enhance Radiation Forcing through Surface Albedo Associated with Vegetation in Beijing X. Tang et al. https://doi.org/10.3390/rs12050837
7873. Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges T. Howard & S. Williams https://doi.org/10.5194/nhess-21-3693-2021
7874. Numerical impacts on tracer transport: A proposed intercomparison test of Atmospheric General Circulation Models A. Gupta et al. https://doi.org/10.1002/qj.3881
7875. Rapid attribution of the record-breaking heatwave event in North China in June 2023 and future risks C. Qian et al. https://doi.org/10.1088/1748-9326/ad0dd9
7876. Evaluation of CMIP6 AMIP climate simulations with the ACCESS-AM2 model R. Bodman et al. https://doi.org/10.1071/ES19033
7877. Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles O. El Alaoui & A. Idri https://doi.org/10.1016/j.ecoinf.2023.102084
7878. Limited impact of Greenland meltwater on abruptness and reversibility of future Atlantic overturning changes O. Mehling et al. https://doi.org/10.1126/sciadv.aed2633
7879. Unravelling Changes in Precipitation Extremes over India using CMIP6 Simulations under the High-Emission SSP5-8.5 Scenario A. Kumari et al. https://doi.org/10.1007/s00024-026-04097-7
7880. Surface air temperature changes over the Tibetan Plateau: Historical evaluation and future projection based on CMIP6 models R. Chen et al. https://doi.org/10.1016/j.gsf.2022.101452
7881. Soil Moisture–Drought Nexus across Brazil: Identifying Current Issues and Future Perspectives L. Bertotto et al. https://doi.org/10.1061/JWRMD5.WRENG-6575
7882. Evaluation of Global Climate Models (GCMs) in Representing Climate Phenomena Signatures Over Maritime Continent F. Marsitha et al. https://doi.org/10.1088/1755-1315/1105/1/012014
7883. Input quality, not statistical complexity, determines climate-adapted weather file fidelity: A causal decomposition of degree-day errors H. Guo & K. He https://doi.org/10.1016/j.energy.2026.140867
7884. Stronger Arctic amplification from anthropogenic aerosols than from greenhouse gases Y. Wu et al. https://doi.org/10.1038/s41612-024-00696-0
7885. Climate intervention using marine cloud brightening (MCB) compared with stratospheric aerosol injection (SAI) in the UKESM1 climate model J. Haywood et al. https://doi.org/10.5194/acp-23-15305-2023
7886. QBO Changes in CMIP6 Climate Projections N. Butchart et al. https://doi.org/10.1029/2019GL086903
7887. Organ-specific rest and quiescence in response to chilling and forcing in subtropical Torreya grandis trees R. Zhang et al. https://doi.org/10.1016/j.agrformet.2024.109968
7888. Stratospheric aerosol forcing for CMIP7 – Part 1: optical properties for pre-industrial, historical, and scenario simulations T. Aubry et al. https://doi.org/10.5194/gmd-19-3725-2026
7889. Forecasting Future Vegetation Dynamics under SSP/RCP Pathways under Spatially Changing Climate and Human Activities Conditions W. Yang et al. https://doi.org/10.3390/su16146188
7890. Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios C. Müller et al. https://doi.org/10.1088/1748-9326/abd8fc
7891. Refinement of the environmental and chronological context of the archeological site El Harhoura 2 (Rabat, Morocco) using paleoclimatic simulations L. Terray et al. https://doi.org/10.5194/cp-19-1245-2023
7892. Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective C. Melo-Aguilar et al. https://doi.org/10.5194/cp-16-453-2020
7893. Polar amplification comparison among Earth’s three poles under different socioeconomic scenarios from CMIP6 surface air temperature A. Xie et al. https://doi.org/10.1038/s41598-022-21060-3
7894. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. https://doi.org/10.1029/2020GL090849
7895. Forecasting the potential distribution and niche of two similar gastropod species in South America: the intermediate host of schistosomiasis Biomphalaria glabrata and the invasive Melanoides tuberculata L. Ribas et al. https://doi.org/10.1007/s10750-024-05647-7
7896. Exploring the Origin of the Two-Week Predictability Limit: A Revisit of Lorenz’s Predictability Studies in the 1960s B. Shen et al. https://doi.org/10.3390/atmos15070837
7897. Analyzing meteorological drought under historical and future climate scenarios in East Bale zone, South-eastern Ethiopia M. Deresu et al. https://doi.org/10.1007/s42452-025-07336-z
7898. Reviews and syntheses: The role of process-based modeling of the CO2 : CH4 production ratio in predicting future terrestrial Arctic methane emissions M. Moser et al. https://doi.org/10.5194/bg-23-605-2026
7899. Mechanisms and Impacts of Earth System Tipping Elements S. Wang et al. https://doi.org/10.1029/2021RG000757
7900. The Escalating Threat of Heatwaves in Central Asia: Climate Change Impacts and Public Health Risks P. Broomandi et al. https://doi.org/10.1002/gch2.202500401
7901. Future Indian Ocean warming patterns S. Sharma et al. https://doi.org/10.1038/s41467-023-37435-7
7902. Predicting net primary productivity response to multiple extreme climate drivers in Inner Mongolia R. Su et al. https://doi.org/10.1088/1748-9326/ae2d78
7903. Evaluation of CMIP5 and CMIP6 climate projections portrayed in the water balance components of a tropical humid region N. Chandu & T. Eldho https://doi.org/10.1080/15715124.2026.2689431
7904. Winter chill requirements shape stone fruit tree performance across species and cultivars under contrasting Mediterranean climates E. Fadón et al. https://doi.org/10.1016/j.jxh.2026.100020
7905. Regional ensemble of CMIP6 global climate models for Sakha (Yakutia) Republic, Northern Eurasia N. Tananaev https://doi.org/10.1016/j.polar.2024.101066
7906. Mid-latitude clouds contribute to Arctic amplification via interactions with other climate feedbacks D. Bonan et al. https://doi.org/10.1088/2752-5295/ada84b
7907. Evaluation of precipitation in CMIP6 over the Yangtze River Basin Y. Li et al. https://doi.org/10.1016/j.atmosres.2020.105406
7908. Unraveling volcanic cooling in semi-arid climates: model–observation gaps and multi-eruption impacts over Iran G. Roshan et al. https://doi.org/10.1007/s11069-026-08282-8
7909. Emerging heat stress patterns across India under future climate scenarios M. Molina et al. https://doi.org/10.1038/s41598-026-36299-3
7910. Modeling Habitat Suitability for Endemic Anthemis pedunculata subsp. pedunculata and Anthemis pedunculata subsp. atlantica in Mediterranean Region Using MaxEnt and GIS-Based Analysis K. Mechergui et al. https://doi.org/10.3390/d17120851
7911. Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback A. Delhasse et al. https://doi.org/10.5194/tc-18-633-2024
7912. Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. https://doi.org/10.1029/2021EF002252
7913. Climate-resilient energy systems planning via system-informed identification of stressful events F. De Marco et al. https://doi.org/10.1016/j.adapen.2025.100235
7914. Warmer western tropical South Atlantic during the Last Interglacial relative to the current interglacial period R. Nascimento et al. https://doi.org/10.1016/j.gloplacha.2022.103889
7915. Seasonal CO2 amplitude in northern high latitudes Z. Liu et al. https://doi.org/10.1038/s43017-024-00600-7
7916. Regional temperature extremes and vulnerability under net zero CO2 emissions L. Cassidy et al. https://doi.org/10.1088/1748-9326/ad114a
7917. Enhancing drought projection reliability: a framework for optimal GCM selection, aggregation, and trend analysis under shared socioeconomic pathways M. Shakeel et al. https://doi.org/10.1007/s00704-025-05443-w
7918. Antarctic Sea Ice Projections Constrained by Historical Ice Cover and Future Global Temperature Change C. Holmes et al. https://doi.org/10.1029/2021GL097413
7919. Sub-seasonal to decadal predictions in support of climate services M. Osman et al. https://doi.org/10.1016/j.cliser.2023.100397
7920. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. https://doi.org/10.1016/j.gsf.2021.101325
7921. Using personas as means to bridge user needs and climate service design: insights from the Austrian climate scenario evaluation R. Berg et al. https://doi.org/10.1016/j.cliser.2026.100722
7922. Projection of Flash Droughts in the Headstream Area of Tarim River Basin Under Climate Change Through Bayesian Uncertainty Analysis X. Yu et al. https://doi.org/10.1029/2022JD037634
7923. ExoPlaSim: Extending the Planet Simulator for exoplanets A. Paradise et al. https://doi.org/10.1093/mnras/stac172
7924. Assessing future flood risks to cropland under climate change in the Second Songhua River Basin, China: A depth-duration framework for adaptive management Y. Zheng et al. https://doi.org/10.1016/j.ejrh.2026.103765
7925. Global Land Monsoon Precipitation Changes in CMIP6 Projections Z. Chen et al. https://doi.org/10.1029/2019GL086902
7926. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
7927. Snow Depth Trends from CMIP6 Models Conflict with Observational Evidence X. Zhong et al. https://doi.org/10.1175/JCLI-D-21-0177.1
7928. The Irish Atlantic CoCliME case study configuration, validation and application of a downscaled ROMS ocean climate model off SW Ireland H. Nagy et al. https://doi.org/10.1016/j.hal.2021.102053
7929. Understanding the Inter-Model Spread of PDO’s Impact on Tropical Cyclone Frequency over the Western North Pacific in CMIP6 Models J. Feng et al. https://doi.org/10.3390/atmos15030276
7930. Assessment of CMIP6 in Simulating Multiyear El Niño and the Associated Spring Precipitation over Southern China X. Zhang et al. https://doi.org/10.34133/olar.0126
7931. Exploring the Tropical Pacific Manifold in Models and Observations F. Falasca & A. Bracco https://doi.org/10.1103/PhysRevX.12.021054
7932. Arbitrary-scale atmospheric downscaling with mixture of implicit neural networks trained on fixed-scale data T. Chen et al. https://doi.org/10.1016/j.patcog.2025.112802
7933. Reduced surface hoar in a warming world W. Rudisill et al. https://doi.org/10.5194/tc-20-5585-2026
7934. Escalating thermal extremes and climate risk in a Brazilian semi-arid region: insights from ETCCDI indices and CMIP6 model projections D. dos Santos https://doi.org/10.1007/s11069-025-07814-y
7935. Greater Climate Sensitivity and Variability on TRAPPIST-1e than Earth A. Hochman et al. https://doi.org/10.3847/1538-4357/ac866f
7936. EXSoDOS 1.0: downscaling of weather extremes shifts for ensemble climate projections using ground-based measurements, reanalysis and stochastic modelling H. Wouters et al. https://doi.org/10.5194/gmd-19-5805-2026
7937. Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom E. Robinson et al. https://doi.org/10.5194/essd-15-4433-2023
7938. Atlantic origin of the increasing Asian westerly jet interannual variability L. Lin et al. https://doi.org/10.1038/s41467-024-46543-x
7939. Learning to Correct Climate Projection Biases B. Pan et al. https://doi.org/10.1029/2021MS002509
7940. Data-driven spatiotemporal projections of shallow permafrost based on CMIP6 across the Qinghai‒Tibet Plateau at 1 km2 scale G. Yin et al. https://doi.org/10.1016/j.accre.2021.08.009
7941. 基于机器学习的气候模式次网格参数化方案研究 超. 严 & 世. 苗 https://doi.org/10.1360/SSTe-2024-0241
7942. Trans-basin linkages prolong Northwestern Pacific marine heatwaves through a circumglobal wave pattern Y. Zhao & J. Yu https://doi.org/10.1126/sciadv.adz4647
7943. Drivers of persistent changes in the global methane cycle under aggressive mitigation action G. Folberth et al. https://doi.org/10.1038/s41612-024-00867-z
7944. Asian summer monsoon responses to the change of land‒sea thermodynamic contrast in a warming climate: CMIP6 projections Q. Wu et al. https://doi.org/10.1016/j.accre.2022.01.001
7945. Projecting dryland vegetation responses to future climate using vegetation–climate relationships derived from historical periods with and without conservation management X. Zhang et al. https://doi.org/10.1088/2515-7620/ae9a34
7946. Land-use induced changes in extreme temperature predominantly influenced by downward longwave radiation M. Zhang et al. https://doi.org/10.1038/s43247-024-01936-0
7947. Rapid attribution prototype for extreme high temperature events in China Y. Sun et al. https://doi.org/10.1016/j.accre.2025.06.004
7948. Evaluation of the CMIP6 planetary albedo climatology using satellite observations B. Jian et al. https://doi.org/10.1007/s00382-020-05277-4
7949. Projected changes in wind speed and wind energy resources over the Persian Gulf based on bias corrected CMIP6 models A. Gohari & A. Akpınar https://doi.org/10.1016/j.dynatmoce.2025.101539
7950. Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme J. Shin & J. Baik https://doi.org/10.1029/2022MS003578
7951. Widespread temporal and spatial variability in net ecosystem productivity under climate change H. Huang et al. https://doi.org/10.1016/j.oneear.2024.01.008
7952. From Concept to Practice: Implementing a Knowledge-Driven Decision Support Platform for Sustainable Viticulture in Montenegro T. Racković et al. https://doi.org/10.3390/s26092843
