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526. 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
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532. 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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542. New trend of studying desert evolution and desertification H. Lu https://doi.org/10.1007/s11430-024-1571-9
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544. 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
545. 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
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550. Winter Cloudy Days Will Diminish Over China Under Global Warming H. Tan et al. https://doi.org/10.1029/2023EF004030
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552. 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
553. 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
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560. 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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564. Assessing the impact of a future volcanic eruption on decadal predictions S. Illing et al. https://doi.org/10.5194/esd-9-701-2018
565. 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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567. Surface air temperature change on the Tibetan Plateau under global net-zero emission scenarios J. WANG et al. https://doi.org/10.1016/j.accre.2026.01.007
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570. 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
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573. 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
574. 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
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580. 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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585. An Assessment of CAMS-CSM in Simulating Land–Atmosphere Heat and Water Exchanges G. Zhang et al. https://doi.org/10.1007/s13351-018-8055-0
586. Effects of Climate Change on the Habitat Suitability and Distribution of Endemic Freshwater Fish Species in Semi-Arid Central Anatolian Ecoregion in Türkiye M. Korkmaz et al. https://doi.org/10.3390/w15081619
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588. Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. https://doi.org/10.5194/bg-19-4779-2022
589. Increasing certainty in projected local extreme precipitation change C. Li et al. https://doi.org/10.1038/s41467-025-56235-9
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591. Quantifying the impact of climate and management strategies on groundwater conservation in the High Plains Aquifer Z. Xiang et al. https://doi.org/10.1016/j.scitotenv.2025.179656
592. Pacific Equatorial Undercurrent: Mean state, sources, and future changes across models A. Stellema et al. https://doi.org/10.3389/fclim.2022.933091
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594. The disappearing Antilles Current dominates the weakening meridional heat transport in the North Atlantic Ocean under global warming J. Cai et al. https://doi.org/10.1088/1748-9326/ad3567
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598. Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources A. Noel et al. https://doi.org/10.1016/j.foreco.2025.123075
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601. Case study on climate change effects and food security in Southeast Asia D. Taniushkina et al. https://doi.org/10.1038/s41598-024-65140-y
602. Changes in regional daily precipitation intensity and spatial structure from global reanalyses C. Lussana et al. https://doi.org/10.1002/joc.8375
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605. Long-term change in low-cloud cover in Southeast China during cold seasons Z. Chen et al. https://doi.org/10.1016/j.aosl.2022.100222
606. Anthropogenic sulfate-climate interactions suppress dust activity over East Asia X. Xie et al. https://doi.org/10.1038/s43247-025-02147-x
607. Unveiling Climate Trends and Future Projections in Southeastern Brazil: A Case Study of Brazil’s Historic Agricultural Heritage L. Santos et al. https://doi.org/10.3390/su16114811
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609. A comparison of multiple statistically downscaled climate change datasets for the conterminous USA J. Kim et al. https://doi.org/10.1088/2515-7620/aca3ee
610. Improving thermodynamic nudging in the E3SM Atmosphere Model version 2 (EAMv2): strategy and hindcast skills on weather systems S. Zhang et al. https://doi.org/10.5194/gmd-19-1937-2026
611. Agrivoltaic System Potential to Mitigate Effects of Climate Change in Viticulture N. Hanrieder et al. https://doi.org/10.1002/aesr.70185
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613. Geostrophic flows control future changes of oceanic eastern boundary upwelling Z. Jing et al. https://doi.org/10.1038/s41558-022-01588-y
614. Past and future response of the North Atlantic warming hole to anthropogenic forcing S. Qasmi https://doi.org/10.5194/esd-14-685-2023
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616. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. https://doi.org/10.1016/j.gloplacha.2023.104137
617. Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models A. Kalisoras et al. https://doi.org/10.5194/acp-24-7837-2024
618. Climate change increases the interannual variance of summer crop yields globally through changes in temperature and water supply J. Proctor et al. https://doi.org/10.1126/sciadv.ady3575
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621. The ACCESS-AM2 climate model underestimates aerosol concentration in the Southern Ocean; improving aerosol representation could be problematic for the global energy balance S. Fiddes et al. https://doi.org/10.5194/acp-25-16451-2025
622. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. https://doi.org/10.1073/pnas.2200635119
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624. ESTIMATING CROP PRODUCTION LOSSES DUE TO SEA LEVEL RISE IN COASTAL AREAS OF ASIA-PACIFIC BY 2100 T. BUI et al. https://doi.org/10.2208/journalofjsce.25-27005
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627. Fixed Anvil Temperature Feedback: Positive, Zero, or Negative? M. Yoshimori et al. https://doi.org/10.1175/JCLI-D-19-0108.1
628. Impact of poleward heat and moisture transports on Arctic clouds and climate simulation E. Baek et al. https://doi.org/10.5194/acp-20-2953-2020
629. Committed and projected future changes in global peatlands – continued transient model simulations since the Last Glacial Maximum J. Müller & F. Joos https://doi.org/10.5194/bg-18-3657-2021
630. African Hydroclimate During the Early Eocene From the DeepMIP Simulations C. Williams et al. https://doi.org/10.1029/2022PA004419
631. Impact of Stratospheric Aerosol Injection on the East Asian Winter Monsoon Z. Liu et al. https://doi.org/10.1029/2022GL102109
632. Equatorial Atlantic mid-depth warming indicates Atlantic meridional overturning circulation slowdown Q. Ren et al. https://doi.org/10.1038/s43247-025-02793-1
633. Dynamic Financial Analysis (DFA) of general insurers under climate change B. Avanzi et al. https://doi.org/10.1017/asb.2026.10102
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726. Effects of rising CO2 concentrations on water dynamics and yields for C3 and C4 crops under both irrigated and dryland conditions in the Texas High Plains N. Wen et al. https://doi.org/10.1016/j.envsoft.2026.106859
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731. 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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744. 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
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756. 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
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768. 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
769. Equilibrium Climate Sensitivity Estimated by Equilibrating Climate Models M. Rugenstein et al. https://doi.org/10.1029/2019GL083898
770. 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
771. 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
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776. Improving the Estimation of Human Climate Influence by Selecting Appropriate Forcing Simulations C. Li et al. https://doi.org/10.1029/2021GL095500
777. The Cause of the Large Cold Bias in the Northwestern Pacific Ocean J. Feng et al. https://doi.org/10.1029/2021GL094616
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780. 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
781. 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
782. 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
783. Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models S. Zhao et al. https://doi.org/10.3390/rs14194701
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791. Stronger Arctic amplification produced by decreasing, not increasing, CO2 concentrations S. Zhou et al. https://doi.org/10.1088/2752-5295/aceea2
792. 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
793. Scenarios towards limiting global mean temperature increase below 1.5 °C J. Rogelj et al. https://doi.org/10.1038/s41558-018-0091-3
794. 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
795. 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
796. Projected heatwaves in Xinjiang Uygur autonomous region, China D. Dong et al. https://doi.org/10.3389/feart.2024.1286012
797. Characteristic changes in compound drought and heatwave events under climate change C. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107440
798. 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
799. 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
800. Simulations of ENSO Phase-Locking in CMIP5 and CMIP6 H. Chen & F. Jin https://doi.org/10.1175/JCLI-D-20-0874.1
801. 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
802. 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
803. Bayesian assessment of CMIP6 surface net radiation predictions for Köppen–Geiger climate zones Z. Liu https://doi.org/10.1002/joc.8152
804. Implementation of nitrogen cycle in the CLASSIC land model A. Asaadi & V. Arora https://doi.org/10.5194/bg-18-669-2021
805. 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
806. Climate change greatly escalates forest disturbance risks to US property values W. Anderegg et al. https://doi.org/10.1088/1748-9326/ace639
807. 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
808. 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
809. 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
810. Evaluation of CMIP6 Model Simulation Capability in Sichuan Region 晨. 邢 https://doi.org/10.12677/OJNS.2021.91016
811. 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
812. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al. https://doi.org/10.1002/joc.6996
813. Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation A. Ukkola et al. https://doi.org/10.1029/2020GL087820
814. Assessing species reintroduction sites based on future climate suitability for food resources S. Gomides et al. https://doi.org/10.1111/cobi.13796
815. 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
816. Climate-mediated stock redistribution causes increased risk and challenges for fisheries management N. Jacobsen et al. https://doi.org/10.1093/icesjms/fsac029
817. 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
818. 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
819. Influence of the Solar Cycle on the North Atlantic Oscillation Y. Kuroda et al. https://doi.org/10.1029/2021JD035519
820. 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
821. 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
822. Early‐to‐Late Winter 20th Century North Atlantic Multidecadal Atmospheric Variability in Observations, CMIP5 and CMIP6 T. Bracegirdle https://doi.org/10.1029/2022GL098212
823. 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
824. Inter-basin contrast in the Southern Ocean warming Y. Song et al. https://doi.org/10.1038/s41467-025-64112-8
825. Interannual Fluctuations and Their Low-Frequency Modulation of Summertime Heavy Daily Rainfall Potential in Western Japan T. Mochizuki https://doi.org/10.3390/atmos15070814
826. 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
827. 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
828. Evaluating Climate Models with an African Lens R. James et al. https://doi.org/10.1175/BAMS-D-16-0090.1
829. 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
830. Impact of Antarctic Meltwater Forcing on East Asian Climate Under Greenhouse Warming J. Oh et al. https://doi.org/10.1029/2020GL089951
831. Impacts of 1.5ºC and 2ºC Global Warming on Eucalyptus Plantations in South America F. Martins et al. https://doi.org/10.2139/ssrn.3987734
832. 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
833. 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
834. 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
835. Recent global climate feedback controlled by Southern Ocean cooling S. Kang et al. https://doi.org/10.1038/s41561-023-01256-6
836. 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
837. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. https://doi.org/10.1073/pnas.2402868121
838. Climate change and conservation of Caladenia orchids in Western Australia J. Calevo et al. https://doi.org/10.1007/s10531-025-03185-9
839. 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
840. 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
841. 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
842. 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
843. 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
844. On the impact of net-zero forcing Q-flux change K. Eiselt & R. Graversen https://doi.org/10.1007/s00382-024-07117-1
845. 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
846. 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
847. 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
848. 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
849. 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
850. 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
851. Aurora Basin, the Weak Underbelly of East Antarctica T. Pelle et al. https://doi.org/10.1029/2019GL086821
852. 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
853. 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
854. Role of atmospheric rivers in shaping long term Arctic moisture variability Z. Wang et al. https://doi.org/10.1038/s41467-024-49857-y
855. 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
856. 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
857. 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
858. 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
859. 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
860. 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
861. The Urban River Syndrome: Achieving Sustainability Against a Backdrop of Accelerating Change M. Richardson & M. Soloviev https://doi.org/10.3390/ijerph18126406
862. 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
863. 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
864. Global warming amplified regional heatwave with nighttime preeminence outrun daytime heatwave D. Tofu et al. https://doi.org/10.1016/j.indic.2025.100986
865. 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
866. 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
867. Projecting multi-attribute flood regime changes for the Yangtze River basin C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128846
868. Evolution of global snow drought characteristics from 1850 to 2100 M. Cowherd et al. https://doi.org/10.1088/1748-9326/acd804
869. 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
870. 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
871. The Canadian Earth System Model version 5 (CanESM5.0.3) N. Swart et al. https://doi.org/10.5194/gmd-12-4823-2019
872. On the skill of Indo-Pacific decadal sea level predictions and its connection with skilful AMO and PDO predictions J. Deepa & C. Gnanaseelan https://doi.org/10.1007/s00382-024-07456-z
873. Recent progress in simulating two types of ENSO – from CMIP5 to CMIP6 M. Hou & Y. Tang https://doi.org/10.3389/fmars.2022.986780
874. Weakened Antarctic Dipole Under Global Warming in CMIP6 Models S. Li et al. https://doi.org/10.1029/2021GL094863
875. A data-driven Bayesian network methodology for predicting future incident risk in Arctic maritime-based cargo transit W. Li et al. https://doi.org/10.1016/j.oceaneng.2025.120299
876. Climate Dynamics in Guinea Under Global Warming: Analysis of Extreme Air Temperatures and Precipitation E. Vyshkvarkova et al. https://doi.org/10.3390/cli13120239
877. Environmental niche model for the baldcypress leafroller, a significant defoliator of coastal forests, under current and projected climate scenarios K. McAndrew et al. https://doi.org/10.1016/j.ecoinf.2025.103451
878. Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic H. Che et al. https://doi.org/10.5194/acp-22-10789-2022
879. Investigation of Groundwater–Surface water interaction and land use and land cover change in the catchments, A case of Kivu Lake, DRC-Rwanda S. Uwamahoro et al. https://doi.org/10.1016/j.gsd.2024.101236
880. Coupled modes of projected regional change in the Bering Sea from a dynamically downscaling model under CMIP6 forcing A. Hermann et al. https://doi.org/10.1016/j.dsr2.2021.104974
881. Warming and Wetting will continue over the Tibetan Plateau in the Shared Socioeconomic Pathways H. Deng et al. https://doi.org/10.1371/journal.pone.0289589
882. Aerosol sensitivity simulations over East Asia in a convection-permitting climate model S. Li et al. https://doi.org/10.1007/s00382-022-06620-7
883. Effects of Sea Spray on Large-Scale Climatic Features over the Southern Ocean Y. Song et al. https://doi.org/10.1175/JCLI-D-21-0608.1
884. Deep Learning-Based Correction of Decadal Predictions of the PDO and TAG Indices J. Dixit et al. https://doi.org/10.1109/LGRS.2026.3662257
885. Using Global-Scale Earth System Models for Regional Fisheries Applications K. Kearney et al. https://doi.org/10.3389/fmars.2021.622206
886. The potential value of seasonal drought forecasts in the context of climate change: A case study of the African elephant conservation sector E. Black et al. https://doi.org/10.1002/met.2190
887. Optimizing global forest burned area simulations: Multi-earth system model assessment, Bayesian model averaging synthesis, and climate drivers X. Wang & Z. Di https://doi.org/10.1016/j.gloplacha.2026.105390
888. Assessment of the 11-year solar cycle signals in the middle atmosphere during boreal winter with multiple-model ensemble simulations W. Huo et al. https://doi.org/10.5194/acp-25-2589-2025
889. Assessment of surface downward longwave radiation in CMIP6 with comparison to observations and CMIP5 J. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106056
890. Eastern Bering Sea shelf environmental and lower trophic level responses to climate forcing: Results of dynamical downscaling from CMIP6 W. Cheng et al. https://doi.org/10.1016/j.dsr2.2021.104975
891. Resolving the 21st century temperature trends of the upper troposphere–lower stratosphere with satellite observations F. Ladstädter et al. https://doi.org/10.1038/s41598-023-28222-x
892. Common EOFs: a tool for multi-model comparison and evaluation A. Hannachi et al. https://doi.org/10.1007/s00382-022-06409-8
893. A Review of Drought Disturbance on Socioeconomic Development X. Yang et al. https://doi.org/10.3390/w15223912
894. Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation Y. Wang & P. Huang https://doi.org/10.1038/s41467-022-30104-1
895. Reduced rainfall over the Amazon basin in an idealized CO2 removal scenario: Remote dynamic processes S. Zhang et al. https://doi.org/10.1016/j.jes.2024.05.035
896. Double Intertropical Convergence Zones in Coupled Ocean‐Atmosphere Models: Progress in CMIP6 W. Si et al. https://doi.org/10.1029/2021GL094779
897. Spatiotemporal projections of extreme precipitation over Algeria based on CMIP6 global climate models S. Sahabi-Abed et al. https://doi.org/10.1007/s40808-023-01716-3
898. Projected 21st-Century Glacial Lake Evolution in High Mountain Asia W. Furian et al. https://doi.org/10.3389/feart.2022.821798
899. The PMIP4 contribution to CMIP6 – Part 2: Two interglacials, scientific objective and experimental design for Holocene and Last Interglacial simulations B. Otto-Bliesner et al. https://doi.org/10.5194/gmd-10-3979-2017
900. Reversed and comparable climate impacts from historical anthropogenic aerosol and GHG on global-scale tropical cyclone genesis potential J. Cao et al. https://doi.org/10.1088/1748-9326/ac8c5b
901. Reproduction of the Temperature Response to the Pinatubo Volcanic Impact in the INMCM6 Earth System Model S. Kostrykin & E. Volodin https://doi.org/10.1134/S0001433825700756
902. The Impacts of Environmental and Socio-Economic Risks on the Fisheries in the Mediterranean Region N. Hilmi et al. https://doi.org/10.3390/su131910670
903. A shift towards broader and less persistent Southern Hemisphere temperature anomalies I. Karbi & R. Chemke https://doi.org/10.1038/s41612-023-00526-9
904. Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al. https://doi.org/10.5194/gmd-16-315-2023
905. Changes in Drought Characteristics and Heatwave Propagation Over Groundwater Basins in Australia C. Ndehedehe & O. Adeyeri https://doi.org/10.1007/s41748-024-00463-4
906. Embrace SST pattern nonlinearity to understand post-2100 climate changes K. Yang https://doi.org/10.1038/s43017-025-00721-7
907. Quantifying horizontal length scales for surface wind variability in the tropical Pacific based on reanalyses C. Wen et al. https://doi.org/10.1007/s00382-020-05342-y
908. Future Changes in Active and Inactive Atlantic Hurricane Seasons in the Energy Exascale Earth System Model A. Sena et al. https://doi.org/10.1029/2022GL100267
909. Probability of continued local-scale warming and extreme events during and after decarbonization N. Diffenbaugh et al. https://doi.org/10.1088/2752-5295/accf2f
910. Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations V. Dike et al. https://doi.org/10.1002/joc.7641
911. KRILLPODYM: a mechanistic, spatially resolved model of Antarctic krill distribution and abundance D. Green et al. https://doi.org/10.3389/fmars.2023.1218003
912. Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al. https://doi.org/10.1029/2023JD038534
913. Attribution of changes in winds over the Southern Ocean from 1950 to 2100 T. Jarníková et al. https://doi.org/10.5194/esd-17-631-2026
914. gdess: A framework for evaluating simulated atmospheric CO2 in Earth System Models D. Kaufman et al. https://doi.org/10.21105/joss.04326
915. Eigen microstate analysis unveils climate dynamics H. Tu et al. https://doi.org/10.1007/s11433-024-2586-2
916. Multimodel analysis of climate-induced flow variability in transboundary tropical basins B. Ernest et al. https://doi.org/10.2166/wcc.2026.407
917. Exploration of Atmosphere‐Only Model Deficiencies in Reproducing the 1992–2011 Pacific Trade Wind Acceleration P. van Rensch et al. https://doi.org/10.1029/2022GL099981
918. The Multi‐Decadal Response to Net Zero CO2 Emissions and Implications for Emissions Policy S. Jenkins et al. https://doi.org/10.1029/2022GL101047
919. Climate-change impacts on offshore wind resources in the Mediterranean Sea A. Martinez & G. Iglesias https://doi.org/10.1016/j.enconman.2023.117231
920. Marine aerosol in Aotearoa New Zealand: implications for air quality, climate change and public health L. Revell et al. https://doi.org/10.1080/03036758.2024.2319753
921. Projection of Future Meteorological Droughts in Lake Urmia Basin, Iran B. Ghazi et al. https://doi.org/10.3390/w15081558
922. Climate Change Effects on Heating and Cooling Demands of Buildings in Canada S. Chidiac et al. https://doi.org/10.3390/civileng3020017
923. Winds and Meltwater Together Lead to Southern Ocean Surface Cooling and Sea Ice Expansion L. Roach et al. https://doi.org/10.1029/2023GL105948
924. A hybrid approach for skillful multiseasonal prediction of winter North Pacific blocking M. Park et al. https://doi.org/10.1038/s41612-024-00767-2
925. Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
926. A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. https://doi.org/10.1016/j.jhydrol.2024.131370
927. Projected Changes in Water Year Types and Hydrological Drought in California’s Central Valley in the 21st Century M. He et al. https://doi.org/10.3390/cli9020026
928. A Regime View of ENSO Flavors Through Clustering in CMIP6 Models P. Vaittinada Ayar et al. https://doi.org/10.1029/2022EF003460
929. Light Precipitation rather than Total Precipitation Determines Aerosol Wet Removal W. Xia et al. https://doi.org/10.1021/acs.est.4c07684
930. Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution X. Song et al. https://doi.org/10.1016/j.accre.2021.06.008
931. Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery S. Fiedler et al. https://doi.org/10.1016/j.atmosres.2021.105866
932. Projected global demand for air conditioning associated with extreme heat and implications for electricity grids in poorer countries P. Sherman et al. https://doi.org/10.1016/j.enbuild.2022.112198
933. Ice-free period too long for Southern and Western Hudson Bay polar bear populations if global warming exceeds 1.6 to 2.6 °C J. Stroeve et al. https://doi.org/10.1038/s43247-024-01430-7
934. Interactive coupling of a Greenland ice sheet model in NorESM2 H. Goelzer et al. https://doi.org/10.5194/gmd-18-7853-2025
935. The Probability of an AMOC Collapse Onset in the Twenty-First Century H. Dijkstra & R. van Westen https://doi.org/10.1146/annurev-marine-040324-024822
936. Application of Boruta algorithms as a robust methodology for performance evaluation of CMIP6 general circulation models for hydro-climatic studies I. Lawal et al. https://doi.org/10.1007/s00704-023-04466-5
937. Enhanced impact of the Aleutian Low on increasing the Central Pacific ENSO in recent decades S. Chen et al. https://doi.org/10.1038/s41612-023-00350-1
938. Deep Learning-Based Downscaling of CMIP6 for Projecting Heat-Driven Electricity Demand and Cost Management in Chengdu R. Yang & G. Teng https://doi.org/10.3390/atmos16121355
939. Future Changes in the Surface Water Balance over Western Canada Using the CanESM5 (CMIP6) Ensemble for the Shared Socioeconomic Pathways 5 Scenario S. Basu & D. Sauchyn https://doi.org/10.3390/w14050691
940. Extremes events and socio-economic impacts in central Africa: a CMIP6-based analysis of projections D. Ebedi-Nding et al. https://doi.org/10.1007/s40808-024-02139-4
941. A simple framework for likely climate projections applied to tropical width D. Baldassare & T. Reichler https://doi.org/10.1007/s00382-024-07335-7
942. How Well Can Current Climate Models Simulate the Connection of the Early Spring Aleutian Low to the Following Winter ENSO? S. Chen et al. https://doi.org/10.1175/JCLI-D-22-0323.1
943. Increased risk of near term global warming due to a recent AMOC weakening R. Bonnet et al. https://doi.org/10.1038/s41467-021-26370-0
944. Evaluating the impact of climate change on yield and water use efficiency of different dry-season rice varieties cultivated under conventional and alternate wetting and drying conditions C. Phoeurn et al. https://doi.org/10.1007/s10661-024-13363-x
945. Predicting the current and future distribution of Telchin licus (Lepidoptera: Castniidae) based on the maximum entropy model M. Loures-Ferreira et al. https://doi.org/10.1007/s42690-025-01687-1
946. A Quantitative Analysis of the Source of Inter‐Model Spread in Arctic Surface Warming Response to Increased CO2 Concentration X. Hu et al. https://doi.org/10.1029/2022GL100034
947. The role of high-biodiversity regions in preserving Nature’s Contributions to People M. Cimatti et al. https://doi.org/10.1038/s41893-023-01179-5
948. Reevaluation of Total‐Column Ozone Trends and of the Effective Radiative Forcing of Ozone‐Depleting Substances O. Morgenstern et al. https://doi.org/10.1029/2021GL095376
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1019. Desert dunes transformed by end-of-century changes in wind climate A. Baas & L. Delobel https://doi.org/10.1038/s41558-022-01507-1
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1021. 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
1022. 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
1023. 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
1024. 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
1025. 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
1026. 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
1027. 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
1028. Future Landslide Characteristic Assessment Using Ensemble Climate Change Scenarios: A Case Study in Taiwan Y. Chen et al. https://doi.org/10.3390/w12020564
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1035. 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
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1045. 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
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1047. 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
1048. Assessing the Performance of Regional Climate Model Wind Speeds Over Canada M. Morris & E. Diaconescu https://doi.org/10.1002/joc.8912
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1056. 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
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1061. 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
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1063. Greening of Eurasia's center driven by low-latitude climate warming S. Wang et al. https://doi.org/10.1016/j.fecs.2025.100330
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1066. 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
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1072. 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
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1075. 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
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1079. 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
1080. Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies M. Ashfaq et al. https://doi.org/10.1029/2022JD036659
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1082. Past and future wheat yield losses in France’s breadbasket R. Nóia-Júnior et al. https://doi.org/10.1016/j.fcr.2024.109703
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1084. Three billion urban residents can avoid unprecedented future heat H. Lewis & L. Harrington https://doi.org/10.1007/s10584-026-04176-7
1085. 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
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1092. 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
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1099. Relative Impacts of Simultaneous Stressors on a Pelagic Marine Ecosystem P. Woodworth-Jefcoats et al. https://doi.org/10.3389/fmars.2019.00383
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1103. 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
1104. Historical performance and future climate projections from CMIP6 models in central-eastern Argentina G. Müller et al. https://doi.org/10.1071/ES25027
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1108. Emerging global freshwater challenges unveiled through observation-constrained projections F. Huo et al. https://doi.org/10.5194/esd-17-291-2026
1109. 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
1110. 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
1111. 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
1112. 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
1113. 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
1114. 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
1115. Projected Changes in Socioeconomic Exposure to Heatwaves in South Asia Under Changing Climate I. Ullah et al. https://doi.org/10.1029/2021EF002240
1116. Unraveling the Arctic Sea Ice Change since the Middle of the Twentieth Century N. Kong & W. Liu https://doi.org/10.3390/geosciences13020058
1117. 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
1118. Evaluating Climate Models with the CLIVAR 2020 ENSO Metrics Package Y. Planton et al. https://doi.org/10.1175/BAMS-D-19-0337.1
1119. 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
1120. 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
1121. 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
1122. Spurious Late Historical‐Era Warming in CESM2 Driven by Prescribed Biomass Burning Emissions J. Fasullo et al. https://doi.org/10.1029/2021GL097420
1123. 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
1124. 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
1125. 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
1126. 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
1127. 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
1128. 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
1129. 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
1130. 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
1131. 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
1132. 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
1133. 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
1134. Arctic summer sea ice loss will accelerate in coming decades A. Poltronieri et al. https://doi.org/10.1088/1748-9326/ad5194
1135. 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
1136. Multifaceted characteristics of dryland aridity changes in a warming world X. Lian et al. https://doi.org/10.1038/s43017-021-00144-0
1137. Accelerated Greenland Ice Sheet melt influences South Asian precipitation S. Shrayasi et al. https://doi.org/10.1088/2752-5295/ae679a
1138. An 8-model ensemble of CMIP6-derived ocean surface wave climate A. Meucci et al. https://doi.org/10.1038/s41597-024-02932-x
1139. Coupling PLUS–InVEST Model for Ecosystem Service Research in Yunnan Province, China R. Wang et al. https://doi.org/10.3390/su15010271
1140. 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
1141. 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
1142. 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
1143. 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
1144. Attributing decadal climate variability in coastal sea-level trends S. Royston et al. https://doi.org/10.5194/os-18-1093-2022
1145. 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
1146. 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
1147. 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
1148. A Few Frontier Issues in Ocean Engineering Mechanics J. Li & B. Nie https://doi.org/10.1007/s13344-021-0001-8
1149. Projected Climate Change Impacts on Rainwater Harvesting in Brazilian Single-Family Houses I. Vaz et al. https://doi.org/10.3390/w18070792
1150. 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
1151. Performance evaluation of CMIP6 in simulating extreme precipitation in Madagascar M. Rabezanahary Tanteliniaina et al. https://doi.org/10.1007/s00704-024-04868-z
1152. Projected Changes in the Atmospheric Dynamics of Climate Extremes in France P. Yiou et al. https://doi.org/10.3390/atmos12111440
1153. 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
1154. 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
1155. 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
1156. 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
1157. FIO‐ESM Version 2.0: Model Description and Evaluation Y. Bao et al. https://doi.org/10.1029/2019JC016036
1158. Prediction and Influencing Factors of Precipitation in the Songliao River Basin, China: Insights from CMIP6 H. Yang & Z. Li https://doi.org/10.3390/su17052297
1159. Assessing risk from invasive alien plants in China: Reconstructing invasion history and estimating distribution patterns of Lolium temulentum and Aegilops tauschii M. Yang et al. https://doi.org/10.3389/fpls.2023.1113567
1160. How climate change will change the potential distribution of two wood-decaying fungi? D. Santos et al. https://doi.org/10.1590/1677-941x-abb-2023-0021
1161. A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations J. Wang et al. https://doi.org/10.1038/s41612-025-01164-z
1162. Earth's future climate and its variability simulated at 9 km global resolution J. Moon et al. https://doi.org/10.5194/esd-16-1103-2025
1163. Deterministic and stochastic components of atmospheric CO2 inside forest canopies and consequences for predicting carbon and water exchange E. Muñoz & C. Sierra https://doi.org/10.1016/j.agrformet.2023.109624
1164. Modeling the impact of climate change on the distribution of feather grass in Yazd Province, Iran: insights from species distribution and climate forecasting models S. Zarekia et al. https://doi.org/10.1007/s00704-025-05956-4
1165. More Frequent Abrupt Marine Environmental Changes Expected C. Heinze et al. https://doi.org/10.1029/2023GL106192
1166. Assessment of hydrographic features in OMIP2 models in the Tropical Indian Ocean B. Madhu et al. https://doi.org/10.1007/s10236-025-01664-9
1167. Increased ENSO sea surface temperature variability under four IPCC emission scenarios W. Cai et al. https://doi.org/10.1038/s41558-022-01282-z
1168. Central-Pacific El Niño-Southern Oscillation less predictable under greenhouse warming H. Chen et al. https://doi.org/10.1038/s41467-024-48804-1
1169. Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE https://doi.org/10.2151/jmsj.2020-059
1170. Reconstructed temperature change in late summer over the eastern Tibetan Plateau since 1867 CE and the role of anthropogenic forcing H. Yin et al. https://doi.org/10.1016/j.gloplacha.2021.103715
1171. On the relation of CMIP6 GCMs errors at RCM driving boundary condition zones and inner region for Central Europe region E. Holtanová et al. https://doi.org/10.1007/s00382-024-07216-z
1172. Future patterns of grassland fire occurrence in Inner Mongolia, China C. Chang et al. https://doi.org/10.1007/s11069-025-07713-2
1173. How Can Climate Change Limit the Distribution of Cooperative Pseudoscorpions in Brazil? E. Bedoya-Roqueme & E. Tizo-Pedroso https://doi.org/10.1007/s13744-022-01006-0
1174. MaxEnt modeling for habitat suitability assessment of threatened Dipterocarpus species in the Indian East Himalayas A. Hazarika et al. https://doi.org/10.1007/s10531-024-02997-5
1175. Global warming driving increased winter CO₂ emissions in the Northern Hemisphere permafrost region Y. Wei et al. https://doi.org/10.59717/j.xinn-geo.2026.100185
1176. Linking sea level rise and socioeconomic indicators under the Shared Socioeconomic Pathways A. Nauels et al. https://doi.org/10.1088/1748-9326/aa92b6
1177. Climate risk assessment of China’s Cultural World Heritage highlights urgent need for adaptation T. Lei et al. https://doi.org/10.1038/s40494-026-02512-9
1178. Implications of CMIP6 Projected Drying Trends for 21st Century Amazonian Drought Risk L. Parsons https://doi.org/10.1029/2020EF001608
1179. Long-term hydroclimatic projections and climate change scenarios at regional scale in Morocco P. Pérez-Cutillas & A. Salhi https://doi.org/10.1016/j.jenvman.2024.123254
1180. The impact of Climate Change on extreme winds over northern Europe according to CMIP6 X. Larsén et al. https://doi.org/10.3389/fenrg.2024.1404791
1181. Modeling climate impacts on ecosystem services in an anthropized coastal lagoon for effective planning and adaptation I. Jiménez-Navarro et al. https://doi.org/10.1007/s10584-025-03926-3
1182. A Reconstructing Model Based on Time–Space–Depth Partitioning for Global Ocean Dissolved Oxygen Concentration Z. Wang et al. https://doi.org/10.3390/rs16020228
1183. The climate system and the second law of thermodynamics M. Singh & M. O’Neill https://doi.org/10.1103/RevModPhys.94.015001
1184. Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product G. Uchale et al. https://doi.org/10.1029/2023JG007468
1185. Regional Cooperation for Climate Mitigation: Potential to Slow Future Warming in South Asia X. Fan et al. https://doi.org/10.34133/ehs.0401
1186. Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. https://doi.org/10.5194/acp-22-12543-2022
1187. How Does El Niño–Southern Oscillation Change Under Global Warming—A First Look at CMIP6 H. Fredriksen et al. https://doi.org/10.1029/2020GL090640
1188. Intercomparison of the representations of the atmospheric chemistry of pre-industrial methane and ozone in earth system and other global chemistry-transport models R. Derwent et al. https://doi.org/10.1016/j.atmosenv.2021.118248
1189. Temperature and Prey Species Richness Drive the Broad-Scale Distribution of a Generalist Predator D. Michailidou et al. https://doi.org/10.3390/d13040169
1190. Interdecadal variability of the warm Arctic-cold Eurasia pattern linked to the Barents oscillation Z. Cai et al. https://doi.org/10.1016/j.atmosres.2023.106712
1191. The unidentified eruption of 1809: a climatic cold case C. Timmreck et al. https://doi.org/10.5194/cp-17-1455-2021
1192. Assessment of Top of Atmosphere, Atmospheric and Surface Energy Budgets in CMIP6 Models on Regional Scales D. Li et al. https://doi.org/10.1029/2022EA002758
1193. Identification and quantification of compound extreme climatic events considering spatial–temporal proximity effect Z. Zhao et al. https://doi.org/10.1016/j.jhydrol.2025.134327
1194. Projected changes in flooding: a continental U.S. perspective G. Villarini & W. Zhang https://doi.org/10.1111/nyas.14359
1195. Widespread shift from ecosystem energy to water limitation with climate change J. Denissen et al. https://doi.org/10.1038/s41558-022-01403-8
1196. Climate change projections over mid-high latitudes Northern Asia using an ensemble of RegCM5 simulations X. Tang et al. https://doi.org/10.1016/j.accre.2025.12.001
1197. Varying contributions of greenhouse gases, aerosols and natural forcings to Arctic land surface air temperature changes L. Yu et al. https://doi.org/10.1088/1748-9326/aca2c3
1198. Anatomy and assessment of surface water and energy balance components simulated by CMIP6 models in Pan Third Pole Z. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.132656
1199. GCAP 2.0: a global 3-D chemical-transport model framework for past, present, and future climate scenarios L. Murray et al. https://doi.org/10.5194/gmd-14-5789-2021
1200. An evaluation of statistical and deep learning-based correction of monthly precipitation over the Yangtze River basin in China based on CMIP6 GCMs A. He et al. https://doi.org/10.1007/s10668-024-05005-6
1201. Evaluation of CMIP6 Climate Models and Projected IDF Changes under Climate Change: A Case Study from Monsoon-Dominated Goa, India A. Balvanshi et al. https://doi.org/10.1061/JHYEFF.HEENG-6688
1202. Disproportionate increase of flood-exposed population in Chinese cities under urban expansion and climate variation Z. She et al. https://doi.org/10.1016/j.ecolind.2025.113314
1203. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. https://doi.org/10.5194/gmd-14-6515-2021
1204. East Asian summer monsoon enhanced by COVID-19 C. He et al. https://doi.org/10.1007/s00382-022-06247-8
1205. The footprint of human-induced climate change on heat-related deaths in the summer of 2022 in Switzerland A. Vicedo-Cabrera et al. https://doi.org/10.1088/1748-9326/ace0d0
1206. Storylines of projected summer warming in Iberia using atmospheric circulation, soil moisture and sea surface temperature as drivers of uncertainty J. Garrido-Perez et al. https://doi.org/10.1016/j.atmosres.2024.107677
1207. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al. https://doi.org/10.5194/esd-12-253-2021
1208. Coupled Covariation of Tropical and Extratropical Climate Responses to Warming: Transformation of Late-20th-century Climatological Trends C. Wu & P. Tsai https://doi.org/10.1007/s41748-026-01223-2
1209. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. https://doi.org/10.1029/2019GL085806
1210. Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models B. Ayugi et al. https://doi.org/10.1007/s11069-022-05341-8
1211. Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal S. Bastola et al. https://doi.org/10.1016/j.ejrh.2025.102717
1212. Projected Increases in Monthly Midlatitude Summertime Temperature Variance Over Land Are Driven by Local Thermodynamics L. Vargas Zeppetello & D. Battisti https://doi.org/10.1029/2020GL090197
1213. Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks T. Hajima et al. https://doi.org/10.5194/gmd-13-2197-2020
1214. Sea surface temperature predictability assessment with an ensemble machine learning method using climate model simulations F. Boschetti et al. https://doi.org/10.1016/j.dsr2.2023.105308
1215. A Refined Understanding of the Ice Cloud Longwave Scattering Effects in Climate Model C. Fan et al. https://doi.org/10.1029/2023MS003810
1216. Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models G. Thornhill et al. https://doi.org/10.5194/acp-21-1105-2021
1217. Dominant role of early winter Barents–Kara sea ice extent anomalies in subsequent atmospheric circulation changes in CMIP6 models S. Delhaye et al. https://doi.org/10.1007/s00382-023-06904-6
1218. A parsimonious model for springs discharge reconstruction and forecast for drought management: Lessons from a case study in Central Italy N. Guyennon et al. https://doi.org/10.1016/j.ejrh.2024.102021
1219. Role of Pacific Ocean climate in regulating runoff in the source areas of water transfer projects on the Pacific Rim F. Chen et al. https://doi.org/10.1038/s41612-024-00706-1
1220. The Atmospheric Infrared Sounder Obs4MIPs Version 2 Data Set B. Tian et al. https://doi.org/10.1029/2018EA000508
1221. Little Change in Apparent Hydrological Sensitivity at Large CO2 Forcing D. Raiter et al. https://doi.org/10.1029/2023GL104954
1222. Enhancing Arctic Ice Extent Predictions: Leveraging Time Series Analysis and Deep Learning Architectures B. Ahanda et al. https://doi.org/10.3390/glacies2040012
1223. Projections of Future Air Quality Are Uncertain. But Which Source of Uncertainty Is Most Important? R. Doherty et al. https://doi.org/10.1029/2022JD037948
1224. Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al. https://doi.org/10.5194/nhess-24-1555-2024
1225. ENSO phase-locking behavior in climate models: from CMIP5 to CMIP6 M. Liu et al. https://doi.org/10.1088/2515-7620/abf295
1226. Modern and Future Climate Change in the Leningrad Oblast and Its Impact on Agroclimatic Characteristics V. Lobanov et al. https://doi.org/10.3103/S106837392309008X
1227. Impact of climate and Aedes albopictus establishment on dengue and chikungunya outbreaks in Europe: a time-to-event analysis Z. Farooq et al. https://doi.org/10.1016/S2542-5196(25)00059-2
1228. Assessing the climate change impact on Epimedium brevicornu in China with the MaxEnt model Q. Liu et al. https://doi.org/10.3389/fpls.2025.1534608
1229. Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions M. Sonnewald et al. https://doi.org/10.1029/2018EA000519
1230. Nitrogen cycling in CMIP6 land surface models: progress and limitations T. Davies-Barnard et al. https://doi.org/10.5194/bg-17-5129-2020
1231. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. https://doi.org/10.1007/s00382-022-06634-1
1232. Projected changes of precipitation extremes in North America using CMIP6 multi-climate model ensembles J. Zhao et al. https://doi.org/10.1016/j.jhydrol.2023.129598
1233. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. https://doi.org/10.5194/esd-10-379-2019
1234. Historical High-Resolution Daily SST Analysis (COBE-SST3) with Consistency to Monthly Land Surface Air Temperature M. ISHII et al. https://doi.org/10.2151/jmsj.2025-002
1235. Progress in climate modelling G. Simpkins https://doi.org/10.1038/nclimate3398
1236. 基于CMIP6的中高温升情景对中国未来径流的预估 嘉. 周 et al. https://doi.org/10.1360/SSTe-2022-0065
1237. Structure of scientific knowledge flows to intergovernmental organizations K. Asatani et al. https://doi.org/10.1073/pnas.2514861123
1238. Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach A. Doury et al. https://doi.org/10.1007/s00382-022-06343-9
1239. An integrated assessment of hydro-meteorological extremes and water scarcity in a mountainous river catchment under climate change P. Prakash & V. Chembolu https://doi.org/10.1080/02626667.2025.2566263
1240. It is high time we monitor the deep ocean C. Heuzé et al. https://doi.org/10.1088/1748-9326/aca622
1241. El Niño-like warming underestimated in a warmer climate due to ENSO rectification effect Y. Chen et al. https://doi.org/10.1038/s41612-025-01250-2
1242. Regional grid refinement in an Earth system model: impacts on the simulated Greenland surface mass balance L. van Kampenhout et al. https://doi.org/10.5194/tc-13-1547-2019
1243. A climate modeling study over Northern Africa and the Mediterranean basin with multi-physics ensemble and coupling to a regional ocean modeling system F. Xie et al. https://doi.org/10.3389/feart.2023.1200004
1244. Influence of Antarctic amplification on Extreme temperature in the Southern Hemisphere J. Zhu et al. https://doi.org/10.1016/j.gloplacha.2025.104993
1245. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed P. Modi et al. https://doi.org/10.1016/j.ejrh.2021.100830
1246. Atlantic multidecadal variability controls Arctic-ENSO connection S. Chen et al. https://doi.org/10.1038/s41612-025-00936-x
1247. Climate change favours large seasonal loss of Arctic ozone P. von der Gathen et al. https://doi.org/10.1038/s41467-021-24089-6
1248. Taking globally consistent health impact projections to the next level J. Rocklöv et al. https://doi.org/10.1016/S2542-5196(21)00171-6
1249. A Seasonal to Decadal Calibration of 1990–2100 Eastern Canadian Freshwater Discharge Simulations by Observations, Data Models, and Neural Networks R. Danielson et al. https://doi.org/10.1080/07055900.2025.2521502
1250. Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. https://doi.org/10.1016/j.wace.2022.100484
1251. Anthropogenic influence of temperature changes across East Asia using CMIP6 simulations S. Allabakash & S. Lim https://doi.org/10.1038/s41598-022-16110-9
1252. Reversed Holocene temperature–moisture relationship in the Horn of Africa A. Baxter et al. https://doi.org/10.1038/s41586-023-06272-5
1253. Atmospheric oxygen constraints on Southern Ocean productivity and drivers of carbon uptake Y. Jin et al. https://doi.org/10.1038/s41561-026-01944-z
1254. Rising geopotential height under global warming C. He et al. https://doi.org/10.1007/s00382-024-07175-5
1255. Breeding priorities for rice adaptation to climate change in Northeast China X. Dong et al. https://doi.org/10.1007/s10584-023-03556-7
1256. Evaluation of multidimensional simulations of summer air temperature in China from CMIP5 to CMIP6 by the BCC models: From trends to modes Y. Liu et al. https://doi.org/10.1016/j.accre.2021.12.001
1257. Cumulative impacts to global marine ecosystems projected to more than double by mid-century B. Halpern et al. https://doi.org/10.1126/science.adv2906
1258. Time‐Evolving Radiative Feedbacks in the Historical Period P. Salvi et al. https://doi.org/10.1029/2023JD038984
1259. Automatic data matching for geospatial models: a new paradigm for geospatial data and models sharing Y. Zhu & J. Yang https://doi.org/10.1080/19475683.2019.1670735
1260. ENSO amplifies global vegetation resilience variability in a changing climate W. Zhou et al. https://doi.org/10.1038/s41467-025-66987-z
1261. Monotonic Increase of Extreme Precipitation Intensity With Temperature When Controlled for Saturation Deficit G. Wang & X. Sun https://doi.org/10.1029/2022GL097881
1262. Northern Hemisphere blocking simulation in current climate models: evaluating progress from the Climate Model Intercomparison Project Phase 5 to 6 and sensitivity to resolution R. Schiemann et al. https://doi.org/10.5194/wcd-1-277-2020
1263. Assessments on simulation of Pacific blocking frequency during boreal winter in CMIP6 climate models M. Gao et al. https://doi.org/10.1016/j.dynatmoce.2022.101333
1264. 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
1265. Strengthening of favorable environments for North Atlantic tropical cyclogenesis in midlatitudes in a warmer climate A. Montoro-Mendoza et al. https://doi.org/10.1038/s41612-025-01317-0
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1553. Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China F. Lü et al. https://doi.org/10.3390/rs15051442
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1576. A decline in atmospheric CO2 levels under negative emissions may enhance carbon retention in the terrestrial biosphere S. Park & J. Kug https://doi.org/10.1038/s43247-022-00621-4
1577. 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
1578. Role of Penetrative Convection under the Ice in the Formation of the State of the World Ocean N. Iakovlev et al. https://doi.org/10.1134/S0001433818060142
1579. Projected impacts of climate and land use changes on streamflow extremes in the upper awash Basin, Ethiopia S. Gebresellase et al. https://doi.org/10.1016/j.wace.2025.100806
1580. Phylogeography and Climate-Driven Distribution of Culex tarsalis (Diptera: Culicidae): Implications for the Global Spread of West Nile Virus J. Trujillo-González et al. https://doi.org/10.1007/s11686-026-01307-z
1581. Bucking the trend - recovery from near continent-wide extinction by a marsupial micro-predator during drought D. Cullen et al. https://doi.org/10.1016/j.biocon.2025.111411
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1583. Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning J. Krasting et al. https://doi.org/10.1038/s43247-022-00419-4
1584. Future Projections of Low‐Level Atmospheric Circulation Patterns Over South Tropical South America: Impacts on Precipitation and Amazon Dry Season Length J. Agudelo et al. https://doi.org/10.1029/2023JD038658
1585. Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6? M. Williamson et al. https://doi.org/10.5194/esd-15-829-2024
1586. Land-use harmonization datasets for annual global carbon budgets L. Chini et al. https://doi.org/10.5194/essd-13-4175-2021
1587. Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds J. Shaw et al. https://doi.org/10.1029/2021GL096191
1588. Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models S. Nowicki et al. https://doi.org/10.5194/tc-14-2331-2020
1589. 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
1590. Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective B. Xiong et al. https://doi.org/10.1007/s00477-024-02680-9
1591. Predicting origins of coherent air mass trajectories using a neural network—the case of dry intrusions V. Silverman et al. https://doi.org/10.1002/met.1986
1592. 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
1593. How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa? H. Babaousmail et al. https://doi.org/10.3390/hydrology11070106
1594. A novel expert-driven methodology to develop thermal response curves and project habitat thermal suitability for cetaceans under a changing climate A. Sousa et al. https://doi.org/10.1016/j.scitotenv.2022.160376
1595. Exploring the Factors Controlling the Long‐Term Trend (1988–2019) of Surface Organic Aerosols in the Continental United States by Simulations Y. Liu et al. https://doi.org/10.1029/2022JD037935
1596. The changing nature of future Arctic marine heatwaves and its potential impacts on the ecosystem R. Gou et al. https://doi.org/10.1038/s41558-024-02224-7
1597. Significant additional Antarctic warming in atmospheric bias-corrected ARPEGE projections with respect to control run J. Beaumet et al. https://doi.org/10.5194/tc-15-3615-2021
1598. 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
1599. Summer Precipitation Long‐Term Changes at Different Intensities in the Beijing–Tianjin–Hebei Region From 1961 to 2014 and Simulation Performance Evaluation of CMIP6 Models N. Gao et al. https://doi.org/10.1002/joc.70222
1600. Deeply divergent human exposure to food crises across socioeconomic pathways G. Strona https://doi.org/10.1038/s41598-025-29068-1
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1602. Stratospheric Ozone Changes From Explosive Tropical Volcanoes: Modeling and Ice Core Constraints A. Ming et al. https://doi.org/10.1029/2019JD032290
1603. Future shifts in climatic conditions promoting northward expansion of the Mediterranean climate in the circum-Mediterranean region Y. Boussalim & Y. Dallahi https://doi.org/10.1007/s10661-024-13286-7
1604. Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. https://doi.org/10.3390/land12071435
1605. A new paleoclimate perspective shows that arid regions will be drier under global warming conditions Y. Li et al. https://doi.org/10.1017/qua.2024.60
1606. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
1607. Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment Y. Zhou et al. https://doi.org/10.1016/j.jhydrol.2024.131888
1608. Substantial increase in future fluvial flood risk projected in China’s major urban agglomerations R. Jiang et al. https://doi.org/10.1038/s43247-023-01049-0
1609. Detectable global temperature responses to wildfires and volcanic eruptions Y. Li et al. https://doi.org/10.1073/pnas.2525500123
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1611. 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
1612. HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts C. Whaley et al. https://doi.org/10.5194/gmd-18-3265-2025
1613. Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble A. Zarrin & A. Dadashi-Roudbari https://doi.org/10.1007/s00704-021-03568-2
1614. Northern Hemisphere drought risk in a warming climate D. Balting et al. https://doi.org/10.1038/s41612-021-00218-2
1615. Rising vulnerability of compound risk inequality to ageing and extreme heatwave exposure in global cities M. Chen et al. https://doi.org/10.1038/s42949-023-00118-9
1616. Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature S. Schöngart et al. https://doi.org/10.5194/gmd-17-8283-2024
1617. Embedding the frontiers in climate action: navigating the evolving earth-human ecosystem Y. Zheng et al. https://doi.org/10.1038/s44168-025-00304-8
1618. Brief communication: Sensitivity analysis of peak water to ice thickness and temperature: A case study in the Western Kunlun Mountains of the Tibetan Plateau L. Gimenes et al. https://doi.org/10.5194/tc-20-171-2026
1619. Climate change projected to impact structural hillslope connectivity at the global scale A. Michalek et al. https://doi.org/10.1038/s41467-023-42384-2
1620. Role of Atlantic multidecadal variability in modulating Arctic sea ice loss and wetting Z. Cai et al. https://doi.org/10.1126/sciadv.ady7595
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1625. Migration, land loss and costs to 2100 due to coastal flooding under the IPCC AR6 sea-level rise scenarios and plausible adaptation choices C. Ballesteros et al. https://doi.org/10.3389/fmars.2025.1505633
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1628. Mid-Holocene Intertropical Convergence Zone migration: connection with Hadley cell dynamics and impacts on terrestrial hydroclimate J. Bian et al. https://doi.org/10.5194/cp-21-1209-2025
1629. Assessment of total and extreme precipitation over central Asia via statistical downscaling: Added value and multi-model ensemble projection L. Fan et al. https://doi.org/10.1016/j.accre.2023.01.004
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1631. Intensity and dynamics of extreme cold spells of the 21st century in France from CMIP6 data C. Cadiou & P. Yiou https://doi.org/10.5194/esd-16-1759-2025
1632. Assessment of a New Fire Risk Index for the Atlantic Forest, Brazil R. Delgado et al. https://doi.org/10.3390/f13111844
1633. Constraining the Date of a Seasonally Ice‐Free Arctic Using a Simple Model D. Bonan et al. https://doi.org/10.1029/2021GL094309
1634. Storylines of summer streamflow droughts in western Canadian watersheds: historical attribution and future projections R. Shrestha & A. Cannon https://doi.org/10.1038/s44304-026-00204-9
1635. Assessing the Performance of CMIP6 Models in Simulating Droughts across Global Drylands X. Yu et al. https://doi.org/10.1007/s00376-023-2278-4
1636. Evaluation of Dynamical Seasonal Prediction Skills for Tropical Cyclone Activity over the South China Sea in FGOALS-f2 J. Li et al. https://doi.org/10.3390/atmos14010085
1637. Greenhouse Warming Reduces Global Energy Conversion Into Oceanic Lee Waves Z. Yang et al. https://doi.org/10.1029/2023GL104467
1638. Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin F. Ehmele et al. https://doi.org/10.5194/nhess-22-677-2022
1639. The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases—The Fellowship of the GCMs M. Turbet et al. https://doi.org/10.3847/PSJ/ac6cf0
1640. Climate variability amplifies the need for vector-borne disease outbreak preparedness W. Hart et al. https://doi.org/10.1073/pnas.2507311122
1641. The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe S. Rabin et al. https://doi.org/10.1088/1748-9326/ac6312
1642. Soil carbon stocks can be negatively affected by land use and climate change in natural ecosystems of semi-arid environment of Iran Y. Kooch et al. https://doi.org/10.1016/j.geodrs.2022.e00591
1643. À quel climat futur adapter les activités économiques en France ? J. Soubeyroux https://doi.org/10.3917/re1.118.0007
1644. XGBoost-Based Susceptibility Model Exhibits High Accuracy and Robustness in Plateau Forest Fire Prediction C. Yang et al. https://doi.org/10.3390/f17010074
1645. 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
1646. 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
1647. 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
1648. 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
1649. Understanding climate changes in East Asia and Europe based on spatial climate analogs S. Paik et al. https://doi.org/10.1088/1748-9326/ad32e9
1650. Thermodynamics of Evaporation from the Ocean Surface R. Feistel & O. Hellmuth https://doi.org/10.3390/atmos14030560
1651. 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
1652. 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
1653. Evaluation and projection of changes in temperature and precipitation over Northwest China based on CMIP6 models X. Song et al. https://doi.org/10.1002/joc.8622
1654. Development of anthropogenic water regulation for Community integrated Earth System model (CIESM) H. Guo et al. https://doi.org/10.1016/j.jhydrol.2024.131192
1655. 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
1656. Seasonal advance of intense tropical cyclones in a warming climate K. Shan et al. https://doi.org/10.1038/s41586-023-06544-0
1657. Acceleration of U.S. Southeast and Gulf coast sea-level rise amplified by internal climate variability S. Dangendorf et al. https://doi.org/10.1038/s41467-023-37649-9
1658. 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
1659. The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 N. Gillett et al. https://doi.org/10.5194/gmd-18-4399-2025
1660. Time series of the summertime atmospheric water vapour isotopic composition at Concordia station, East Antarctica I. Ollivier et al. https://doi.org/10.5194/essd-17-5655-2025
1661. Historical Simulations With HadGEM3‐GC3.1 for CMIP6 M. Andrews et al. https://doi.org/10.1029/2019MS001995
1662. Springtime soil moisture variability and its changing environmental drivers: a CMIP6 multi-model ensemble analysis for the subtropical East Asian region S. Koralegedara et al. https://doi.org/10.1186/s40562-025-00436-z
1663. Automated, reliable, and efficient continental-scale replication of 7.3 petabytes of computational simulation data: A case study L. Lacinski et al. https://doi.org/10.1177/10943420261441742
1664. 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
1665. 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
1666. Drivers of Twenty-First Century U.S. Winter Precipitation Trends in CMIP6 Models: A Storyline-Based Approach D. Schmidt & K. Grise https://doi.org/10.1175/JCLI-D-21-0080.1
1667. The pace of change of summertime temperature extremes K. McKinnon et al. https://doi.org/10.1073/pnas.2406143121
1668. Uncertainties in estimating the effect of climate change on 100-year return value for significant wave height K. Ewans & P. Jonathan https://doi.org/10.1016/j.oceaneng.2023.113840
1669. 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
1670. Distinct drivers of recent seasonal precipitation increase over Central Asia: roles of anthropogenic aerosols and greenhouse gases J. Guo et al. https://doi.org/10.5194/acp-26-5169-2026
1671. Responses to future climate change in hydrological processes and hydrological drought in the upstream of Shiyang river basin, Northwest China R. Zhu et al. https://doi.org/10.1016/j.ejrh.2025.102310
1672. A Possible Approach for Decadal Prediction of the PDO Y. Huang & H. Wang https://doi.org/10.1007/s13351-020-9144-4
1673. Asymmetric response of day-to-day temperature variability to CO₂ forcing over Northern Hemisphere mid–high latitudes R. Gan et al. https://doi.org/10.1038/s41612-026-01372-1
1674. 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
1675. 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
1676. 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
1677. 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
1678. Anthropogenic climate change is worsening North American pollen seasons W. Anderegg et al. https://doi.org/10.1073/pnas.2013284118
1679. Projected Hydroclimate Changes on Hispaniola Island through the 21st Century in CMIP6 Models D. Herrera et al. https://doi.org/10.3390/atmos12010006
1680. 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
1681. Historical assessment and future projection of extreme precipitation in CMIP6 models: Global and continental T. Feng et al. https://doi.org/10.1002/joc.8077
1682. Future changes in precipitation over Guinea-Bissau under the Shared Socioeconomic Pathways (SSPs) J. Basse et al. https://doi.org/10.2166/wcc.2025.140
1683. 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
1684. Spatial and Temporal Change in Surface Air Temperature in the Tibetan Plateau and Future Warming as a Function of Global Warming H. Wang et al. https://doi.org/10.3390/atmos17050453
1685. Hadley cell expansion in CMIP6 models K. Grise & S. Davis https://doi.org/10.5194/acp-20-5249-2020
1686. 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
1687. 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
1688. 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
1689. 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
1690. Decadal climate predictions improved by ocean ensemble dispersion filtering C. Kadow et al. https://doi.org/10.1002/2016MS000787
1691. Can we trust CMIP5/6 future projections of European winter precipitation? E. Moreno-Chamarro et al. https://doi.org/10.1088/1748-9326/abf28a
1692. 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
1693. 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
1694. 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
1695. 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
1696. 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
1697. 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
1698. 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
1699. Weakening of carbon sink on the Qinghai–Tibet Plateau T. Wu et al. https://doi.org/10.1016/j.geoderma.2022.115707
1700. 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
1701. Micrometeorological variability and climate change affect snake overwintering habitat resilience R. Fallas et al. https://doi.org/10.1016/j.ecochg.2026.100108
1702. Logarithmic CO2 warming reverses North Atlantic winter atmospheric circulation changes R. Chemke & I. Mitevski https://doi.org/10.1038/s41612-025-01314-3
1703. 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
1704. 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
1705. 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
1706. 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
1707. 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
1708. An uncertain future change in aridity over the tropics P. Monerie et al. https://doi.org/10.1088/1748-9326/ad42b8
1709. Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau H. Li et al. https://doi.org/10.1016/j.ecolind.2024.112507
1710. 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
1711. 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
1712. CMIP6 projections of spatiotemporal changes in rainfall and droughts over India P. Naskar et al. https://doi.org/10.1007/s12040-023-02143-9
1713. Warming Patterns Affect El Niño Diversity in CMIP5 and CMIP6 Models M. Freund et al. https://doi.org/10.1175/JCLI-D-19-0890.1
1714. ASSESSMENT OF THE ADEQUACY OF THE REPRODUCTION OF SURFACE WATER TRANSFORMATION BY DIFFERENT CMIP6 MODELS IN THE NORTH ATLANTIC V. Kukushkin & S. Gulev https://doi.org/10.29006/1564-2291.JOR-2024.52(4).7
1715. The Zero Emissions Commitment Model Intercomparison Project (ZECMIP) contribution to C4MIP: quantifying committed climate changes following zero carbon emissions C. Jones et al. https://doi.org/10.5194/gmd-12-4375-2019
1716. 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
1717. 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
1718. 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
1719. Assessment of climate change in the North-East region of Côte d‘Ivoire: Future precipitation, temperature, and meteorological drought using CMIP6 models K. Kouman et al. https://doi.org/10.1080/23311916.2024.2345506
1720. 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
1721. Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations S. Samuel et al. https://doi.org/10.1007/s00382-024-07325-9
1722. Poleward shifts in marine fisheries under Arctic warming P. Fauchald et al. https://doi.org/10.1088/1748-9326/ac1010
1723. The Effect of Wind Stress on Seasonal Sea-Level Change on the Northwestern European Shelf T. Hermans et al. https://doi.org/10.1175/JCLI-D-21-0636.1
1724. 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
1725. 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
1726. 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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1769. The Role of Anthropogenic Forcing in Western United States Hydroclimate Extremes W. Zhang & R. Gillies https://doi.org/10.1029/2022GL100659
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1774. Spatiotemporal Dynamics of Drought–Flood Abrupt Alternations and Their Delayed Effects on Vegetation Growth in Heilongjiang River Basin H. Ma et al. https://doi.org/10.3390/w17101419
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1778. The 3D-Geoformer for ENSO studies: a Transformer-based model with integrated gradient methods for enhanced explainability L. Zhou & R. Zhang https://doi.org/10.1007/s00343-025-4330-y
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1784. Assessment of CMIP6-Based Future Climate Projections Selected for Impact Studies in Japan M. Hayashi & H. Shiogama https://doi.org/10.2151/sola.2022-016
1785. Possibilities for Improvement in Long-term Predictions of the Operational Climate Prediction System (GloSea6) for Spring by including Atmospheric Chemistry-Aerosol Interactions over East Asia H. Song et al. https://doi.org/10.5467/JKESS.2024.45.1.19
1786. Assessment of seven different global climate models for historical temperature and precipitation in Hatay, Türkiye M. Ozbuldu & A. Irvem https://doi.org/10.1007/s13762-024-06033-5
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1789. Substantially Reducing Deaths from PM _2.5 Pollution Under SDG3.9 Requires Transitions in Sustainable Development and Healthcare H. Yue et al. https://doi.org/10.2139/ssrn.3946991
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1791. 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
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1793. 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
1794. 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
1795. Sensitivity of Marine Heatwave Metrics to Ocean Model Resolution G. Pilo et al. https://doi.org/10.1029/2019GL084928
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1797. Attribution of Stratospheric and Tropospheric Ozone Changes Between 1850 and 2014 in CMIP6 Models G. Zeng et al. https://doi.org/10.1029/2022JD036452
1798. 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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1800. 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
1801. The link between intertropical convergence zone stagnation and bias in local shortwave cloud radiative forcing over tropical Africa in climate models T. Dombo et al. https://doi.org/10.1088/1748-9326/ad1083
1802. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al. https://doi.org/10.1016/j.agrformet.2024.110269
1803. Spatiotemporal patterns and driving factors of soil protection in the wind-water erosion area of Chinese Loess Plateau Q. Li et al. https://doi.org/10.1007/s40333-024-0033-z
1804. Drivers of uncertainty in future projections of Madden–Julian Oscillation teleconnections A. Jenney et al. https://doi.org/10.5194/wcd-2-653-2021
1805. 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
1806. Climate warming and increasing Vibrio vulnificus infections in North America E. Archer et al. https://doi.org/10.1038/s41598-023-28247-2
1807. Using Radiative Convective Equilibrium to Explore Clouds and Climate in the Community Atmosphere Model K. Reed et al. https://doi.org/10.1029/2021MS002539
1808. Evaluation of CMIP6 GCMs performance to simulate precipitation over Southeast Asia S. Pimonsree et al. https://doi.org/10.1016/j.atmosres.2022.106522
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1813. Future Climatic Projections and Hydrological Responses with a Data Driven Method: A Regional Climate Model Perspective H. Yang et al. https://doi.org/10.1007/s11269-024-03753-8
1814. The future North Atlantic jet stream and storm track: relative contributions from sea ice and sea surface temperature changes D. Köhler et al. https://doi.org/10.5194/wcd-6-669-2025
1815. Evaluation of Water Vapor Feedback Using a Two-Layer Atmospheric Box Model K. Morimoto et al. https://doi.org/10.3390/mmphys2020004
1816. 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
1817. Increasing aerosol direct effect despite declining global emissions in MPI-ESM1.2 A. Hermant et al. https://doi.org/10.5194/acp-24-10707-2024
1818. 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
1819. 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
1820. Weakening of the Atlantic Meridional Overturning Circulation driven by subarctic freshening since the mid-twentieth century G. Pontes & L. Menviel https://doi.org/10.1038/s41561-024-01568-1
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1822. Global impacts of recent Southern Ocean cooling S. Kang et al. https://doi.org/10.1073/pnas.2300881120
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1824. Rapid attribution analysis of the extraordinary heat wave on the Pacific coast of the US and Canada in June 2021 S. Philip et al. https://doi.org/10.5194/esd-13-1689-2022
1825. Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention J. Liang & J. Haywood https://doi.org/10.5194/acp-23-1687-2023
1826. The southern annular mode and its relationship with Antarctic temperature in contrasting future storylines G. Marshall et al. https://doi.org/10.1007/s00382-026-08081-8
1827. Large scale atmospheric conditions favoring storm surges in the North and Baltic Seas and possible future changes N. Schade et al. https://doi.org/10.3389/fenvs.2025.1601836
1828. Phenological and epidemiological impacts of climate change on peach production C. Vanalli et al. https://doi.org/10.1016/j.agsy.2024.103997
1829. A Spatially Detailed Projection of Environmental Conditions in the Arctic Initiated by Climate Change A. Kislov et al. https://doi.org/10.3390/atmos14061003
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1832. On the Superposition of Mean Advective and Eddy-Induced Transports in Global Ocean Heat and Salt Budgets F. Dias et al. https://doi.org/10.1175/JCLI-D-19-0418.1
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1835. Evaluation of Present-Day CMIP6 Model Simulations of Extreme Precipitation and Temperature over the Australian Continent N. Nishant et al. https://doi.org/10.3390/atmos13091478
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1841. 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
1842. Projected Strengthening of the Extratropical Surface Impacts of the Stratospheric Quasi‐Biennial Oscillation J. Rao et al. https://doi.org/10.1029/2020GL089149
1843. Climate Change Projected Effects on Hamatocaulis vernicosus Occurrence in Romania S. Ștefănuț et al. https://doi.org/10.3390/plants14213354
1844. Increasing risk of another Cape Town “Day Zero” drought in the 21st century S. Pascale et al. https://doi.org/10.1073/pnas.2009144117
1845. Excess water availability in northern mid-high latitudes contiguously migrated from ocean under climate change Y. Guan et al. https://doi.org/10.1126/sciadv.adv0282
1846. A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia M. Grose et al. https://doi.org/10.1016/j.cliser.2023.100368
1847. Heat waves related to Quasi-Biweekly variability over Southern China in the FGOALS-g3 model B. Zheng et al. https://doi.org/10.1016/j.dynatmoce.2024.101443
1848. Prediction of current and future environmental suitability for Toona ciliata cultivation in Brazil A. da Mota Porto & E. Novaes https://doi.org/10.1007/s44415-025-00029-w
1849. Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies X. XIN et al. https://doi.org/10.2151/jmsj.2019-043
1850. A review of recent studies on wind resource projections under climate change C. Jung & D. Schindler https://doi.org/10.1016/j.rser.2022.112596
1851. Quantifying the Role of Atmospheric and Surface Albedo on Polar Amplification Using Satellite Observations and CMIP6 Model Output A. Södergren & A. McDonald https://doi.org/10.1029/2021JD035058
1852. Global Increase of the Intensity of Tropical Cyclones under Global Warming Based on their Maximum Potential Intensity and CMIP6 Models A. Pérez-Alarcón et al. https://doi.org/10.1007/s40710-023-00649-4
1853. Solar tower power generation under future attenuation and climate scenarios J. Polo et al. https://doi.org/10.1016/j.rser.2024.114997
1854. Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer https://doi.org/10.1088/2752-5295/ad574e
1855. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. https://doi.org/10.1038/s43017-022-00379-5
1856. Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. https://doi.org/10.5194/acp-23-13755-2023
1857. 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
1858. 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
1859. 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
1860. The Diurnal Temperature Range in CMIP6 Models: Climatology, Variability, and Evolution K. Wang & G. Clow https://doi.org/10.1175/JCLI-D-19-0897.1
1861. Predicting the response of three common subtropical tree species in China to climate change S. Jin et al. https://doi.org/10.3389/ffgc.2023.1299120
1862. Unraveling uncertainties in near-term runoff projections across Europe: the major role of atmospheric noise J. Deman & J. Boé https://doi.org/10.1088/1748-9326/addb66
1863. Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. https://doi.org/10.2139/ssrn.4567664
1864. PT-ESM: A Parameter-Testing and Integration Framework for Earth System Models Oriented towards High-Performance Computing J. Guo et al. https://doi.org/10.3390/atmos15080935
1865. Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios L. Yao et al. https://doi.org/10.1007/s40333-022-0094-9
1866. Multi-year La Niña frequency tied to southward tropical Pacific wind shift G. Wang & A. Santoso https://doi.org/10.1038/s41612-024-00772-5
1867. Dissolved inorganic carbon entrainment into the mixed layer of the western subarctic North Pacific: a key process of ocean acidification under historical carbon dioxide emissions A. Nagano et al. https://doi.org/10.1186/s40645-025-00709-3
1868. Reliability of HighResMIP CMIP6 Models for Indian Summer Monsoon Extremes and Intraseasonal Variability: Insights from Enhanced Horizontal Resolution A. Kumari et al. https://doi.org/10.1007/s41748-025-00974-8
1869. 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
1870. Projected urban exposure to extreme precipitation over South Asia S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2022.153664
1871. 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
1872. Impacts of Land Use Change on Carbon Storage and Future Projections in the Yangtze River Delta Urban Agglomeration Under SSP-RCP Scenarios Y. Weng et al. https://doi.org/10.3390/land15020297
1873. Recent European drying and its link to prevailing large-scale atmospheric patterns S. Bakke et al. https://doi.org/10.1038/s41598-023-48861-4
1874. The El Niño–Southern Oscillation teleconnection to southern Africa in a changing climate J. Steinkopf & F. Engelbrecht https://doi.org/10.1088/1748-9326/ade60e
1875. 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
1876. The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections J. Cos et al. https://doi.org/10.5194/esd-13-321-2022
1877. 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
1878. 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
1879. 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
1880. Mechanisms for African easterly wave changes in simulations of the mid-Holocene J. Bian et al. https://doi.org/10.1007/s00382-023-06736-4
1881. North Atlantic Ocean Circulation and Related Exchange of Heat and Salt Between Water Masses S. Berglund et al. https://doi.org/10.1029/2022GL100989
1882. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.3
1883. 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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2075. 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
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2089. 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
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2092. 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
2093. 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
2094. 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
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2097. Uncertainties in the Annual Cycle of Rainfall Characteristics over West Africa in CMIP5 Models M. Sow et al. https://doi.org/10.3390/atmos11020216
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2104. 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
2105. 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
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2107. 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
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2109. 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
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2111. 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
2112. 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
2113. 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
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2120. 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
2121. 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
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2126. 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
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2128. Microbial functional diversity and redundancy: moving forward P. Ramond et al. https://doi.org/10.1093/femsre/fuae031
2129. 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
2130. LGM Paleoclimate Constraints Inform Cloud Parameterizations and Equilibrium Climate Sensitivity in CESM2 J. Zhu et al. https://doi.org/10.1029/2021MS002776
2131. 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
2132. 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
2133. 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
2134. 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
2135. Structure of the Pacific Walker Circulation Depicted by the Reanalysis and CMIP6 E. Eresanya & Y. Guan https://doi.org/10.3390/atmos12091219
2136. 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
2137. 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
2138. 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
2139. Changes in the distribution of annual maximum temperatures in Europe G. Auld et al. https://doi.org/10.5194/ascmo-9-45-2023
2140. 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
2141. 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
2142. Response of stratospheric water vapour to warming constrained by satellite observations P. Nowack et al. https://doi.org/10.1038/s41561-023-01183-6
2143. 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
2144. 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
2145. 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
2146. 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
2147. 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
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2149. 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
2150. Analysis of Climate-Oriented Researches in Building K. Verichev et al. https://doi.org/10.3390/app11073251
2151. 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
2152. 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
2153. Analysis of 20th century surface air temperature using linear dynamical modes A. Gavrilov et al. https://doi.org/10.1063/5.0028246
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2155. 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
2156. 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
2157. 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
2158. 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
2159. 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
2160. 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
2161. 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
2162. 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
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2164. 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
2165. Climate‐change modelling at reduced floating‐point precision with stochastic rounding T. Kimpson et al. https://doi.org/10.1002/qj.4435
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2168. Divergent data-driven estimates of global soil respiration S. Hashimoto et al. https://doi.org/10.1038/s43247-023-01136-2
2169. 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
2170. Disentangling the impact of Atlantic Niño on sea-air CO2 flux S. Koseki et al. https://doi.org/10.1038/s41467-023-38718-9
2171. 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
2172. Seasonal prediction and simulation of the cold surges over the Korean Peninsula using a CGCM E. Kim et al. https://doi.org/10.1007/s00704-023-04731-7
2173. Evaluation of the CMIP6 Performance in Simulating Precipitation in the Amazon River Basin C. Monteverde et al. https://doi.org/10.3390/cli10080122
2174. Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression M. Bonas et al. https://doi.org/10.1002/env.2833
2175. Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases A. Anand et al. https://doi.org/10.1038/s41598-018-21865-1
2176. Multiyear dry periods in Southern Africa A. Hoell et al. https://doi.org/10.1002/joc.8026
2177. Cropland exposure to projected future changes in diurnal temperature range across Bangladesh M. Kamruzzaman et al. https://doi.org/10.1007/s00704-026-06084-3
2178. Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research Z. Song et al. https://doi.org/10.1038/s41597-020-0566-8
2179. 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
2180. Blue and green water availability under climate change in arid and semi-arid regions F. Ershadfath et al. https://doi.org/10.1016/j.ecoinf.2024.102743
2181. Evaluation and Projection of Global Burned Area Based on Global Climate Models and Satellite Fire Product X. Wang et al. https://doi.org/10.3390/rs16244751
2182. Spatial Distribution Characteristics of Suitable Planting Areas for Pyrus Species under Climate Change in China M. Wang et al. https://doi.org/10.3390/plants12071559
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2184. Future drought patterns in Southwest China: A CMIP6-based analysis using multiple drought indices Y. Long et al. https://doi.org/10.1016/j.ejrh.2025.102702