7953. Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6 M. Menary et al. https://doi.org/10.1029/2018MS001495
7954. Atmospheric regional climate projections for the Baltic Sea region until 2100 O. Christensen et al. https://doi.org/10.5194/esd-13-133-2022
7955. Local and seasonal climate change and its influence on the hydrological cycle in a mountainous forested catchment L. Strohmenger et al. https://doi.org/10.1016/j.jhydrol.2022.127914
7956. Spatiotemporal characteristics of the time of emergence for anthropogenic tropospheric temperature changes based on the CMIP6 multi-model results S. Zhang et al. https://doi.org/10.1088/1748-9326/ad34e6
7957. Dust Aerosol Radiative Effects During a Dust Event and Heatwave in Summer 2019 Simulated with a Regional Climate Atmospheric Model over the Iberian Peninsula C. Gil-Díaz et al. https://doi.org/10.3390/rs17111817
7958. Committed Global Warming Risks Triggering Multiple Climate Tipping Points J. Abrams et al. https://doi.org/10.1029/2022EF003250
7959. Shifting dominant periods in extreme climate impacts under global warming K. Zantout et al. https://doi.org/10.1038/s41467-025-65600-7
7960. CMIP6 model ranking and machine learning–assisted ensemble evaluation using a multi-variable integrated MCDM–GDM framework M. Narahari et al. https://doi.org/10.2166/wcc.2026.131
7961. Historical diurnal temperature range trends constrain future climate projections A. Liu et al. https://doi.org/10.1038/s43247-026-03185-9
7962. The trend and interannual variability in the global terrestrial evapotranspiration are respectively dominated by humid regions and drylands H. Chen et al. https://doi.org/10.1016/j.jhydrol.2025.134879
7963. Relative Importance of Large‐Scale Environmental Variables to the World‐Wide Variability of Thunderstorms N. Liu et al. https://doi.org/10.1029/2021JD036065
7964. Projected river water temperatures in Poland under climate change scenarios W. Dong et al. https://doi.org/10.1016/j.ejrh.2025.102368
7965. Quantification of the surface and groundwater dynamics of Upper Godavari Sub-Basin using SWAT-MODFLOW and CMIP6 climate change scenarios S. Choudhary et al. https://doi.org/10.1080/02626667.2025.2492891
7966. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
7967. The impact of carbon dioxide removal on temperature parameters over West Africa E. Uzoma et al. https://doi.org/10.1007/s00703-023-00992-z
7968. Weak persistence of Northwest Pacific anomalous anticyclone during post-El Niño summers in CMIP5 and CMIP6 models H. Tang et al. https://doi.org/10.1007/s00382-023-06772-0
7969. Data-driven techniques in rainfall forecasting using CMIP6 simulation outputs and ground-observed data V. Dubey & V. Vidyarthi https://doi.org/10.1007/s11600-025-01626-1
7970. Nitrogen limitation amplifies future warming by weakening terrestrial carbon cycle feedbacks and sink capacity G. Tang et al. https://doi.org/10.1038/s43247-026-03736-0
7971. California’s 2023 snow deluge: Contextualizing an extreme snow year against future climate change A. Marshall et al. https://doi.org/10.1073/pnas.2320600121
7972. Projected near-term changes of temperature extremes in Europe and China under different aerosol emissions F. Luo et al. https://doi.org/10.1088/1748-9326/ab6b34
7973. Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios A. Gädeke et al. https://doi.org/10.1088/1748-9326/ac8ca1
7974. Interannual Variability of Extreme Precipitation during the Boreal Summer over Northwest China Q. Ma et al. https://doi.org/10.3390/rs15030785
7975. Compound climate risks threaten aquatic food system benefits M. Tigchelaar et al. https://doi.org/10.1038/s43016-021-00368-9
7976. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. https://doi.org/10.1007/s00382-023-06696-9
7977. Meteorological drivers of the low-cloud radiative feedback pattern effect and its uncertainty R. Tam et al. https://doi.org/10.5194/acp-26-4289-2026
7978. Near-term regional climate change in East Africa Y. Choi et al. https://doi.org/10.1007/s00382-022-06591-9
7979. Three-dimensional-based global drought projection under global warming tendency Y. Ji et al. https://doi.org/10.1016/j.atmosres.2023.106812
7980. On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport https://doi.org/10.1088/1748-9326/ac2f1a
7981. Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff P. Wiersma et al. https://doi.org/10.5194/hess-26-5971-2022
7982. Identifying conservation priority areas for North American bumble bee species in Canada under current and future climate scenarios A. Liczner et al. https://doi.org/10.1111/csp2.12994
7983. Evaluation of CMIP6 models in reproducing observed rainfall over Ethiopia D. Berhanu et al. https://doi.org/10.2166/wcc.2023.502
7984. Projected changes in rare extreme precipitation design values in the United States due to global warming K. Kunkel et al. https://doi.org/10.1007/s11707-024-1142-x
7985. Predicting future tropical theileriosis risk in China using tick distribution and climate models T. Zhang et al. https://doi.org/10.1016/j.prevetmed.2025.106652
7986. Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al. https://doi.org/10.1038/s41612-024-00841-9
7987. Near‐surface wind variability in Prydz Bay and Amery Ice Shelf region, East Antarctica: A four‐decade SOM analysis L. Yu et al. https://doi.org/10.1002/joc.8624
7988. Shifting Agroclimatic Regimes: CMIP6 Ensemble Insights Into Phenology-Specific Climate Variability in the Indus Basin F. Ilyas et al. https://doi.org/10.1007/s41748-026-01095-6
7989. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. https://doi.org/10.5194/acp-21-87-2021
7990. Estimates of natural methane emissions into the atmosphere in the regions of Western Siberia by model simulations M. Arzhanov et al. https://doi.org/10.1088/1755-1315/1040/1/012017
7991. Atmospheric river representation in the Energy Exascale Earth System Model (E3SM) version 1.0 S. Kim et al. https://doi.org/10.5194/gmd-15-5461-2022
7992. Increased moisture stress and weakened resilience to aridity limit global greening R. Kashyap & J. Kuttippurath https://doi.org/10.1016/j.scitotenv.2026.181416
7993. Recent impact of reduced arctic sea-ice on the winter North Atlantic jet stream and its quantitative contributions compared to pre-industrial level J. Jiang et al. https://doi.org/10.1016/j.atmosres.2024.107778
7994. Divergent response of aridity index to historical land use and land cover change T. Tang et al. https://doi.org/10.1038/s41612-025-00978-1
7995. Management strategies for the genetic resources of Neltuma alba under climate change and anthropogenic pressures R. Orquera et al. https://doi.org/10.1007/s11056-026-10168-3
7996. The chromosome-level genome assembly of an endangered herbBergenia scopulosaprovides insights into local adaptation and genomic vulnerability under climate change Y. Yang et al. https://doi.org/10.1093/gigascience/giae091
7997. Do climate models agree on seasonal rainfall patterns and future changes over Southern Africa? A. Kennedy-Asser et al. https://doi.org/10.1007/s10584-025-04073-5
7998. Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model H. Schmidt et al. https://doi.org/10.5194/gmd-17-1563-2024
7999. Exacerbating landslide risks under future climate change and land use scenarios: evidence from the Western Himalayas in Pakistan A. Rehman et al. https://doi.org/10.1080/19475705.2025.2577170
8000. Clean air policies are key for successfully mitigating Arctic warming K. von Salzen et al. https://doi.org/10.1038/s43247-022-00555-x
8001. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun https://doi.org/10.1029/2023GL103515
8002. Explainable deep learning for predicting lake expansion in the Siling Co Endorheic basin: Unraveling driver shifts and hydro-climatic tipping points X. Jing et al. https://doi.org/10.1016/j.ejrh.2026.103719
8003. Low-level circulation over Central Equatorial Africa as simulated from CMIP5 to CMIP6 models T. Taguela et al. https://doi.org/10.1007/s00382-022-06411-0
8004. Uncertainties in measuring precipitation hinders precise evaluation of loss of diversity in biomes and ecotones A. Navarro et al. https://doi.org/10.1038/s41612-024-00581-w
8005. Projecting marine species range shifts from only temperature can mask climate vulnerability J. McHenry et al. https://doi.org/10.1111/gcb.14828
8006. Orsillus depressus (Heteroptera: Lygaeidae), an invasive circum-mediterranean species recently reported from America. Are the endemic and already endangered Cupressaceae trees from the Andean Region facing a new challenge? E. Minghetti et al. https://doi.org/10.1007/s10530-024-03313-6
8007. The Antarctic contribution to 21st-century sea-level rise predicted by the UK Earth System Model with an interactive ice sheet A. Siahaan et al. https://doi.org/10.5194/tc-16-4053-2022
8008. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100) Z. Xu et al. https://doi.org/10.1038/s41597-021-01079-3
8009. Assessing climate models to forecast future climate and agricultural water demand in the Indravati River Basin A. Yadav & R. Singh https://doi.org/10.1007/s40808-025-02347-6
8010. AI-Based Anomaly Detection for Extreme Event Attribution: An Analysis of European Heatwaves P. Zaninelli et al. https://doi.org/10.1007/s41748-026-01122-6
8011. Net primary production annual maxima in the North Atlantic projected to shift in the 21st century J. Hieronymus et al. https://doi.org/10.5194/bg-21-2189-2024
8012. Socioeconomic exposure to drought under climate warming and globalization: The importance of vegetation‐CO2 feedback T. Wang & F. Sun https://doi.org/10.1002/joc.8174
8013. Anthropogenic influence on the extreme drought in eastern China in 2022 and its future risk Y. Zhang et al. https://doi.org/10.1016/j.aosl.2023.100390
8014. The TIPMIP Earth system model experiment protocol: phase 1 C. Jones et al. https://doi.org/10.5194/gmd-19-6941-2026
8015. Future humidex extremes over North America: projections and uncertainties from the CanESM5 large ensemble B. Yu et al. https://doi.org/10.1007/s00382-026-08158-4
8016. Anthropogenically-driven escalating impact of soil-based compound dry-hot extremes on vegetation productivity Y. Liang et al. https://doi.org/10.1038/s41467-026-68878-3
8017. Storm surge changes around the UK under a weakened Atlantic meridional overturning circulation T. Howard et al. https://doi.org/10.1088/2515-7620/ad3368
8018. Topographic and climatic controls of peatland distribution on the Tibetan Plateau J. Sun et al. https://doi.org/10.1038/s41598-023-39699-x
8019. Influence of the El Niño–Southern Oscillation on entry stratospheric water vapor in coupled chemistry–ocean CCMI and CMIP6 models C. Garfinkel et al. https://doi.org/10.5194/acp-21-3725-2021
8020. Improvements in Circumpolar Southern Hemisphere Extratropical Atmospheric Circulation in CMIP6 Compared to CMIP5 T. Bracegirdle et al. https://doi.org/10.1029/2019EA001065
8021. Flood frequency and flood intensity changes in the post embankment period in the Kosi sub-basin India: Impact of location, caste, and class on the flood vulnerability of the marginal communities R. Sahani et al. https://doi.org/10.3389/frwa.2023.1017945
8022. Amazon drought amplifies SST warming in the North Tropical Atlantic W. Lou et al. https://doi.org/10.1007/s00382-024-07400-1
8023. METEORv1.6: Spatial climate variability and integrated impact emulation B. Sanderson et al. https://doi.org/10.5194/gmd-19-9263-2026
8024. Decadal co‐variation of the aerosols over East Asia and the East Asian jet streams in the boreal winter S. Hu et al. https://doi.org/10.1002/asl.1217
8025. The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations D. Notz et al. https://doi.org/10.5194/gmd-9-3427-2016
8026. Assessing climate change impacts on the WEF nexus: A case study of water availability, thermal energy production, and rice yield in the Kangsabati river basin K. Mondal et al. https://doi.org/10.1016/j.egycc.2025.100221
8027. Impacts of land use and climate change on runoff in the Shaying River Basin based on SWAT model J. Tao et al. https://doi.org/10.1007/s10201-023-00737-2
8028. Causal mechanisms of subpolar gyre variability in CMIP6 models S. Falkena et al. https://doi.org/10.5194/esd-16-1833-2025
8029. Projections of Extreme Precipitation Changes over the Eastern Tibetan Plateau: Exploring Thermodynamic and Dynamic Contributions X. Liu et al. https://doi.org/10.3390/atmos16060664
8030. Prediction of forest fire occurrence in China under climate change scenarios Y. Shao et al. https://doi.org/10.1007/s11676-023-01605-6
8031. Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models Z. Zhang et al. https://doi.org/10.5194/acp-19-1077-2019
8032. Strengthening atmospheric circulation and trade winds slowed tropical Pacific surface warming M. Latif et al. https://doi.org/10.1038/s43247-023-00912-4
8033. A global perspective on past and future change in regional seasonal cycle shape E. Holtanová et al. https://doi.org/10.5194/esd-17-181-2026