2185. Land–atmosphere feedbacks weaken the risks of precipitation extremes over Australia in a warming climate M. Chang et al. https://doi.org/10.1016/j.accre.2024.08.005
2186. Mais qui vide l’Antarctique dans l’océan à la grande cuillère ? J. Caillet et al. https://doi.org/10.1051/climat/202523001
2187. Near-Surface Temperature Climate Change in the Caspian Region: A Study Using Meteorological Station Data, Reanalyses, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13100201
2188. ENSO contribution to the assessment of long-term cloud feedback on global warming H. Liu et al. https://doi.org/10.5194/acp-26-5589-2026
2189. Salinity Biases and the Variability of the Atlantic Meridional Overturning Circulation in GFDL-CM3 F. Matos et al. https://doi.org/10.1007/s12601-020-0040-8
2190. Mismatch between the Optimal Ages for Gross Primary Production and Net Ecosystem Production in Norway Spruce Forests J. Zhao et al. https://doi.org/10.2139/ssrn.3993190
2191. Influence of the North American dipole on the Atlantic warm pool J. Chao et al. https://doi.org/10.3389/feart.2023.1117030
2192. TREND ANALYSIS OF AIR TEMPERATURE AND ATMOSPHERIC PRECIPITATION IN UKRAINE BASED ON OBSERVATIONAL DATA AND CMIP6 CLIMATE PROJECTIONS V. Osadchyi et al. https://doi.org/10.15407/Meteorology2025.08.124
2193. Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests M. Sparey et al. https://doi.org/10.3390/atmos15060700
2194. Assessment of NA‐CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network S. SY et al. https://doi.org/10.1002/joc.8331
2195. Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation J. Doelman et al. https://doi.org/10.1016/j.gloenvcha.2017.11.014
2196. Future Land Precipitation Changes Over the North American Monsoon Region Using CMIP5 and CMIP6 Simulations M. Hernandez & L. Chen https://doi.org/10.1029/2021JD035911
2197. Robust changes in global subtropical circulation under greenhouse warming S. Zhou et al. https://doi.org/10.1038/s41467-023-44244-5
2198. A defense of usable climate mitigation science: how science can contribute to social movements H. Drake & G. Henderson https://doi.org/10.1007/s10584-022-03347-6
2199. Tropical eastern Pacific cooling trend reinforced by human activity E. Chung et al. https://doi.org/10.1038/s41612-024-00713-2
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2201. An overview of cloud–radiation denial experiments for the Energy Exascale Earth System Model version 1 B. Harrop et al. https://doi.org/10.5194/gmd-17-3111-2024
2202. Discrepancies in precipitation trends between observational and reanalysis datasets in the Amazon Basin A. Polasky et al. https://doi.org/10.1038/s41598-025-87418-5
2203. Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador F. Santos et al. https://doi.org/10.1371/journal.pone.0281869
2204. Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions X. Tan et al. https://doi.org/10.1038/s41467-023-38510-9
2205. Nonlinear country-heterogenous impact of the Indian Ocean Dipole on global economies W. Cai et al. https://doi.org/10.1038/s41467-024-48509-5
2206. Inter-hemispheric differences in energy budgets and cross-equatorial transport anomalies during the 20th century V. Lembo et al. https://doi.org/10.1007/s00382-018-4572-x
2207. Changes in global DMS production driven by increased CO2 levels and its impact on radiative forcing J. Zhao et al. https://doi.org/10.1038/s41612-024-00563-y
2208. Land-atmosphere feedbacks and anthropogenic greenhouse gas forcing intensify subseasonal drought-to-pluvial abrupt transitions Y. Fu et al. https://doi.org/10.1038/s43247-026-03371-9
2209. Assessing South Indian Ocean tropical cyclone characteristics in HighResMIP simulations P. Pall et al. https://doi.org/10.1002/joc.8609
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2211. Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis https://doi.org/10.3389/fenvs.2023.1289142
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2215. Non‐Radiative Effect of Land Use/Land Cover Differences on Land Surface Temperature Simulated by Noah‐MP Land Surface Model Over East Asia G. Zhang et al. https://doi.org/10.1029/2022JD037722
2216. The University of Toronto Climate Downscaling Workflow: Tools and Resources for Climate Change Impact Analysis M. Morris et al. https://doi.org/10.21105/jose.00243
2217. Ocean Carbon Cycle Feedbacks Under Negative Emissions J. Schwinger & J. Tjiputra https://doi.org/10.1029/2018GL077790
2218. Projection of Cloud Vertical Structure and Radiative Effects Along the South Asian Region in CMIP6 Models P. Khardekar et al. https://doi.org/10.3390/atmos16060746
2219. Biases Beyond the Mean in CMIP6 Extreme Precipitation: A Global Investigation H. Abdelmoaty et al. https://doi.org/10.1029/2021EF002196
2220. Substantial increase in daytime-nighttime compound heat waves and associated population exposure in China projected by the CMIP6 multimodel ensemble W. Xie et al. https://doi.org/10.1088/1748-9326/ac592d
2221. Projected shrinking of tropical vegetation biomass potential with future hydroclimatic shifts F. Meunier et al. https://doi.org/10.1088/1748-9326/ade81a
2222. The European summer heatwave of 2019 – a regional storyline perspective T. Klimiuk et al. https://doi.org/10.5194/esd-16-239-2025
2223. Arctic warming from a high-latitude effusive volcanic eruption T. Zoëga et al. https://doi.org/10.1038/s41598-025-98811-5
2224. A regime view of future atmospheric circulation changes in northern mid-latitudes F. Fabiano et al. https://doi.org/10.5194/wcd-2-163-2021
2225. Climate-driven distribution shifts of Iranian amphibians and identification of refugia and hotspots for effective conservation S. Vaissi & A. Mohammadi https://doi.org/10.1038/s41598-024-79293-3
2226. The improvements of sea surface temperature simulation over China Offshore Sea in present climate from CMIP5 to CMIP6 models R. Deng et al. https://doi.org/10.1007/s00382-023-06843-2
2227. Potential effect of the marine carbon cycle on the multiple equilibria window of the Atlantic Meridional Overturning Circulation A. Boot et al. https://doi.org/10.5194/esd-15-1567-2024
2228. Insights From CMIP6 for Australia's Future Climate M. Grose et al. https://doi.org/10.1029/2019EF001469
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2230. Weather extremes over Europe under 1.5 and 2.0 °C global warming from HAPPI regional climate ensemble simulations K. Sieck et al. https://doi.org/10.5194/esd-12-457-2021
2231. 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
2232. 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
2233. 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
2234. Evaluating Arctic sea ice and snow thickness simulations: methodological insights from MOSAiC and CMIP6 data S. Trivedi et al. https://doi.org/10.3389/feart.2026.1744420
2235. Anthropogenic aerosol impacts on Pacific Coast precipitation in CMIP6 models R. Allen & X. Zhao https://doi.org/10.1088/2752-5295/ac7d68
2236. 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
2237. Present day and future urban cooling enabled by integrated water management K. Nice et al. https://doi.org/10.3389/frsc.2024.1337449
2238. The Unusual Stratospheric Arctic Winter 2019/20: Chemical Ozone Loss From Satellite Observations and TOMCAT Chemical Transport Model M. Weber et al. https://doi.org/10.1029/2020JD034386
2239. Suitability Analysis of Rice Cropping Patterns in China Using the MaxEnt Model Y. Cai et al. https://doi.org/10.3390/agronomy16100961
2240. Future Changes in Temperature and Precipitation over Northeastern Brazil by CMIP6 Model L. Dantas et al. https://doi.org/10.3390/w14244118
2241. The Spring Heat Source Over the Qinghai–Tibetan Plateau Linked With the Winter Warm Arctic–Cold Siberia Pattern Impacting Summer Drought in China Y. Yang et al. https://doi.org/10.3389/feart.2022.835101
2242. Characterization of heatwave pattern and its long-run predictions using CMIP6 model in western and north-western climatic zones of Bangladesh R. Ahmad et al. https://doi.org/10.1007/s11356-025-36209-6
2243. Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds S. Dhomse et al. https://doi.org/10.5194/acp-20-13627-2020
2244. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. https://doi.org/10.1007/s00376-020-0151-2
2245. Scenario Dependence of Future Precipitation Changes across Japan in CMIP6 M. Hayashi et al. https://doi.org/10.2151/sola.2024-028
2246. Sources of uncertainty in Greenland surface mass balance in the 21st century K. Holube et al. https://doi.org/10.5194/tc-16-315-2022
2247. Aerosol characteristics in CMIP6 models' global simulations and their evaluation with the satellite measurements J. Bharath et al. https://doi.org/10.1002/joc.8324
2248. Global mean thermosteric sea level projections by 2100 in CMIP6 climate models S. Jevrejeva et al. https://doi.org/10.1088/1748-9326/abceea
2249. Future changes in the meteorological potential for winter haze over Beijing during periods of peak carbon emissions and carbon neutrality in China projected by Coupled Model Intercomparison Project Phase 6 models J. Wang et al. https://doi.org/10.1002/joc.7352
2250. Daily Variability of Climatic Projection Extremes Indices of Precipitation and Temperature in the Koliba-Corubal Watershed (Guinea and Guinea-Bissau) E. Cris & A. Cheikh https://doi.org/10.70322/hee.2026.10005
2251. The importance of stratocumulus clouds for projected warming patterns and circulation changes P. Breul et al. https://doi.org/10.5194/acp-25-11991-2025
2252. Projections of Australian low pressure systems in downscaled CMIP6 models A. Pepler et al. https://doi.org/10.1071/ES25025
2253. Contrasting responses to climate change – predicting bloom of major temperate fruit tree species in the Mediterranean region and Central Europe L. Caspersen et al. https://doi.org/10.1016/j.agrformet.2025.110859
2254. Exploring the aridity risk in agricultural lands of southwest Spain: the Extremadura region J. Lozano-Parra https://doi.org/10.1080/19475705.2025.2594094
2255. CAS-ESM2.0 Dataset for the Carbon Dioxide Removal Model Intercomparison Project (CDRMIP) J. Jin et al. https://doi.org/10.1007/s00376-023-3089-3
2256. Assessing hydropower generation potential in the Mekong River Basin under future climate scenarios S. Ly et al. https://doi.org/10.1007/s44367-026-00029-3
2257. A basin scale future projection of drought characteristics using bias-corrected CMIP6 (MIROC6) model ensemble U. Senapati et al. https://doi.org/10.1007/s12040-025-02632-z
2258. Emergence of Future Sea-Level Pressure Patterns in Recent Summertime East Asia T. OSE et al. https://doi.org/10.2151/jmsj.2024-012
2259. Mechanisms of Internal Atlantic Multidecadal Variability in HadGEM3-GC3.1 at Two Different Resolutions W. Lai et al. https://doi.org/10.1175/JCLI-D-21-0281.1
2260. Game analysis of future rice yield changes in China based on explainable machine-learning and planting date optimization Z. Zhang et al. https://doi.org/10.1016/j.fcr.2024.109557
2261. 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
2262. Modulation of weather type transitions on temperature and precipitation across the continental U.S. C. Ratterman et al. https://doi.org/10.1007/s00382-022-06626-1
2263. Assessing the climate impact of an improved volcanic sulfate aerosol representation in E3SM Z. Ke et al. https://doi.org/10.5194/gmd-18-4137-2025
2264. 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
2265. Average and extreme heatwaves in Europe at 0.5–2.0 °C global warming levels in CMIP6 model simulations K. Ruosteenoja & K. Jylhä https://doi.org/10.1007/s00382-023-06798-4
2266. Reproduction of Indian High Temperature Patterns: A CMIP6 Model Evaluation G. Dalal et al. https://doi.org/10.1002/joc.70391
2267. Combining meta-analysis and machine learning to assess global greenhouse CO2 enrichment for crop yields: Suitability and future climate resilience J. Sun et al. https://doi.org/10.1016/j.agsy.2026.104691
2268. 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
2269. 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
2270. Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia S. Song et al. https://doi.org/10.1007/s00382-022-06465-0
2271. Moderate climate sensitivity due to opposing mixed-phase cloud feedbacks I. Tan et al. https://doi.org/10.1038/s41612-025-00948-7
2272. Overestimation of past and future increases in global river flow by Earth system models Y. Zhang et al. https://doi.org/10.1038/s41561-025-01897-9
2273. On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models M. Norgate et al. https://doi.org/10.1007/s00382-024-07389-7
2274. 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
2275. The other climate crisis T. Shaw & B. Stevens https://doi.org/10.1038/s41586-025-08680-1
2276. Climate change affects the potential distribution of a Neotropical freshwater migratory fish B. Souza et al. https://doi.org/10.1590/1982-0224-2025-0091
2277. An even drier future for the arid lands R. Allan & H. Douville https://doi.org/10.1073/pnas.2320840121
2278. The response of soil organic carbon content of grasslands in Northern Xinjiang to future climate change G. Wang et al. https://doi.org/10.1016/j.pce.2024.103576
2279. 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
2280. Multiple Metrics Informed Projections of Future Precipitation in China L. Wang et al. https://doi.org/10.1029/2021GL093810
2281. Framework for an Ocean‐Connected Supermodel of the Earth System F. Counillon et al. https://doi.org/10.1029/2022MS003310
2282. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. https://doi.org/10.1029/2021JD035852
2283. 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
2284. 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
2285. 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
2286. Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. https://doi.org/10.5194/esd-12-1037-2021
2287. 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
2288. 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
2289. Dryland dominance in the slowdown of global vegetation carbon uptake F. Li et al. https://doi.org/10.1038/s41561-026-01957-8
2290. Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet C. Kittel et al. https://doi.org/10.5194/tc-15-1215-2021
2291. 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
2292. Variability in the global energy budget and transports 1985–2017 C. Liu et al. https://doi.org/10.1007/s00382-020-05451-8
2293. The weakening AMOC under extreme climate change G. Madan et al. https://doi.org/10.1007/s00382-023-06957-7
2294. Simulated response of the active layer thickness of permafrost to climate change R. Li et al. https://doi.org/10.1016/j.aosl.2020.100007
2295. Impact of coupled climate change and human exploitation on groundwater dynamics in agricultural intensive planting areas J. Li et al. https://doi.org/10.1016/j.gsd.2025.101575
2296. The attribution of human health outcomes to climate change: transdisciplinary practical guidance K. Ebi et al. https://doi.org/10.1007/s10584-025-03976-7
2297. Atmospheric Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science P. Blanken et al. https://doi.org/10.1029/2021EA002204
2298. Spectators or participants: How can SETAC become more engaged in international climate change research programs? R. Stahl et al. https://doi.org/10.1002/etc.3868
2299. 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
2300. Impact of ocean data assimilation on the sub‐polar North Atlantic in MPI‐ESM S. Brune & V. Koul https://doi.org/10.1002/qj.4922
2301. 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
2302. Multi-decadal variation of ENSO forecast skill since the late 1800s J. Lou et al. https://doi.org/10.1038/s41612-023-00417-z
2303. 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
2304. Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6 S. Sobie et al. https://doi.org/10.1080/07055900.2021.2011103
2305. Multi-model fusion method for reconstructing the dry-wet time series of daily precipitation and its application D. Pengxin et al. https://doi.org/10.1016/j.uclim.2025.102594
2306. 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
2307. 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
2308. 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
2309. 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
2310. State-of-the-art climate models reduce dominant dynamical uncertainty in projections of extreme precipitation N. Ritzhaupt & D. Maraun https://doi.org/10.1088/2752-5295/ad2eb2
2311. 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
2312. 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
2313. 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
2314. MIROC6 Large Ensemble (MIROC6-LE): experimental design and initial analyses H. Shiogama et al. https://doi.org/10.5194/esd-14-1107-2023
2315. 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
2316. 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
2317. Vertical Structure of the QBO in Observations and CMIP6 Models: Influence on Eastern China Winter Temperature X. Xu et al. https://doi.org/10.1007/s00376-025-4260-9
2318. SST‐driven variability of the East Asian summer jet on a decadal time‐scale in CMIP6 models M. Patterson et al. https://doi.org/10.1002/qj.4219
2319. Inter‐Model Spread of North Tropical Atlantic Trans‐Basin Effect Substantially Biases Tropical Pacific Sea Surface Temperature Multiyear Prediction J. Yang et al. https://doi.org/10.1029/2022GL098620
2320. Compound and successive events of extreme precipitation and extreme runoff under heatwaves based on CMIP6 models P. Sun et al. https://doi.org/10.1016/j.scitotenv.2023.162980
2321. Projected evolution of droughts and human exposure in the contiguous United States under SSP5-8.5: a regional downscaling perspective L. Zhang et al. https://doi.org/10.1088/1748-9326/adf4f9
2322. Global economic impact of weather variability on the rich and the poor L. Quante et al. https://doi.org/10.1038/s41893-024-01430-7
2323. Aerosol impacts on the East Asian winter monsoon: Insights from TaiESM1 and CMIP6 simulations I. Tsai et al. https://doi.org/10.1002/joc.8483
2324. Understanding Differences in North Atlantic Poleward Ocean Heat Transport and Its Variability in Global Climate Models E. Madonna & A. Sandø https://doi.org/10.1029/2021GL096683
2325. An analytical framework reduces cloud feedback uncertainty by linking percentage cloud change to surface ocean warming patterns J. Ma et al. https://doi.org/10.1038/s41612-026-01339-2
2326. Evaluation of the CAS-ESM2-0 Performance in Simulating the Global Ocean Salinity Change G. Li et al. https://doi.org/10.3390/atmos14010107
2327. Global Historical Reanalysis with a 60-km AGCM and Surface Pressure Observations: OCADA M. ISHII et al. https://doi.org/10.2151/jmsj.2024-010
2328. Historical and future changes of surface ozone over China from CMIP6 models, including an assessment of present-day uncertainties in model prediction S. Li et al. https://doi.org/10.5194/acp-26-3669-2026
2329. Human Influence on the Increasing Drought Risk Over Southeast Asian Monsoon Region L. Zhang et al. https://doi.org/10.1029/2021GL093777
2330. Arctic Troposphere Warming Driven by External Radiative Forcing and Modulated by the Pacific and Atlantic L. Suo et al. https://doi.org/10.1029/2022JD036679
2331. The Dependence of Mean Climate State on Shortwave Absorption by Water Vapor H. Kim et al. https://doi.org/10.1175/JCLI-D-21-0417.1
2332. Lessened projections of Arctic warming and wetting after correcting for model errors in global warming and sea ice cover Z. Cai et al. https://doi.org/10.1126/sciadv.adr6413
2333. Recent Eurasian winter cooling partly caused by internal multidecadal variability amplified by Arctic sea ice-air interactions A. Dai & J. Deng https://doi.org/10.1007/s00382-021-06095-y
2334. An unsupervised learning approach to identifying blocking events: the case of European summer C. Thomas et al. https://doi.org/10.5194/wcd-2-581-2021
2335. Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6 Y. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.130497
2336. Doubling of the population exposed to drought over South Asia: CMIP6 multi-model-based analysis S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2021.145186
2337. Assessment of Spatio-Temporal Trends in Rainfall Indices in Senegal: Validation of CMIP6 Models over the Historical Period and Projections Under Future Climate Scenarios I. Diouf et al. https://doi.org/10.3390/cli13120247
2338. Water-saving irrigated area expansion hardly enhances crop yield while saving water under climate scenarios in China Z. Yue et al. https://doi.org/10.1038/s43247-025-02279-0
2339. 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
2340. The Tropical Basin Interaction Model Intercomparison Project (TBIMIP) I. Richter et al. https://doi.org/10.5194/gmd-18-2587-2025
2341. Skilful seasonal streamflow forecasting using a fully coupled global climate model G. Narváez-Campo & C. Ardilouze https://doi.org/10.5194/hess-29-4739-2025
2342. Climate change impact on photovoltaic power potential in South America G. Narvaez et al. https://doi.org/10.1088/2515-7620/acf02e
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2344. Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. https://doi.org/10.1029/2020EA001520
2345. Using Optimization to Investigate the Adaptive Operation of Reservoirs under the Context of Climate Crisis N. Hang et al. https://doi.org/10.1021/acsestwater.4c00389
2346. Future projections of hurricane intensity in the southeastern U.S.: sensitivity to different Pseudo-Global Warming methods P. Olschewski & H. Kunstmann https://doi.org/10.3389/fclim.2024.1353396
2347. The Impact of Climate Change on Evapotranspiration and Flow in a Major Basin in Northern Mexico A. Martínez-Sifuentes et al. https://doi.org/10.3390/su15010847
2348. Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100 S. Jian et al. https://doi.org/10.3389/ffgc.2023.1157285
2349. Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments R. Prestele et al. https://doi.org/10.5194/esd-8-369-2017
2350. Emergence of Antarctic mineral resources in a warming world E. Lucas et al. https://doi.org/10.1038/s41558-026-02569-1
2351. Intensified dominance of El Niño-like convection relevant for global atmospheric circulation variations F. Cai et al. https://doi.org/10.1038/s41612-025-01140-7
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2445. Climate Change and Extreme Events in Northeast Atlantic and Azores Islands Region F. Carvalho et al. https://doi.org/10.3390/cli11120238
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2454. 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
2455. 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
2456. Disentangling the causes of the 1816 European year without a summer A. Schurer et al. https://doi.org/10.1088/1748-9326/ab3a10
2457. 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
2458. Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden Y. Ma et al. https://doi.org/10.3390/ijerph17186786
2459. Optimal Strategies for Climate Change Mitigation M. Arrighini et al. https://doi.org/10.1016/j.ifacol.2024.07.095
2460. 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
2461. 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
2462. 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
2463. 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
2464. Distribution of Trachelospermum jasminoides Under the Influence of Different Environmental Factors H. Yu et al. https://doi.org/10.3390/agriculture15030285
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2466. 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
2467. 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
2468. A doubled increasing trend of evapotranspiration on the Tibetan Plateau X. Chen et al. https://doi.org/10.1016/j.scib.2024.03.046
2469. 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
2470. 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
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2474. Investigating the Future Precipitation Changes Over the Kingdom of Bahrain Using CMIP6 Projections J. Drisya & W. Al-Zubari https://doi.org/10.1007/s41748-025-00578-2
2475. Optimal areas and climate change effects on dragon fruit cultivation in Mesoamerica V. Sosa et al. https://doi.org/10.1017/S0021859620000775
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2477. 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
2478. 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
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2483. A Preliminary Assessment of Projected CMIP6 Extreme Rainfall in the Subarnarekha River Basin S. Kumar & V. Singh https://doi.org/10.48084/etasr.13075
2484. 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
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2491. 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
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2494. Impact of Climate Change and Drought Attributes in Nigeria A. Ogunrinde et al. https://doi.org/10.3390/atmos13111874
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2496. 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
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2499. 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
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2504. 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
2505. 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
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2509. Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape A. Basukala & L. Rasche https://doi.org/10.3390/land11081355
2510. 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
2511. 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
2512. 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
2513. 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
2514. 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
2515. A Strong Anthropogenic Black Carbon Forcing Constrained by Pollution Trends Over China Y. Liu et al. https://doi.org/10.1029/2022GL098965
2516. 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
2517. Volcanic Radiative Forcing From 1979 to 2015 A. Schmidt et al. https://doi.org/10.1029/2018JD028776
2518. Enhancing machine learning-based seasonal precipitation forecasting using CMIP6 simulations E. Pinheiro & T. Ouarda https://doi.org/10.1016/j.atmosres.2025.108463
2519. Enhanced generation of internal tides under global warming Z. Yang et al. https://doi.org/10.1038/s41467-024-52073-3
2520. The emerging human fingerprint on global extreme fire weather M. Turco et al. https://doi.org/10.1126/sciadv.adx9845
2521. Assessing the Impact of Initialization on Decadal Prediction Skill R. Sospedra‐Alfonso & G. Boer https://doi.org/10.1029/2019GL086361
2522. 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
2523. 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
2524. 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
2525. 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
2526. 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
2527. 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
2528. 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
2529. 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
2530. Ocean warming and accelerating Southern Ocean zonal flow J. Shi et al. https://doi.org/10.1038/s41558-021-01212-5
2531. Updated global and regional trends of stratospheric ozone profiles V. Sofieva et al. https://doi.org/10.5194/acp-26-7387-2026
2532. Using Ice Cores to Evaluate CMIP6 Aerosol Concentrations Over the Historical Era K. Moseid et al. https://doi.org/10.1029/2021JD036105
2533. 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
2534. 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
2535. 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
2536. 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
2537. Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al. https://doi.org/10.1088/1748-9326/ab492f
2538. 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
2539. 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
2540. 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
2541. Strategies for climate-resilient global wind and solar power systems D. Zheng et al. https://doi.org/10.1038/s41586-025-09266-7
2542. 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
2543. 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
2544. Constraining the First Year of Ice‐Free Arctic: Importance of Regional Perspective S. Paik et al. https://doi.org/10.1029/2022EF003313
2545. 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
2546. 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
2547. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia Z. Iqbal et al. https://doi.org/10.1016/j.atmosres.2021.105525
2548. 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
2549. Projections of the Transient State‐Dependency of Climate Feedbacks R. Bastiaansen et al. https://doi.org/10.1029/2021GL094670
2550. 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
2551. Multi-year El Niño events tied to the North Pacific Oscillation R. Ding et al. https://doi.org/10.1038/s41467-022-31516-9
2552. 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
2553. Increasing 2020‐Like Boreal Summer Rainfall Extremes Over Northeast Indian Subcontinent Under Greenhouse Warming H. Tang et al. https://doi.org/10.1029/2021GL096377
2554. 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
2555. 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
2556. 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
2557. Cumulative risk of future bleaching for the world’s coral reefs C. Mellin et al. https://doi.org/10.1126/sciadv.adn9660
2558. 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
2559. 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
2560. 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
2561. 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
2562. 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
2563. Global River Discharge and Floods in the Warmer Climate of the Last Interglacial P. Scussolini et al. https://doi.org/10.1029/2020GL089375
2564. 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
2565. Global rainfall erosivity: Observation, attribution, and projection Y. Tong et al. https://doi.org/10.1016/j.iswcr.2025.12.005
2566. Population and Economic Projections in the Yangtze River Basin Based on Shared Socioeconomic Pathways M. Zhu et al. https://doi.org/10.3390/su12104202
2567. Effect of Climate Change on Thermal Loads in Concrete Box Girders S. Saad et al. https://doi.org/10.1061/JBENF2.BEENG-6835
2568. Distinct Influences of Land Cover and Land Management on Seasonal Climate D. Singh et al. https://doi.org/10.1029/2018JD028874
2569. Benchmarking Simulated Precipitation Variability Amplitude across Time Scales M. Ahn et al. https://doi.org/10.1175/JCLI-D-21-0542.1
2570. 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
2571. 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
2572. Contrasting Anthropogenic Drivers Behind Asymmetric Warming in the Arctic and Antarctica B. Swain et al. https://doi.org/10.34133/olar.0127
2573. 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
2574. 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
2575. Footprint of greenhouse forcing in daily temperature variability M. Kotz et al. https://doi.org/10.1073/pnas.2103294118
2576. 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
2577. 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
2578. A Comparison of the CMIP6midHoloceneandlig127kSimulations in CESM2 B. Otto‐Bliesner et al. https://doi.org/10.1029/2020PA003957
2579. 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
2580. 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
2581. 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
2582. 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
2583. 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
2584. 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
2585. Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al. https://doi.org/10.1016/j.agrformet.2023.109602
2586. TRAPPIST Habitable Atmosphere Intercomparison (THAI) Workshop Report T. Fauchez et al. https://doi.org/10.3847/PSJ/abf4df
2587. Climate of Syria Based on Cordex Simulations: Present and Future N. Naaouf & C. Torma https://doi.org/10.1007/s41748-023-00351-3
2588. 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
2589. 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
2590. 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
2591. 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
2592. 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
2593. 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
2594. 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
2595. 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
2596. 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
2597. 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
2598. Climate feedback from plant physiological responses to increasing atmospheric CO2 in Earth system models Y. Li https://doi.org/10.1111/nph.20184
2599. 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
2600. 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
2601. A more quiescent deep ocean under global warming S. Wang et al. https://doi.org/10.1038/s41558-024-02075-2
2602. Carbon Cycle Response to Temperature Overshoot Beyond 2°C: An Analysis of CMIP6 Models I. Melnikova et al. https://doi.org/10.1029/2020EF001967
2603. Abrupt increase in Arctic-Subarctic wildfires caused by future permafrost thaw I. Kim et al. https://doi.org/10.1038/s41467-024-51471-x
2604. An artificial intelligence reconstruction of global gridded surface winds L. Zhou et al. https://doi.org/10.1016/j.scib.2022.09.022
2605. 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
2606. 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
2607. 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
2608. 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
2609. Performance of CMIP6 HighResMIP Simulations on West African Drought F. Ajibola et al. https://doi.org/10.3389/feart.2022.925358
2610. 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
2611. Future emergence of new ecosystems caused by glacial retreat J. Bosson et al. https://doi.org/10.1038/s41586-023-06302-2
2612. Will the ‘evapotranspiration paradox’ phenomenon exist across China in the future? Z. Li et al. https://doi.org/10.1002/joc.8256
2613. Assessment and Constraint of Mesozooplankton in CMIP6 Earth System Models C. Petrik et al. https://doi.org/10.1029/2022GB007367
2614. 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
2615. Future strengthening of the Nordic Seas overturning circulation M. Årthun et al. https://doi.org/10.1038/s41467-023-37846-6
2616. 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
2617. 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
2618. 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
2619. Projection of Rainfed Rice Yield Using CMIP6 in the Lower Lancang–Mekong River Basin S. Xie et al. https://doi.org/10.3390/agronomy13061504
2620. 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
2621. 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
2622. 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
2623. 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
2624. 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
2625. Evaluation of Precipitation Simulated by the Atmospheric Global Model MRI-AGCM3.2 S. KUSUNOKI et al. https://doi.org/10.2151/jmsj.2024-013
2626. CMIP6 model evaluation for sea surface height responses to ENSO D. Sardana et al. https://doi.org/10.1007/s00382-023-06997-z
2627. 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
2628. An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
2629. 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
2630. 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
2631. 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
2632. 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
2633. 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
2634. 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
2635. 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
2636. 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
2637. 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
2638. Constraining the entire Earth system projections for more reliable climate change adaptation planning C. Li et al. https://doi.org/10.1126/sciadv.adr5346
2639. Climate-driven global cropland changes and consequent feedbacks N. You et al. https://doi.org/10.1038/s41561-025-01724-1
2640. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. https://doi.org/10.3389/feart.2021.710036
2641. Earth System Models Are Not Capturing Present‐Day Tropical Forest Carbon Dynamics A. Koch et al. https://doi.org/10.1029/2020EF001874
2642. 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
2643. 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
2644. 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
2645. 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
2646. 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
2647. 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
2648. 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
2649. 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
2650. Explicitly Resolved Cloud Feedbacks in the Radiative‐Convective Equilibrium Model Intercomparison Project C. Stauffer & A. Wing https://doi.org/10.1029/2023MS003738
2651. Identifying energy model fingerprints in mitigation scenarios M. Dekker et al. https://doi.org/10.1038/s41560-023-01399-1
2652. 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
2653. 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
2654. 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
2655. Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise I. Sepúlveda et al. https://doi.org/10.1029/2022EF002965
2656. Ensemble random forest for tropical cyclone tracking P. Vaittinada Ayar et al. https://doi.org/10.5194/nhess-25-4655-2025
2657. 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
2658. 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
2659. 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
2660. 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
2661. 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
2662. The Spatiotemporal Heterogeneity of Vegetation–Soil Moisture Coupling in China Y. Ma et al. https://doi.org/10.34133/ehs.0485
2663. 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
2664. Enhancing global CMIP6 model temperature predictions using deep learning neural networks S. Velivelli et al. https://doi.org/10.1007/s11069-025-07491-x
2665. 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
2666. 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
2667. 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
2668. 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
2669. 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
2670. Potential geographic displacement of Chagas disease vectors under climate change L. Brasil et al. https://doi.org/10.1111/mve.12810
2671. 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
2672. 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
2673. 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
2674. 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
2675. 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
2676. 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
2677. 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
2678. Rising global hail damage potential in a warming world S. Zhang et al. https://doi.org/10.1038/s41586-026-10543-2
2679. 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
2680. A study of ENSO magnitude and lifespan in CMIP6 models S. Ou et al. https://doi.org/10.1007/s13131-025-2508-y
2681. 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
2682. 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
2683. 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
2684. 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
2685. Paleodust Insights into Dust Impacts on Climate S. Albani & N. Mahowald https://doi.org/10.1175/JCLI-D-18-0742.1
2686. 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
2687. 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
2688. Fewer, but More Intense, Future Tropical Storms Over the Ganges and Mekong Basins H. Ali et al. https://doi.org/10.1029/2023GL104973
2689. Large increases in methane emissions expected from North America’s largest wetland complex S. Bansal et al. https://doi.org/10.1126/sciadv.ade1112
2690. Evolution of offshore wind resources in Northern Europe under climate change A. Martinez et al. https://doi.org/10.1016/j.energy.2023.126655
2691. Mechanisms linking multi-year La Niña with preceding strong El Niño T. Iwakiri & M. Watanabe https://doi.org/10.1038/s41598-021-96056-6
2692. Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1 K. Balaguru et al. https://doi.org/10.1029/2019MS002024
2693. 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
2694. 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
2695. Unveiling shifts in Eurasian annual temperature cycles under anthropogenic warming Y. Yan https://doi.org/10.1038/s41598-025-30316-7
2696. Multiproxy analyses of multiple shallow firn cores from coastal Adélie Land T. Tcheng et al. https://doi.org/10.5194/tc-20-1599-2026
2697. 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
2698. 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
2699. 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
2700. 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
2701. Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2017JD027006
2702. 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
2703. 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
2704. 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
2705. 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
2706. 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
2707. Anthropogenic intensification of Arctic anticyclonic circulation Z. Liu et al. https://doi.org/10.1126/sciadv.ads4508
2708. Underestimated MJO Variability in CMIP6 Models P. Le et al. https://doi.org/10.1029/2020GL092244
2709. 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
2710. 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
2711. 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
2712. 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
2713. 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
2714. Optimizing Soil Moisture Station Networks for Future Climates V. Bessenbacher et al. https://doi.org/10.1029/2022GL101667
2715. Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios A. Soni et al. https://doi.org/10.3390/atmos14040725
2716. 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
2717. Spatiotemporal Distribution Shifts of Zelkova schneideriana Under Climate Change: A Biomod2-Driven Modeling Framework M. Li et al. https://doi.org/10.3390/biology14091221
2718. 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
2719. 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
2720. 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
2721. 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
2722. 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
2723. 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
2724. KrigR—a tool for downloading and statistically downscaling climate reanalysis data E. Kusch & R. Davy https://doi.org/10.1088/1748-9326/ac48b3
2725. 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
2726. 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
2727. 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
2728. 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
2729. 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
2730. 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
2731. 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
2732. 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
2733. 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
2734. 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
2735. 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
2736. 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
2737. The Impact of Climate Change on Construction Activity Performance S. Oruc et al. https://doi.org/10.3390/buildings14020372