8034. Hadley circulation dynamics in the IITM-Earth System Model simulations: evaluation and future projections S. Mathew & K. Kumar https://doi.org/10.1007/s00704-023-04397-1
8035. Evaluating CMIP6 Global Climate Models Performances Over Nigeria: An Integrated Approach M. Shiru et al. https://doi.org/10.1002/joc.8739
8036. Bidirectional Extreme Response Analysis for a Synchronized-Period Evaluation of Multiple Precipitation Datasets C. Demir et al. https://doi.org/10.3390/su18157982
8037. Global prediction of gross primary productivity under future climate change Q. Lu et al. https://doi.org/10.1016/j.scitotenv.2023.169239
8038. Phylogeny, species delimitation, and biogeography of the arboreal land snail genus Amphidromus on Java Island, Sundaland E. Becher et al. https://doi.org/10.1016/j.ympev.2026.108623
8039. Learning from weather and climate science to prepare for a future pandemic S. Schemm et al. https://doi.org/10.1073/pnas.2209091120
8040. Comparative Study of Potential Habitats for Simulium qinghaiense (Diptera: Simuliidae) in the Huangshui River Basin, Qinghai–Tibet Plateau: An Analysis Using Four Ecological Niche Models and Optimized Approaches Y. Liu et al. https://doi.org/10.3390/insects15020081
8041. A copula-based multivariate flood frequency analysis under climate change effects M. Khajehali et al. https://doi.org/10.1038/s41598-024-84543-5
8042. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. https://doi.org/10.1016/j.cageo.2022.105072
8043. The Antarctic Peninsula under present day climate and future low, medium-high and very high emissions scenarios B. Davies et al. https://doi.org/10.3389/fenvs.2025.1730203
8044. The Time-Scale-Dependent Response of the Wintertime North Atlantic to Increased Ocean Model Resolution in a Coupled Forecast Model C. Roberts et al. https://doi.org/10.1175/JCLI-D-19-0235.1
8045. Interdecadal and interannual evolution characteristics of the global surface precipitation anomaly shown by CMIP5 and CMIP6 models Y. Zhu & S. Yang https://doi.org/10.1002/joc.6756
8046. Impact of volcanic eruptions on extratropical atmospheric circulations: review, revisit and future directions S. Paik et al. https://doi.org/10.1088/1748-9326/acd5e6
8047. Optimizing Configurations for the Regional Climate Model (RegCM5) Using a Micro-GA Approach: A Case Study over Vietnam T. Nguyen-Xuan et al. https://doi.org/10.2151/sola.2025-053
8048. Enhancing South Africa’s power grid management with AI: deep learning models for short-term forecasting of Eskom’s renewable generation under weather uncertainty G. Xelibokwe et al. https://doi.org/10.1007/s44379-026-00061-3
8049. Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. https://doi.org/10.1029/2021EF002499
8050. Global evaluation of simulated surface shortwave radiation in CMIP6 models J. He et al. https://doi.org/10.1016/j.atmosres.2023.106896
8051. Identifying climate extremes in Southern Africa through advanced bias correction of climate projections L. Trentini et al. https://doi.org/10.1007/s42865-025-00097-y
8052. Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model C. Franzke et al. https://doi.org/10.1088/1748-9326/ae2f73
8053. The atmospheric hinder for intraseasonal sea-air interaction over the Bay of Bengal during Indian summer monsoon in CMIP6 Z. Meng et al. https://doi.org/10.1007/s13131-022-2023-3
8054. Intraseasonal‐to‐seasonal evolution of soil moisture‐based droughts and floods in observation‐based datasets and Coupled Model Intercomparison Project Phase 6 models J. Wei et al. https://doi.org/10.1002/joc.7965
8055. Towards understanding the robust strengthening of ENSO and more frequent extreme El Niño events in CMIP6 global warming simulations U. Heede & A. Fedorov https://doi.org/10.1007/s00382-023-06856-x
8056. How does ecological protection redline policy affect regional land use and ecosystem services? X. Guo et al. https://doi.org/10.1016/j.eiar.2023.107062
8057. Evaluation of the climate models used by the IPCC based on the position of the ITCZ in the Equatorial South Atlantic S. Saad et al. https://doi.org/10.1002/joc.8440
8058. Relationship between July–August Tibetan Plateau westerly jet and precipitation over the Tibetan Plateau in CMIP6 models Y. Feng et al. https://doi.org/10.1016/j.atmosres.2026.109283
8059. Improving the Findability of Digital Objects in Climate Science by Adopting the FDO Concept M. Kulüke et al. https://doi.org/10.52825/ocp.v5i.1175
8060. Climate Sensitivity and Feedbacks of BCC-CSM to Idealized CO2 Forcing from CMIP5 to CMIP6 X. Shi et al. https://doi.org/10.1007/s13351-020-9204-9
8061. Aerosols heat up the Himalayan climate S. Ramachandran et al. https://doi.org/10.1016/j.scitotenv.2023.164733
8062. Multi-annual predictions of hot, dry and hot-dry compound extremes A. Aranyossy et al. https://doi.org/10.5194/esd-16-2225-2025
8063. Connecting physical and social science datasets: challenges and pathways forward S. Shah et al. https://doi.org/10.1088/2515-7620/acf6b4
8064. Predicting compound coastal inundation in 2100 by considering the joint probabilities of landfalling tropical cyclones and sea-level rise Y. Sheng et al. https://doi.org/10.1088/1748-9326/ac50d1
8065. Evaluation and projection of CMIP6 simulations of climate variables for the Rift Valley Lakes Basin, Ethiopia Y. Woldemariam et al. https://doi.org/10.1007/s00704-025-05356-8
8066. A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 Y. Li et al. https://doi.org/10.1017/jog.2021.28
8067. Potential of breadfruit cultivation to contribute to climate-resilient low latitude food systems L. Yang et al. https://doi.org/10.1371/journal.pclm.0000062
8068. BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098 A. Reichmuth et al. https://doi.org/10.1038/s41597-025-04507-w
8069. Assessing Earth system responses in mitigation scenarios with activity-driven simulation of carbon dioxide removal J. Schwinger et al. https://doi.org/10.5194/esd-17-1341-2026
8070. The Importance of Accounting for the North Atlantic Oscillation When Applying Observational Constraints to European Climate Projections A. Ballinger et al. https://doi.org/10.1029/2023GL103431
8071. Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon X. Xin et al. https://doi.org/10.1002/joc.6590
8072. A warming climate will make Australian soil a net emitter of atmospheric CO2 R. Viscarra Rossel et al. https://doi.org/10.1038/s41612-024-00619-z
8073. Emergent constraints on future change projections of mean and extreme temperature and precipitation in the global maize harvesting area H. Shiogama et al. https://doi.org/10.1088/1748-9326/ae3194
8074. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation C. Burgard et al. https://doi.org/10.5194/tc-14-2387-2020
8075. Contemporary Issues in Québec’s Temperate Forest — Part 4: Climate Change L. Duchesne et al. https://doi.org/10.5558/tfc2026-011
8076. Зміна клімату міста Львова: ретроспективна та перспективна характеристики І. Круглов et al. https://doi.org/10.30970/vgg.2024.57.13664
8077. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. https://doi.org/10.1029/2020EF001520
8078. A continuous decline of global seasonal wind speed range over land since 1980 L. Zhou et al. https://doi.org/10.1175/JCLI-D-21-0112.1
8079. A Moderate Mitigation Can Significantly Delay the Emergence of Compound Hot Extremes F. Ma et al. https://doi.org/10.1029/2021JD035427
8080. Skilful prediction of cod stocks in the North and Barents Sea a decade in advance V. Koul et al. https://doi.org/10.1038/s43247-021-00207-6
8081. The Iceberg Model of Change: A taxonomy differentiating approaches to change C. Mahringer et al. https://doi.org/10.1016/j.heliyon.2025.e41952
8082. Benchmarking Deep Learning Against Statistical Baselines and a Physical Climate-Model Comparator for Station-Scale Meteorological Forecasting: A 100-Station Study from the Western Balkans D. Nikolić et al. https://doi.org/10.3390/ai7090329
8083. Fast expansion and slow contraction of the ITCZ in response to CO 2 forcing J. Zhang & S. Kang https://doi.org/10.1126/sciadv.aef2833
8084. Global assessment of invasion risk: Ardisia elliptica, one of the most noxious tropical shrubs in the world P. Adhikari et al. https://doi.org/10.1186/s13717-025-00622-z
8085. Assessing Precipitation Over the Amazon Basin as Simulated by a Storm‐Resolving Model L. Paccini & B. Stevens https://doi.org/10.1029/2022JD037436
8086. Deciphering China's Complex Pattern of Summer Precipitation Trends M. Li et al. https://doi.org/10.1029/2022EF002797
8087. Projection Of Regional Climate Change For 2023–2064 In The Northern Part Of The Western Russian Arctic: A Support For Russian Railways A. Kostianoy et al. https://doi.org/10.24057/2071-9388-2025-4179
8088. A framework for creating sustainable rainwater harvesting and reuse strategies for urban landscape irrigation in a changing climate S. Li et al. https://doi.org/10.1016/j.jenvman.2025.126852
8089. Analysis of the Atmospheric Water Cycle for the Laurentian Great Lakes Region Using CMIP6 Models S. Minallah & A. Steiner https://doi.org/10.1175/JCLI-D-20-0751.1
8090. Role of atmospheric horizontal resolution in simulating tropical and subtropical South American precipitation in HadGEM3-GC31 P. Monerie et al. https://doi.org/10.5194/gmd-13-4749-2020
8091. Early-twentieth-century cold bias in ocean surface temperature observations S. Sippel et al. https://doi.org/10.1038/s41586-024-08230-1
8092. Uncovering the strengths and weaknesses of an ensemble of quantile mapping methods for downscaling precipitation change in Southern Africa S. Mendoza Paz & P. Willems https://doi.org/10.1016/j.ejrh.2022.101104
8093. Projection of future changes in the summer thermal stress index in Romania using statistical downscaling and associated uncertainties A. Busuioc et al. https://doi.org/10.3354/cr01689
8094. Abyssal ocean overturning slowdown and warming driven by Antarctic meltwater Q. Li et al. https://doi.org/10.1038/s41586-023-05762-w
8095. Coupled Model Intercomparison Project Phase 6 simulations of the spatial structure of rainfall variability over East Africa: Evaluation and projection D. Mbigi et al. https://doi.org/10.1002/joc.7868
8096. GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties S. Hartke et al. https://doi.org/10.1038/s41597-024-04205-z
8097. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
8098. Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms F. Di Nunno & F. Granata https://doi.org/10.1016/j.agwat.2023.108232
8099. Ensemble Species Distribution Modeling Reveals Stable High-Suitability Areas and Conservation Priorities for Stephania tetrandra in China Under CMIP6 Scenarios J. Wang et al. https://doi.org/10.3390/d18030179
8100. Pervasive Permafrost Thaw Exacerbates Future Risk of Water Shortage Across the Tibetan Plateau T. Wang et al. https://doi.org/10.1029/2022EF003463
8101. Carbon storage estimation in a secondary tropical forest at CIEE Sustainability Center, Monteverde, Costa Rica A. Paniagua-Ramirez et al. https://doi.org/10.1038/s41598-021-03004-5
8102. Enjeux contemporains en forêt tempérée au Québec — Partie 4 : Les changements climatiques L. Duchesne et al. https://doi.org/10.5558/tfc2026-012
8103. High-Resolution Downscaled CMIP6 Projections dataset of Key Climate Variables for Senegal A. Mbengue et al. https://doi.org/10.1038/s41597-026-07059-9
8104. A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean L. Zhang & Z. Xue https://doi.org/10.5194/bg-19-4589-2022
8105. Decreased northern hemisphere precipitation from consecutive CO2 doublings is associated with significant AMOC weakening X. Zhang et al. https://doi.org/10.1088/2752-5295/ad929c
8106. Increasing Socioeconomic Exposure to Compound Dry and Hot Events Under a Warming Climate in the Yangtze River Basin J. Zhang et al. https://doi.org/10.3390/su162411264
8107. Projected Climate‐Driven Changes of Water Table Depth in the World's Major Groundwater Basins M. Costantini et al. https://doi.org/10.1029/2022EF003068
8108. Carbon Cycle Dynamics: Sources, Sinks, and Fluxes in Changing Climates A. K https://doi.org/10.63090/IJPSRS/3139.8995.0004
8109. Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise K. Arjdal et al. https://doi.org/10.1002/asl.1180
8110. Predictive optimization of educational buildings' environmental performance under future climate scenarios using Catboost and SHAP Y. Hu et al. https://doi.org/10.1016/j.solener.2025.113746
8111. Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models A. Akinsanola et al. https://doi.org/10.1088/1748-9326/abed7a
8112. Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data X. Li et al. https://doi.org/10.1016/j.cliser.2024.100488
8113. Historical drivers and future streamflow variations of the Kura River in the Western Transcaucasia region of Georgia: Analysis of tree-ring chronologies from 1720 to 2021 CE Z. Bakhtiyorov et al. https://doi.org/10.1016/j.palaeo.2024.112529
8114. A saddle-node bifurcation may be causing the AMOC collapse in the Community Earth System Model R. van Westen et al. https://doi.org/10.5194/esd-16-2063-2025