2738. Multi-criteria evaluation of CMIP6 precipitation and temperature simulations over Iran O. Zabihi & A. Ahmadi https://doi.org/10.1016/j.ejrh.2024.101707
2739. Exceptional stratospheric contribution to human fingerprints on atmospheric temperature B. Santer et al. https://doi.org/10.1073/pnas.2300758120
2740. 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
2741. Quantifying the role of variability in future intensification of heat extremes C. Simolo & S. Corti https://doi.org/10.1038/s41467-022-35571-0
2742. 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
2743. 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
2744. 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
2745. 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
2746. Requirements for a global data infrastructure in support of CMIP6 V. Balaji et al. https://doi.org/10.5194/gmd-11-3659-2018
2747. 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
2748. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. https://doi.org/10.5194/tc-15-4281-2021
2749. 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
2750. 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
2751. 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
2752. 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
2753. 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
2754. 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
2755. Historical total ozone radiative forcing derived from CMIP6 simulations R. Skeie et al. https://doi.org/10.1038/s41612-020-00131-0
2756. 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
2757. 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
2758. 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
2759. 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
2760. 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
2761. 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
2762. 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
2763. 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
2764. 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
2765. 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
2766. 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
2767. 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
2768. Uncertain response of ocean biological carbon export in a changing world S. Henson et al. https://doi.org/10.1038/s41561-022-00927-0
2769. 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
2770. Future projections of atmospheric icing in Norway E. Iversen et al. https://doi.org/10.1016/j.coldregions.2023.103836
2771. Climate Change Threatens Barringtonia racemosa: Conservation Insights from a MaxEnt Model Y. Tan et al. https://doi.org/10.3390/d16070429
2772. 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
2773. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. https://doi.org/10.3390/geographies2010003
2774. 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
2775. CMIP6 skill at predicting interannual to multi-decadal summer monsoon precipitation variability P. Monerie et al. https://doi.org/10.1088/1748-9326/acea96
2776. 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
2777. 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
2778. 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
2779. 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
2780. 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
2781. 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
2782. Multi‐season climate projections forecast declines in migratory monarch butterflies E. Zylstra et al. https://doi.org/10.1111/gcb.16349
2783. Spatio-temporal compounding of connected extreme events: Projection and hotspot identification M. Velpuri et al. https://doi.org/10.1016/j.envres.2023.116615
2784. 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
2785. 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
2786. 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
2787. 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
2788. 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
2789. 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
2790. 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
2791. Climate and Land Use Changes Impact the Future of European Amphibian Functional Diversity K. Proios et al. https://doi.org/10.3390/land13081206
2792. 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
2793. 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
2794. 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
2795. 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
2796. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. https://doi.org/10.3390/w13111573
2797. 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
2798. 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
2799. European summer precipitation B. Steensen et al. https://doi.org/10.5194/acp-26-2041-2026
2800. 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
2801. 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
2802. 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
2803. 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
2804. Persistent Model Biases in the CMIP6 Representation of Stratospheric Polar Vortex Variability R. Hall et al. https://doi.org/10.1029/2021JD034759
2805. The Effect of Global Warming on Future Water Availability: CMIP5 Synthesis C. Ferguson et al. https://doi.org/10.1029/2018WR022792
2806. Drivers and Management of Nutrient Overload in Dams: Insights from Roodeplaat Dam, South Africa S. Mnyango et al. https://doi.org/10.3390/hydrology12030057
2807. 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
2808. 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
2809. 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
2810. 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
2811. 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
2812. Emergent temperature sensitivity of soil organic carbon driven by mineral associations K. Georgiou et al. https://doi.org/10.1038/s41561-024-01384-7
2813. 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
2814. 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
2815. 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
2816. 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
2817. 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
2818. 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
2819. 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
2820. Benefit Analysis of Geological Carbon Dioxide Sequestration Based on Social Benefit A. Miyagi et al. https://doi.org/10.2139/ssrn.5027063
2821. 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
2822. 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
2823. 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
2824. Enhanced risk of hot extremes revealed by observation-constrained model projections C. Simolo & S. Corti https://doi.org/10.1038/s43247-025-02133-3
2825. Decline in The Potential Distribution of Fern Species Under Climate Change Scenarios D. Silva et al. https://doi.org/10.24857/rgsa.v18n7-029
2826. 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
2827. Extreme temperatures detection and attribution related to external forcing in Madagascar L. Randriamarolaza et al. https://doi.org/10.1002/joc.8065
2828. 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
2829. Bayesian weighting of climate models based on climate sensitivity E. Massoud et al. https://doi.org/10.1038/s43247-023-01009-8
2830. 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
2831. Incorporating Weather Attribution to Future Water Budget Projections N. Martin https://doi.org/10.3390/hydrology10120219
2832. 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
2833. Forecasting Habitat Shifts in Euro-Mediterranean Orchids Protected Under Directive 92/43/EEC G. Ferreiro-Lera et al. https://doi.org/10.3390/d18050287
2834. 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
2835. 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
2836. 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
2837. 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
2838. 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
2839. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. https://doi.org/10.1029/2021JD035483
2840. 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
2841. 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
2842. Extreme weather and cascading photovoltaic power vulnerabilities under climate change P. Adigun et al. https://doi.org/10.1016/j.seta.2025.104776
2843. 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
2844. 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
2845. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. https://doi.org/10.1029/2022MS003588
2846. 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
2847. Predicting the contribution of climate change on North Atlantic underwater sound propagation L. Possenti et al. https://doi.org/10.7717/peerj.16208
2848. 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
2849. Constraining human contributions to observed warming since the pre-industrial period N. Gillett et al. https://doi.org/10.1038/s41558-020-00965-9
2850. 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
2851. 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
2852. 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
2853. 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
2854. North Atlantic subpolar gyre provides downstream ocean predictability H. Fan et al. https://doi.org/10.1038/s41612-023-00469-1
2855. 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
2856. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. https://doi.org/10.1029/2021MS002814
2857. Long-term Macroeconomic Effects of Shifting Temperature Anomaly Distributions D. Winter & M. Kiehl https://doi.org/10.2139/ssrn.4553820
2858. 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
2859. Antarctic sub-shelf melt rates via PICO R. Reese et al. https://doi.org/10.5194/tc-12-1969-2018
2860. 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
2861. 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
2862. 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
2863. 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
2864. Improved Decadal Predictions of North Atlantic Subpolar Gyre SST in CMIP6 L. Borchert et al. https://doi.org/10.1029/2020GL091307
2865. 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
2866. Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling C. Sharma et al. https://doi.org/10.1016/j.gsf.2026.102336
2867. 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
2868. 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
2869. 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
2870. 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
2871. 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
2872. Projecting climate-driven shifts in demersal fish thermal habitat in Iceland's waters J. Mason et al. https://doi.org/10.1093/icesjms/fsab230
2873. 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
2874. 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
2875. 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
2876. 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
2877. 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
2878. 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
2879. 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
2880. 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
2881. 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
2882. 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
2883. Specification and Verification for Climate Modeling: Formalization Leading to Impactful Tooling A. Altuntas et al. https://doi.org/10.4204/EPTCS.432.8
2884. 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
2885. 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
2886. Influence of the North Pacific Victoria Mode on the Spring Persistence Barrier of ENSO L. Shi et al. https://doi.org/10.1029/2021JD036206
2887. Evaluation of CMIP6 models in simulating seasonal extreme precipitation over Ethiopia D. Berhanu et al. https://doi.org/10.1016/j.wace.2025.100752
2888. 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
2889. 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
2890. 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
2891. 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
2892. 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
2893. 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
2894. Anthropogenic–biogenic interaction amplifies warming from emission reduction over the southeastern US Y. Liu et al. https://doi.org/10.1088/1748-9326/ac3285
2895. Weather and climate extremes in a changing Arctic X. Zhang et al. https://doi.org/10.1038/s43017-025-00724-4
2896. 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
2897. 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
2898. 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
2899. 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
2900. 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
2901. 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
2902. Planetary health as a laboratory for enhanced evidence synthesis J. Minx et al. https://doi.org/10.1016/S2542-5196(19)30216-5
2903. 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
2904. Influences of Antarctic Ozone Depletion on Southern Ocean Aerosols Y. Bhatti et al. https://doi.org/10.1029/2022JD037199
2905. 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
2906. Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs V. Gupta et al. https://doi.org/10.1016/j.jhydrol.2020.125422
2907. 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
2908. Geographical bias in physiological data limits predictions of global change impacts C. White et al. https://doi.org/10.1111/1365-2435.13807
2909. 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
2910. 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
2911. 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
2912. 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
2913. 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
2914. Global potential distributions and conservation status of rice wild relatives Y. Lin et al. https://doi.org/10.1002/ppp3.10522
2915. 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
2916. 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
2917. 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
2918. 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
2919. Analog data assimilation for the selection of suitable general circulation models J. Ruiz et al. https://doi.org/10.5194/gmd-15-7203-2022
2920. 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
2921. Model Uncertainty in the Projected Indian Summer Monsoon Precipitation Change under Low-Emission Scenarios S. Long & G. Li https://doi.org/10.3390/atmos12020248
2922. 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
2923. Identifying assets exposed to physical climate risk: A decision-support methodology J. Bertrand et al. https://doi.org/10.1016/j.ijpe.2024.109355
2924. Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity T. Myers et al. https://doi.org/10.1038/s41558-021-01039-0
2925. Non-stationary low flow frequency analysis under climate change M. Yılmaz & F. Tosunoğlu https://doi.org/10.1007/s00704-024-05081-8
2926. 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
2927. 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
2928. 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
2929. 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
2930. Antarctic ice-shelf basal melt shaped by competing feedbacks M. Youngs et al. https://doi.org/10.1038/s41561-026-01975-6
2931. 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
2932. Historical Trend and Future Projection of Extreme Seasonal Precipitation over Ethiopia, East Africa D. Berhanu et al. https://doi.org/10.3390/cli14040088
2933. Exploratory Precipitation Metrics: Spatiotemporal Characteristics, Process-Oriented, and Phenomena-Based L. Leung et al. https://doi.org/10.1175/JCLI-D-21-0590.1
2934. 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
2935. 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
2936. Implementation of Groundwater Lateral Flow and Human Water Regulation in CAS‐FGOALS‐g3 L. Wang et al. https://doi.org/10.1029/2019JD032289
2937. Marginal ice zone fraction benchmarks sea ice and climate model skill C. Horvat https://doi.org/10.1038/s41467-021-22004-7
2938. Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. https://doi.org/10.1029/2023GL103381
2939. 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
2940. 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
2941. 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
2942. Investigating future Komodo dragon habitat alteration in the human-dominated landscape A. Yudistira et al. https://doi.org/10.5141/jee.25.064
2943. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
2944. Improvements and persistent biases in the southeast tropical Atlantic in CMIP models R. Farneti et al. https://doi.org/10.1038/s41612-022-00264-4
2945. 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
2946. 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
2947. Weakening of subsurface ocean temperature seasonality over the past four decades F. Liu et al. https://doi.org/10.1038/s43247-024-01986-4
2948. 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
2949. 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
2950. The impact of ice structures and ocean warming in Milne Fiord J. Bonneau et al. https://doi.org/10.5194/tc-19-2615-2025
2951. Theory and the future of land-climate science M. Byrne et al. https://doi.org/10.1038/s41561-024-01553-8
2952. 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
2953. 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
2954. 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
2955. 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
2956. 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
2957. The biological carbon pump in CMIP6 models: 21st century trends and uncertainties J. Wilson et al. https://doi.org/10.1073/pnas.2204369119
2958. On the foundations of Earth foundation models X. Zhu et al. https://doi.org/10.1038/s43247-025-03127-x
2959. 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
2960. Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally N. Ma et al. https://doi.org/10.1029/2021WR029691
2961. 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
2962. 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
2963. 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
2964. 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
2965. 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
2966. Frequent but Predictable Droughts in East Africa Driven by a Walker Circulation Intensification C. Funk et al. https://doi.org/10.1029/2022EF003454
2967. 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
2968. 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
2969. 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
2970. Canadian snow and sea ice: historical trends and projections L. Mudryk et al. https://doi.org/10.5194/tc-12-1157-2018
2971. El Niño/Southern Oscillation inhibited by submesoscale ocean eddies S. Wang et al. https://doi.org/10.1038/s41561-021-00890-2
2972. 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
2973. 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
2974. 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
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3138. Estimation of the Invasive Potential of Boreal Crustaceans in the Barents Sea in Conditions of Climate Changes S. Bakanev https://doi.org/10.1134/S2079086425700264
3139. Evaluating simulated climate patterns from the CMIP archives using satellite and reanalysis datasets using the Climate Model Assessment Tool (CMATv1) J. Fasullo https://doi.org/10.5194/gmd-13-3627-2020
3140. Global/Regional Impacts on Present and Near-Future Climate Regimes in the Metropolitan Region of Belém, Eastern Amazon C. Gutierrez et al. https://doi.org/10.3390/atmos13071077
3141. Modelling the building-related photovoltaic power production potential in the light of the EU's Solar Rooftop Initiative G. Molnár et al. https://doi.org/10.1016/j.apenergy.2024.122708
3142. Climate change increases the suitable area and suitability degree of rubber tree powdery mildew in China R. Bai et al. https://doi.org/10.1016/j.indcrop.2022.115888
3143. The increasing influence of atmospheric moisture transport on hydrometeorological extremes in the Euromediterranean region with global warming L. Gimeno-Sotelo et al. https://doi.org/10.1038/s43247-024-01787-9
3144. Future projections of extreme precipitation in Tropical America and Panama under global warming based on 150‐year continuous simulations using 20‐km and 60‐km atmospheric general circulation models T. Nakaegawa & R. Mizuta https://doi.org/10.1002/joc.8261
3145. Arctic Warming Revealed by Multiple CMIP6 Models: Evaluation of Historical Simulations and Quantification of Future Projection Uncertainties Z. Cai et al. https://doi.org/10.1175/JCLI-D-20-0791.1
3146. Modeling climate change impacts and predicting future vulnerability in the Mount Kenya forest ecosystem using remote sensing and machine learning T. Otieno et al. https://doi.org/10.1007/s10661-025-14089-0
3147. 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
3148. Projections of Hydroclimatic Extremes in Southeast Alaska under the RCP8.5 Scenario R. Lader et al. https://doi.org/10.1175/EI-D-21-0023.1
3149. The pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models M. Rogers et al. https://doi.org/10.1007/s00382-021-06114-y
3150. Drastic increase in the magnitude of very rare summer-mean vapor pressure deficit extremes M. Hermann et al. https://doi.org/10.1038/s41467-024-51305-w
3151. UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. https://doi.org/10.5194/gmd-16-1569-2023
3152. Assessment of CMIP6 global climate models in reconstructing rainfall climatology of Bangladesh M. Kamruzzaman et al. https://doi.org/10.1002/joc.7452
3153. Enhanced atmospheric oxidation toward carbon neutrality reduces methane’s climate forcing M. Liu et al. https://doi.org/10.1038/s41467-024-47436-9
3154. Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6 J. Zeng et al. https://doi.org/10.1016/j.aosl.2021.100143
3155. Soil carbon sequestration, climate change mitigation, nitrogen pollution and agro-food supply: navigating trade-offs in future cropland management strategies Q. Wang et al. https://doi.org/10.1088/1748-9326/adbc04
3156. Evidence of climate and economic drivers affecting migration in an unequal and warming world X. Yang et al. https://doi.org/10.1038/s43247-025-02811-2
3157. Assessment of the Reproducibility of Oceanographic Fields in Retrospective Forecasts Using the INM-CM5 Earth System Model Y. Resnyanskii et al. https://doi.org/10.3103/S1068373924030014
3158. Dynamics of Southern Hemisphere Atmospheric Circulation Response to Anthropogenic Aerosol Forcing H. Wang et al. https://doi.org/10.1029/2020GL089919
3159. More concentrated precipitation decreases terrestrial water storage C. Lesk & J. Mankin https://doi.org/10.1038/s41586-026-10487-7
3160. Model‐Dependent Atlantic Multidecadal Variability Modulations on North Pacific Sea Surface Temperature Variability and Decadal Prediction Z. Lv et al. https://doi.org/10.1029/2023GL104278
3161. Biogeophysical and biogeochemical impacts of land-use change simulated by MIROC-ES2L A. Ito & T. Hajima https://doi.org/10.1186/s40645-020-00372-w
3162. Asymmetric hysteresis response of mid-latitude storm tracks to CO2 removal J. Hwang et al. https://doi.org/10.1038/s41558-024-01971-x
3163. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. https://doi.org/10.5194/gmd-17-4821-2024
3164. International Data Node System for CMIP6 Climate Change Projections J. Lee et al. https://doi.org/10.15531/KSCCR.2020.11.4.247
3165. Northward Propagation of the Intertropical Convergence Zone and Strengthening of Indian Summer Monsoon Rainfall V. Hari et al. https://doi.org/10.1029/2020GL089823
3166. Climate-Driven Prediction of the Future Distribution of Phytolacca americana L. Using a BIOMOD2 Ensemble Modelling Framework Y. Wang et al. https://doi.org/10.3390/plants15111747
3167. Projected runoff declines from plant physiological effects on precipitation C. Lesk et al. https://doi.org/10.1038/s44221-024-00361-z
3168. Observed and projected climate extremes in northwest highlands of Ethiopia and their implications in potato-based farming systems A. Ayalew et al. https://doi.org/10.1038/s41598-026-47373-1
3169. Stringent mitigation substantially reduces risk of unprecedented near-term warming rates C. McKenna et al. https://doi.org/10.1038/s41558-020-00957-9
3170. Potential Geographic Distribution of the Rare and Endangered Plant Sauvagesia rhodoleuca in China Under Climate Change Scenarios J. Wei et al. https://doi.org/10.1002/ece3.73295
3171. Emergence of the Central Atlantic Niño L. Zhang et al. https://doi.org/10.1126/sciadv.adi5507
3172. Changes in land surface air temperature annual cycle amplitude over the last millennium Y. Wang et al. https://doi.org/10.1007/s11442-026-2436-6
3173. Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 V. Mishra et al. https://doi.org/10.1038/s41597-020-00681-1
3174. Evaluation of CMIP6 models in simulating precipitation during the rainy season over Indochina Peninsula: Ensemble differences and potential causes W. Yu et al. https://doi.org/10.1016/j.atmosres.2026.108922
3175. Evaluation and future projection of compound extreme events in China using CMIP6 models Y. Liu et al. https://doi.org/10.1007/s10584-024-03856-6
3176. ReNovRisk: a multidisciplinary programme to study the cyclonic risks in the South-West Indian Ocean P. Tulet et al. https://doi.org/10.1007/s11069-021-04624-w
3177. Correlations Between Sea‐Level Components Are Driven by Regional Climate Change E. Lambert et al. https://doi.org/10.1029/2020EF001825
3178. Lake Surface Temperature Predictions under Different Climate Scenarios with Machine Learning Methods: A Case Study of Qinghai Lake and Hulun Lake, China Z. Li et al. https://doi.org/10.3390/rs16173220
3179. Ocean warming threatens the viability of 60% of Antarctic ice shelves C. Burgard et al. https://doi.org/10.1038/s41586-025-09657-w
3180. Global and regional impacts differ between transient and equilibrium warmer worlds A. King et al. https://doi.org/10.1038/s41558-019-0658-7
3181. Modes of Atmospheric Energetics Based on HadGEM3-GC3.1-LL Simulations in the Framework of CMIP6 S. Michaelides & P. Salvador https://doi.org/10.1155/2023/3956086
3182. Assessment of model performance of precipitation extremes over the mid-high latitude areas of Northern Hemisphere: from CMIP5 to CMIP6 W. LIN & H. CHEN https://doi.org/10.1080/16742834.2020.1820303
3183. The implications of maintaining Earth's hemispheric albedo symmetry for shortwave radiative feedbacks A. Jönsson & F. Bender https://doi.org/10.5194/esd-14-345-2023
3184. Similarities and Differences in Arctic Sea‐Ice Loss During the Solar‐Forced Last Interglacial Warming (127 Kyr BP) and CO2‐Forced Future Warming M. Sicard et al. https://doi.org/10.1029/2023GL104782
3185. Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin K. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.171630
3186. Projected rapid response of stratospheric temperature to stringent climate mitigation G. Romanzini-Bezerra & A. Maycock https://doi.org/10.1038/s41467-024-50648-8
3187. Teleconnection Processes Linking the Intensity of the Atlantic Multidecadal Variability to the Climate Impacts over Europe in Boreal Winter S. Qasmi et al. https://doi.org/10.1175/JCLI-D-19-0428.1
3188. Exploring ozone–climate interactions in idealized CMIP6 DECK experiments J. Wang et al. https://doi.org/10.5194/acp-25-17819-2025
3189. Delivering probabilistic climate hazards assessments D. Huard et al. https://doi.org/10.1088/2515-7620/ae3a4d
3190. 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
3191. 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
3192. 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
3193. 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
3194. 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
3195. 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
3196. 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
3197. Dynamical landscape and multistability of a climate model G. Margazoglou et al. https://doi.org/10.1098/rspa.2021.0019
3198. Overcoming the disconnect between energy system and climate modeling M. Craig et al. https://doi.org/10.1016/j.joule.2022.05.010
3199. Volcanic eruptions disrupt ENSO teleconnections with land summer temperature X. Zhang et al. https://doi.org/10.1038/s41467-025-64879-w
3200. 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
3201. 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
3202. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber https://doi.org/10.1029/2022GL099463
3203. 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
3204. Twenty first century changes in Antarctic and Southern Ocean surface climate in CMIP6 T. Bracegirdle et al. https://doi.org/10.1002/asl.984
3205. 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
3206. 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
3207. Climate change projection using statistical downscaling model over southern coastal Iran S. Esfandeh et al. https://doi.org/10.1016/j.heliyon.2024.e29416
3208. 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
3209. 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
3210. Changing ocean seasonal cycle escalates destructive marine heatwaves in a warming climate S. Wang et al. https://doi.org/10.1088/1748-9326/ac6685
3211. Climate-adaptive stochastic framework for annual maximum wind speed prediction J. Zou et al. https://doi.org/10.1016/j.jweia.2026.106483
3212. Emergent constraints on carbon budgets as a function of global warming P. Cox et al. https://doi.org/10.1038/s41467-024-46137-7
3213. 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
3214. 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
3215. 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
3216. Comparing storm resolving models and climates via unsupervised machine learning G. Mooers et al. https://doi.org/10.1038/s41598-023-49455-w
3217. 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
3218. Sources of MJO teleconnection errors in the ECMWF extended‐range forecasts F. Vitart & M. Balmaseda https://doi.org/10.1002/qj.4688
3219. 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
3220. 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
3221. 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
3222. 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
3223. 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
3224. 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
3225. 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
3226. 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
3227. Climate sensitivity controls global precipitation hysteresis in a changing CO2 pathway S. Song et al. https://doi.org/10.1038/s41612-023-00484-2
3228. 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
3229. 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
3230. 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
3231. Equilibrium line altitudes, accumulation areas and the vulnerability of glaciers in Alaska L. Zeller et al. https://doi.org/10.1017/jog.2024.65
3232. Partial-convolution-implemented generative adversarial network for global oceanic data assimilation Y. Ham et al. https://doi.org/10.1038/s42256-024-00867-x
3233. 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
3234. 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
3235. 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
3236. 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
3237. 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
3238. Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. https://doi.org/10.1029/2019MS002009
3239. Selecting and weighting dynamical models using data-driven approaches P. Le Bras et al. https://doi.org/10.5194/npg-31-303-2024
3240. 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
3241. 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
3242. Projected increase in the frequency of extremely active Atlantic hurricane seasons H. Lopez et al. https://doi.org/10.1126/sciadv.adq7856
3243. 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
3244. 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
3245. 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
3246. 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
3247. 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
3248. 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
3249. 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
3250. 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
3251. 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
3252. 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
3253. Diverging hydrological sensitivity among tropical basins J. He et al. https://doi.org/10.1038/s41558-024-01982-8
3254. 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
3255. 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
3256. 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
3257. 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
3258. 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
3259. Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective J. Hinkel et al. https://doi.org/10.1029/2018EF001071
3260. 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
3261. State of the UK Climate 2023 M. Kendon et al. https://doi.org/10.1002/joc.8553
3262. 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
3263. Tropical instability waves in a high-resolution oceanic and coupled GCM T. Li et al. https://doi.org/10.1016/j.ocemod.2023.102169
3264. 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
3265. 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
3266. Climate-driven changes in the predictability of seasonal precipitation P. Le et al. https://doi.org/10.1038/s41467-023-39463-9
3267. 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
3268. An imminent return to drought in the western Sahel? D. Wane et al. https://doi.org/10.1126/sciadv.adu5415
3269. 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
3270. 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
3271. 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
3272. 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
3273. 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
3274. 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
3275. 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
3276. Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. https://doi.org/10.5194/esd-13-251-2022
3277. Scientific data from precipitation driver response model intercomparison project G. Myhre et al. https://doi.org/10.1038/s41597-022-01194-9
3278. 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
3279. Future Climate Change Hotspots Under Different 21st Century Warming Scenarios X. Fan et al. https://doi.org/10.1029/2021EF002027
3280. 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
3281. 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
3282. 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
3283. 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
3284. 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
3285. 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
3286. 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
3287. 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
3288. 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
3289. Future changes in seasonal sea-level variability could reshape coastal ecosystems T. Hermans et al. https://doi.org/10.1038/s41558-026-02631-y
3290. Climate tipping point interactions and cascades: a review N. Wunderling et al. https://doi.org/10.5194/esd-15-41-2024
3291. 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
3292. 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
3293. 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
3294. 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
3295. 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
3296. Narrowed uncertainty in future global temperature and remaining carbon budget I. Melnikova et al. https://doi.org/10.1016/j.oneear.2025.101526
3297. 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
3298. 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
3299. 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
3300. Inequality of Global Thermal Comfort Conditions Changes in a Warmer World J. Zhang et al. https://doi.org/10.1029/2022EF003109
3301. 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
3302. Anthropogenic climate change worsened recent declines in freshwater availability in India S. Tiwary & A. Mondal https://doi.org/10.1088/1748-9326/ae1624
3303. Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates Y. Pan et al. https://doi.org/10.3390/rs17081362
3304. 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
3305. 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
3306. 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
3307. 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
3308. Persistent Model Biases in the Spatial Variability of Winter North Atlantic Atmospheric Circulation Q. Tao et al. https://doi.org/10.1029/2023GL105231
3309. 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
3310. 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
3311. 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
3312. 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
3313. 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
3314. Regions of Climatic Stability for Neotropical Primates T. Marques et al. https://doi.org/10.1111/mam.70025
3315. Estimating the Effects of Climate Fluctuations on Precipitation and Temperature in East Africa E. Dufatanye Umwali et al. https://doi.org/10.3390/atmos15121455
3316. 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
3317. 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
3318. Future water stress in arid landscapes projected with GeoAI M. Rahman et al. https://doi.org/10.1007/s00704-025-05976-0
3319. 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
3320. 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
3321. 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
3322. Projection of extreme temperature events in megacity Beijing C. Meng et al. https://doi.org/10.1016/j.uclim.2025.102676
3323. Plant responses to changing rainfall frequency and intensity A. Feldman et al. https://doi.org/10.1038/s43017-024-00534-0
3324. 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
3325. 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
3326. 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
3327. 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
3328. Global Teleconnections of Extreme Rainfall Events in the Yellow River Basin L. Cai et al. https://doi.org/10.1007/s00376-025-5117-y
3329. 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
3330. 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
3331. 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
3332. 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
3333. 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
3334. 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
3335. Why is summertime Arctic sea ice drift speed projected to decrease? J. Ward & N. Tandon https://doi.org/10.5194/tc-18-995-2024
3336. Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling S. Razavi https://doi.org/10.1016/j.envsoft.2021.105159
3337. 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
3338. Assessment of CMIP6 models' skill for tropical Indian Ocean sea surface temperature variability S. Halder et al. https://doi.org/10.1002/joc.6975
3339. 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
3340. 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
3341. 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
3342. 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
3343. 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
3344. 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
3345. 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
3346. 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
3347. 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
3348. 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
3349. 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
3350. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo https://doi.org/10.1007/s41748-023-00370-0
3351. Econometric estimates of Earth’s transient climate sensitivity P. Phillips et al. https://doi.org/10.1016/j.jeconom.2019.05.002
3352. 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
3353. 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
3354. 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
3355. 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
3356. Montreal Protocol's impact on the ozone layer and climate T. Egorova et al. https://doi.org/10.5194/acp-23-5135-2023
3357. 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
3358. 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
3359. 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
3360. 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
3361. 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
3362. 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
3363. 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
3364. 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
3365. 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
3366. 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
3367. A planetary boundary for green water L. Wang-Erlandsson et al. https://doi.org/10.1038/s43017-022-00287-8
3368. 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
3369. 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
3370. 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
3371. 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
3372. 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
3373. 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
3374. 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
3375. 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
3376. Global future population exposure to heatwaves Y. Wang et al. https://doi.org/10.1016/j.envint.2023.108049
3377. 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
3378. 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
3379. 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
3380. Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature, and Humidity Feedbacks H. He et al. https://doi.org/10.1029/2020GL092309
3381. 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
3382. 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
3383. 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
3384. 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
3385. 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
3386. Elevation dependency of future degradation of permafrost over the Qinghai-Tibet Plateau G. Zhang et al. https://doi.org/10.1088/1748-9326/ace0d1
3387. A robust unsupervised method for outlier set detection A. Sarfraz et al. https://doi.org/10.1016/j.knosys.2025.114274
3388. 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
3389. CMIP6 GCM ensemble members versus global surface temperatures N. Scafetta https://doi.org/10.1007/s00382-022-06493-w
3390. 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
3391. 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
3392. Causal influences of El Niño–Southern Oscillation on global dust activities T. Le & D. Bae https://doi.org/10.5194/acp-22-5253-2022
3393. 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
3394. 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
3395. 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
3396. 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
3397. 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
3398. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster https://doi.org/10.1029/2021GL094948
3399. 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
3400. 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