8115. Simulation of the Northern and Southern Hemisphere Annular Modes by CAMS-CSM S. Nan et al. https://doi.org/10.1007/s13351-019-8099-9
8116. Examining the Ability of CMIP6 Models to Reproduce the Upwelling SST Imprint in the Eastern Boundary Upwelling Systems R. Varela et al. https://doi.org/10.3390/jmse10121970
8117. Diverging Fates of the Pacific Ocean Oxygen Minimum Zone and Its Core in a Warming World J. Busecke et al. https://doi.org/10.1029/2021AV000470
8118. Subsurface Cooling in the Tropical Pacific Under a Warming Climate W. Ju et al. https://doi.org/10.1029/2021JC018225
8119. The seasonal cycle of cloud radiative effects over Congo Basin based on CERES observation and comparison to CMIP6 models A. Dommo et al. https://doi.org/10.1016/j.atmosres.2023.106820
8120. Model structures amplify uncertainty in predicted soil carbon responses to climate change Z. Shi et al. https://doi.org/10.1038/s41467-018-04526-9
8121. An Overview of Interactions and Feedbacks Between Ice Sheets and the Earth System J. Fyke et al. https://doi.org/10.1029/2018RG000600
8122. Projections of central Arctic summer sea surface temperatures in CMIP6 J. Han et al. https://doi.org/10.1088/1748-9326/ad0c8a
8123. Critical role of low cloud feedback in irreversible sea level rise S. Wang et al. https://doi.org/10.1038/s41467-026-72898-4
8124. Mei‐yu Front Assessment in CMIP6 Earth System Models During the East Asian Summer Monsoon K. Ng et al. https://doi.org/10.1002/joc.8810
8125. Recent equatorward shift of the summer North Atlantic jet dominated by internal climate variability C. Sheng et al. https://doi.org/10.1126/sciadv.aee8136
8126. Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics F. Meunier et al. https://doi.org/10.5194/gmd-15-7573-2022
8127. Probabilistic corrosion prediction of marine steel under future climate change scenarios using physics-informed Gaussian process regression M. Kim et al. https://doi.org/10.1038/s41598-026-73740-z
8128. Inequalities in Air Pollution Exposure and Attributable Mortality in a Low Carbon Future C. Reddington et al. https://doi.org/10.1029/2023EF003697
8129. Global and regional changes in working-age population exposure to heat extremes under climate change X. Chen et al. https://doi.org/10.1007/s11442-023-2157-z
8130. Detection and attribution of extreme precipitation events over the Asian monsoon region T. Dong et al. https://doi.org/10.1016/j.wace.2022.100497
8131. Projected changes in average and extreme precipitation under global warming in Vietnam T. Tran et al. https://doi.org/10.1007/s11069-025-07386-x
8132. Robust Evaluation of ENSO in Climate Models: How Many Ensemble Members Are Needed? J. Lee et al. https://doi.org/10.1029/2021GL095041
8133. Enhancing school buildings energy efficiency under climate change: A comprehensive analysis of energy, cost, and comfort factors T. Ashrafian https://doi.org/10.1016/j.jobe.2023.107969
8134. Impacts of Different Cumulus Schemes on the Pathways through which SST Provides Feedback to the Madden–Julian Oscillation J. Fu et al. https://doi.org/10.1175/JCLI-D-17-0432.1
8135. Interannual Covariation of the North American and African Summer Monsoons W. Luo et al. https://doi.org/10.1002/joc.8649
8136. Impact of stratospheric polar vortex variability on Antarctic sea ice in CMIP6 models B. Mezzina et al. https://doi.org/10.1007/s00382-025-07765-x
8137. Future changes in surface solar radiation over India: A bias-corrected and downscaled assessment of CMIP6 projections for renewable energy planning A. Jadhav & R. Bhawar https://doi.org/10.1016/j.egycc.2025.100213
8138. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. https://doi.org/10.1038/s43017-023-00456-3
8139. Towards operational predictions of the near-term climate Y. Kushnir et al. https://doi.org/10.1038/s41558-018-0359-7
8140. Detection and Attribution of Changes in Thermal Discomfort over China during 1961–2014 and Future Projections W. Li et al. https://doi.org/10.1007/s00376-021-1168-x
8141. Climates of Warm Earth-like Planets. II. Rotational “Goldilocks” Zones for Fractional Habitability and Silicate Weathering T. Jansen et al. https://doi.org/10.3847/1538-4357/ab113d
8142. Modulation of Arctic Sea Ice Loss by Atmospheric Teleconnections from Atlantic Multidecadal Variability F. Castruccio et al. https://doi.org/10.1175/JCLI-D-18-0307.1
8143. Summer heat sources changes over the Tibetan Plateau in CMIP6 models Z. Xie & B. Wang https://doi.org/10.1088/1748-9326/ac0279
8144. An assessment of the subduction rate in the CMIP6 historical experiment S. Liu et al. https://doi.org/10.1007/s13131-022-2108-z
8145. Spring snow-albedo feedback from satellite observation, reanalysis and model simulations over the Northern Hemisphere H. Guo & Y. Yang https://doi.org/10.1007/s11430-021-9913-1
8146. Emerging low-cloud feedback and adjustment in global satellite observations P. Ceppi et al. https://doi.org/10.5194/acp-26-4153-2026
8147. New classes of climate model emulators to improve paleoclimate reconstructions A. Gaudin & M. Khodri https://doi.org/10.5194/gmd-19-7135-2026
8148. Time-varying changes and uncertainties in the CMIP6 ocean carbon sink from global to local scale P. Gooya et al. https://doi.org/10.5194/esd-14-383-2023
8149. The understory microclimate in agroforestry now and in the future – a case study of Arabica coffee in its native range F. Zignol et al. https://doi.org/10.1016/j.agrformet.2023.109586
8150. The Pacific Equatorial Undercurrent in Three Generations of Global Climate Models and Glider Observations K. Karnauskas et al. https://doi.org/10.1029/2020JC016609
8151. Distributional Response of <i>Paeonia Decomposita</i> to Climate Change and Conservation Strategies M. Liu et al. https://doi.org/10.15244/pjoes/188894
8152. Future CH4 as modelled by a fully coupled Earth system model: prescribed GHG concentrations vs. interactive CH4 sources and sinks U. Im et al. https://doi.org/10.1088/2752-5295/adb3c0
8153. A high-resolution, two-millennium monthly downscaled climate dataset for North America P. Guaita & P. Crippa https://doi.org/10.1038/s41597-026-07572-x
8154. Atlantic Multidecadal Variability modulates the climate impacts of El Niño–Southern Oscillation in Australia P. Trascasa-Castro et al. https://doi.org/10.1088/1748-9326/ace920
8155. Assessment of precipitation and near-surface temperature simulation by CMIP6 models in South America M. Reboita et al. https://doi.org/10.1088/2752-5295/ad3fdb
8156. Climate and human‐driven changes in malaria vector distribution in China: implications for Anopheles species management M. Yan et al. https://doi.org/10.1002/ps.70002
8157. HEPPA-II model–measurement intercomparison project: EPP indirect effects during the dynamically perturbed NH winter 2008–2009 B. Funke et al. https://doi.org/10.5194/acp-17-3573-2017
8158. On the role of moist and dry processes in atmospheric blocking biases in the Euro-Atlantic region in CMIP6 E. Dolores-Tesillos et al. https://doi.org/10.5194/wcd-6-471-2025
8159. Anthropogenic impacts on changes in summer extreme precipitation over China during 1961–2014: roles of greenhouse gases and anthropogenic aerosols Y. Guo et al. https://doi.org/10.1007/s00382-022-06453-4
8160. Standardizing the factors used in wind farm site suitability models: A review J. Wimhurst et al. https://doi.org/10.1016/j.heliyon.2023.e15903
8161. The fast response of Sahel precipitation to climate change allows effective mitigation action P. Monerie et al. https://doi.org/10.1038/s41612-021-00179-6
8162. Climate, Variability, and Climate Sensitivity of “Middle Atmosphere” Chemistry Configurations of the Community Earth System Model Version 2, Whole Atmosphere Community Climate Model Version 6 (CESM2(WACCM6)) N. Davis et al. https://doi.org/10.1029/2022MS003579
8163. Exploring the spatiotemporal influence of climate on American avian migration with random forests I. Bick et al. https://doi.org/10.1038/s41598-025-06961-3
8164. Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. https://doi.org/10.5194/gmd-17-143-2024
8165. Peak refreezing in the Greenland firn layer under future warming scenarios B. Noël et al. https://doi.org/10.1038/s41467-022-34524-x
8166. A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods M. Kadkhodazadeh et al. https://doi.org/10.3390/su14052601
8167. Regional disparities and seasonal differences in climate risk to rice labour C. Simpson et al. https://doi.org/10.1088/1748-9326/ac3288
8168. Convection-permitting simulations reveal expanded rainfall extremes of tropical cyclones affecting South Korea due to anthropogenic warming M. Lee et al. https://doi.org/10.1038/s41612-023-00509-w
8169. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. https://doi.org/10.5194/acp-22-2095-2022
8170. Future water storage changes over the Mediterranean, Middle East, and North Africa in response to global warming and stratospheric aerosol intervention A. Rezaei et al. https://doi.org/10.5194/esd-15-91-2024
8171. Uncertainty and Bias in Global to Regional Scale Assessments of Current and Future Coastal Flood Risk J. Hinkel et al. https://doi.org/10.1029/2020EF001882
8172. North Atlantic Oscillation response in GeoMIP experiments G6solar and G6sulfur: why detailed modelling is needed for understanding regional implications of solar radiation management A. Jones et al. https://doi.org/10.5194/acp-21-1287-2021
8173. Precipitation over semi-arid regions of North Hemisphere affected by Atlantic Multidecadal Oscillation K. Zhu et al. https://doi.org/10.1016/j.atmosres.2021.105801
8174. A long-term decline in downward surface solar radiation F. Song et al. https://doi.org/10.1093/nsr/nwaf007
8175. Possible Climate Change in Russia in the 21st Century Based on the INM-CM5-0 Climate Model E. Volodin https://doi.org/10.3103/S1068373922050016
8176. Marine heatwaves and cold-spells in global coral reef zones Y. Yao & C. Wang https://doi.org/10.1016/j.pocean.2022.102920
8177. Satellite nadir-viewing geometry affects the magnitude and detectability of long-term trends in stratospheric ozone L. Rivoire et al. https://doi.org/10.5194/acp-25-2269-2025
8178. Climate change and its impact on spatial and temporal distribution of visceral leishmaniasis transmission risk in Nepal B. Acharya et al. https://doi.org/10.1186/s12879-025-11757-x
8179. Evaluating boreal summer circulation patterns of CMIP6 climate models over the Asian region L. Bu et al. https://doi.org/10.1007/s00382-021-05914-6
8180. Climate and land use change threaten irrigation water quality in Bangladesh: machine learning and global climate models reveal future risks M. Islam et al. https://doi.org/10.2166/h2oj.2025.028
8181. Spatio-Temporal Variation of Precipitation in the Qinling Mountains from 1970 to 2100 Based on CMIP6 Data Z. Zhang et al. https://doi.org/10.3390/su14148654
8182. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality D. Yang et al. https://doi.org/10.1016/j.rser.2022.112348
8183. Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans P. Narenpitak et al. https://doi.org/10.1038/s41598-024-73149-6
8184. Model assessments and future projections of spring climate extremes in China based on CMIP6 models Y. Ai et al. https://doi.org/10.1002/joc.7492
8185. A machine learning approach to identify upper ocean water masses in the Indian Ocean S. Singh & M. Sapkal https://doi.org/10.1007/s40012-025-00417-9
8186. A power-sector optimization framework for assessing mitigation-adaptation synergies under climate change in a multi-climate country D. Razeghi-Jahromi & H. Khajehpour https://doi.org/10.1016/j.esr.2026.102290
8187. Future Directions in Precipitation Science F. Tapiador et al. https://doi.org/10.3390/rs13061074
8188. A New Chemistry-Climate Model GRIMs-CCM: Model Evaluation of Interactive Chemistry-Meteorology Simulations S. Lee et al. https://doi.org/10.1007/s13143-022-00281-6
8189. The global Sahel monsoon ocean-pressure index reconciles its regional and large-scale features A. Tamoffo et al. https://doi.org/10.1038/s41612-025-01226-2
8190. Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change X. Yang et al. https://doi.org/10.1038/s41477-026-02240-9
8191. Dynamical downscaling of unforced interannual sea-level variability in the North-West European shelf seas J. Tinker et al. https://doi.org/10.1007/s00382-020-05378-0
8192. Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil D. Araujo et al. https://doi.org/10.5327/Z2176-94781868
8193. Was there a volcanic-induced long-lasting cooling over the Northern Hemisphere in the mid-6th–7th century? E. van Dijk et al. https://doi.org/10.5194/cp-18-1601-2022
8194. Conservation Priority Areas for Endemic and Threatened Bird Species in the Brazilian Amazon Under Climate Change: A Multifaceted Approach K. de Moraes et al. https://doi.org/10.1111/acv.70107
8195. Future changes in the influence of the Southern Annular Mode on South Pacific chlorophyll-a in the CESM2 large ensemble J. Yoon et al. https://doi.org/10.1088/1748-9326/ae2b85