3401. Contrasting Transition Complexity Between El Niño and La Niña: Observations and CMIP5/6 Models S. Fang & J. Yu https://doi.org/10.1029/2020GL088926
3402. 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
3403. Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer https://doi.org/10.1038/s41467-023-36794-5
3404. Seasonal and regional jet stream changes and drivers P. Breul et al. https://doi.org/10.1038/s43017-025-00749-9
3405. 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
3406. 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
3407. 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
3408. 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
3409. 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
3410. Efficient photovoltaic power prediction to achieve carbon neutrality in China J. Gao et al. https://doi.org/10.1016/j.enconman.2025.119653
3411. 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
3412. Research Advances in Projections of Regional Climate Change over China B. Zhou et al. https://doi.org/10.1007/s13351-025-4913-8
3413. 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
3414. 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
3415. Performance evaluation and ranking of CMIP6 global climate models over Vietnam T. Nguyen-Duy et al. https://doi.org/10.2166/wcc.2023.454
3416. 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
3417. Effects of systematic predictor selection for statistical downscaling of rainfall in Hawai'i K. Sanfilippo et al. https://doi.org/10.1002/joc.8345
3418. 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
3419. 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
3420. 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
3421. 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
3422. 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
3423. Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. https://doi.org/10.5194/gmd-13-1179-2020
3424. 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
3425. 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
3426. 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
3427. 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
3428. 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
3429. Irreversible loss in marine ecosystem habitability after a temperature overshoot Y. Santana-Falcón et al. https://doi.org/10.1038/s43247-023-01002-1
3430. 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
3431. Skillful decadal prediction of unforced southern European summer temperature variations L. Borchert et al. https://doi.org/10.1088/1748-9326/ac20f5
3432. 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
3433. 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
3434. 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
3435. Unusually weak signal of summer surface air temperature change over North China F. Cheng et al. https://doi.org/10.1002/joc.8413
3436. Weather Index Insurance Can Offset Heat‐Induced Rice Losses Under Global Warming J. Zhang et al. https://doi.org/10.1029/2021EF002534
3437. Projected changes in early summer ridging and drought over the Central Plains B. Cook et al. https://doi.org/10.1088/1748-9326/ac8e1a
3438. 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
3439. 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
3440. 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
3441. 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
3442. Evolution of Drought Trends under Climate Change Scenarios in Karst Basin C. Mo et al. https://doi.org/10.3390/w15101934
3443. 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
3444. QBO Phase Synchronization in CMIP6 Historical Simulations Attributed to Ozone Forcing N. Butchart et al. https://doi.org/10.1029/2023GL104401
3445. 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
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3449. Southern Ocean heat buffer constrained by present-day ENSO teleconnection G. Wang et al. https://doi.org/10.1038/s41612-024-00731-0
3450. Coordinating an operational data distribution network for CMIP6 data R. Petrie et al. https://doi.org/10.5194/gmd-14-629-2021
3451. 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
3452. 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
3453. 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
3454. Climate-driven warming, deoxygenation, and desertification in large marine ecosystems R. Venegas et al. https://doi.org/10.1016/j.jmarsys.2025.104053
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3456. The Impacts of Aerosol Emissions on Historical Climate in UKESM1 J. Seo et al. https://doi.org/10.3390/atmos11101095
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3459. 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
3460. 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
3461. 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
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3463. 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
3464. 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
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3466. 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
3467. Change in future climate due to Antarctic meltwater B. Bronselaer et al. https://doi.org/10.1038/s41586-018-0712-z
3468. 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
3469. 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
3470. 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
3471. 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
3472. 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
3473. 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
3474. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error A. Jones et al. https://doi.org/10.1002/2017GL075933
3475. 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
3476. 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
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3478. 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
3479. Escalating wildfire risks in Brazilian biomes under climate change scenarios G. Torsoni et al. https://doi.org/10.1007/s11069-026-08176-9
3480. 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
3481. 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
3482. The role of sea ice in present and future Arctic amplification E. Chung et al. https://doi.org/10.1038/s43247-025-02834-9
3483. 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
3484. 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
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3487. 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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3490. Modelling Distributions of Asian and African Rice Based on MaxEnt Y. Lin et al. https://doi.org/10.3390/su15032765
3491. 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
3492. 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
3493. Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks T. Mulder et al. https://doi.org/10.1029/2023MS003631
3494. 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
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3496. 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
3497. 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
3498. 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
3499. CMIP5 Scientific Gaps and Recommendations for CMIP6 R. Stouffer et al. https://doi.org/10.1175/BAMS-D-15-00013.1
3500. 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
3501. 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
3502. 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
3503. How climate models reproduce the observed increase in extreme precipitation over Europe B. Steensen et al. https://doi.org/10.1371/journal.pclm.0000442
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3505. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation V. Eyring et al. https://doi.org/10.1038/s41561-024-01527-w
3506. 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
3507. Land surface model underperformance tied to specific meteorological conditions J. Cranko Page et al. https://doi.org/10.5194/bg-23-263-2026
3508. 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
3509. Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations D. Watson-Parris et al. https://doi.org/10.5194/gmd-9-3093-2016
3510. 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
3511. 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
3512. Temperature extremes Projections over Bangladesh from CMIP6 Multi-model Ensemble M. Akter et al. https://doi.org/10.1007/s00704-024-05173-5
3513. 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
3514. 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
3515. 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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3517. DAMV: a symbiotic fingerprint of AMV unveiled from the deep Atlantic J. Yang et al. https://doi.org/10.1007/s00382-026-08134-y
3518. 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
3519. Indo-Pacific warm pool present warming attribution and future projection constraint W. Bai et al. https://doi.org/10.1088/1748-9326/ac5edf
3520. 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
3521. 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
3522. 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
3523. 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
3524. 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
3525. 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
3526. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. https://doi.org/10.1029/2020JD033483
3527. 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
3528. 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
3529. 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
3530. Evaluation of Long‐Term Temperature Trend and Variability in CMIP6 Multimodel Ensemble Y. Duan et al. https://doi.org/10.1029/2021GL093227
3531. 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
3532. 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
3533. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. https://doi.org/10.5194/gmd-11-5027-2018
3534. Storylines of Maritime Continent dry period precipitation changes under global warming R. Ghosh & T. Shepherd https://doi.org/10.1088/1748-9326/acb788
3535. 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
3536. 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
3537. 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
3538. 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
3539. 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
3540. 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
3541. Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6 S. Karmouche et al. https://doi.org/10.5194/esd-14-309-2023
3542. 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
3543. 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
3544. Past and future change in global river flows L. Gudmundsson et al. https://doi.org/10.1038/s43017-025-00745-z
3545. 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
3546. 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
3547. 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
3548. 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
3549. Characterizing Catchment‐Scale Nitrogen Legacies and Constraining Their Uncertainties F. Sarrazin et al. https://doi.org/10.1029/2021WR031587
3550. 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
3551. 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
3552. Alternate Histories: Synthetic Large Ensembles of Sea‐Air CO2 Flux H. Olivarez et al. https://doi.org/10.1029/2021GB007174
3553. The effect of surface sink saturation and emission altitude on hydrogen's atmospheric impact E. Gibney et al. https://doi.org/10.1039/D5EA00139K
3554. A strong constraint on radiative forcing of well-mixed greenhouse gases J. Feng et al. https://doi.org/10.1038/s41586-026-10289-x
3555. Lake Ice Will Be Less Safe for Recreation and Transportation Under Future Warming R. Woolway et al. https://doi.org/10.1029/2022EF002907
3556. 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
3557. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. https://doi.org/10.1002/joc.7566
3558. Granger causal inference for climate change attribution M. Risser et al. https://doi.org/10.1088/2752-5295/add046
3559. 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
3560. 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
3561. 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
3562. 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
3563. Modelling considerations for research on ocean alkalinity enhancement (OAE) K. Fennel et al. https://doi.org/10.5194/sp-2-oae2023-9-2023
3564. 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
3565. 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
3566. 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
3567. 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
3568. Land Surface Processes Create Patterns in Atmospheric Residence Time of Water O. Tuinenburg & R. van der Ent https://doi.org/10.1029/2018JD028871
3569. 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
3570. Seasonal to Decadal Predictions With MIROC6: Description and Basic Evaluation T. Kataoka et al. https://doi.org/10.1029/2019MS002035
3571. 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
3572. 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
3573. 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
3574. Integrated assessment model diagnostics: key indicators and model evolution M. Harmsen et al. https://doi.org/10.1088/1748-9326/abf964
3575. 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
3576. 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
3577. 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
3578. Effective resolution in high resolution global atmospheric models for climate studies R. Klaver et al. https://doi.org/10.1002/asl.952
3579. 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
3580. 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
3581. 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
3582. 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
3583. 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
3584. 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
3585. 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
3586. 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
3587. 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
3588. 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
3589. Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming H. Zhu et al. https://doi.org/10.1007/s13753-026-00702-4
3590. Influence of Ozone Forcing on 21st Century Southern Hemisphere Surface Westerlies in CMIP6 Models L. Revell et al. https://doi.org/10.1029/2022GL098252
3591. Continued Warming of the Permafrost Regions Over the Northern Hemisphere Under Future Climate Change G. Hu et al. https://doi.org/10.1029/2022EF002835
3592. Assessment of CMIP6 in simulating precipitation over arid Central Asia H. Guo et al. https://doi.org/10.1016/j.atmosres.2021.105451
3593. 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
3594. Sahel Rainfall Projections Constrained by Past Sensitivity to Global Warming J. Schewe & A. Levermann https://doi.org/10.1029/2022GL098286
3595. 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
3596. 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
3597. 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
3598. Projected ENSO Teleconnection Changes in CMIP6 S. McGregor et al. https://doi.org/10.1029/2021GL097511
3599. 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
3600. Probabilistic Evaluation of Drought in CMIP6 Simulations S. Papalexiou et al. https://doi.org/10.1029/2021EF002150
3601. 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
3602. 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
3603. 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
3604. 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
3605. 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
3606. 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
3607. The ocean losing its breath under the heatwaves C. Li et al. https://doi.org/10.1038/s41467-024-51323-8
3608. Interpolation of environmental data using deep learning and model inference C. Ibebuchi & I. Abu https://doi.org/10.1088/2632-2153/ad4b94
3609. 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
3610. 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
3611. 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
3612. 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
3613. 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
3614. 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
3615. 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
3616. 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
3617. 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
3618. 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
3619. Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling C. Kadow et al. https://doi.org/10.5334/jors.253
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3621. Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models X. Zou et al. https://doi.org/10.3390/atmos14101531
3622. Coherent Mechanistic Patterns of Tropical Land Hydroclimate Changes S. Duan et al. https://doi.org/10.1029/2022GL102285
3623. 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
3624. Evaluation of precipitation simulations in CMIP6 models over Uganda H. Ngoma et al. https://doi.org/10.1002/joc.7098
3625. 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
3626. 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
3627. 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
3628. Various ways of using empirical orthogonal functions for climate model evaluation R. Benestad et al. https://doi.org/10.5194/gmd-16-2899-2023
3629. 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
3630. 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
3631. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. https://doi.org/10.1029/2018MS001464
3632. Future changes in the wintertime ENSO-NAO teleconnection under greenhouse warming X. Geng et al. https://doi.org/10.1038/s41612-024-00627-z
3633. Attributing observed permafrost warming in the northern hemisphere to anthropogenic climate change L. Gudmundsson et al. https://doi.org/10.1088/1748-9326/ac8ec2
3634. 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
3635. Efeitos das mudanças climáticas na região norte de Minas Gerais D. Roberto Neres et al. https://doi.org/10.59824/rmrh.v6.329
3636. 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
3637. 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
3638. 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
3639. 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
3640. Future warming exacerbates heatwave-ozone compound extremes in China M. Cui et al. https://doi.org/10.1038/s41612-025-01218-2
3641. 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
3642. Overview of the Spectral Coherence between Planetary Resonances and Solar and Climate Oscillations N. Scafetta & A. Bianchini https://doi.org/10.3390/cli11040077
3643. 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
3644. The Gulf Stream and Kuroshio Current are synchronized T. Kohyama et al. https://doi.org/10.1126/science.abh3295
3645. 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
3646. Ice Algae Model Intercomparison Project phase 2 (IAMIP2) H. Hayashida et al. https://doi.org/10.5194/gmd-14-6847-2021
3647. Challenges in drought monitoring and assessment in India S. Aadhar & V. Mishra https://doi.org/10.1016/j.wasec.2022.100120
3648. 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
3649. A clustering-based approach to ocean model–data comparison around Antarctica Q. Sun et al. https://doi.org/10.5194/os-17-131-2021
3650. 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
3651. 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
3652. 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
3653. 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
3654. 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
3655. 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
3656. 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
3657. 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
3658. 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
3659. 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
3660. 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
3661. Afro-Asian climate response to future solar radiation management T. Adeliyi et al. https://doi.org/10.1016/j.scs.2025.106825
3662. 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
3663. Widespread underestimation of ecosystem water use efficiency in CMIP6 models D. Li & S. Wang https://doi.org/10.1016/j.jhydrol.2024.132558
3664. StraitFlux – precise computations of water strait fluxes on various modeling grids S. Winkelbauer et al. https://doi.org/10.5194/gmd-17-4603-2024
3665. Explainable AI in lengthening ENSO prediction from western north pacific precursor L. Deng et al. https://doi.org/10.1016/j.ocemod.2024.102431
3666. Projected Changes to Spring and Summer Precipitation in the Midwestern United States K. Grady et al. https://doi.org/10.3389/frwa.2021.780333
3667. 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
3668. 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
3669. 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
3670. 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
3671. 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
3672. A Morphing-Based Future Scenario Generation Method for Stochastic Power System Analysis Y. Gao et al. https://doi.org/10.3390/su16072762
3673. 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
3674. Emerging trans-Eurasian heatwave-drought train in a warming climate J. Jeong et al. https://doi.org/10.1126/sciadv.adr7320
3675. 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
3676. 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
3677. Future Projection of Extreme Precipitation Indices over the Qilian Mountains under Global Warming Y. Li et al. https://doi.org/10.3390/ijerph20064961
3678. 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
3679. 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
3680. Effects of Soil Texture Datasets on FGOALS-g3 Global Long-Term Simulations K. Xia et al. https://doi.org/10.2151/sola.2024-047
3681. Non-uniform changes of daily precipitation in China: Observations and simulations J. Wang et al. https://doi.org/10.1016/j.wace.2024.100665
3682. Climate model tuning with adaptive supermodeling J. Seneca et al. https://doi.org/10.1063/5.0304768
3683. 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
3684. Climate, weather, and child health: quantifying health co-benefits S. Dasgupta & E. Robinson https://doi.org/10.1088/1748-9326/ad5d09
3685. Daytime-only mean data enhance understanding of land–atmosphere coupling Z. Yin et al. https://doi.org/10.5194/hess-27-861-2023
3686. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al. https://doi.org/10.1029/2022GB007520
3687. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. https://doi.org/10.1029/2020MS002210
3688. 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
3689. 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
3690. 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
3691. Bio-Ecological Indicators for Gentiana pneumonanthe L. Climatic Suitability in the Iberian Peninsula T. Freitas et al. https://doi.org/10.3390/plants14182857
3692. Decadal prediction system based on the INM RAS climate model V. Bragina et al. https://doi.org/10.1007/s00382-026-08047-w
3693. Climate change impacts on mesophotic regions of the Great Barrier Reef J. McWhorter et al. https://doi.org/10.1073/pnas.2303336121
3694. 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
3695. 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
3696. 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
3697. Emergence of anthropogenic precipitation changes in a future warmer climate S. Kusunoki et al. https://doi.org/10.1038/s41612-025-01128-3
3698. 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
3699. 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
3700. 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
3701. Climate warming contributes to the record-shattering 2022 Pakistan rainfall Y. You et al. https://doi.org/10.1038/s41612-024-00630-4
3702. 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
3703. 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
3704. 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
3705. 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
3706. 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
3707. 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
3708. 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
3709. 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
3710. The Impact of Climate Change and Carbon Policy on Company Earnings M. Goldklang et al. https://doi.org/10.2139/ssrn.4477683
3711. CMIP6 models project a shrinking precipitation area A. Dobler et al. https://doi.org/10.1038/s41612-024-00794-z
3712. 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
3713. 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
3714. 21st-century stagnation in unvegetated sand-sea activity A. Gunn et al. https://doi.org/10.1038/s41467-022-31123-8
3715. 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
3716. The impacts of rising vapour pressure deficit in natural and managed ecosystems K. Novick et al. https://doi.org/10.1111/pce.14846
3717. 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
3718. 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
3719. 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
3720. 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
3721. Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo T. Lam et al. https://doi.org/10.1002/joc.8442
3722. 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
3723. Climate Change Projections for the Australian Monsoon From CMIP6 Models S. Narsey et al. https://doi.org/10.1029/2019GL086816
3724. 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
3725. Nutrition-sensitive climate risk across food production systems M. Tigchelaar et al. https://doi.org/10.1088/1748-9326/ad9b3a
3726. 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
3727. 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
3728. 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
3729. 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
3730. 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
3731. Experiment design of the International CLIVAR C20C+ Detection and Attribution project D. Stone et al. https://doi.org/10.1016/j.wace.2019.100206
3732. 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
3733. 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
3734. 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
3735. Predicting future runoff variability in river basins with machine learning S. Mohammad et al. https://doi.org/10.1016/j.asr.2026.05.018
3736. 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
3737. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo https://doi.org/10.1029/2022JD038118
3738. 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
3739. 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
3740. 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
3741. 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
3742. 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
3743. 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
3744. 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
3745. 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
3746. 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
3747. High impact compound events in Australia N. Ridder et al. https://doi.org/10.1016/j.wace.2022.100457
3748. The effect of solar radiation modification on agroclimatic indices in Africa T. Egbebiyi et al. https://doi.org/10.1088/2752-5295/ade619
3749. 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
3750. 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
3751. Equilibrium Modeling for Environmental Science: Exploring the Nexus of Economic Systems and Environmental Change M. Cantele et al. https://doi.org/10.1029/2020EF001923
3752. 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
3753. Rapid Acceleration of Dangerous Compound Heatwaves and Their Impacts in a Warmer China W. Dong et al. https://doi.org/10.1029/2023GL104850
3754. 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
3755. 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
3756. 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
3757. 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
3758. 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
3759. 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
3760. 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
3761. 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
3762. 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
3763. 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
3764. 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
3765. 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
3766. 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
3767. 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
3768. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. https://doi.org/10.1111/jbi.14785
3769. 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
3770. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
3771. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. https://doi.org/10.1029/2021GL094532
3772. 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
3773. 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
3774. 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
3775. 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
3776. 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
3777. 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
3778. 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
3779. 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
3780. 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
3781. Global convection-permitting model improves subseasonal forecast of plum rain around Japan J. Gu et al. https://doi.org/10.1088/1748-9326/ad71e2
3782. 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
3783. 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
3784. 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
3785. Using analogues to predict changes in future UK heatwaves* E. Yule et al. https://doi.org/10.1088/2752-5295/ad57e3
3786. 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
3787. 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
3788. 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
3789. 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
3790. 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
3791. 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
3792. 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
3793. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. https://doi.org/10.1073/pnas.2312400121
3794. 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
3795. 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
3796. 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
3797. Are Cut-off Lows simulated better in CMIP6 compared to CMIP5? H. Pinheiro et al. https://doi.org/10.1007/s00382-022-06200-9
3798. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. https://doi.org/10.3390/atmos12030406
3799. Preface to Special Issue on CMIP6 Experiments: Model and Dataset Descriptions T. Zhou https://doi.org/10.1007/s00376-020-0008-8
3800. Interannual ENSO diversity, transitions, and projected changes in observations and climate models M. Freund et al. https://doi.org/10.1088/1748-9326/ad78db
3801. 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
3802. 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
3803. 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
3804. 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
3805. 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
3806. 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
3807. 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
3808. 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
3809. 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
3810. 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
3811. 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
3812. 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
3813. Study of the PDO Index Predictability for 1 to 5 Years with INMCM5 M. Aleksandrov et al. https://doi.org/10.1134/S0001437024700401
3814. 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
3815. Tropical forest restoration under future climate change A. Koch & J. Kaplan https://doi.org/10.1038/s41558-022-01289-6
3816. Mid- to late Holocene centennial-scale shifts of the Southern Hemisphere Westerly winds J. Kaiser et al. https://doi.org/10.1177/09596836251387256
3817. 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
3818. Subtropical drying under greenhouse gas-induced warming J. Zhu et al. https://doi.org/10.1007/s00382-023-06797-5
3819. 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
3820. 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
3821. 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
3822. 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
3823. 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
3824. Temperature dataset of CMIP6 models over China: evaluation, trend and uncertainty Q. You et al. https://doi.org/10.1007/s00382-021-05691-2
3825. 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
3826. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. https://doi.org/10.1029/2019GL086875
3827. 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
3828. 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
3829. 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
3830. 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
3831. Identifying Suitable Regions for Fritillaria unibracteata Cultivation Without Damage from the Pest Eospalax baileyi C. Deng et al. https://doi.org/10.3390/plants14050674
3832. 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
3833. Carbon system state determines warming potential of emissions A. Winkler et al. https://doi.org/10.1371/journal.pone.0306128
3834. Glaciers and glaciation of North Island, New Zealand S. Eaves & M. Brook https://doi.org/10.1080/00288306.2020.1811354
3835. 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
3836. 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
3837. Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands V. Kowal et al. https://doi.org/10.3390/land10040397
3838. The climate of a retrograde rotating Earth U. Mikolajewicz et al. https://doi.org/10.5194/esd-9-1191-2018
3839. 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
3840. 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
3841. 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
3842. 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
3843. 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
3844. 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
3845. 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
3846. OMPS-LP aerosol extinction coefficients and their applicability in GloSSAC M. Kovilakam et al. https://doi.org/10.5194/acp-25-535-2025
3847. 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
3848. 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
3849. 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
3850. 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
3851. 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
3852. Unprecedented Europe Heat in June–July 2019: Risk in the Historical and Future Context F. Ma et al. https://doi.org/10.1029/2020GL087809
3853. 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
3854. Emergent Constraints on Future Expansion of the Indo‐Pacific Warm Pool I. Park et al. https://doi.org/10.1029/2021GL097343
3855. Cloud Response Is Significantly Biased by CMIP6 Over the Tibetan Plateau Y. Zhao et al. https://doi.org/10.1029/2022GL100903
3856. 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
3857. Optimal Growth of IPV Lags AMV Modulations by up to a Decade J. Yang et al. https://doi.org/10.1029/2021GL096654
3858. 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
3859. 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
3860. 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
3861. 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
3862. 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
3863. 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
3864. Using climate models to estimate the quality of global observational data sets F. Massonnet et al. https://doi.org/10.1126/science.aaf6369
3865. 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
3866. 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
3867. 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
3868. 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
3869. 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
3870. Projected increase in global runoff dominated by land surface changes S. Zhou et al. https://doi.org/10.1038/s41558-023-01659-8
3871. 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
3872. Asymmetrical Precipitation Sensitivity to Temperature Across Global Dry and Wet Regions J. Liang et al. https://doi.org/10.1029/2023EF003617
3873. Reviving the Aral Sea: A Hydro‐Eco‐Social Perspective X. Wang et al. https://doi.org/10.1029/2023EF003657
3874. Milk contamination in Europe under anticipated climate change scenarios L. Katsini et al. https://doi.org/10.3389/fsufs.2024.1468698
3875. 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
3876. 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
3877. 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
3878. 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
3879. 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
3880. 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
3881. 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
3882. Improved methods for estimating equilibrium climate sensitivity from transient warming simulations A. Dai et al. https://doi.org/10.1007/s00382-020-05242-1
3883. 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
3884. 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
3885. China’s nationwide streamflow decline driven by landscape changes and human interventions K. Wang et al. https://doi.org/10.1126/sciadv.adu8032
3886. 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
3887. 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
3888. Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al. https://doi.org/10.1029/2023JD038906
3889. High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. https://doi.org/10.1029/2022EF002833
3890. 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
3891. 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
3892. 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
3893. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
3894. Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao https://doi.org/10.1175/JCLI-D-21-0332.1
3895. 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
3896. 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
3897. 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
3898. 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
3899. 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
3900. Tropical volcanic eruptions enhance Pacific-driven global tropical cyclone genesis J. Zhao et al. https://doi.org/10.1088/1748-9326/ade895
3901. 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
3902. Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China X. Jiao et al. https://doi.org/10.3390/agronomy13102498
3903. 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
3904. 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
3905. 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
3906. Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al. https://doi.org/10.1029/2023EF003479
3907. Temperature change and male infertility prevalence: an ecological study J. Qian et al. https://doi.org/10.1186/s12889-025-22934-7
3908. Exogenous moisture deficit fuels drought risks across China G. Wang et al. https://doi.org/10.1038/s41612-023-00543-8
3909. Compound Effects of Climate Change on Future Transboundary Water Issues in the Middle East A. Dezfuli et al. https://doi.org/10.1029/2022EF002683
3910. 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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3913. 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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3915. End-of-century Arctic Ocean phytoplankton blooms start a month earlier due to anthropogenic climate change C. Payne et al. https://doi.org/10.1038/s43247-025-02807-y
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3917. Climate change impacts on regional agricultural irrigation water use in semi-arid environments X. Tian et al. https://doi.org/10.1016/j.agwat.2023.108239
3918. Simulated ocean oxygenation during the interglacials MIS 5e and MIS 9e B. Duboc et al. https://doi.org/10.5194/cp-21-1093-2025
3919. 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
3920. Pre‐Industrial, Present and Future Atmospheric Soluble Iron Deposition and the Role of Aerosol Acidity and Oxalate Under CMIP6 Emissions E. Bergas‐Massó et al. https://doi.org/10.1029/2022EF003353
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3922. 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
3923. 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
3924. 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
3925. 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
3926. 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
3927. 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
3928. Extreme temperature indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1007/s00382-022-06503-x
3929. 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
3930. 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
3931. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the seasonal extreme precipitation in the Western North Pacific and East Asia C. Chen et al. https://doi.org/10.1016/j.wace.2021.100303
3932. 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
3933. 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
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3935. 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
3936. The Duration of Dry Events Promotes PVC Film Fragmentation in Intermittent Rivers N. Barthelemy et al. https://doi.org/10.1021/acs.est.4c00528
3937. 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
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3941. 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
3942. Evaluation of the CMIP6 multi-model ensemble for climate extreme indices Y. Kim et al. https://doi.org/10.1016/j.wace.2020.100269
3943. 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
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3946. 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
3947. Greenhouse warming intensifies north tropical Atlantic climate variability Y. Yang et al. https://doi.org/10.1126/sciadv.abg9690
3948. The Intrinsic 150‐Day Periodicity of the Southern Hemisphere Extratropical Large‐Scale Atmospheric Circulation S. Lubis & P. Hassanzadeh https://doi.org/10.1029/2022AV000833
3949. 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
3950. Precipitation disaster hotspots depend on historical climate variability I. de Vries et al. https://doi.org/10.1038/s41467-025-66601-2
3951. 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
3952. 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
3953. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. https://doi.org/10.5194/esd-15-689-2024
3954. A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. https://doi.org/10.1126/sciadv.adg1213
3955. 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
3956. 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