8196. Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application C. Natel et al. https://doi.org/10.5194/gmd-18-4317-2025
8197. Observational Constraint on the Climate Sensitivity to Atmospheric CO2 Concentrations Changes Derived from the 1971–2017 Global Energy Budget J. Chenal et al. https://doi.org/10.1175/JCLI-D-21-0565.1
8198. Pressure level of maximum radiative heating enhancement in response to increasing CO2 over the global monsoon area X. Qu et al. https://doi.org/10.1016/j.aosl.2021.100037
8199. Sequential learning of climate change via a physical-parameter-based state-space model and Bayesian inference Y. Lai & M. Pozzi https://doi.org/10.1007/s10584-024-03739-w
8200. Accelerated China’s cold regions contraction under climate warming X. Wang et al. https://doi.org/10.1016/j.gr.2025.08.004
8201. Spatial Assessment of Water Use Efficiency (SDG Indicator 6.4.1) for Regional Policy Support C. Giupponi et al. https://doi.org/10.3389/fenvs.2018.00141
8202. Projection of Extreme Temperature Events over the Mediterranean and Sahara Using Bias-Corrected CMIP6 Models H. Babaousmail et al. https://doi.org/10.3390/atmos13050741
8203. Ionization in the Earth’s Atmosphere Due to Isotropic Energetic Electron Precipitation: Ion Production and Primary Electron Spectra I. Mironova et al. https://doi.org/10.3390/rs13204161
8204. Urbanization’s role in shaping ornamental tree diversity: a remote sensing and future scenario-based perspective D. Xu et al. https://doi.org/10.1080/15481603.2025.2557050
8205. The Effect of Explicit Convection on Climate Change in the West African Monsoon and Central West African Sahel Rainfall L. Jackson et al. https://doi.org/10.1175/JCLI-D-21-0258.1
8206. An Ensemble Covariance Framework for Quantifying Forced Climate Variability and Its Time of Emergence V. Yettella et al. https://doi.org/10.1175/JCLI-D-17-0719.1
8207. Evaluation of coupled model intercomparison project phase 6 models in simulating precipitation and its possible relationship with sea surface temperature over Myanmar Z. Sein et al. https://doi.org/10.3389/fenvs.2022.993802
8208. Reflexive climate service infrastructure relations P. Stegmaier et al. https://doi.org/10.1016/j.cliser.2020.100151
8209. Modelling supraglacial debris-cover evolution from the single-glacier to the regional scale: an application to High Mountain Asia L. Compagno et al. https://doi.org/10.5194/tc-16-1697-2022
8210. Climate Change Impacts on Agricultural Suitability in Rio Grande do Sul, Brazil E. Haggerty et al. https://doi.org/10.3390/environments12070222
8211. Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia M. Kleinhans et al. https://doi.org/10.1007/s10641-026-01818-8
8212. How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
8213. Biases in the albedo sensitivity to deforestation in CMIP5 models and their impacts on the associated historical radiative forcing Q. Lejeune et al. https://doi.org/10.5194/esd-11-1209-2020
8214. Modeling Time-Averaged Surface Mass Balance of the Elbrus Glacial Complex (Central Caucasus) and Evaluation of the Uncertainties Caused by Random Weather Fluctuations O. Rybak et al. https://doi.org/10.1007/s00024-026-03952-x
8215. Projecting and valuing climate change impacts on anxiety and depression in the contiguous USA: a damage function approach A. Belova et al. https://doi.org/10.1016/j.lanplh.2025.101426
8216. Development of the DNDC-SubS 1.0 model for simulating long-term dynamics of crop yield and soil organic carbon under subsoiling W. Guo et al. https://doi.org/10.1016/j.agsy.2026.104852
8217. Global rainbow distribution under current and future climates K. Carlson et al. https://doi.org/10.1016/j.gloenvcha.2022.102604
8218. Effects of climate change and drought attributes in Nigeria based on RCP 8.5 climate scenario A. Ogunrinde et al. https://doi.org/10.1016/j.pce.2022.103339
8219. Using artificial intelligence to identify CMIP6 models from daily SLP maps P. Yiou & S. Thao https://doi.org/10.1038/s41612-025-01246-y
8220. Projected Changes and Time of Emergence of Temperature Extremes Over Australia in CMIP5 and CMIP6 X. Deng et al. https://doi.org/10.1029/2021EF002645
8221. Global concurrent climate extremes exacerbated by anthropogenic climate change S. Zhou et al. https://doi.org/10.1126/sciadv.abo1638
8222. Implications of climate change on surface temperature in North Indian states: evidence from CMIP6 model ensembles A. Awasthi et al. https://doi.org/10.3389/fenvs.2023.1264757
8223. From stable online coupling to decade-long climate simulations: a machine learning parameterization for cloud microphysics in ICON E. Sarauer et al. https://doi.org/10.1088/3049-4753/ae9e2e
8224. Chaotic behavior learning via information tracking J. Ren et al. https://doi.org/10.1016/j.chaos.2023.113927
8225. Multi-model ensemble of frost risks across East Asia (1850–2100) J. Richards & P. Brimblecombe https://doi.org/10.1007/s10584-024-03723-4
8226. An implicit barotropic mode solver for MPAS-ocean using a modern Fortran solver interface H. Kang et al. https://doi.org/10.1177/10943420231205601
8227. Solar radiation variability across Nigeria’s climatic zones: a validation and projection study with CORDEX, CMIP5, and CMIP6 models C. Olusegun et al. https://doi.org/10.1007/s40808-023-01848-6
8228. Multimodel Surface Temperature Responses to Removal of U.S. Sulfur Dioxide Emissions A. Conley et al. https://doi.org/10.1002/2017JD027411
8229. Land carbon-concentration and carbon-climate feedbacks are significantly reduced by nitrogen and phosphorus limitation T. Ziehn et al. https://doi.org/10.1088/1748-9326/ac0e62
8230. Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations X. Hu et al. https://doi.org/10.1016/j.accre.2021.04.002
8231. Projected effects of climate change in precipitation and streamflows of the Upper Orinoco River Basin from global and regional climate models H. Salas et al. https://doi.org/10.2166/wcc.2024.659
8232. Rapid changes in heatwaves pose dual challenge in Eastern China and its adjacent seas Y. Yao et al. https://doi.org/10.3389/fmars.2022.979391
8233. Exploring the ocean mesoscale at reduced computational cost with FESOM 2.5: efficient modeling strategies applied to the Southern Ocean N. Beech et al. https://doi.org/10.5194/gmd-17-529-2024
8234. Observational constraints imply limited future Atlantic meridional overturning circulation weakening D. Bonan et al. https://doi.org/10.1038/s41561-025-01709-0
8235. A spatial weather generator based on conditional deep convolution generative adversarial nets (cDCGAN) J. Sha et al. https://doi.org/10.1007/s00382-023-06971-9
8236. Increased Population Exposure to Heat and Wet Extremes Moving From Chinese to Global 1.5 or 2.0°C Warming P. Qin & Z. Xie https://doi.org/10.1029/2023JD039615
8237. Dynamical systems theory sheds new light on compound climate extremes in Europe and Eastern North America P. De Luca et al. https://doi.org/10.1002/qj.3757
8238. Projected Regional 1.50°C and 2.00°C Warming Threshold-crossing Time Worldwide Using the CMIP6 Models Y. Meng et al. https://doi.org/10.1007/s11769-023-1372-y
8239. Reliability-based durability requirements for RC structures made of low-carbon concretes in climate change conditions D. Val et al. https://doi.org/10.1080/10286608.2025.2478008
8240. Algorithmically detected rain-on-snow flood events in different climate datasets: a case study of the Susquehanna River basin C. Zarzycki et al. https://doi.org/10.5194/nhess-24-3315-2024
8241. Impact assessment of future land use and climate change on Talar River streamflow—Mazandaran, Iran H. Ruigar et al. https://doi.org/10.1007/s00704-025-05418-x
8242. Analysis and Attribution of Climate Change in the Upper Atmosphere From 1950 to 2015 Simulated by WACCM‐X I. Cnossen https://doi.org/10.1029/2020JA028623
8243. Atmospheric destabilization leads to Arctic Ocean winter surface wind intensification M. Zapponini & H. Goessling https://doi.org/10.1038/s43247-024-01428-1
8244. Future projections for terrestrial biomes indicate widespread warming and moisture reduction in forests up to 2100 in South America L. Anjos et al. https://doi.org/10.1016/j.gecco.2020.e01441
8245. Increased future ocean heat uptake constrained by Antarctic sea ice extent L. Vogt et al. https://doi.org/10.5194/esd-16-1453-2025
8246. Projections of northern hemisphere extratropical climate underestimate internal variability and associated uncertainty C. O’Reilly et al. https://doi.org/10.1038/s43247-021-00268-7
8247. Carbon sequestration service in the Atlantic Ocean: an assessment from coastal to ocean ecosystems S. Zunino et al. https://doi.org/10.1016/j.earscirev.2026.105536
8248. Changes in extreme precipitation across South Asia for each 0.5 °C of warming from 1.5 °C to 3.0°C above pre-industrial levels S. Mondal et al. https://doi.org/10.1016/j.atmosres.2021.105961
8249. Irreversible changes in the sea surface temperature threshold for tropical convection to CO2 forcing I. Park et al. https://doi.org/10.1038/s43247-024-01751-7
8250. Tropical Cyclone Projections: Changing Climate Threats for Pacific Island Defense Installations M. Widlansky et al. https://doi.org/10.1175/WCAS-D-17-0112.1
8251. CMIP6 model projections leave no room for permafrost to persist in Western Siberia under the SSP5-8.5 scenario G. Alexandrov et al. https://doi.org/10.1007/s10584-021-03292-w
8252. Extreme climate changes over three major river basins in China as seen in CMIP5 and CMIP6 X. Zhu et al. https://doi.org/10.1007/s00382-021-05767-z
8253. Opposite Impacts of Interannual and Decadal Pacific Variability in the Extratropics M. Seabrook et al. https://doi.org/10.1029/2022GL101226
8254. Can wet heatwaves be represented by CMIP6 models and bias-corrected NEX-GDDP-CMIP6? Z. Zhao et al. https://doi.org/10.1016/j.wace.2025.100790
8255. Spatio-temporal variations in global surface soil moisture based on multiple datasets: Intercomparison and climate drivers Y. Guan et al. https://doi.org/10.1016/j.jhydrol.2023.130095
8256. Pacific Decadal Oscillation Influences Tropical Oxygen Minimum Zone Extent and Obscures Anthropogenic Changes M. Poupon et al. https://doi.org/10.1029/2022GL102123
8257. Adiabatic and Diabatic Signatures of Ocean Temperature Variability R. Holmes et al. https://doi.org/10.1175/JCLI-D-21-0695.1
8258. Adaptations of potato production to future climate change by optimizing planting date, irrigation and fertilizer in the Agro-Pastoral Ecotone of China J. Tang et al. https://doi.org/10.1016/j.crm.2024.100604
8259. Impacts of climate change and reservoir operation on droughts: a case study in the Upper Part of Dong Nai River Basin, Vietnam H. Pham & P. Vo https://doi.org/10.2166/wcc.2025.579
8260. Risk assessment of transboundary locust habitat distribution and migration pathways under climate change: a case study of Kazakhstan and Xinjiang, China X. Guo et al. https://doi.org/10.1080/19475705.2026.2626787
8261. Monthly 0.05° winter months snow depth dataset for the Northern Hemisphere from 21 CMIP6 models S. Lin et al. https://doi.org/10.1038/s41597-025-04925-w
8262. Assessing the invasive risk of Rhinotermitidae in China under current and future global warming scenarios using the MaxEnt model R. Hussain et al. https://doi.org/10.1186/s12983-026-00600-x
8263. Differential Vegetation Feedback on the Global Land Monsoon System during the Mid-Holocene and Last Interglacial Z. Wang et al. https://doi.org/10.1007/s00376-024-4284-6
8264. Uncertainties, Limits, and Benefits of Climate Change Mitigation for Soil Moisture Drought in Southwestern North America B. Cook et al. https://doi.org/10.1029/2021EF002014
8265. Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective P. Nowack & D. Watson-Parris https://doi.org/10.5194/acp-25-2365-2025
8266. Ubiquity of human-induced changes in climate variability K. Rodgers et al. https://doi.org/10.5194/esd-12-1393-2021
8267. A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan Z. Ali et al. https://doi.org/10.1002/joc.8346
8268. MuSTC: A Multi-Stage Spatio–Temporal Clustering Method for Uncovering the Regionality of Global SST H. Peng et al. https://doi.org/10.3390/atmos14091358
8269. Projected near-term changes in monsoon precipitation over Peninsular Malaysia in the HighResMIP multi-model ensembles J. Liang et al. https://doi.org/10.1007/s00382-022-06363-5
8270. Analysis of temporal trends and spatial distributions in top-of-atmosphere shortwave radiation based on multiple datasets from satellites observations, reanalyses, and climate models Y. Zheng et al. https://doi.org/10.1016/j.gloplacha.2025.105040
8271. SouthEast Asia HydrO-meteorological droughT (SEA-HOT) framework: A case study in the Kelantan River Basin, Malaysia M. Tan et al. https://doi.org/10.1016/j.atmosres.2020.105155
8272. Projected ENSO teleconnection on the Southeast Asian climate under global warming D. Nguyen–Le https://doi.org/10.1088/1748-9326/ad0d3e
8273. Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
8274. Understanding the complex dynamics of zebra mussel invasions over several decades in European rivers: drivers, impacts and predictions P. Haubrock et al. https://doi.org/10.1111/oik.10283
8275. Corridor-scale sea-ice navigability and its interannual volatility: a multi-model assessment of the Arctic Europe–Pacific route R. Wang et al. https://doi.org/10.3389/fmars.2026.1855356
8276. The Sensitivity of Land–Atmosphere Coupling to Modern Agriculture in the Northern Midlatitudes S. McDermid et al. https://doi.org/10.1175/JCLI-D-17-0799.1
8277. On the Development of GFDL's Decadal Prediction System: Initialization Approaches and Retrospective Forecast Assessment X. Yang et al. https://doi.org/10.1029/2021MS002529
8278. Refined Assessment and Future Projections of Indian Summer Monsoon Rainfall Using CMIP6 Models J. Li et al. https://doi.org/10.3390/w15244305
8279. Elevation-dependent pattern of net CO2 uptake across China D. Wei et al. https://doi.org/10.1038/s41467-024-46930-4
8280. Index‐ and model‐dependent projections of East Asian summer monsoon in Coupled Model Intercomparison Project Phase 6 simulations Z. Tian et al. https://doi.org/10.1002/joc.7361
8281. Heat band, rain band and heat low migration: process-based evaluation of some CMIP6 GCMs over West Africa T. Annor et al. https://doi.org/10.1007/s00382-023-06930-4
8282. Forecasting climate change effects on drought using the decadal climate prediction project in arid and semi-arid regions of southeastern Iran F. Shoja et al. https://doi.org/10.1007/s11069-025-07405-x
8283. Probabilistic quantification of global drought risk amplification from temperature-enhanced evapotranspiration under climate change A. Ogunrinde et al. https://doi.org/10.1016/j.gsf.2025.102235
8284. Constraining Decadal Variability Yields Skillful Projections of Near‐Term Climate Change R. Mahmood et al. https://doi.org/10.1029/2021GL094915
8285. Variations of atmospheric circulation anomaly pattern affecting southern China winter extreme low temperature events under ENSO and non-ENSO conditions S. Jiang et al. https://doi.org/10.1007/s00382-026-08276-z
8286. Assessing the Robustness of Arctic Sea Ice Bi‐Stability in the Presence of Atmospheric Feedbacks C. Hankel & E. Tziperman https://doi.org/10.1029/2023JD039337
8287. Climate change decisive for Asia’s snow meltwater supply P. Kraaijenbrink et al. https://doi.org/10.1038/s41558-021-01074-x
8288. Seasonal Changes in Atmospheric Heat Transport to the Arctic Under Increased CO2 L. Hahn et al. https://doi.org/10.1029/2023GL105156
8289. How Exceptional Was the 2015–2019 Central American Drought? T. Anderson et al. https://doi.org/10.1029/2023GL105391
8290. Alkalinity enhancement in subduction regions and the global ocean: efficiency, earth system feedbacks, and scenario sensitivity T. Nagwekar et al. https://doi.org/10.1088/1748-9326/ae293b
8291. Rising Air-Conditioning Use Intensifies Global Warming H. Zhang et al. https://doi.org/10.1038/s41467-026-69393-1
8292. Comprehensive analysis on the energy resilience performance of urban residential sector in hot-humid area of China under climate change. Y. Zou et al. https://doi.org/10.1016/j.scs.2022.104233
8293. The 2023 extreme coastal El Niño: Atmospheric and air-sea coupling mechanisms Q. Peng et al. https://doi.org/10.1126/sciadv.adk8646
8294. High potential for pile-bearing capacity loss and ground subsidence over permafrost regions across the Northern Hemisphere G. Yin et al. https://doi.org/10.1016/j.gloplacha.2023.104156
8295. CO2 fertilization enhances vegetation productivity and reduces ecological drought in India N. Dubey & S. Ghosh https://doi.org/10.1088/1748-9326/acd5e7
8296. Storylines of Sahel Precipitation Change: Roles of the North Atlantic and Euro‐Mediterranean Temperature P. Monerie et al. https://doi.org/10.1029/2023JD038712
8297. Four decades of hindcasts reveal intensification, seasonal shifts, and changing drivers of storm surge extremes in Northern and Western Alaska T. Miesse et al. https://doi.org/10.1016/j.scitotenv.2026.182042
8298. Could climate change exacerbate droughts in Bangladesh in the future? M. Rahman et al. https://doi.org/10.1016/j.jhydrol.2023.130096
8299. Disappearing landscapes: The Arctic at +2.7°C global warming J. Stroeve et al. https://doi.org/10.1126/science.ads1549
8300. Atmospheric distribution of HCN from satellite observations and 3-D model simulations A. Bruno et al. https://doi.org/10.5194/acp-23-4849-2023
8301. Changing Degree of Convective Organization as a Mechanism for Dynamic Changes in Extreme Precipitation A. Pendergrass https://doi.org/10.1007/s40641-020-00157-9
8302. WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting S. Rasp et al. https://doi.org/10.1029/2020MS002203
8303. Indian Summer Monsoon: Predictions and Applications S. Bhattacharyya et al. https://doi.org/10.1007/s41745-025-00491-7
8304. Improving the Prediction of Treefrog Species Vulnerability to Climate Change: The Role of Abundance C. Rangel & M. Weber https://doi.org/10.1111/jbi.70289
8305. A Guide to Updating the US Government’s Social Cost of Carbon T. Carleton & M. Greenstone https://doi.org/10.1086/720988
8306. Positive Atlantic Multidecadal Oscillation–La Niña synergy enhances recent East Asian dust activity via hydrothermal anomalies R. Zhao et al. https://doi.org/10.1016/j.scib.2026.03.054
8307. Interactive effects of body mass changes and species‐specific morphology on flight behavior of chick‐rearing Antarctic fulmarine petrels under diurnal wind patterns N. Dehnhard et al. https://doi.org/10.1002/ece3.7501
8308. Origins of the overestimated Indian Ocean dipole amplitude in current coupled climate models X. Ju et al. https://doi.org/10.1007/s00382-025-07673-0
8309. Assessment of Regional Fire Carbon Emissions during 2003–23 Simulated by Multiple CMIP6 Models H. Wang et al. https://doi.org/10.1007/s00376-025-5309-5
8310. Influence of radiative forcing factors on ground–air temperature coupling during the last millennium: implications for borehole climatology C. Melo-Aguilar et al. https://doi.org/10.5194/cp-14-1583-2018
8311. Uneven future greening across the northern high latitudes: Regional responses to rising CO2 K. Power https://doi.org/10.1016/j.ecolmodel.2025.111193
8312. Atlantic multidecadal variability and the implications for North European precipitation F. Börgel et al. https://doi.org/10.1088/1748-9326/ac5ca1
8313. Heatwave–blocking relation change likely dominates over decrease in blocking frequency under global warming P. Chan et al. https://doi.org/10.1038/s41612-022-00290-2
8314. Radiative and climate effects of aerosol scattering in long-wave radiation based on global climate modelling T. Drugé et al. https://doi.org/10.5194/acp-25-11651-2025
8315. Greenhouse-gas forced changes in the Atlantic meridional overturning circulation and related worldwide sea-level change M. Couldrey et al. https://doi.org/10.1007/s00382-022-06386-y
8316. Decomposing the global and regional aerosol effective radiative forcing associated with strong versus weak air quality policies by Mid-21st century R. Allen et al. https://doi.org/10.1088/2752-5295/ae5418
8317. Subseasonal variability and the “Arctic warming-Eurasia cooling” trend Z. Yin et al. https://doi.org/10.1016/j.scib.2023.02.009
8318. Not all biodiversity rich spots are climate refugia Á. Kocsis et al. https://doi.org/10.5194/bg-18-6567-2021
8319. Impact of diverse configuration in multivariate bias correction methods on large-scale hydrological modelling under climate change K. Ahn et al. https://doi.org/10.1016/j.jhydrol.2023.130406
8320. A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach M. Dorafshan et al. https://doi.org/10.1007/s13201-025-02543-w
8321. Mechanisms of Future Changes in Equatorial Upwelling: CMIP5 Intermodel Analysis M. Terada et al. https://doi.org/10.1175/JCLI-D-19-0128.1
8322. Demystifying global climate models for use in the life sciences D. Schoeman et al. https://doi.org/10.1016/j.tree.2023.04.005
8323. SINGV-RCM: the convection-permitting regional climate model for Singapore V. Prasanna et al. https://doi.org/10.1007/s00382-024-07154-w
8324. Aspen Global Change Institute: 25 Years of Interdisciplinary Global Change Science G. Meehl & R. Moss https://doi.org/10.1175/BAMS-D-15-00204.1
8325. Assessment of the Southern Ocean Sea Surface Temperature Biases in CMIP5 and CMIP6 Models Z. Gao et al. https://doi.org/10.1007/s11802-024-5808-5
8326. Sensitivity of extreme precipitation to warming in a global storm-resolving model M. Contizanetti et al. https://doi.org/10.1088/1748-9326/ae9201
8327. Evaluation and Projection of Near-Surface Wind Speed over China Based on CMIP6 Models H. Deng et al. https://doi.org/10.3390/atmos12081062
8328. Distinctive South and East Asian monsoon circulation responses to global warming T. Li et al. https://doi.org/10.1016/j.scib.2021.12.001
8329. Persistence of inequality in regional warming patterns under net-zero and overshoot pathways A. King et al. https://doi.org/10.1088/1748-9326/aea872
8330. Historical and Future Projection of Wind Speed Based on NEX-GDDP CMIP6 Over Equatorial Africa I. Nooni et al. https://doi.org/10.1007/s41748-025-00747-3
8331. Future high-resolution El Niño/Southern Oscillation dynamics C. Wengel et al. https://doi.org/10.1038/s41558-021-01132-4
8332. Human activities increased compound drought and heat events over China during 1961–2014 X. Wang et al. https://doi.org/10.1002/joc.8625
8333. CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al. https://doi.org/10.5194/gmd-19-2945-2026
8334. Re-appraisal of the global climatic role of natural forests for improved climate projections and policies A. Makarieva et al. https://doi.org/10.3389/ffgc.2023.1150191
8335. Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes P. De Luca et al. https://doi.org/10.1088/1748-9326/acf389
8336. Snowfall-albedo feedbacks could have led to deglaciation of snowball Earth starting from mid-latitudes P. de Vrese et al. https://doi.org/10.1038/s43247-021-00160-4
8337. Persistent Uncertainties in Ocean Net Primary Production Climate Change Projections at Regional Scales Raise Challenges for Assessing Impacts on Ecosystem Services A. Tagliabue et al. https://doi.org/10.3389/fclim.2021.738224
8338. Climatology of Severe Local Storm Environments and Synoptic-Scale Features over North America in ERA5 Reanalysis and CAM6 Simulation F. Li et al. https://doi.org/10.1175/JCLI-D-19-0986.1
8339. Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars M. Satoh et al. https://doi.org/10.1186/s40645-022-00511-5
8340. The Importance of Subsurface Thermal Effects to Indian Ocean Dipole Prediction Revealed by a Skillful Three-Dimensional Deep Learning Model J. Qian et al. https://doi.org/10.1007/s00376-026-5609-4
8341. Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. https://doi.org/10.5194/gmd-13-6383-2020
8342. Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations A. Yool et al. https://doi.org/10.5194/gmd-14-3437-2021
8343. A DRP‐4DVar‐Based Coupled Data Assimilation System With a Simplified Off‐Line Localization Technique for Decadal Predictions Y. He et al. https://doi.org/10.1029/2019MS001768
8344. Predicting China's forest fire regimes at various spatial and temporal scales based on drought characteristics under the Shared Socioeconomic Pathways X. Shao et al. https://doi.org/10.1016/j.nhres.2026.01.004
8345. Characterization of hydro-meteorological droughts based on dynamic future scenarios and effective rainfall over Central Malawi S. Chikabvumbwa et al. https://doi.org/10.1007/s00704-023-04715-7
8346. Agricultural trade externalizes belowground ecosystem loss to climate-stressed exporting nations N. Ahmed et al. https://doi.org/10.1080/13504509.2026.2726387
8347. Assessing effects of future climate change on outdoor thermal stress and building energy performance in severe cold region of China X. Xu et al. https://doi.org/10.1016/j.buildenv.2024.111236
8348. Remote Sensing-Based Analysis of the Coupled Impacts of Climate and Land Use Changes on Future Ecosystem Resilience: A Case Study of the Beijing–Tianjin–Hebei Region J. Ni & F. Xu https://doi.org/10.3390/rs17152546
8349. A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. https://doi.org/10.1007/s12665-024-11982-8
8350. Projected mycotoxin contamination in European wheat under future climate and socioeconomic scenarios X. Wang et al. https://doi.org/10.1038/s41538-026-00858-9
8351. The intensification of winter mid-latitude storm tracks in the Southern Hemisphere R. Chemke et al. https://doi.org/10.1038/s41558-022-01368-8
8352. Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 models X. Li & Z. Li https://doi.org/10.1007/s00382-023-06778-8
8353. Integrating climate change, land-use dynamics, and explainable AI for future landslide susceptibility assessment in the Western Ghats S. Kushwaha et al. https://doi.org/10.1016/j.pce.2026.104764
8354. Present and future relations between ENSO and winter synoptic temperature variability over the Asian-Pacific-American region simulated by CMIP5/6 Y. Jian et al. https://doi.org/10.1175/JCLI-D-21-0210.1