3957. 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
3958. 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
3959. 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
3960. 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
3961. 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
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3963. Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
3964. 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
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3969. 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
3970. 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
3971. 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
3972. Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
3973. 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
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3978. 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
3979. 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
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3982. Impact of El Niño and La Niña on the ocean carbon cycle Y. Hong & B. Ali https://doi.org/10.1051/matecconf/202541002024
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3984. 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
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3987. 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
3988. 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
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3990. 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
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3995. 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
3996. 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
3997. 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
3998. 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
3999. 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
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4001. 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
4002. 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
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4008. 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
4009. 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
4010. 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
4011. 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
4012. Projected Rainfall‐Driven Expansion of Woody Cover in African Drylands W. Zhang et al. https://doi.org/10.1029/2023GL103932
4013. 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
4014. 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
4015. 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
4016. 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
4017. 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
4018. Future sea-level rise projections for tide gauge locations in South Asia B. Harrison et al. https://doi.org/10.1088/2515-7620/ac2e6e
4019. Comparison of indicators to evaluate the performance of climate models M. Gómez et al. https://doi.org/10.1002/joc.8619
4020. 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
4021. 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
4022. Estimating and tracking the remaining carbon budget for stringent climate targets J. Rogelj et al. https://doi.org/10.1038/s41586-019-1368-z
4023. FROT: A Framework to comprehensively describe radiative contributions to temperature responses E. Monteiro et al. https://doi.org/10.1088/1748-9326/ad8807
4024. Overview of the MOSAiC expedition: Physical oceanography B. Rabe et al. https://doi.org/10.1525/elementa.2021.00062
4025. 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
4026. 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
4027. 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
4028. 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
4029. 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
4030. The ICON Earth System Model Version 1.0 J. Jungclaus et al. https://doi.org/10.1029/2021MS002813
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4032. 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
4033. 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
4034. Assessment on the Climate Change Impact Using CMIP6 W. Othman & N. Tukimat https://doi.org/10.1088/1755-1315/1140/1/012005
4035. 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
4036. 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
4037. 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
4038. 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
4039. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. https://doi.org/10.3390/atmos12070887
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4041. 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
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4044. 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
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4047. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. https://doi.org/10.3390/biology11081100
4048. Abrupt shift of El Niño periodicity under CO 2 mitigation T. Iwakiri et al. https://doi.org/10.1073/pnas.2426048122
4049. Introducing the Model Fidelity Metric (MFM) for robust and diagnostic land surface model evaluation Z. Wu et al. https://doi.org/10.5194/hess-30-2651-2026
4050. Seasonal Variation of Wet Deposition of Black Carbon at Ny‐Ålesund, Svalbard T. Mori et al. https://doi.org/10.1029/2020JD034110
4051. Fidelity of CMIP6 Models in Simulating June–September Rainfall Climatology, Spatial and Trend Patterns Over Complex Topography of Greater Horn of Africa W. Jima et al. https://doi.org/10.1007/s00024-023-03414-8
4052. Prolonged wind droughts in a warming climate threaten global wind power security M. Qu et al. https://doi.org/10.1038/s41558-025-02387-x
4053. Increasing meridional disparity of population exposure to heat stress X. Xu et al. https://doi.org/10.1016/j.geosus.2025.100391
4054. QBO/Solar Influences on the Tropical Madden‐Julian Oscillation: A Mechanism Based on Extratropical Wave Forcing in Late Fall and Early Winter L. Hood et al. https://doi.org/10.1029/2022JD037824
4055. Climate change on Eucalyptus plantations and adaptive measures for sustainable forestry development across Brazil G. Florêncio et al. https://doi.org/10.1016/j.indcrop.2022.115538
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4057. Differential impact of climate and land use change on habitat suitability of migrant passerines according to habitat preferences T. Koufaki et al. https://doi.org/10.1016/j.ancene.2024.100447
4058. Inferring causation from time series in Earth system sciences J. Runge et al. https://doi.org/10.1038/s41467-019-10105-3
4059. BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model T. Wu et al. https://doi.org/10.5194/gmd-14-2977-2021
4060. The CNRM Global Atmosphere Model ARPEGE‐Climat 6.3: Description and Evaluation R. Roehrig et al. https://doi.org/10.1029/2020MS002075
4061. Observationally-constrained projections of an ice-free Arctic even under a low emission scenario Y. Kim et al. https://doi.org/10.1038/s41467-023-38511-8
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4075. Assessing Climate Change Impacts on Precipitation and Temperature in a Mediterranean Basin under CMIP6 Scenarios E. Yalcin & K. Koparal Bozkurt https://doi.org/10.34248/bsengineering.1746627
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4092. Projection of future dry‐wet evolution in Northwest China and its uncertainty attribution analysis W. Liu et al. https://doi.org/10.1002/rvr2.39
4093. Hydrological Extremes and Responses to Climate Change in the Kelantan River Basin, Malaysia, Based on the CMIP6 HighResMIP Experiments M. Tan et al. https://doi.org/10.3390/w13111472
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4095. Future Changes of Summer Monsoon Characteristics and Evaporative Demand Over Asia in CMIP6 Simulations K. Ha et al. https://doi.org/10.1029/2020GL087492
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4114. Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 G. Di Virgilio et al. https://doi.org/10.5194/gmd-18-703-2025
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4117. Heteroscedastic Characteristics of Precipitation with Climate Changes in China Z. Qian et al. https://doi.org/10.3390/atmos13122116
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4119. Representations of Summer North Africa and North Pacific Subtropical Highs in CMIP6 Simulations S. Kingbe et al. https://doi.org/10.1002/joc.70082
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4121. Uncertainty in US forest carbon storage potential due to climate risks C. Wu et al. https://doi.org/10.1038/s41561-023-01166-7
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4123. Timing of spring events changes under modelled future climate scenarios in a mesotrophic lake J. Mesman et al. https://doi.org/10.5194/hess-28-1791-2024
4124. Land-air coupling exacerbates the future risk of concurrent daytime-nighttime hot extremes K. Zhang et al. https://doi.org/10.1007/s11430-024-1519-2
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4126. Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model L. Calle & B. Poulter https://doi.org/10.5194/gmd-14-2575-2021
4127. Comparisons of simulated radiation, surface wind stress and SST fields over tropical pacific by the GISS CMIP6 versions of global climate models with observations J. Li et al. https://doi.org/10.1088/2515-7620/aca9ab
4128. Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas M. Lalande et al. https://doi.org/10.5194/tc-17-5095-2023
4129. Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al. https://doi.org/10.3390/rs15235460
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4135. South Asian summer rainfall from CMIP3 to CMIP6 models: biases and improvements L. He et al. https://doi.org/10.1007/s00382-022-06542-4
4136. The potential habitat of desert locusts is contracting: predictions under climate change scenarios J. Guan et al. https://doi.org/10.7717/peerj.12311
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4138. The important role of African emissions reductions in projected local rainfall changes D. Shindell et al. https://doi.org/10.1038/s41612-023-00382-7
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4140. The underestimated magnitude and decline trend in near‐surface wind over China Y. Jiang et al. https://doi.org/10.1002/asl.791
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4142. Anthropogenic aerosols mask increases in US rainfall by greenhouse gases M. Risser et al. https://doi.org/10.1038/s41467-024-45504-8
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4144. Ambient heat stress and urolithiasis attacks in China: Implication for climate change L. Zhou et al. https://doi.org/10.1016/j.envres.2022.114850
4145. Predicting the expansion of Gephyraulus lycantha as a key pest of goji berry in China under climate change Z. Song et al. https://doi.org/10.3389/fpls.2026.1786710
4146. Delayed onset of the tropical Asian summer monsoon in CMIP6 can be linked to the cold bias over the Tibetan Plateau D. Hu et al. https://doi.org/10.1088/1748-9326/acff79
4147. Predicting potential global and future distributions of the African armyworm (Spodoptera exempta) using species distribution models I. Gómez-Undiano et al. https://doi.org/10.1038/s41598-022-19983-y
4148. Mechanisms of tropical precipitation biases in climate models H. Kim et al. https://doi.org/10.1007/s00382-020-05325-z
4149. A 120-year record of environmental change and landscape responses from nebkha deposits in the Mu Us dune field, north-central China Z. Xu et al. https://doi.org/10.1016/j.quascirev.2026.110091
4150. Simulation of the Land and Ocean Carbon Cycle with the INM-CM6 Earth System Model A. Chernenkov et al. https://doi.org/10.3103/S1068373925090067
4151. Co‐constructing an Interactive Tool to Support Climate Change Resilience Planning in Industry S. Sroka et al. https://doi.org/10.1002/cli2.70008
4152. How climate change intensified storm Boris’ extreme rainfall, revealed by near-real-time storylines M. Athanase et al. https://doi.org/10.1038/s43247-024-01847-0
4153. Changes in ENSO-driven Hadley circulation variability under global warming X. Xie et al. https://doi.org/10.1016/j.atmosres.2022.106220
4154. New and Noteworthy Taxa of the Genus Dactylorhiza Necker ex Nevski (Orchidaceae Juss.) in Kazakhstan Flora and Its Response to Global Warming A. Sumbembayev et al. https://doi.org/10.3390/d15030369
4155. 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
4156. Development of climate indices relevant for agriculture in Africa under different climate change scenarios based on GCM and RCM ensembles K. Ziegler et al. https://doi.org/10.1088/2752-5295/ad9f94
4157. Ecological niche modeling for determining grass species suitable for Hirola range‐wide restoration and reintroduction in eastern Kenya A. Ali & G. Muriuki https://doi.org/10.1111/rec.70284
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4159. Critical Role of Area Weighting on Estimated Long-Term Global Warming and Heat Wave Trends S. Ju et al. https://doi.org/10.3390/appliedmath4040086
4160. Analogous response of temperate terrestrial exoplanets and Earth’s climate dynamics to greenhouse gas supplement A. Hochman et al. https://doi.org/10.1038/s41598-023-38026-8
4161. Band-by-band spectral radiative kernels based on the ERA5 reanalysis H. Huang et al. https://doi.org/10.1038/s41597-024-03080-y
4162. Increased projected changes in quasi-resonant amplification and persistent summer weather extremes in the latest multimodel climate projections S. Guimarães et al. https://doi.org/10.1038/s41598-024-72787-0
4163. Rapid Sea-Level Rise in the Southern-Hemisphere Subtropical Oceans J. Duan et al. https://doi.org/10.1175/JCLI-D-21-0248.1
4164. Climate Projections Very Likely Underestimate Future Volcanic Forcing and Its Climatic Effects M. Chim et al. https://doi.org/10.1029/2023GL103743
4165. Trends, variability and predictive skill of the ocean heat content in North Atlantic: an analysis with the EC-Earth3 model T. Carmo-Costa et al. https://doi.org/10.1007/s00382-021-05962-y
4166. Assessing the performance of the CMIP6 multi model mean in simulating precipitation and temperature across Africa S. Zebaze et al. https://doi.org/10.1007/s40808-025-02560-3
4167. Anthropogenic Aerosol Dominates the Decadal Change in Evapotranspiration over Southeastern China in the Past Four Decades Z. Kong et al. https://doi.org/10.3390/rs17030561
4168. How Does the Quasi-Biennial Oscillation Affect the Boreal Winter Tropospheric Circulation in CMIP5/6 Models? J. Rao et al. https://doi.org/10.1175/JCLI-D-20-0024.1
4169. Model uncertainties in climate change impacts on Sahel precipitation in ensembles of CMIP5 and CMIP6 simulations P. Monerie et al. https://doi.org/10.1007/s00382-020-05332-0
4170. Microhabitat Preferences, Climate Vulnerability and Conservation Status of the High‐Elevation Orange‐Speckled Forest Skink (Tumbunascincus luteilateralis) J. Farquhar et al. https://doi.org/10.1111/aec.70083
4171. Westward shift of tropical cyclogenesis over the southern Indian Ocean X. Cao et al. https://doi.org/10.1088/1748-9326/ad1d9b
4172. Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM T. Ramotubei et al. https://doi.org/10.3389/fclim.2025.1504756
4173. Anthropogenic climate change has reduced drought recovery probabilities across the western US E. Williams et al. https://doi.org/10.1038/s43247-024-01640-z
4174. Influences of climate change on carbon and water fluxes of the ecosystem in the Qinling Mountains of China K. Gong et al. https://doi.org/10.1016/j.ecolind.2024.112504
4175. Applications of species distribution modeling and future needs to support marine resource management M. Karp et al. https://doi.org/10.1093/icesjms/fsaf024
4176. Future changes in extreme precipitation events over the Volta basin under medium and high emission scenarios J. Agyekum et al. https://doi.org/10.1007/s00382-025-07957-5
4177. Revisiting the Upwelling Evolution along the Western Iberian Peninsula over the 21st Century Using Dynamically Downscaled CMIP6 Data B. Thomas et al. https://doi.org/10.3390/jmse12091494
4178. Assessment of the Ability of CMIP6 GCMS to Simulate the Boreal Summer Intraseasonal Oscillation Over Southeast Asia A. Abatan et al. https://doi.org/10.3389/fclim.2021.716129
4179. Population-specific thermal responses contribute to regional variability in arbovirus transmission with changing climates R. Fay et al. https://doi.org/10.1016/j.isci.2024.109934
4180. The CMIP6 Historical Simulation Datasets Produced by the Climate System Model CAMS-CSM X. Rong et al. https://doi.org/10.1007/s00376-020-0171-y
4181. Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region G. Ferreiro-Lera et al. https://doi.org/10.3390/rs16111831
4182. Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. https://doi.org/10.5194/acp-25-5175-2025
4183. Permafrost Thawing and Estimates of Vulnerable Carbon in the Northern High Latitude I. Nadeem et al. https://doi.org/10.1007/s41748-024-00491-0
4184. A Gaussian process emulator for simulating ice sheet–climate interactions on a multi-million-year timescale: CLISEMv1.0 J. Van Breedam et al. https://doi.org/10.5194/gmd-14-6373-2021
4185. Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs T. Wong et al. https://doi.org/10.1029/2022EF003061
4186. European heat extremes under net-zero emissions E. Alastrué de Asenjo et al. https://doi.org/10.1088/1748-9326/addee4
4187. Near future projections of tropical cyclone tracks over the Bay of Bengal using high resolution CMIP6 models R. Adsul et al. https://doi.org/10.1038/s41598-026-35482-w
4188. Potential geographical distribution and its multi-factor analysis of Pinus massoniana in China based on the maxent model Y. He et al. https://doi.org/10.1016/j.ecolind.2023.110790
4189. Impact of land use changes and global warming on extreme precipitation patterns in the Maritime Continent J. Hsu et al. https://doi.org/10.1038/s41612-024-00883-z
4190. 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
4191. 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
4192. Terrestrial amplification of past, present, and future climate change A. Seltzer et al. https://doi.org/10.1126/sciadv.adf8119
4193. Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. https://doi.org/10.1029/2022RG000780
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4195. 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
4196. Increased synoptic variability along the subtropical Meiyu front under global warming G. Yang & T. Li https://doi.org/10.1007/s00382-022-06554-0
4197. 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
4198. 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
4199. 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
4200. Evidence of localised Amazon rainforest dieback in CMIP6 models I. Parry et al. https://doi.org/10.5194/esd-13-1667-2022
4201. Future projections of aridity change across Africa's climatic regions E. Dioha et al. https://doi.org/10.1016/j.atmosres.2026.108916
4202. 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
4203. 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
4204. 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
4205. 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
4206. 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
4207. Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models T. Uchida et al. https://doi.org/10.5194/gmd-15-5829-2022
4208. 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
4209. 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
4210. 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
4211. 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
4212. 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
4213. 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
4214. 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
4215. Human influence on climate detectable in the late 19th century B. Santer et al. https://doi.org/10.1073/pnas.2500829122
4216. Increasing seasonal disparity in water availability across the Northern Hemisphere F. Zhao et al. https://doi.org/10.59717/j.xinn-geo.2026.100191
4217. 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
4218. 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
4219. 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
4220. The contributions of individual countries and regions to the global radiative forcing B. Fu et al. https://doi.org/10.1073/pnas.2018211118
4221. Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al. https://doi.org/10.1029/2022WR034012
4222. The Rising Threat of Atmospheric CO2: A Review on the Causes, Impacts, and Mitigation Strategies L. Nunes https://doi.org/10.3390/environments10040066
4223. 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
4224. 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
4225. 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
4226. 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
4227. 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
4228. 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
4229. 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
4230. 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
4231. 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
4232. 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
4233. 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
4234. Context matters when using climate model projections for aquaculture L. Falconer et al. https://doi.org/10.3389/fmars.2023.1198451
4235. 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
4236. 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
4237. Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth D. Feldman et al. https://doi.org/10.1029/2020GL089221
4238. 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
4239. 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
4240. 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
4241. ICON‐A, the Atmosphere Component of the ICON Earth System Model: I. Model Description M. Giorgetta et al. https://doi.org/10.1029/2017MS001242
4242. 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
4243. 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
4244. Decreased river runoff on the Mongolian Plateau since around 2000 W. Qi et al. https://doi.org/10.1007/s10980-024-01877-1
4245. 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
4246. Could CMIP6 climate models reproduce the early-2000s global warming slowdown? M. Wei et al. https://doi.org/10.1007/s11430-020-9740-3
4247. Co‐occurrence of California Drought and Northeast Pacific Marine Heatwaves Under Climate Change H. Shi et al. https://doi.org/10.1029/2021GL092765
4248. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires https://doi.org/10.1007/s10584-023-03597-y
4249. 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
4250. 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
4251. 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
4252. Warming-induced cryosphere changes predict drier Andean eco-regions A. Al-Yaari et al. https://doi.org/10.1088/1748-9326/ad6ea6
4253. 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
4254. Structure and Performance of GFDL's CM4.0 Climate Model I. Held et al. https://doi.org/10.1029/2019MS001829
4255. Terrestrial Stilling Projected to Continue in the Northern Hemisphere Mid‐Latitudes K. Deng et al. https://doi.org/10.1029/2021EF002448
4256. 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
4257. Evaluation and Projection of Precipitation in CMIP6 Models over the Qilian Mountains, China X. Yang et al. https://doi.org/10.3390/rs15174350
4258. 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
4259. 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
4260. 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
4261. 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
4262. 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
4263. 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
4264. 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
4265. 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
4266. 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
4267. 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
4268. Constraining future surface air temperature change on the Tibetan Plateau J. Wang et al. https://doi.org/10.1088/1748-9326/ad6677
4269. 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
4270. 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
4271. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. https://doi.org/10.1126/sciadv.adf2758
4272. 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
4273. Climate warming accelerates carbon release from foliar litter—A global synthesis Z. Chen et al. https://doi.org/10.1111/gcb.17350
4274. 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
4275. 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
4276. 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
4277. Different Climate Responses to Northern, Tropical, and Southern Volcanic Eruptions in CMIP6 Models Q. Zeng & S. Chen https://doi.org/10.3390/cli14010008
4278. 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
4279. Anthropogenic Attribution of the Increasing Seasonal Amplitude in Surface Ocean pCO2 F. Joos et al. https://doi.org/10.1029/2023GL102857
4280. 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
4281. 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
4282. 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
4283. 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
4284. 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
4285. Climate Perspectives in the Intra–Americas Seas A. Durán-Quesada et al. https://doi.org/10.3390/atmos11090959
4286. 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
4287. 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
4288. 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
4289. 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
4290. 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
4291. Efficacy of climate forcings in transient CMIP6 simulations G. Myhre et al. https://doi.org/10.3389/fclim.2024.1397358
4292. 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
4293. Sensitivity of Arctic sea ice recovery to stratospheric aerosol injection latitude H. Kim et al. https://doi.org/10.1038/s41612-025-01298-0
4294. 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
4295. 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
4296. 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
4297. 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
4298. 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
4299. 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
4300. The tropical Atlantic as a negative feedback on ENSO I. Richter et al. https://doi.org/10.1007/s00382-022-06582-w
4301. 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
4302. 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
4303. 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
4304. 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
4305. CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments B. HE et al. https://doi.org/10.1080/16742834.2020.1778419
4306. 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
4307. Climate change economics in Vietnam: Redefining economic impact C. Otto et al. https://doi.org/10.1016/j.eneco.2026.109390
4308. Observed Changes and Projected Risks of Hot–Dry/Hot–Wet Compound Events in China Y. Zou & X. Song https://doi.org/10.3390/rs16224208
4309. Causal networks for climate model evaluation and constrained projections P. Nowack et al. https://doi.org/10.1038/s41467-020-15195-y
4310. 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
4311. Simulation of Present Day Climate with Climate Model INMCM60 E. Volodin https://doi.org/10.31857/S0002351523010133
4312. Evidence of rapid adaptation integrated into projections of temperature-related excess mortality V. Huber et al. https://doi.org/10.1088/1748-9326/ac5dee
4313. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al. https://doi.org/10.5194/gmd-17-8141-2024
4314. Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa H. Babaousmail et al. https://doi.org/10.3390/atmos12040475
4315. 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
4316. Climate change impacts on the within-country income distributions M. Gilli et al. https://doi.org/10.1016/j.jeem.2024.103012
4317. 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
4318. 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
4319. 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
4320. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé https://doi.org/10.5194/os-17-59-2021
4321. Future intensification of ENSO impacts on the Southeast Asian hydroclimate T. Le https://doi.org/10.1080/02626667.2025.2606159
4322. Historical Changes of Black Carbon in Snow and Its Radiative Forcing in CMIP6 Models Y. Chen et al. https://doi.org/10.3390/atmos13111774
4323. 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
4324. 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
4325. 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
4326. 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
4327. 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
4328. Alkalinity responses to climate warming destabilise the Earth’s thermostat N. Lehmann et al. https://doi.org/10.1038/s41467-023-37165-w
4329. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. https://doi.org/10.5194/gmd-10-359-2017
4330. 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
4331. 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
4332. 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
4333. 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
4334. 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
4335. 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
4336. 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
4337. Factors influencing the effectiveness of group interactions among international and interdisciplinary early-career researchers working toward environmental sustainability in climate change A. Enriquez et al. https://doi.org/10.1007/s10668-022-02736-2
4338. 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
4339. 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
4340. 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
4341. 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
4342. 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
4343. 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
4344. 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
4345. 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
4346. 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
4347. 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
4348. 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
4349. Accelerated North Atlantic surface warming reshapes the Atlantic Multidecadal Variability D. Zanchettin & A. Rubino https://doi.org/10.1038/s43247-024-01804-x
4350. 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
4351. Impacts of anthropogenic climate change on meteorological drought in China R. Dai et al. https://doi.org/10.3389/feart.2024.1369523
4352. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
4353. The global distribution and climate resilience of marine heterotrophic prokaryotes R. Heneghan et al. https://doi.org/10.1038/s41467-024-50635-z
4354. 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
4355. 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
4356. 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
4357. An Integrative Framework for Assessment of Urban Flood Response to Changing Climate L. Pal et al. https://doi.org/10.1029/2023WR034466
4358. 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
4359. 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
4360. 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
4361. 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
4362. 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
4363. 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
4364. 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
4365. 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
4366. 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
4367. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. https://doi.org/10.1029/2019MS001946
4368. Past warming trend constrains future warming in CMIP6 models K. Tokarska et al. https://doi.org/10.1126/sciadv.aaz9549
4369. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. https://doi.org/10.1038/s41612-021-00203-9
4370.  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
4371. 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
4372. 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
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4525. 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
4526. 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
4527. 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
4528. 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
4529. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections G. Ferreira et al. https://doi.org/10.3390/cli11080166
4530. Divergent Regional Climate Consequences of Maintaining Current Irrigation Rates in the 21st Century B. Cook et al. https://doi.org/10.1029/2019JD031814
4531. 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
4532. Rain use efficiency gradients across Australian ecosystems Z. Liu et al. https://doi.org/10.1016/j.scitotenv.2024.173101
4533. Sea Levels Dynamical Downscaling and Climate Change Projections at the Uruguayan Coast M. Jackson et al. https://doi.org/10.3389/fmars.2022.846396
4534. 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
4535. Shifting hotspot of tropical cyclone clusters in a warming climate Z. Fu et al. https://doi.org/10.1038/s41558-025-02397-9
4536. 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
4537. 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
4538. Anthropogenic Weakening of the Atmospheric Circulation During the Satellite Era S. Shrestha & B. Soden https://doi.org/10.1029/2023GL104784
4539. 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
4540. Projected changes in African easterly wave activity due to climate change A. Akinsanola et al. https://doi.org/10.1038/s43247-024-01981-9
4541. Understanding Future Change of Global Monsoons Projected by CMIP6 Models B. Wang et al. https://doi.org/10.1175/JCLI-D-19-0993.1
4542. Regional warming from urbanization is disproportionate to urban expansion rate S. Liu et al. https://doi.org/10.1016/j.oneear.2025.101234
4543. 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
4544. 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
4545. Drivers to recent springtime dust activity in East Asia N. Luo et al. https://doi.org/10.1016/j.gloplacha.2025.105184
4546. 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
4547. 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
4548. 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
4549. Transitions to new climates (TNCs) in the 21st century F. Giorgi & F. Raffaele https://doi.org/10.1088/1748-9326/ac71b7
4550. 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
4551. 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
4552. 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
4553. 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
4554. 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
4555. 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
4556. 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
4557. 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
4558. 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
4559. 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
4560. 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
4561. Targeting bias in algorithm optimization improves reconstructions of surface ocean pCO2 T. Heimdal et al. https://doi.org/10.1088/3049-4753/adddc3
4562. 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
4563. Integrating Long Tide Gauge Records with Projection Modelling Outputs. A Case Study: New York P. Watson https://doi.org/10.3390/jmse5030034
4564. 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
4565. Absorbing Aerosol Choices Influences Precipitation Changes Across Future Scenarios I. McCoy et al. https://doi.org/10.1029/2022GL097717
4566. Neural general circulation models for weather and climate D. Kochkov et al. https://doi.org/10.1038/s41586-024-07744-y
4567. 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
4568. 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
4569. 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
4570. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. https://doi.org/10.1071/ES19035
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4572. Influence of the Atlantic Multidecadal Oscillation on South American Atmosphere Dynamics and Precipitation J. Maksic et al. https://doi.org/10.3390/atmos13111778
4573. 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
4574. 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
4575. 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
4576. 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
4577. 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
4578. 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
4579. 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
4580. 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
4581. Climate-carbon feedback tradeoff between Arctic and alpine permafrost under warming T. Bao et al. https://doi.org/10.1126/sciadv.adt8366
4582. 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
4583. 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
4584. 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
4585. Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport H. Singh et al. https://doi.org/10.1175/JCLI-D-21-0674.1
4586. 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
4587. 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
4588. Enhancing ENSO Prediction Skill by Combining Model‐Analog and Linear Inverse Models (MA‐LIM) J. Shin et al. https://doi.org/10.1029/2019GL085914
4589. 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
4590. Cropland Exposure to Extreme Dryness and Wetness in China Under Shared Socioeconomic Pathways R. Yang et al. https://doi.org/10.1002/joc.8715
4591. 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
4592. 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
4593. 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
4594. 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
4595. Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios B. Cook et al. https://doi.org/10.1029/2019EF001461
4596. Potential Impacts on Ozone and Climate From a Proposed Fleet of Supersonic Aircraft J. Zhang et al. https://doi.org/10.1029/2022EF003409
4597. 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
4598. 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
4599. 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
4600. Evaluating Cloud Feedback Components in Observations and Their Representation in Climate Models L. Chao et al. https://doi.org/10.1029/2023JD039427
4601. 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
4602. 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
4603. 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
4604. 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
4605. Projected changes in heat wave characteristics over India N. C & K. Ramesh https://doi.org/10.1007/s10584-023-03618-w
4606. 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
4607. 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
4608. 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
4609. 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
4610. 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
4611. 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
4612. Hysteresis of the El Niño–Southern Oscillation to CO 2 forcing C. Liu et al. https://doi.org/10.1126/sciadv.adh8442
4613. Expansion of Coccidioidomycosis Endemic Regions in the United States in Response to Climate Change M. Gorris et al. https://doi.org/10.1029/2019GH000209
4614. Global risk of heat stress to cattle from climate change M. North et al. https://doi.org/10.1088/1748-9326/aceb79
4615. 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
4616. 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
4617. Machine learning helps to strongly reduce future warming uncertainty C. Li et al. https://doi.org/10.1038/s41467-026-70205-9
4618. Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil B. Pereira et al. https://doi.org/10.1002/joc.7773
4619. 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
4620. 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
4621. Observed declines in leaf nitrogen explained by photosynthetic acclimation to CO 2 M. Bassiouni et al. https://doi.org/10.1073/pnas.2501958122
4622. 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
4623. Parameterized orographic gravity wave drag and dynamical effects in CMIP6 models D. Hájková & P. Šácha https://doi.org/10.1007/s00382-023-07021-0
4624. 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
4625. Accelerating increase in the duration of heatwaves under global warming C. Martinez-Villalobos et al. https://doi.org/10.1038/s41561-025-01737-w
4626. 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
4627. 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
4628. Emergent constraints on global soil moisture projections under climate change L. Yao et al. https://doi.org/10.1038/s43247-025-02024-7
4629. 气候变化下<bold>2022</bold>年长江特大骤旱的多尺度成因分析 星. 袁 et al. https://doi.org/10.1360/SSTe-2024-0007
4630. 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
4631. 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
4632. 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
4633. 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
4634. General Circulation Model Downscaling Using Interpolation—Machine Learning Model Combination—Case Study: Thailand C. Prathom & P. Champrasert https://doi.org/10.3390/su15129668
4635. 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
4636. 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
4637. Future projections of climate-driven tropical flowering phenology S. Graves et al. https://doi.org/10.1088/2515-7620/ae6d92
4638. Global warming accelerates soil heterotrophic respiration A. Nissan et al. https://doi.org/10.1038/s41467-023-38981-w
4639. Short Warm Distribution Tails Accelerate the Increase of Humid‐Heat Extremes Under Global Warming Y. Bekris et al. https://doi.org/10.1029/2022GL102164
4640. Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models J. Bock et al. https://doi.org/10.5194/bg-18-3823-2021
4641. Ocean‐Wave‐Atmosphere Interaction Processes in a Fully Coupled Modeling System L. Wu et al. https://doi.org/10.1029/2019MS001761
4642. 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
4643. Antarctic Peninsula warming triggers enhanced basal melt rates throughout West Antarctica M. Flexas et al. https://doi.org/10.1126/sciadv.abj9134
4644. 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
4645. 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
4646. 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
4647. 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
4648. 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
4649. 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
4650. 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
4651. 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
4652. 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
4653. 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
4654. 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
4655. A Statistical Method to Model Non‐stationarity in Precipitation Records Changes P. Gonzalez et al. https://doi.org/10.1029/2023GL107201
4656. 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
4657. 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
4658. 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
4659. 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
4660. Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) J. Tjiputra et al. https://doi.org/10.5194/gmd-13-2393-2020