8355. The South Pacific Subtropical Dipole and its relationship to ENSO in CMIP6 models J. Zheng et al. https://doi.org/10.1007/s00382-026-08143-x
8356. Spatiotemporal variation of China’s mariculture potential under climate change X. Liu et al. https://doi.org/10.1007/s11160-023-09814-2
8357. Variability of surface climate in simulations of past and future K. Rehfeld et al. https://doi.org/10.5194/esd-11-447-2020
8358. Spatiotemporal variation of drought in Iraq for shared socioeconomic pathways M. Hamed et al. https://doi.org/10.1007/s00477-022-02343-7
8359. Current and projected impacts of extreme climate events on winter wheat yield in Northern China R. Zeng et al. https://doi.org/10.1038/s43247-025-02954-2
8360. Constrained Emergence of Air Temperature Change Signal in Northern‐Central India From Background Variations K. Zhang et al. https://doi.org/10.1029/2022GL097736
8361. Observed poleward freshwater transport since 1970 T. Sohail et al. https://doi.org/10.1038/s41586-021-04370-w
8362. Southward-shift zonal wind patterns during ENSO in CMIP6 models Y. Gong & T. Li https://doi.org/10.1007/s00382-024-07374-0
8363. Humans have already endangered their shared cultural heritage by amplifying extreme weather events S. Zhao et al. https://doi.org/10.1016/j.culher.2026.02.017
8364. Weakening of Bomb Cyclones over the North Pacific in the Early 21st Century J. Gao et al. https://doi.org/10.1007/s00376-025-4453-2
8365. Simulation Performance and Case Study of Extreme Events in Northwest China Using the BCC-CSM2 Model M. Song et al. https://doi.org/10.3390/rs14194922
8366. Intelligent Systems for Sun-Earth-Anthropogenic Climate Research: A Program for Causal, Hybrid, and Decision-Relevant Modeling M. Hagen https://doi.org/10.4236/gep.2025.1312018
8367. Vegetation-based climate mitigation in a warmer and greener World R. Alkama et al. https://doi.org/10.1038/s41467-022-28305-9
8368. Assessing future changes in tropical cyclone activity in the North Atlantic basin through dynamical downscaling A. Pérez-Alarcón et al. https://doi.org/10.1016/j.isci.2025.113609
8369. Climate Risk and Vulnerability Assessment in the Province of Almeria (Spain) Under Different Climate Change Scenarios S. Barilari et al. https://doi.org/10.3390/cli13070141
8370. Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy E. Lai et al. https://doi.org/10.5194/hess-27-3999-2023
8371. Water quantity and quality modeling of Lake Okeechobee, Florida: a systematic and critical literature review M. Arias et al. https://doi.org/10.1080/10402381.2025.2556413
8372. Deforestation-induced immediate and delayed shifts in moisture recycling: source and sink dynamics across the Amazon K. Nguyen et al. https://doi.org/10.1088/1748-9326/adfd75
8373. Significant impact of forcing uncertainty in a large ensemble of climate model simulations J. Fyfe et al. https://doi.org/10.1073/pnas.2016549118
8374. A weakened Atlantic Meridional Overturning Circulation will affect future heat waves by mostly attenuating their severity D. Duarte et al. https://doi.org/10.1007/s00382-025-07736-2
8375. Role of anthropogenic forcing in Antarctic sea ice variability simulated in climate models Y. Morioka et al. https://doi.org/10.1038/s41467-024-54485-7
8376. Future water management strategies for potato irrigation under multiple climate change scenarios using advanced CMIP6 modeling in subtropical Bangladesh M. Islam et al. https://doi.org/10.1016/j.jafr.2025.102571
8377. Evaluation of FAMIL2 in Simulating the Climatology and Seasonal‐to‐Interannual Variability of Tropical Cyclone Characteristics J. Li et al. https://doi.org/10.1029/2018MS001506
8378. The Atlantic inflow across the Greenland-Scotland ridge in global climate models (CMIP5) C. Heuzé et al. https://doi.org/10.1525/elementa.354
8379. Recent observations and glacier modeling point towards near-complete glacier loss in western Austria (Ötztal and Stubai mountain range) if 1.5 °C is not met L. Hartl et al. https://doi.org/10.5194/tc-19-1431-2025
8380. Mapping the Potential Geographic Distribution of the Heartwater Disease Vector Tick Amblyomma hebraeum Under Climate Change M. Okely et al. https://doi.org/10.3390/ani16101455
8381. Assessing uncertainties in modeling the climate of the Siberian frozen soils by contrasting CMIP6 and LS3MIP Z. Luo et al. https://doi.org/10.5194/tc-19-6547-2025
8382. A case for object capabilities as the foundation of a distributed environmental model and simulation infrastructure M. Berg-Mohnicke & C. Nendel https://doi.org/10.1016/j.envsoft.2022.105471
8383. Reparameterization Required After Model Structure Changes From Carbon Only to Carbon‐Nitrogen Coupling S. Wang et al. https://doi.org/10.1029/2021MS002798
8384. Projected ENSO influences on global crop yields using a climate-crop model ensemble J. Harrington-Tsunogai et al. https://doi.org/10.3354/cr01763
8385. CMIP6 multi-model projections and glacier-explicit hydrological modelling for seasonal runoff shifts in the Hunza River Basin H. Batool et al. https://doi.org/10.1007/s00703-026-01149-4
8386. Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations E. Gordon & N. Diffenbaugh https://doi.org/10.1029/2024GL112729
8387. Climate change alters the Indian Ocean Dipole and weakens its North Atlantic teleconnection D. Fereday et al. https://doi.org/10.1038/s43247-025-02131-5
8388. Climate driven habitat expansion of the bamboo borer under CMIP6 climate change scenarios using MaxEnt modeling D. Mahanta & T. Bhoi https://doi.org/10.1007/s44372-026-00845-0
8389. Environmental drivers of the current and future distribution of high-yielding lacquer trees (Toxicodendron vernicifluum (stokes) F. A. Barkley) S. Zhang et al. https://doi.org/10.1093/forestry/cpad013
8390. Modelling current and future distributions of Aedes aegypti and Aedes albopictus in China under climate change M. Yang et al. https://doi.org/10.1016/j.parint.2026.103336
8391. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. https://doi.org/10.5194/gmd-13-4713-2020
8392. Past, present and future changes in the annual streamflow of the Lancang-Mekong River and their driving mechanisms S. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.174707
8393. Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. https://doi.org/10.1029/2021MS002584
8394. Projection of temperature extremes of Egypt using CMIP6 GCMs under multiple shared socioeconomic pathways M. Hamed et al. https://doi.org/10.1007/s11356-022-24985-4
8395. Improvement in the skill of CMIP6 decadal hindcasts for extreme rainfall events over the Indian summer monsoon region G. Konda et al. https://doi.org/10.1038/s41598-023-48268-1
8396. Less Surface Sea Ice Melt in the CESM2 Improves Arctic Sea Ice Simulation With Minimal Non‐Polar Climate Impacts J. Kay et al. https://doi.org/10.1029/2021MS002679
8397. Anthropogenic aerosol forcing of European windstorms in CMIP6 climate models S. Cusack https://doi.org/10.5194/nhess-26-4663-2026
8398. Evaluation of earth system model and atmospheric inversion using total column CO2 observations from GOSAT and OCO-2 P. Patra et al. https://doi.org/10.1186/s40645-021-00420-z
8399. Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application I. Cintura & A. Arenas https://doi.org/10.3389/fenvs.2025.1564670
8400. GPP dominates the change of WUE trend in the future period H. Dong et al. https://doi.org/10.1007/s00704-026-06189-9
8401. Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans https://doi.org/10.1029/2021JF006073
8402. An analytic theory for the degree of Arctic Amplification W. Zhou et al. https://doi.org/10.1038/s41467-024-48469-w
8403. Present‐day and future climate over central and South America according to CMIP5/CMIP6 models G. Ortega et al. https://doi.org/10.1002/joc.7221
8404. Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965 J. Antuña-Marrero et al. https://doi.org/10.5194/essd-13-4407-2021
8405. Synergies in environmental and agricultural water availability under climate change R. Lester et al. https://doi.org/10.1038/s41893-025-01720-8
8406. Evaluation of CMIP6 models for rainfall simulation in Central Eastern Africa using extreme precipitation indices J. Kazora et al. https://doi.org/10.1007/s44292-025-00066-2
8407. Potential Invasion Risk of Empoasca fabae in China Under CMIP6 Scenarios: Integrating Climatic Suitability and Host Plant Distribution Z. Gao et al. https://doi.org/10.3390/agronomy16060601
8408. Evaluation of sea surface temperature interhemispheric dipole in CMIP6 historical simulations Q. An et al. https://doi.org/10.1007/s00382-024-07455-0
8409. Global Gridded Climate-Responsive Crop Selection: Sowing Dates and Crop Varieties in a Warming World S. Chevuru et al. https://doi.org/10.1038/s41597-026-07164-9
8410. Projected changes in extreme climate events over Africa under 1.5°C, 2.0°C and 3.0°C global warming levels based on CMIP6 projections B. Ayugi et al. https://doi.org/10.1016/j.atmosres.2023.106872
8411. Ecological forecasts highlight opposing effects of long‐term climate change on population demography F. Ventura et al. https://doi.org/10.1002/ecy.70330
8412. Application of PPIE method to assess the uncertainty and accuracy of multi-climate model-based temperature and precipitation downscaling V. Nourani et al. https://doi.org/10.1007/s00704-021-03884-7
8413. Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100 J. Keeble et al. https://doi.org/10.5194/acp-21-5015-2021
8414. Permafrost thaw has enlarged the burned area proportion from naturally-ignited wildfires in Arctic-boreal regions L. Cai et al. https://doi.org/10.1093/nsr/nwag515
8415. The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0) D. Lunt et al. https://doi.org/10.5194/gmd-10-889-2017
8416. Projection of Future Summer Precipitation over the Yellow River Basin: A Moisture Budget Perspective J. Li et al. https://doi.org/10.3390/atmos11121307
8417. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. https://doi.org/10.5194/gmd-14-5355-2021
8418. Assessing the Effect of Changing Ambient Air Temperature on Water Temperature and Quality in Drinking Water Distribution Systems Y. Lai & D. Dzombak https://doi.org/10.3390/w13141916
8419. Future projection of extreme precipitation over the Korean Peninsula under global warming levels of 1.5 °C and 2.0 °C, using large ensemble of RCMs in CORDEX-East Asia Phase 2 D. Kim et al. https://doi.org/10.1007/s00704-023-04570-6
8420. Sustainable Organic Farming Crops in Nepal in Climate Change Conditions: Predictions and Preferences V. Pechanec et al. https://doi.org/10.3390/land13101610
8421. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al. https://doi.org/10.5194/esd-15-735-2024
8422. Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. https://doi.org/10.1007/s10661-023-11090-3
8423. Climate change in the High Mountain Asia in CMIP6 M. Lalande et al. https://doi.org/10.5194/esd-12-1061-2021
8424. Bias Correction and Ensemble Projections of Temperature Changes over Ten Subregions in CORDEX East Asia C. Shen et al. https://doi.org/10.1007/s00376-020-0026-6
8425. Evaluation of the effect of scenarios in the 6th report of IPCC on the prediction groundwater level using the non-linear model of the input-output time series F. Niroumand Fard et al. https://doi.org/10.1007/s10661-023-11872-9
8426. Global record-breaking recurrence rates indicate more widespread and intense surface air temperature and precipitation extremes R. Benestad et al. https://doi.org/10.1126/sciadv.ado3712
8427. Assessing Property Exposure to Cyclonic Winds under Climate Change E. Shu et al. https://doi.org/10.3390/cli11110217
8428. Climate-responsive reservoir operation for the environmental flow management of the proposed Nagmati Dam in the Bagmati basin, Nepal N. Phuyal et al. https://doi.org/10.1016/j.ejrh.2026.103462
8429. Attribution of differences in observed warming among subregions of China and observationally constrained projection Y. Dong et al. https://doi.org/10.1002/joc.8322
8430. Diurnally asymmetric cloud cover trends amplify greenhouse warming H. Luo et al. https://doi.org/10.1126/sciadv.ado5179
8431. Towards better characterization of global warming impacts in the environment through climate classifications with improved global models A. Navarro et al. https://doi.org/10.1002/joc.7527
8432. 21st century surface UV radiation changes deduced from CMIP6 models: part I—evolution of major influencing factors A. Chatzopoulou et al. https://doi.org/10.1007/s43630-024-00675-7
8433. Climate change effects on solar energy potential: CMIP6-based projections and policy implications V. Kartal et al. https://doi.org/10.1016/j.esr.2026.102063
8434. Combined CA-ANN, CMIP6 GM and SCS-CN modeling of future impacts of climate change and urbanization on potential natural groundwater recharge at city scale S. Ghezali & M. Boukhemacha https://doi.org/10.1007/s10661-025-14743-7
8435. Post-Agricultural Ecosystems of the Chinese Loess Plateau and the Central Russian Plain as Carbon Sinks in 2025–2065: Evidence from CMIP6 Model Projections . Yiping Wu et al. https://doi.org/10.1134/S0001433824700737
8436. Greenhouse gas-induced modification of intense storms over the west African sahel through thermodynamic and dynamic processes S. Zhao et al. https://doi.org/10.1007/s00382-024-07193-3
8437. WHO BEARS THE INCOME COST OF EXTREME HEAT? ADAPTIVE INEQUALITY IN CHINA’S URBAN AND RURAL LABOR MARKETS X. SONG et al. https://doi.org/10.1142/S2010007826400154
8438. Evaluation of ocean wave power utilizing COWCLIP 2.0 datasets: a CMIP5 model assessment A. Yadav et al. https://doi.org/10.1007/s00382-024-07402-z
8439. Indian Ocean mixed layer depth changes under global warming Z. Gao et al. https://doi.org/10.3389/fclim.2023.1112713
8440. The global hydrogen budget Z. Ouyang et al. https://doi.org/10.1038/s41586-025-09806-1
8441. Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios P. Singh et al. https://doi.org/10.3390/ijgi10070463
8442. Surface Flux Drivers for the Slowdown of the Atlantic Meridional Overturning Circulation in a High‐Resolution Global Coupled Climate Model D. Putrasahan et al. https://doi.org/10.1029/2018MS001447
8443. Calibrating the GAMIL3-1° climate model using a derivative-free optimization method W. Liang et al. https://doi.org/10.5194/gmd-18-9293-2025
8444. Potential Suitable Habitats of Chili Pepper in China under Climate Change C. Deng et al. https://doi.org/10.3390/plants13071027
8445. Monitoring forest cover and land use change in the Congo Basin under IPCC climate change scenarios Y. Yuh et al. https://doi.org/10.1371/journal.pone.0311816
8446. Enhanced causal effect of ecosystem photosynthesis on respiration during heatwaves J. Ping et al. https://doi.org/10.1126/sciadv.adi6395
8447. Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend B. Goswami https://doi.org/10.1007/s00382-022-06337-7
8448. Climate Change and Impact on Renewable Energies in the Azores Strategic Visions for Sustainability M. Meirelles et al. https://doi.org/10.3390/su142215174
8449. An increase in marine heatwaves without significant changes in surface ocean temperature variability T. Xu et al. https://doi.org/10.1038/s41467-022-34934-x
8450. Sustainability of Traditional, Historical Roofs in the Mediterranean: A Rediscovered Opportunity for a Carbon Neutral Future J. Cassar et al. https://doi.org/10.3390/su151712723
8451. Mycorrhizal Distributions Impact Global Patterns of Carbon and Nutrient Cycling R. Braghiere et al. https://doi.org/10.1029/2021GL094514
8452. Assessing the performance of solar radiation management geoengineering simulations M. Wehner https://doi.org/10.1007/s11707-025-1180-z
8453. East Asian spring precipitation and its dry trend revealed by CMIP6 high-resolution coupled models P. Zi et al. https://doi.org/10.1007/s00382-026-08151-x
8454. A high-resolution projected climate dataset for Vietnam: Construction and preliminary application in assessing future change Q. Tran-Anh et al. https://doi.org/10.2166/wcc.2022.144
8455. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
8456. A Prospectus for Constraining Rapid Cloud Adjustments in General Circulation Models C. Nam et al. https://doi.org/10.1029/2017MS001153
8457. Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl H. Bedair et al. https://doi.org/10.3389/fpls.2025.1461639
8458. Leaching of dissolved organic carbon from mineral soils plays a significant role in the terrestrial carbon balance M. Nakhavali et al. https://doi.org/10.1111/gcb.15460
8459. Assessment of dry and heavy rainfall days and their projected changes over Northeast Brazil in Coupled Model Intercomparison Project Phase 6 models F. de Medeiros & C. de Oliveira https://doi.org/10.1002/joc.7759
8460. Climate change shifts almond bloom dates in Afghanistan A. Shinwari et al. https://doi.org/10.1007/s00484-026-03288-0
8461. Fitness for future: eLTER RI’s representation of climate and land use change T. Ohnemus et al. https://doi.org/10.1016/j.ecolind.2025.113159
8462. Impacts of irrigation expansion on moist-heat stress based on IRRMIP results Y. Yao et al. https://doi.org/10.1038/s41467-025-56356-1
8463. Wind speed stilling and its recovery due to internal climate variability J. Wohland et al. https://doi.org/10.5194/esd-12-1239-2021
8464. Optimal Proxy Indices for Annual Marine Heatwave Characteristics Using Monthly Sea Surface Temperature G. Pak https://doi.org/10.1007/s12601-024-00158-x
8465. Deficiencies of Phenology Models in Simulating Spatial and Temporal Variations in Temperate Spring Leaf Phenology S. Li et al. https://doi.org/10.1029/2021JG006421
8466. Shortened Duration of Global Warming Slowdowns with Elevated Greenhouse Gas Emissions F. Gao et al. https://doi.org/10.1007/s13351-021-0134-y
8467. Aerosol and Solar Irradiance Effects on Decadal Climate Variability and Predictability D. Zanchettin https://doi.org/10.1007/s40641-017-0065-y
8468. Applications of large deviation theory in geophysical fluid dynamics and climate science V. Gálfi et al. https://doi.org/10.1007/s40766-021-00020-z
8469. Investigating the impact of climate change on irrigation and crop water requirements of Bhadra and Tungabhadra command area: A CMIP-6 GCMs and CROPWAT 8.0 approach G. Rudraswamy & N. Umamahesh https://doi.org/10.2166/ws.2024.022
8470. Identifying ecosystem supply–demand response thresholds for land use optimization: A case study of the Taihu Lake Basin, China Y. Lin et al. https://doi.org/10.1016/j.ecolind.2025.113569
8471. CO2 physiological forcing mitigates climate-driven water limitation on vegetation growth and carbon uptake P. Kang et al. https://doi.org/10.1038/s41467-026-76835-3
8472. Future Projections of Clouds and Precipitation Patterns in South Asia: Insights from CMIP6 Multi-Model Ensemble Under SSP5 Scenarios P. Khardekar et al. https://doi.org/10.3390/cli13020036
8473. Interdecadal changes of September precipitation over Central China: The synergistic effect of Pacific Decadal Oscillation and North Atlantic Sea surface temperatures Y. Zhou et al. https://doi.org/10.1016/j.atmosres.2026.109225
8474. Potential distribution of Leptotrombidium scutellare in Yunnan and Sichuan Provinces, China, and its association with mite-borne disease transmission W. Song et al. https://doi.org/10.1186/s13071-023-05789-y
8475. Climate warming is expanding dengue burden in the Americas and Asia M. Childs et al. https://doi.org/10.1073/pnas.2512350122
8476. Escalating Hot‐Dry Extremes Amplify Compound Fire Weather Risk X. Fan et al. https://doi.org/10.1029/2023EF003976
8477. Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al. https://doi.org/10.5194/esd-17-81-2026
8478. Net Equatorward Shift of the Jet Streams When the Contribution From Sea‐Ice Loss Is Constrained by Observed Eddy Feedback J. Screen et al. https://doi.org/10.1029/2022GL100523
8479. Modeling climate and land use land cover changes impact on water balance in the Rift Valley Lake Basin, Ethiopia Y. Woldemariam et al. https://doi.org/10.1007/s00704-025-05834-z
8480. Investigation of the impact of satellite vertical sensitivity on long-term retrieved lower-tropospheric ozone trends R. Pope et al. https://doi.org/10.5194/acp-24-9177-2024
8481. Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios L. Peng & Z. Li https://doi.org/10.3390/su132112097
8482. Estimates of soil erosion rates in a principal watershed in Gozo, Malta under current and future climatic conditions C. Galdies et al. https://doi.org/10.1016/j.catena.2021.105900
8483. The COVID-19 lockdowns: a window into the Earth System N. Diffenbaugh et al. https://doi.org/10.1038/s43017-020-0079-1
8484. The impact of climate change on runoff, soil moisture, and recharge of the Urucuia Aquifer System, Northeast Brazil B. Fernandes Pereira et al. https://doi.org/10.1016/j.jsames.2026.106121
8485. Impacts of climate change on honeybee pollination and crop production in China Y. Chen et al. https://doi.org/10.1016/j.ecoser.2026.101897
8486. Editorial for the CORDEX-CORE Experiment I Special Issue F. Giorgi et al. https://doi.org/10.1007/s00382-021-05902-w
8487. The Carbon Dioxide Removal Model Intercomparison Project (CDRMIP): rationale and experimental protocol for CMIP6 D. Keller et al. https://doi.org/10.5194/gmd-11-1133-2018
8488. Comparing Methods to Constrain Future European Climate Projections Using a Consistent Framework L. Brunner et al. https://doi.org/10.1175/JCLI-D-19-0953.1
8489. A New Approach to Evaluate and Reduce Uncertainty of Model-Based Biodiversity Projections for Conservation Policy Formulation B. Myers et al. https://doi.org/10.1093/biosci/biab094
8490. Monitoring and modeling hydrologic conditions in Ukraine for hydropower generation M. McCarthy et al. https://doi.org/10.1016/j.ejrh.2025.102518
8491. Modelling framework for asynchronous land-atmosphere coupling using NASA GISS ModelE (NASA-GISS E2.1) and LPJ-LMfire (v1.4.0): design, application and evaluation for the 2.5 ka period R. Singh et al. https://doi.org/10.5194/gmd-19-1405-2026
8492. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. https://doi.org/10.1002/joc.7834
8493. Recent marine heatwaves in the North Pacific warming pool can be attributed to rising atmospheric levels of greenhouse gases A. Barkhordarian et al. https://doi.org/10.1038/s43247-022-00461-2
8494. The JRA-3Q Reanalysis Y. KOSAKA et al. https://doi.org/10.2151/jmsj.2024-004
8495. Uncertainties in the global and continental surface solar radiation variations: inter-comparison of in-situ observations, reanalyses, and model simulations B. Jiao et al. https://doi.org/10.1007/s00382-022-06222-3
8496. Warming-induced contraction of tropical convection delays and reduces tropical cyclone formation G. Zhang https://doi.org/10.1038/s41467-023-41911-5
8497. Ocean heat content in 2023 L. Cheng et al. https://doi.org/10.1038/s43017-024-00539-9
8498. An analysis of the expected wave conditions in the Mediterranean Sea in the context of global warming L. Rusu https://doi.org/10.1016/j.oceaneng.2024.117487
8499. Coupled models of water and carbon cycles from leaf to global: A retrospective and a prospective Y. Wang et al. https://doi.org/10.1016/j.agrformet.2024.110229
8500. Performance assessment of 22 CMIP6 climate models for projecting wind climate and wind power over the Mediterranean Sea E. Çalışır et al. https://doi.org/10.1007/s12665-026-12885-6
8501. Detection of the anthropogenic signal and urbanization effects in extreme temperature changes in eastern China Y. Sun & T. Hu https://doi.org/10.1016/j.aosl.2023.100332
8502. Leveraging Topoclimates and Bioclimatic Classification for the Evaluation of Climate Change in Tropical River Basins: A Case Study of the Toa River Basin, Cuba A. De La Cruz et al. https://doi.org/10.3103/S1068373924600119
8503. Nonlinear responses of the winter warm Arctic-cold Eurasia pattern to multi-year La Niña B. Luo et al. https://doi.org/10.1088/1748-9326/aea86f
8504. Arctic amplification, and its seasonal migration, over a wide range of abrupt CO2 forcing Y. Liang et al. https://doi.org/10.1038/s41612-022-00228-8
8505. Effects of global greening phenomenon on water sustainability Y. Liu et al. https://doi.org/10.1016/j.catena.2021.105732
8506. Exploring future trends of precipitation and runoff in arid regions under different scenarios based on a bias-corrected CMIP6 model Q. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.130666
8507. A dataset of large ensemble of CMIP6-based transient climate scenarios for impact assessment in Great Britain M. Semenov et al. https://doi.org/10.1016/j.dib.2025.111695
8508. Testing new potential evaporation formulations for identifying soil moisture deficiency in agricultural areas under global warming D. Kim et al. https://doi.org/10.1016/j.jhydrol.2025.133760
8509. Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models P. Bhanu Deepika et al. https://doi.org/10.1016/j.dynatmoce.2024.101456
8510. Inconsistent Variations Between the Northern and Southern North Pacific Storm Track M. Yang et al. https://doi.org/10.1029/2021GL095552
8511. Climate, weather, space weather: model development in an operational context D. Folini https://doi.org/10.1051/swsc/2018021
8512. Cooling from aerosol–radiation interaction of anthropogenic coarse particles in China X. Wang et al. https://doi.org/10.1038/s41612-024-00773-4
8513. Emergent constraints on the future East Asian winter surface air temperature changes A. Liu et al. https://doi.org/10.1088/1748-9326/ad4a91
8514. State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. https://doi.org/10.1126/science.abq6872
8515. Time-varying global energy budget since 1880 from a reconstruction of ocean warming Q. Wu et al. https://doi.org/10.1073/pnas.2408839122
8516. Can GRACE and CMIP6 historical data identify groundwater drought in North China Plain? Y. Yin et al. https://doi.org/10.1007/s00704-023-04441-0
8517. Simulation of Present-Day Climate with the INMCM60 Model E. Volodin https://doi.org/10.1134/S0001433823010139