4661. 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
4662. 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
4663. 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
4664. 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
4665. 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
4666. European supercell thunderstorms—A prevalent current threat and an increasing future hazard M. Feldmann et al. https://doi.org/10.1126/sciadv.adx0513
4667. 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
4668. 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
4669. 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
4670. 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
4671. 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
4672. 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
4673. 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
4674. 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
4675. 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
4676. Moderate global warming does not rule out extreme global climate outcomes E. Bevacqua et al. https://doi.org/10.1038/s41586-026-10237-9
4677. Climate Change Determines Future Population Exposure to Summertime Compound Dry and Hot Events G. Zhang et al. https://doi.org/10.1029/2022EF003015
4678. 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
4679. 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
4680. 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
4681. 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
4682. 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
4683. 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
4684. Increasing concurrent exposure of global breadbaskets to reproductive heat extremes H. Zhang et al. https://doi.org/10.1088/1748-9326/ad6467
4685. 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
4686. Future climate assessment in the Mediterranean region using downscaled CMIP6 data H. Daher & B. Kirtman https://doi.org/10.3389/fclim.2025.1691944
4687. Climate Classification Shifts for Future Climate Change in Portugal M. Teixeira et al. https://doi.org/10.1007/s41748-025-00826-5
4688. 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
4689. 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
4690. 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
4691. 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
4692. 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
4693. 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
4694. 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
4695. 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
4696. 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
4697. 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
4698. ENSO phase space dynamics in CMIP models P. Priya & D. Dommenget https://doi.org/10.1007/s00382-025-07752-2
4699. 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
4700. A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics T. Pugh et al. https://doi.org/10.1029/2018EF000935
4701. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. https://doi.org/10.1029/2022GL100739
4702. 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
4703. 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
4704. Divergent Representation of Precipitation Recycling in the Amazon and the Congo in CMIP6 Models J. Baker & D. Spracklen https://doi.org/10.1029/2021GL095136
4705. 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
4706. 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
4707. 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
4708. 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
4709. 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
4710. Soil moisture-induced changes in land carbon sink projections in CMIP6 L. Gabele et al. https://doi.org/10.5194/bg-23-2729-2026
4711. 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
4712. Predicting snow structures relevant to reindeer husbandry E. Perkins et al. https://doi.org/10.1080/15230430.2024.2398278
4713. 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
4714. 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
4715. Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
4716. 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
4717. 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
4718. 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
4719. 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
4720. 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
4721. 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
4722. The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. https://doi.org/10.1029/2020MS002340
4723. 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
4724. 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
4725. Shortest path length for evaluating general circulation models for rainfall simulation B. Deepthi & B. Sivakumar https://doi.org/10.1007/s00382-023-06713-x
4726. 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
4727. Emergent Constraint for Future Decline in Arctic Phytoplankton Concentration K. Noh et al. https://doi.org/10.1029/2022EF003427
4728. 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
4729. 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
4730. 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
4731. 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
4732. Observation-constrained projections reveal longer-than-expected dry spells I. Petrova et al. https://doi.org/10.1038/s41586-024-07887-y
4733. 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
4734. Review of the Observed Energy Flow in the Earth System C. Liu et al. https://doi.org/10.3390/atmos13101738
4735. 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
4736. Local conditions matter: Climate change and coffee production in Brazil W. Xiao et al. https://doi.org/10.1007/s10584-025-04037-9
4737. 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
4738. 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
4739. 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
4740. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. https://doi.org/10.1038/s41586-022-05364-y
4741. 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
4742. The changing precipitation storm properties under future climate change H. Wang et al. https://doi.org/10.2166/nh.2023.142
4743. 2023 Kenyan floods: A climatological study and future perspectives H. Kim et al. https://doi.org/10.14770/jgsk.2024.028
4744. 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
4745. 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
4746. 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
4747. An ensemble of AMIP simulations with prescribed land surface temperatures D. Ackerley et al. https://doi.org/10.5194/gmd-11-3865-2018
4748. Europe will struggle to meet the new WHO Air Quality Guidelines U. Im et al. https://doi.org/10.1038/s44407-025-00013-w
4749. 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
4750. 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
4751. Transferring climate change physical knowledge F. Immorlano et al. https://doi.org/10.1073/pnas.2413503122
4752. Perspective on the Era of Global Boiling: A Future beyond Global Warming T. Amnuaylojaroen & H. Hashiguchi https://doi.org/10.1155/2023/5580606
4753. 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
4754. 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
4755. 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
4756. 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
4757. 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
4758. Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6 S. Nowicki et al. https://doi.org/10.5194/gmd-9-4521-2016
4759. 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
4760. Causal hybrid modeling with double machine learning—applications in carbon flux modeling K. Cohrs et al. https://doi.org/10.1088/2632-2153/ad5a60
4761. A Review of Climate Change Attribution Studies P. Zhai et al. https://doi.org/10.1007/s13351-018-8041-6
4762. 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
4763. 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
4764. 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
4765. 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
4766. 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
4767. 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
4768. Climate change: causes, consequences, imperatives V. Semenov https://doi.org/10.31857/S0869587324030076
4769. 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
4770. 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
4771. 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
4772. 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
4773. Evaluation of extreme precipitation over Asia in CMIP6 models T. Dong & W. Dong https://doi.org/10.1007/s00382-021-05773-1
4774. 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
4775. 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
4776. 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
4777. Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models P. Silva et al. https://doi.org/10.1007/s00382-024-07253-8
4778. 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
4779. Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial P. Scussolini et al. https://doi.org/10.1126/sciadv.aax7047
4780. 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
4781. 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
4782. Accounting for Pacific climate variability increases projected global warming Y. Liang et al. https://doi.org/10.1038/s41558-024-02017-y
4783. 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
4784. Climate projections of meteotsunami hazards C. Denamiel et al. https://doi.org/10.3389/fmars.2023.1167863
4785. 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
4786. Anthropogenic Aerosols Offsetting Ocean Warming Less Efficiently Since the 1980s T. Sohail et al. https://doi.org/10.1029/2023GL105374
4787. Attributing daily ocean temperatures to anthropogenic climate change J. Giguere et al. https://doi.org/10.1088/2752-5295/ad4815
4788. Onshore intensification of subtropical western boundary currents in a warming climate H. Yang et al. https://doi.org/10.1038/s41558-025-02258-5
4789. 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
4790. Investigation of Fire Weather Danger under a Changing Climate at High Resolution in Greece N. Politi et al. https://doi.org/10.3390/su15032498
4791. 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
4792. 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
4793. 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
4794. 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
4795. 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
4796. 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
4797. Past aquifer responses to climate recorded by fossil groundwater A. Seltzer et al. https://doi.org/10.1126/sciadv.adu7812
4798. 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
4799. 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
4800. 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
4801. 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
4802. 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
4803. 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
4804. 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
4805. 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
4806. 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
4807. 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
4808. Diagnosing drivers of tropical precipitation biases in coupled climate model simulations M. Respati et al. https://doi.org/10.1007/s00382-024-07355-3
4809. 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
4810. 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
4811. Nile basin flow regimes under 21st century climate variability H. Elhaddad et al. https://doi.org/10.1038/s43247-025-02813-0
4812. 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
4813. 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
4814. Mechanistic insights into West African monsoon precipitation biases in CMIP6 models K. Ayegbusi et al. https://doi.org/10.1088/2752-5295/ae30f5
4815. Multivariate Drought Monitoring, Propagation, and Projection Using Bias‐Corrected General Circulation Models O. Adeyeri et al. https://doi.org/10.1029/2022EF003303
4816. 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
4817. Impact of climate change on wintertime European atmospheric blocking S. Bacer et al. https://doi.org/10.5194/wcd-3-377-2022
4818. 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
4819. Alternating Connectivity with Temporal Delays between the Pacific, Atlantic, and Indian Oceans F. Cai et al. https://doi.org/10.34133/olar.0142
4820. 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
4821. 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
4822. 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
4823. Attribution of historical extreme heat events in different climate zones of China Y. Zhang & Y. Sun https://doi.org/10.1088/1748-9326/adb2a8
4824. 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
4825. Do CMIP models capture long-term observed annual precipitation trends? S. Vicente-Serrano et al. https://doi.org/10.1007/s00382-021-06034-x
4826. Weathering Tomorrow: Climate Analogues and Adaptation Gaps in Europe A. Fouejieu et al. https://doi.org/10.5325/jdevepers.5.1-2.0081
4827. Spatially resolved emulated annual temperature projections for overshoot pathways J. Schwaab et al. https://doi.org/10.1038/s41597-024-04122-1
4828. Svalbard’s 2024 record summer: An early view of Arctic glacier meltdown? T. Schuler et al. https://doi.org/10.1073/pnas.2503806122
4829. Cryosphere Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Brugger et al. https://doi.org/10.1029/2021EA002111
4830. Comparison of CMIP6 and CMIP5 models in simulating climate extremes H. Chen et al. https://doi.org/10.1016/j.scib.2020.05.015
4831. 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
4832. Hemispherically asymmetric Hadley cell response to CO 2 removal S. Kim et al. https://doi.org/10.1126/sciadv.adg1801
4833. 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
4834. 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
4835. 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
4836. 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
4837. Projected distributions of Mongolian rangeland vegetation under future climate conditions K. Suzuki et al. https://doi.org/10.1093/jpe/rtae028
4838. 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
4839. 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
4840. Causal inference for time series J. Runge et al. https://doi.org/10.1038/s43017-023-00431-y
4841. 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
4842. 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
4843. Geolocated fish spawning habitats K. Oremus et al. https://doi.org/10.1038/s41597-024-03348-3
4844. 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
4845. 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
4846. Sensitivity of winter Arctic amplification in NorESM2 L. Seland Graff et al. https://doi.org/10.5194/esd-16-1671-2025
4847. Neural general circulation models for modeling precipitation J. Yuval et al. https://doi.org/10.1126/sciadv.adv6891
4848. 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
4849. Attributing the recent weakening of the South Asian subtropical westerlies P. Upadhyaya et al. https://doi.org/10.1038/s41612-024-00777-0
4850. The American monsoon system in HadGEM3 and UKESM1 J. García-Franco et al. https://doi.org/10.5194/wcd-1-349-2020
4851. 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
4852. 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
4853. 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
4854. 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
4855. 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
4856. 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
4857. 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
4858. 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
4859. 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
4860. 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
4861. 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
4862. The Groundwater Management in the Mexico Megacity Peri-Urban Interface K. Ríos-Sánchez et al. https://doi.org/10.3390/su16114801
4863. 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
4864. 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
4865. Reducing global air pollution: the scope for further policy interventions M. Amann et al. https://doi.org/10.1098/rsta.2019.0331
4866. 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
4867. 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
4868. Detection, attribution, and modeling of climate change: Key open issues N. Scafetta https://doi.org/10.1016/j.gr.2025.05.001
4869. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. https://doi.org/10.1029/2020GL088295
4870. 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
4871. The interaction of ice and law in Arctic marine accessibility A. Lynch et al. https://doi.org/10.1073/pnas.2202720119
4872. ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets Y. Kawakami et al. https://doi.org/10.1109/TVCG.2025.3634788
4873. 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
4874. Global warming amplifies wildfire health burden and reshapes inequality J. Zhao et al. https://doi.org/10.1038/s41586-025-09612-9
4875. 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
4876. Sensitivity of projected Afro-Asian monsoon precipitation to solar radiation management T. Adeliyi & A. Akinsanola https://doi.org/10.1016/j.scitotenv.2026.181634
4877. Enhanced Asian warming increases Arctic amplification Y. Xie et al. https://doi.org/10.1088/1748-9326/acbdb1
4878. 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
4879. Does CMIP6 inspire more confidence in projecting precipitation over China? J. Tian et al. https://doi.org/10.1002/joc.8127
4880. 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
4881. Increased global subseasonal whiplash by future BSISO behavior T. Cheng et al. https://doi.org/10.1126/sciadv.adv6355
4882. 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
4883. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. https://doi.org/10.1029/2020GL088063
4884. 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
4885. 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
4886. 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
4887. Tropical Deep Convection, Cloud Feedbacks and Climate Sensitivity G. Stephens et al. https://doi.org/10.1007/s10712-024-09831-1
4888. 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
4889. Climate data selection for multi-decadal wind power forecasts S. Morelli et al. https://doi.org/10.1088/1748-9326/adc01f
4890. Estimating Carbon Sink Strength of Norway Spruce Forests Using Machine Learning J. Zhao et al. https://doi.org/10.3390/f13101721
4891. 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
4892. 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
4893. 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
4894. 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
4895. Technological improvements in EV batteries offset climate-induced durability challenges H. Wu et al. https://doi.org/10.1038/s41558-026-02579-z
4896. 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
4897. 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
4898. 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
4899. 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
4900. Decadal-scale variability and warming affect spring timing and forest growth across the western Great Lakes region M. McPartland https://doi.org/10.1007/s00484-023-02616-y
4901. Climate model evaluation studies in Ethiopia: a systematic review D. Olana & D. Gemeda https://doi.org/10.1007/s00704-025-05588-8
4902. Shine a light: Under-ice light and its ecological implications in a changing Arctic Ocean G. Castellani et al. https://doi.org/10.1007/s13280-021-01662-3
4903. Long-term climate warming substantially reduces global soil microbial richness P. Dang et al. https://doi.org/10.1016/j.oneear.2025.101511
4904. Summer Extreme Rainfall Over the Middle and Lower Reaches of Yangtze River: Role of Synoptic Patterns in Historical Changes and Future Projections Y. Hu et al. https://doi.org/10.1029/2023JD039608
4905. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. https://doi.org/10.3390/rs10091326
4906. Terrestrial Net Ecosystem Productivity in China during 1900–2100 J. Liu et al. https://doi.org/10.34133/ehs.0139
4907. On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms A. Archibald et al. https://doi.org/10.1098/rsta.2019.0329
4908. Hydrologic and Agricultural Earth Observations and Modeling for the Water-Food Nexus A. McNally et al. https://doi.org/10.3389/fenvs.2019.00023
4909. Assessing Tropical Cyclones’ Contribution to Precipitation over the Eastern United States and Sensitivity to the Variable-Resolution Domain Extent A. Stansfield et al. https://doi.org/10.1175/JHM-D-19-0240.1
4910. Reconciling Roles of External Forcing and Internal Variability in Indian Ocean Decadal Variability Since 1920 W. Hua et al. https://doi.org/10.1029/2021GL097198
4911. Historical model biases in monthly high temperature anomalies indicate under-estimation of future temperature extremes L. Duan et al. https://doi.org/10.1038/s43247-025-02579-5
4912. The jump in global temperatures in September 2023 is extremely unlikely due to internal climate variability alone M. Rantanen & A. Laaksonen https://doi.org/10.1038/s41612-024-00582-9
4913. Large diversity in AMOC internal variability across NEMO-based climate models A. Zhao et al. https://doi.org/10.1007/s00382-023-07069-y
4914. 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
4915. ENSO teleconnections with the NAE sector during December in CMIP5/CMIP6 models: impacts of the atmospheric mean state D. Sabatani & S. Gualdi https://doi.org/10.1038/s41612-025-01064-2
4916. Carbon–nitrogen interactions in idealized simulations with JSBACH (version 3.10) D. Goll et al. https://doi.org/10.5194/gmd-10-2009-2017
4917. Earlier emergence of a temperature response to mitigation by filtering annual variability B. Samset et al. https://doi.org/10.1038/s41467-022-29247-y
4918. Time- and depth-resolved mechanistic assessment of water stress in Australian ecosystems under the CMIP6 scenarios M. Guglielmo et al. https://doi.org/10.1016/j.advwatres.2020.103837
4919. Impact of Internal Climate Variability on Wintertime Surface Air Temperature Trends Over Eurasia in the CESM1 Large Ensemble H. Gong et al. https://doi.org/10.1029/2021JD035340
4920. Global marine heatwave events using the new CMIP6 multi-model ensemble: from shortcomings in present climate to future projections S. Plecha & P. Soares https://doi.org/10.1088/1748-9326/abc847
4921. Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate J. Xiong et al. https://doi.org/10.5194/hess-28-1873-2024
4922. Weakened western Indian Ocean dominance on Antarctic sea ice variability in a changing climate L. Zhang et al. https://doi.org/10.1038/s41467-024-47655-0
4923. Spatial suitability assessment of restored vegetation and sustainable restoration strategies in China J. Nan et al. https://doi.org/10.1016/j.geosus.2026.100449
4924. Human heat stress could offset potential economic benefits of CO2 fertilization in crop production under a high-emissions scenario A. Orlov et al. https://doi.org/10.1016/j.oneear.2024.06.012
4925. A Process‐Oriented Diagnostic to Assess Precipitation‐Thermodynamic Relations and Application to CMIP6 Models F. Ahmed & J. Neelin https://doi.org/10.1029/2021GL094108
4926. Mechanisms and seasonal predictability of sea surface temperature in the Senegalo-Mauritanian Upwelling System A. Sylla et al. https://doi.org/10.1007/s00382-026-08121-3
4927. Extreme temperature indices in Eurasia in a CMIP6 multi‐model ensemble: Evaluation and projection Y. Zhao et al. https://doi.org/10.1002/joc.7134
4928. Multiphase processes in the EC-Earth model and their relevance to the atmospheric oxalate, sulfate, and iron cycles S. Myriokefalitakis et al. https://doi.org/10.5194/gmd-15-3079-2022
4929. Twenty-first century drought analysis across China under climate change G. Zhang et al. https://doi.org/10.1007/s00382-021-06064-5
4930. Calibrating the simulated summer precipitation trend over the southern slope of the Tibetan Plateau in CMIP6 models using a sub-selection method H. Luo et al. https://doi.org/10.1016/j.accre.2025.01.005
4931. The seas around China in a warming climate F. Wang et al. https://doi.org/10.1038/s43017-023-00453-6
4932. The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater R. Reinecke et al. https://doi.org/10.5194/gmd-19-523-2026
4933. Projected changes in pyrocumulonimbus (pyroCb) occurrence probability under future climate scenarios over temperate southeast Australia W. Ma et al. https://doi.org/10.1088/1748-9326/ae7131
4934. Climatic Warming and Humidification in the Arid Region of Northwest China: Multi-Scale Characteristics and Impacts on Ecological Vegetation Q. Zhang et al. https://doi.org/10.1007/s13351-021-0105-3
4935. Climate pacing of millennial sea-level change variability in the central and western Mediterranean M. Vacchi et al. https://doi.org/10.1038/s41467-021-24250-1
4936. A Framework for Quantifying the Robustness and Uncertainty of Drought Projections S. Zhang et al. https://doi.org/10.1002/joc.70019
4937. Observationally constrained global warming hysteresis under CO2 removal S. Song et al. https://doi.org/10.1038/s43247-026-03484-1
4938. Assessment and Prediction of Future Climate Change in the Kaidu River Basin of Xinjiang under Shared Socioeconomic Pathway Scenarios C. Cao et al. https://doi.org/10.3390/atmos15020208
4939. Probabilistic projections of future warming and climate sensitivity trajectories P. Goodwin https://doi.org/10.1093/oxfclm/kgab007
4940. Understanding hydrological regimes in the Krong No River under climate change scenarios and Boun Tua Srah hydropower operation H. Nguyen et al. https://doi.org/10.2166/nh.2025.048
4941. 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
4942. 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
4943. 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
4944. 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
4945. Simulation of modern and future climate by INM-CM6M A. Gritsun et al. https://doi.org/10.1515/rnam-2024-0028
4946. Future changes in compound explosive cyclones and atmospheric rivers in the North Atlantic F. Lopez-Marti et al. https://doi.org/10.5194/esd-16-169-2025
4947. Escalating socioeconomic exposure to extreme heat in China: A CMIP6-based analysis of future heatwaves across regions and scenarios S. Zou et al. https://doi.org/10.1016/j.geosus.2025.100374
4948. 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
4949. 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
4950. 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
4951. Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques S. Velivelli et al. https://doi.org/10.1007/s00704-024-05146-8
4952. Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States Z. Feng et al. https://doi.org/10.1175/JCLI-D-20-0136.1
4953. CMIP6 Evaluation and Projection of Temperature and Precipitation over China X. Yang et al. https://doi.org/10.1007/s00376-021-0351-4
4954. Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling V. Sharma et al. https://doi.org/10.5194/gmd-16-719-2023
4955. Future changes in daily snowfall events over China based on CMIP6 models H. Chen & J. Sun https://doi.org/10.1016/j.aosl.2021.100137
4956. 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
4957. Argo—Two Decades: Global Oceanography, Revolutionized G. Johnson et al. https://doi.org/10.1146/annurev-marine-022521-102008
4958. East Asian aerosol cleanup has likely contributed to the recent acceleration in global warming B. Samset et al. https://doi.org/10.1038/s43247-025-02527-3
4959. Projected changes in sea level seasonal cycle alter global coastal flood hazards Y. Qu et al. https://doi.org/10.1088/1748-9326/ae3b57
4960. 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
4961. Emergent constraint on oxygenation of the upper South Eastern Pacific oxygen minimum zone in the twenty-first century I. Almendra et al. https://doi.org/10.1038/s43247-024-01427-2
4962. 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
4963. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. https://doi.org/10.3390/agronomy13082185
4964. Evapotranspiration and water requirement changes of main crops under climate change conditions in a semi-arid region A. Hakami-Kermani & H. Babazadeh https://doi.org/10.1007/s13201-025-02696-8
4965. Variable 21st Century Climate Change Response for Rivers in High Mountain Asia at Seasonal to Decadal Time Scales S. Khanal et al. https://doi.org/10.1029/2020WR029266
4966. 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
4967. Pacific Decadal Oscillation modulates the Arctic sea-ice loss influence on the midlatitude atmospheric circulation in winter A. Simon et al. https://doi.org/10.5194/wcd-3-845-2022
4968. Meteoritic materials within sulfate aerosol particles in the troposphere are detected with transmission electron microscopy K. Adachi et al. https://doi.org/10.1038/s43247-022-00469-8
4969. Decreasing Wintertime Mixed‐Layer Depth in the Northwestern North Pacific Subtropical Gyre S. Sugimoto https://doi.org/10.1029/2021GL095091
4970. UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. https://doi.org/10.1029/2019MS001739
4971. Multi-model ensemble of statistically downscaled GCMs over southeastern South America: historical evaluation and future projections of daily precipitation with focus on extremes O. ME et al. https://doi.org/10.1007/s00382-022-06236-x
4972. Predicting the potential risk of Caragana shrub encroachment in the Eurasian steppe under anthropogenic climate change Y. Tu et al. https://doi.org/10.1016/j.scitotenv.2024.173925
4973. Physical processes of summer extreme rainfall interannual variability in Eastern China—part II: evaluation of CMIP6 models N. Freychet et al. https://doi.org/10.1007/s00382-022-06137-z
4974. Radiative–convective equilibrium model intercomparison project A. Wing et al. https://doi.org/10.5194/gmd-11-793-2018
4975. Bridging idealized and operational models: an explainable AI framework for Earth system emulators P. Behnoudfar et al. https://doi.org/10.1038/s41612-026-01334-7
4976. 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
4977. 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
4978. 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
4979. Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. https://doi.org/10.1029/2022MS003128
4980. 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
4981. 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
4982. 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
4983. Alternative dynamic regimes of marine biogeochemical models in perturbed environments G. Occhipinti et al. https://doi.org/10.5194/bg-23-2003-2026
4984. Modification and Validation of the Soil–Snow Module in the INM RAS Climate Model A. Chernenkov et al. https://doi.org/10.3390/atmos15040422
4985. 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
4986. 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
4987. 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
4988. 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
4989. 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
4990. 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
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5079. 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
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5098. High-resolution downscaled CMIP6 drought projections for Australia R. Eccles et al. https://doi.org/10.5194/hess-29-4689-2025
5099. 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
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5110. 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
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5113. 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
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5115. 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
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5119. 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
5120. 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
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5123. 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
5124. 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
5125. 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
5126. 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
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5133. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
5134. 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
5135. Understanding human influence on climate change in China Y. Sun et al. https://doi.org/10.1093/nsr/nwab113
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5137. Organising a collaborative online hackathon for cutting‐edge climate research J. Thomas et al. https://doi.org/10.1002/wea.4199
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5143. Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation Z. Khan et al. https://doi.org/10.3389/fenvs.2022.918085
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5145. 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
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5152. 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
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5155. Climate change will limit the potential for intensification in Senegal A. Mbengue et al. https://doi.org/10.1088/2515-7620/ae59f4
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5157. Clouds and Convective Self‐Aggregation in a Multimodel Ensemble of Radiative‐Convective Equilibrium Simulations A. Wing et al. https://doi.org/10.1029/2020MS002138
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5159. 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
5160. Atlantic Meridional Overturning Circulation Decline: Tipping Small Scales under Global Warming R. Gou et al. https://doi.org/10.1103/PhysRevLett.133.034201
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5162. 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
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5164. 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
5165. 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
5166. Disentangling the North Pacific Meridional Mode from tropical Pacific variability I. Richter et al. https://doi.org/10.1038/s41612-022-00317-8
5167. 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
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5172. 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
5173. 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
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5175. Potential for equation discovery with AI in the climate sciences C. Huntingford et al. https://doi.org/10.5194/esd-16-475-2025
5176. Climate projections for Himalaya–Tibetan Highland D. Bhuyan et al. https://doi.org/10.1007/s00704-023-04677-w
5177. 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
5178. 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
5179. 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
5180. Long-term changes in depth distribution and phenology of four North Atlantic plankton species J. Castant et al. https://doi.org/10.3354/meps14945
5181. Ocean Warming: From the Surface to the Deep in Observations and Models P. Durack et al. https://doi.org/10.5670/oceanog.2018.227
5182. 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
5183. Spatial and Temporal Analysis of Climatic Zones in Kazakhstan Using Google Earth Engine K. Yessimkhanova & M. Gede https://doi.org/10.3390/ijgi15020057
5184. Global water use efficiency saturation due to increased vapor pressure deficit F. Li et al. https://doi.org/10.1126/science.adf5041
5185. 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
5186. 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
5187. Making climate projections conditional on historical observations A. Ribes et al. https://doi.org/10.1126/sciadv.abc0671
5188. Persistence and Variability of Earth’s Interhemispheric Albedo Symmetry in 19 Years of CERES EBAF Observations https://doi.org/10.1175/JCLI-D-20-0970.1
5189. Attribution of the unprecedented summer 2022 compound marine and terrestrial heatwave in the Northwest Pacific Q. Chen et al. https://doi.org/10.1088/1748-9326/ad5ab0
5190. Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong M. Li et al. https://doi.org/10.1071/SR24078
5191. CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century K. Wang et al. https://doi.org/10.3390/atmos15040434
5192. 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
5193. 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
5194. 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
5195. Realistic Quasi‐Biennial Oscillation Variability in Historical and Decadal Hindcast Simulations Using CMIP6 Forcing H. Pohlmann et al. https://doi.org/10.1029/2019GL084878
5196. Evolution of the Lower Barun lake and its exposure to potential mass movement slopes in the Nepal Himalaya P. Gantayat et al. https://doi.org/10.1016/j.scitotenv.2024.175028
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5198. Skill of CMIP6 decadal climate predictions at the subregional scale V. Todaro et al. https://doi.org/10.1007/s00477-026-03218-x
5199. Downscaled climate change threats to United States freshwater finfish aquaculture C. Fong et al. https://doi.org/10.1016/j.scitotenv.2024.177596
5200. Elevation-dependent warming: observations, models, and energetic mechanisms M. Byrne et al. https://doi.org/10.5194/wcd-5-763-2024
5201. Adaptive Graph Spatial-Temporal Attention Networks for long lead ENSO prediction C. Liang et al. https://doi.org/10.1016/j.eswa.2024.124492
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5203. Evaluation of CMIP6 models in the representation of observed extreme temperature indices trends in South America S. Collazo et al. https://doi.org/10.1007/s10584-022-03376-1
5204. Current and future adaptation potential of heat-tolerant maize in Cameroon: a combined attribution and adaptation study L. Jansen et al. https://doi.org/10.1088/1748-9326/ada459
5205. A review of the El Niño-Southern Oscillation in future O. Alizadeh https://doi.org/10.1016/j.earscirev.2022.104246
5206. Climate change would lead to a sharp acceleration of Central African forests dynamics by the end of the century F. Claeys et al. https://doi.org/10.1088/1748-9326/aafb81
5207. What could we learn about climate sensitivity from variability in the surface temperature record? J. Annan et al. https://doi.org/10.5194/esd-11-709-2020
5208. 陆气耦合加剧未来昼夜同步极端高温风险 楷. 张 et al. https://doi.org/10.1360/SSTe-2024-0245
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5210. The Seasonal and Regional Transition to an Ice‐Free Arctic M. Årthun et al. https://doi.org/10.1029/2020GL090825
5211. Flow dependence of wintertime subseasonal prediction skill over Europe C. Ardilouze et al. https://doi.org/10.5194/wcd-2-1033-2021
5212. 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
5213. 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
5214. 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
5215. 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
5216. Large global-scale vegetation sensitivity to daily rainfall variability A. Feldman et al. https://doi.org/10.1038/s41586-024-08232-z
5217. H11 meltwater and standard 127 ka Last Interglacial simulations suggest more modest peak temperatures for both Greenland and Antarctica: a multi-model study of water isotopes L. Sime et al. https://doi.org/10.5194/cp-21-1725-2025
5218. 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
5219. Internal Variability of All‐Sky and Clear‐Sky Surface Solar Radiation on Decadal Timescales B. Chtirkova et al. https://doi.org/10.1029/2021JD036332
5220. Detecting climate milestones on the path to climate stabilization A. MacDougall et al. https://doi.org/10.1088/1748-9326/ad5ab1
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5222. Climate change and wind energy potential in South America A. Martinez & G. Iglesias https://doi.org/10.1016/j.scitotenv.2024.177675
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5225. Biophysical impacts of northern vegetation changes on seasonal warming patterns X. Lian et al. https://doi.org/10.1038/s41467-022-31671-z
5226. Machine learning based reduced-order models to predict spatiotemporal dynamics of soil carbon and biomass yield of different bioenergy crops S. Gautam et al. https://doi.org/10.1016/j.ccst.2025.100440
5227. Atmospheric Circulation Constraints on 21st Century Seasonal Precipitation Storylines for the Southwestern United States K. Grise https://doi.org/10.1029/2022GL099443
5228. Projected changes in surface air temperature over Pakistan under bias-constrained CMIP6 models R. Karim et al. https://doi.org/10.1007/s12517-023-11243-1
5229. Tropical Precipitation Woes in the Community Earth System Model Version 2 M. Lofverstrom & J. Zhu https://doi.org/10.1029/2023GL104416
5230. Impacts of climate change and best management practices on nitrate loading to a eutrophic coastal lagoon A. Oliver et al. https://doi.org/10.3389/fenvs.2024.1468869
5231. Downscaling CESM2 in CLM5 to Hindcast Preindustrial Equilibrium Line Altitudes for Tropical Mountain Glaciers N. Heavens https://doi.org/10.1029/2021GL094071
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5233. Antarctic meltwater-induced dynamical changes in phytoplankton in the Southern Ocean J. Oh et al. https://doi.org/10.1088/1748-9326/ac444e
5234. High‐resolution CMIP6 analysis highlights emerging climate challenges in alpine and Tibetan Tundra zones B. Fallah et al. https://doi.org/10.1002/met.70001
5235. Identical hierarchy of physical drought types for climate change signals and uncertainty P. Hosseinzadehtalaei et al. https://doi.org/10.1016/j.wace.2023.100573
5236. 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
5237. 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
5238. Stable Equatorial Ice Belts at High Obliquity in a Coupled Atmosphere–Ocean Model C. Kilic et al. https://doi.org/10.3847/1538-4357/aad5eb
5239. The Role of Anthropogenic Climate Change on March–April–May (MAM) Drought Trends Across Global Land H. Yohannes et al. https://doi.org/10.1002/joc.8776
5240. 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
5241. Widespread Grounding Line Retreat of Totten Glacier, East Antarctica, Over the 21st Century T. Pelle et al. https://doi.org/10.1029/2021GL093213
5242. 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
5243. 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
5244. Persistence of North Atlantic ocean heat uptake following CO2 concentration maximum Y. Zhang & C. Chen https://doi.org/10.1007/s00382-024-07397-7
5245. 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
5246. 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
5247. 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
5248. The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al. https://doi.org/10.5194/gmd-19-2821-2026
5249. Varied midlatitude shortwave cloud radiative responses to Southern Hemisphere circulation shifts M. Kelleher & K. Grise https://doi.org/10.1002/asl.1068
5250. Temperature Thresholds for Carbon Flux Variation and Warming‐Induced Changes C. Fu et al. https://doi.org/10.1029/2023JD039747
5251. Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. https://doi.org/10.1029/2021EF002487
5252. 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
5253. 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
5254. 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
5255. Marine ecosystem role in setting up preindustrial and future climate J. Tjiputra et al. https://doi.org/10.1038/s41467-025-57371-y
5256. 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
5257. Modulations in the Indian Summer Monsoon–ENSO teleconnections by the North Tropical Atlantic K. Sooraj et al. https://doi.org/10.1007/s00382-023-06817-4
5258. 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
5259. Influence of model resolution on bomb cyclones revealed by HighResMIP-PRIMAVERA simulations G. Jiaxiang et al. https://doi.org/10.1088/1748-9326/ab88fa
5260. Projecting Future Vegetation Change for Northeast China Using CMIP6 Model W. Yuan et al. https://doi.org/10.3390/rs13173531
5261. 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
5262. Sea Ice Formation in a Coupled Climate Model Including Grease Ice S. Mackie et al. https://doi.org/10.1029/2020MS002103
5263. 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
5264. 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
5265. Hysteresis of the intertropical convergence zone to CO2 forcing J. Kug et al. https://doi.org/10.1038/s41558-021-01211-6
5266. 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
5267. 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
5268. Human Influence on Global-Scale Climate Change Y. KOSAKA https://doi.org/10.5363/tits.27.1_66
5269. 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
5270. 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
5271. Future changes in aridity in the Upper Indus Basin during the twenty-first century X. Wang et al. https://doi.org/10.3354/cr01684
5272. 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
5273. Constraining extreme precipitation projections using past precipitation variability W. Zhang et al. https://doi.org/10.1038/s41467-022-34006-0
5274. 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
5275. 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
5276. 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
5277. 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
5278. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein https://doi.org/10.1029/2023GL105795
5279. 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
5280. 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
5281. 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
5282. 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
5283. 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
5284. 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
5285. 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
5286. Environmental records from coral skeletons: A decade of novel insights and innovation D. Thompson https://doi.org/10.1002/wcc.745
5287. 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
5288. Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model M. Brennan et al. https://doi.org/10.1029/2022GL101656
5289. 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
5290. 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
5291. 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
5292. 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
5293. 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
5294. Revised estimates of temperature changes under net zero CO2 emissions A. Borowiak et al. https://doi.org/10.1038/s41612-025-01148-z
5295. 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
5296. 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
5297. 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
5298. 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
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5538. 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
5539. Contemporary decline in northern Indian Ocean primary production offset by rising atmospheric nitrogen deposition M. Malsang et al. https://doi.org/10.3389/fmars.2024.1418634
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5542. Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. https://doi.org/10.5194/wcd-5-895-2024
5543. 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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5550. Biases and improvements of the ENSO-East Asian winter monsoon teleconnection in CMIP5 and CMIP6 models W. Jiang et al. https://doi.org/10.1007/s00382-022-06220-5
5551. Response of damaging Philippines tropical cyclones to a warming climate using the pseudo global warming approach R. Delfino et al. https://doi.org/10.1007/s00382-023-06742-6
5552. Climate change impacts on potential evapotranspiration and crop water demand in the Tana Subbasin, upper blue Nile Basin, Ethiopia H. Eshetie et al. https://doi.org/10.2166/wcc.2026.023
5553. Impact of climate change on coastal water quality and its interaction with pollution prevention efforts J. Xiong et al. https://doi.org/10.1016/j.jenvman.2022.116557
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5557. Record-breaking summer rainfall in the Asia–Pacific region attributed to the strongest Asian westerly jet related to aerosol reduction during COVID-19 X. An et al. https://doi.org/10.1088/1748-9326/acdd84
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5559. Adaptation analysis and fusion correction method of CMIP6 precipitation simulation data on the Qinghai-Tibetan Plateau H. Peng et al. https://doi.org/10.1007/s11629-023-8223-2
5560. A 481-meter-high landslide-tsunami in a cruise ship–frequented Alaska fjord D. Shugar et al. https://doi.org/10.1126/science.aec3187
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5562. 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
5563. Symmetric and asymmetric response of Indian Summer Monsoon rainfall to different ENSO decay phases in observations and CMIP6 models J. Chowdary et al. https://doi.org/10.1016/j.gloplacha.2022.104000
5564. Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes Y. Wang et al. https://doi.org/10.1007/s00376-024-3288-6
5565. Interdecadal Pacific oscillation phase dominants near-term global monsoon precipitation changes J. Jiang & T. Zhou https://doi.org/10.1088/1748-9326/add1f8
5566. Frequent land-ocean transboundary migration of tropical heatwaves under climate change X. Gu et al. https://doi.org/10.1038/s41467-025-58586-9
5567. Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy K. Tokarska et al. https://doi.org/10.1038/s41561-019-0493-5
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5569. Human‐Induced Rainfall Reduction in Drought‐Prone Northern Central Asia J. Jiang & T. Zhou https://doi.org/10.1029/2020GL092156
5570. Brazil seed transfer zones: Supporting seed sourcing for climate‐resilient ecosystem restoration M. Silva et al. https://doi.org/10.1002/ppp3.70217
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5573. 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
5574. How explosive volcanic eruptions reshape daily precipitation distributions S. Paik et al. https://doi.org/10.1016/j.wace.2022.100489
5575. 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
5576. Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks Y. Ye et al. https://doi.org/10.1038/s41612-024-00886-w
5577. Mapping current and future coffee suitability in Peru under climate change: implications for restoration and deforestation-free development J. Zabaleta-Santisteban et al. https://doi.org/10.3389/fenvs.2026.1777634
5578. Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia L. Tian et al. https://doi.org/10.3390/ani14071124
5579. 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
5580. 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
5581. FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration N. Leach et al. https://doi.org/10.5194/gmd-14-3007-2021
5582. 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
5583. 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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5586. Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements P. Arias et al. https://doi.org/10.17533/udea.redin.20210525
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5588. 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
5589. 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
5590. 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
5591. Interhemispheric Contrasts of Ocean Heat Content Change Reveals Distinct Fingerprints of Anthropogenic Climate Forcings J. Shi et al. https://doi.org/10.1029/2023GL102741
5592. 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
5593. 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
5594. 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
5595. Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century A. Arshad et al. https://doi.org/10.1016/j.ejrh.2025.102552
5596. Anthropogenic aerosols override greenhouse gases in Sahel climate change H. Nnamchi & S. Fiedler https://doi.org/10.1038/s43247-026-03474-3
5597. Tropical Variability Simulated in ICON‐A With a Spectral Cumulus Parameterization Y. Baba & M. Giorgetta https://doi.org/10.1029/2019MS001732
5598. 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
5599. Entrainment and the tropical tropospheric thermal structure in global climate models L. Palmer & M. Singh https://doi.org/10.5194/wcd-6-1565-2025
5600. Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala P. Rivera https://doi.org/10.1007/s41748-022-00333-x
5601. Integrating a hybrid machine learning model with climate projections for landslide susceptibility assessment M. Tumon et al. https://doi.org/10.1016/j.rineng.2025.108067
5602. 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
5603. 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
5604. Drivers and mechanisms contributing to excess warming in Europe during recent decades B. Dong & R. Sutton https://doi.org/10.1038/s41612-025-00930-3
5605. 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
5606. 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
5607. 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
5608. 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
5609. 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
5610. pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. https://doi.org/10.12688/openreseurope.13633.2
5611. 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
5612. 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
5613. 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
5614. 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
5615. 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
5616. 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
5617. 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
5618. Teleconnection Patterns of Different El Niño Types Revealed by Climate Network Curvature F. Strnad et al. https://doi.org/10.1029/2022GL098571
5619. Human influence on the 2021 British Columbia floods N. Gillett et al. https://doi.org/10.1016/j.wace.2022.100441
5620. The welfare properties of climate targets L. Coppens & F. Venmans https://doi.org/10.1016/j.ecolecon.2024.108424
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5622. Projected Urban Air Pollution in Riyadh Using CMIP6 and Bayesian Modeling K. Faqeih et al. https://doi.org/10.3390/su17146288
5623. 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
5624. 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
5625. The global energy balance as represented in CMIP6 climate models M. Wild https://doi.org/10.1007/s00382-020-05282-7
5626. 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
5627. 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
5628. 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
5629. Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al. https://doi.org/10.1038/s41612-025-00922-3
5630. A stochastic model of future extreme temperature events for infrastructure analysis D. Villa et al. https://doi.org/10.1016/j.envsoft.2023.105663
5631. Different photovoltaic power potential variations in East and West China X. Chen et al. https://doi.org/10.1016/j.apenergy.2023.121846
5632. 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
5633. Global Bias-Corrected CORDEX Datasets at Half Degree Resolution F. Yakubu et al. https://doi.org/10.1038/s41597-025-06200-4
5634. Addressing uncertainty when projecting marine species' distributions under climate change S. Davies et al. https://doi.org/10.1111/ecog.06731
5635. 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
5636. 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
5637. Evaluation of CMIP6 historical simulations over IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s44274-023-00012-2
5638. 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
5639. Constraining CMIP6 sea ice simulations with ICESat-2 A. Petty et al. https://doi.org/10.5194/gmd-18-6313-2025
5640. 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
5641. 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
5642. 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
5643. 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
5644. 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
5645. 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
5646. 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
5647. 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
5648. 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
5649. 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
5650. Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa A. Michalek et al. https://doi.org/10.1029/2022WR034166
5651. 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
5652. A Large Ensemble Global Dataset for Climate Impact Assessments X. Gao et al. https://doi.org/10.1038/s41597-023-02708-9
5653. 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
5654. Communicating future sea-level rise uncertainty and ambiguity to assessment users R. Kopp et al. https://doi.org/10.1038/s41558-023-01691-8
5655. 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
5656. 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
5657. The DARA-PROBA3 radiometer: results from the pre-flight calibration campaign J. Montillet et al. https://doi.org/10.1088/1681-7575/ae6342
5658. Warming-induced soil moisture stress threatens food security in India R. Kashyap & J. Kuttippurath https://doi.org/10.1007/s11356-024-35107-7
5659. 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
5660. 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
5661. 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
5662. 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
5663. Nonlinear El Niño impacts on the global economy under climate change Y. Liu et al. https://doi.org/10.1038/s41467-023-41551-9
5664. 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
5665. Substantial regional climate change expected following cessation of CO2 emissions A. MacDougall et al. https://doi.org/10.1088/1748-9326/ac9f59
5666. The convolutional neural network for Pacific decadal oscillation forecast N. Skanupong et al. https://doi.org/10.1088/1748-9326/ad8be2
5667. 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
5668. 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
5669. Increased resolution can reduce model biases in the Interdecadal Pacific Oscillation B. Pang et al. https://doi.org/10.1088/1748-9326/ade45a
5670. Eccentric orbits may enhance the habitability of Earth-like exoplanets B. Liu et al. https://doi.org/10.1093/mnras/stae1758
5671. 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
5672. 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
5673. 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
5674. 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
5675. 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
5676. 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
5677. 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
5678. Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. https://doi.org/10.1029/2023EF003741
5679. 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
5680. 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
5681. 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
5682. 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
5683. 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
5684. 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
5685. Asian monsoon projection with a new large-scale monsoon definition X. Dai et al. https://doi.org/10.1007/s00704-021-03866-9
5686. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
5687. Human-induced climate change has decreased wheat production in northern Kazakhstan P. Romanovska et al. https://doi.org/10.1088/2752-5295/ad53f7
5688. 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
5689. 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
5690. 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
5691. 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
5692. 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
5693. 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
5694. 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
5695. Rejoinder to the discussion on “A combined estimate of global temperature” P. Craigmile & P. Guttorp https://doi.org/10.1002/env.2725
5696. 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
5697. 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
5698. 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
5699. 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
5700. 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
5701. 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
5702. The disappearing quasi-biennial oscillation under sustained global warming F. Luo et al. https://doi.org/10.1038/s41467-026-68922-2
5703. 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
5704. The generation of gridded emissions data for CMIP6 L. Feng et al. https://doi.org/10.5194/gmd-13-461-2020
5705. 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
5706. 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
5707. 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
5708. 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
5709. 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
5710. 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
5711. 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
5712. Anthropogenic impacts on twentieth-century ENSO variability changes W. Cai et al. https://doi.org/10.1038/s43017-023-00427-8
5713. Projections of an ice-free Arctic Ocean A. Jahn et al. https://doi.org/10.1038/s43017-023-00515-9
5714. 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
5715. Predicting climate-driven distribution shifts in Hyalomma marginatum (Ixodidae) O. Hekimoglu et al. https://doi.org/10.1017/S0031182023000689
5716. 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
5717. 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
5718. 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
5719. Climate change impacts on photovoltaic solar energy production in Portugal D. Carvalho et al. https://doi.org/10.1016/j.egycc.2026.100235
5720. 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
5721. 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
5722. Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al. https://doi.org/10.1029/2019JD032321
5723. 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
5724. 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
5725. 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
5726. 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
5727. Fire carbon emissions over Equatorial Asia reduced by shortened dry seasons S. Wang et al. https://doi.org/10.1038/s41612-023-00455-7
5728. 2024 global temperature record is consistent with model-predicted warming M. Mann et al. https://doi.org/10.1073/pnas.2600021123
5729. 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
5730. 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
5731. Towards improved and more routine Earth system model evaluation in CMIP V. Eyring et al. https://doi.org/10.5194/esd-7-813-2016
5732. 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
5733. 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
5734. 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
5735. 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
5736. 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
5737. 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
5738. 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
5739. 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
5740. Dependence of Europe's most threatened mammals on movement to adapt to climate change D. Alagador https://doi.org/10.1111/cobi.14315
5741. Faster dieback of rainforests altering tropical carbon sinks under climate change D. Nath et al. https://doi.org/10.1038/s41612-024-00793-0
5742. 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
5743. 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
5744. Mediterranean viticulture in the context of climate change L. Dinis et al. https://doi.org/10.1051/ctv/ctv20223702139
5745. 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
5746. The CUISINES Framework for Conducting Exoplanet Model Intercomparison Projects, Version 1.0 L. Sohl et al. https://doi.org/10.3847/PSJ/ad5830
5747. 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
5748. 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
5749. 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
5750. 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
5751. Multi-Model Analyses of Spatiotemporal Variations of Water Resources in Central Asia Y. Zhao et al. https://doi.org/10.3390/w17162423
5752. 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
5753. Global Connectivity of Southern Ocean Ecosystems E. Murphy et al. https://doi.org/10.3389/fevo.2021.624451
5754. Widespread global exacerbation of extreme drought induced by urbanization S. Huang et al. https://doi.org/10.1038/s44284-024-00102-z
5755. 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
5756. 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
5757. 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
5758. Robust Acceleration of Stratospheric Moistening and Its Radiative Feedback Under Greenhouse Warming Y. Xia et al. https://doi.org/10.1029/2020JD033090
5759. 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
5760. 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
5761. Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. https://doi.org/10.1029/2019GL083031
5762. 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
5763. Comparison of Relative and Absolute Heatwaves in Eastern China: Observations, Simulations and Future Projections H. Xu & G. Zhang https://doi.org/10.3390/atmos13050649
5764. 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
5765. 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
5766. 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
5767. Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models C. Wang et al. https://doi.org/10.1029/2020GL091024
5768. 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
5769. 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
5770. 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
5771. 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
5772. 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
5773. 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
5774. 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
5775. Evaluation of CMIP6 models toward dynamical downscaling over 14 CORDEX domains M. Zhang et al. https://doi.org/10.1007/s00382-022-06355-5
5776. 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
5777. Variations in Eurasian surface air temperature over multiple timescales and their possible causes L. Qiao et al. https://doi.org/10.1002/joc.7504
5778. Projection of extreme precipitation in the Minjiang River Basin, Southeast China X. Li et al. https://doi.org/10.2166/wcc.2022.145
5779. 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
5780. 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
5781. 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
5782. 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
5783. 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
5784. 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
5785. 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
5786. 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
5787. 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
5788. 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
5789. 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
5790. Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model G. Fuglstad & S. Castruccio https://doi.org/10.1214/20-AOAS1340
5791. 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
5792. 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
5793. Future Antarctic amplification from extreme temperature indices for different socioeconomic scenarios and time periods J. Zhu et al. https://doi.org/10.1071/ES24009
5794. Oceanic mesoscale eddies as crucial drivers of global marine heatwaves C. Bian et al. https://doi.org/10.1038/s41467-023-38811-z
5795. 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
5796. Decadal prediction of Northeast Asian winter precipitation with CMIP6 models X. Xin et al. https://doi.org/10.1007/s00382-023-07063-4
5797. Future Global Convective Environments in CMIP6 Models C. Lepore et al. https://doi.org/10.1029/2021EF002277
5798. 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
5799. Increased variability of the western Pacific subtropical high under greenhouse warming K. Yang et al. https://doi.org/10.1073/pnas.2120335119
5800. 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
5801. Increased U.S. coastal hurricane risk under climate change K. Balaguru et al. https://doi.org/10.1126/sciadv.adf0259
5802. 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
5803. Madden–Julian oscillation changes under anthropogenic warming E. Maloney et al. https://doi.org/10.1038/s41558-018-0331-6
5804. Amplified local cooling effect of forestation in warming Europe Y. Li et al. https://doi.org/10.1038/s41467-025-63556-2
5805. Asia Faces a Growing Threat From Intraseasonal Compound Weather Whiplash B. Fang & M. Lu https://doi.org/10.1029/2022EF003111
5806. 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
5807. 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
5808. 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
5809. 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
5810. 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
5811. Combining distribution‐based neural networks to predict weather forecast probabilities M. Clare et al. https://doi.org/10.1002/qj.4180
5812. 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
5813. 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
5814. 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
5815. 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
5816. 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
5817. 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
5818. 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
5819. 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
5820. 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
5821. Assessment of CMIP6 Cloud Fraction and Comparison with Satellite Observations P. Vignesh et al. https://doi.org/10.1029/2019EA000975
5822. 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
5823. 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
5824. 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
5825. 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
5826. 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
5827. 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
5828. 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
5829. 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
5830. 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
5831. Precipitation efficiency constraint on climate change R. Li et al. https://doi.org/10.1038/s41558-022-01400-x
5832. 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
5833. 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
5834. 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
5835. 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
5836. 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
5837. 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
5838. Diverging Northern Hemisphere Trends in Meteorological Versus Ecological Indicators of Spring Onset in CMIP6 X. Li et al. https://doi.org/10.1029/2023GL102833
5839. Topographically channeled ocean-atmosphere coupling in the southern Caribbean and summer climate variability M. Jury https://doi.org/10.3354/cr01733
5840. 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
5841. Detailing cloud property feedbacks with a regime-based decomposition M. Zelinka et al. https://doi.org/10.1007/s00382-022-06488-7
5842. 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
5843. Discovering causal relations and equations from data G. Camps-Valls et al. https://doi.org/10.1016/j.physrep.2023.10.005
5844. Characterizing Drought Stress for the Common Bean Breeding Purpose in East Africa Under Present and Future Climates P. Jha et al. https://doi.org/10.2139/ssrn.4067259
5845. 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
5846. A Cloudier Picture of Ice-Albedo Feedback in CMIP6 Models A. Sledd & T. L’Ecuyer https://doi.org/10.3389/feart.2021.769844
5847. Structure of the Atlantic Meridional Overturning Circulation in Three Generations of Climate Models F. Wang et al. https://doi.org/10.1029/2023EA002887
5848. Ocean stratification in a warming climate L. Cheng et al. https://doi.org/10.1038/s43017-025-00715-5
5849. 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
5850. 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
5851. 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
5852. Why super sandstorm 2021 in North China? Z. Yin et al. https://doi.org/10.1093/nsr/nwab165
5853. The future of offshore wind power production: Wake and climate impacts S. Warder & M. Piggott https://doi.org/10.1016/j.apenergy.2024.124956
5854. 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
5855. 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
5856. 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
5857. 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
5858. 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
5859. 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
5860. 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
5861. 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
5862. 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
5863. 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
5864. Evaluation of Historical Snow Cover over the Tibetan Plateau in CMIP6 F. Liu et al. https://doi.org/10.1007/s00376-024-4212-9
5865. 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
5866. A temperature binning approach for multi-sector climate impact analysis M. Sarofim et al. https://doi.org/10.1007/s10584-021-03048-6
5867. 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
5868. Climate change-resilient snowpack estimation in the Western United States M. Cowherd et al. https://doi.org/10.1038/s43247-024-01496-3
5869. 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
5870. Evaluation of historical precipitation interannual variability in CMIP6 over the United States R. Harp et al. https://doi.org/10.1088/2752-5295/ada17c
5871. 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
5872. 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
5873. 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
5874. 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
5875. 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
5876. 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
5877. 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
5878. 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
5879. Constraining CMIP6 Projections of an Ice‐Free Arctic Using a Weighting Scheme J. Zhao et al. https://doi.org/10.1029/2022EF002708
5880. 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
5881. 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
5882. 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
5883. 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
5884. 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
5885. 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
5886. 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
5887. 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
5888. Evaluation and Projection of Surface Wind Speed Over China Based on CMIP6 GCMs J. Wu et al. https://doi.org/10.1029/2020JD033611
5889. The Elo rating system as a new narrative for ranking climate models P. Monerie https://doi.org/10.1088/2515-7620/ae661c
5890. 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
5891. 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
5892. 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
5893. Why does stratospheric aerosol forcing strongly cool the warm pool? M. Günther et al. https://doi.org/10.5194/acp-24-7203-2024
5894. 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
5895. 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
5896. 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
5897. Projections of cold air outbreaks in CMIP6 earth system models E. Smith & S. Sheridan https://doi.org/10.1007/s10584-021-03259-x
5898. 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
5899. 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
5900. 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
5901. 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
5902. 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
5903. Comparing traditional hydrological forecasting models with CatBoost algorithm: insights from CMIP6 climate scenarios Ş. Şebcioğlu Mutlu et al. https://doi.org/10.2166/wcc.2025.775
5904. 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
5905. 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
5906. Climate Change Estimates Surpass Rates of Climatic Niche Evolution in Primates A. Meyer & M. Pie https://doi.org/10.1007/s10764-021-00253-z
5907. The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. https://doi.org/10.1088/1748-9326/ad5b09
5908. 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
5909. 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
5910. 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
5911. 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
5912. 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
5913. 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
5914. 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
5915. 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
5916. Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles S. Seneviratne & M. Hauser https://doi.org/10.1029/2019EF001474
5917. Stratospheric water vapor affecting atmospheric circulation E. Charlesworth et al. https://doi.org/10.1038/s41467-023-39559-2
5918. 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
5919. 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
5920. 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
5921. Ensembles vs. information theory: supporting science under uncertainty G. Nearing & H. Gupta https://doi.org/10.1007/s11707-018-0709-9
5922. 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
5923. 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
5924. 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
5925. 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
5926. Thermal bottlenecks in the life cycle define climate vulnerability of fish F. Dahlke et al. https://doi.org/10.1126/science.aaz3658
5927. 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
5928. 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
5929. 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
5930. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. https://doi.org/10.1029/2019MS001866
5931. High‐Frequency Sea Ice Variability in Observations and Models E. Blanchard‐Wrigglesworth et al. https://doi.org/10.1029/2020GL092356
5932. Soil heat extremes can outpace air temperature extremes A. García-García et al. https://doi.org/10.1038/s41558-023-01812-3
5933. 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
5934. Key determinants of global land-use projections E. Stehfest et al. https://doi.org/10.1038/s41467-019-09945-w
5935. 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
5936. 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
5937. 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
5938. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al. https://doi.org/10.1029/2022JD037978
5939. 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
5940. 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
5941. 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
5942. 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
5943. 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
5944. 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
5945. 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
5946. 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
5947. 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
5948. 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
5949. 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
5950. 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
5951. 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
5952. 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
5953. 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
5954. 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
5955. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk https://doi.org/10.1038/s41612-023-00496-y
5956. 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
5957. Abrupt expansion of climate change risks for species globally A. Pigot et al. https://doi.org/10.1038/s41559-023-02070-4
5958. 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
5959. 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
5960. Fine Ash‐Bearing Particles as a Major Aerosol Component in Biomass Burning Smoke K. Adachi et al. https://doi.org/10.1029/2021JD035657
5961. 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
5962. 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
5963. 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
5964. Influence of New Parameterization Schemes on Arctic Sea Ice Simulation Y. Lu et al. https://doi.org/10.3390/jmse12040555
5965. 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
5966. 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
5967. 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
5968. 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
5969. 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
5970. 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
5971. 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
5972. 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
5973. 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
5974. 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
5975. 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
5976. Increased population exposure to Amphan‐scale cyclones under future climates D. Mitchell et al. https://doi.org/10.1002/cli2.36
5977. 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
5978. Sea-level rise in Venice: historic and future trends (review article) D. Zanchettin et al. https://doi.org/10.5194/nhess-21-2643-2021
5979. 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
5980. North Atlantic Oscillation (NAO) in the Paleoclimate Modelling Intercomparison Project (PMIP) A. Zhao et al. https://doi.org/10.5194/cp-22-689-2026
5981. Tropical Cyclone Precipitation Response to Surface Warming in Aquaplanet Simulations With Uniform Thermal Forcing A. Stansfield & K. Reed https://doi.org/10.1029/2021JD035197
5982. Are the alternative ecosystem states produced by positive fire-flammability feedbacks reversible? P. Zylstra & D. Lindenmayer https://doi.org/10.1088/1748-9326/ae18e7
5983. 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
5984. Future Amplification of Sea Surface Temperature Seasonality Due To Enhanced Ocean Stratification A. Jo et al. https://doi.org/10.1029/2022GL098607
5985. 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
5986. 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
5987. 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
5988. Soil microbial taxonomic traits control the biogeography of carbon use efficiency Y. Wang et al. https://doi.org/10.1016/j.agee.2026.110341
5989. 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
5990. The emergence of prolonged deadly humid heatwaves X. Wang et al. https://doi.org/10.1002/joc.7750
5991. 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
5992. 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
5993. 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
5994. 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
5995. 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
5996. Multidecadal Variations in East Asian Winter Temperature Since 1880: Internal Variability Versus External Forcing J. Miao & D. Jiang https://doi.org/10.1029/2022GL099597
5997. 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
5998. Response of Larix sibirica Radial Growth to Climate Change in Kanas, Northern Xinjiang, China J. Hou et al. https://doi.org/10.3390/f15122137
5999. 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
6000. 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
6001. The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1 K. Wyser et al. https://doi.org/10.5194/gmd-14-4781-2021
6002. Anthropogenic and atmospheric variability intensifies flash drought episodes in South Asia I. Ullah et al. https://doi.org/10.1038/s43247-024-01390-y
6003. 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
6004. Unraveling forced responses of extreme El Niño variability over the Holocene A. Lawman et al. https://doi.org/10.1126/sciadv.abm4313
6005. 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
6006. 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
6007. 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
6008. 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
6009. Transformer-based soil moisture simulation for understanding future drying trend globally Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134709
6010. 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
6011. 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
6012. 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
6013. The Climatic Impact‐Driver Framework for Assessment of Risk‐Relevant Climate Information A. Ruane et al. https://doi.org/10.1029/2022EF002803
6014. 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
6015. 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
6016. Understanding spatiotemporal variation of heatwave projections across US cities S. Bhattarai et al. https://doi.org/10.1038/s41598-025-95097-5
6017. Simulation of global sea surface temperature maps using Pix2Pix GAN D. Chakraborty & A. Mitra https://doi.org/10.1017/eds.2024.38
6018. 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
6019. 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
6020. Using Climate Model Simulations to Constrain Observations B. Santer et al. https://doi.org/10.1175/JCLI-D-20-0768.1
6021. 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
6022. Surging compound drought–heatwaves underrated in global soils X. Fan et al. https://doi.org/10.1073/pnas.2410294121
6023. 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
6024. 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
6025. 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
6026. 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
6027. 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
6028. Marginal ice zone dynamics: future research perspectives and pathways L. Bennetts et al. https://doi.org/10.1098/rsta.2021.0267
6029. 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
6030. 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
6031. 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
6032. 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
6033. 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
6034. The roadmap of climate models M. Latif https://doi.org/10.1038/s43588-022-00322-0
6035. 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
6036. 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
6037. 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
6038. Climate change shifts the North Pacific storm track polewards R. Chemke & J. Yuval https://doi.org/10.1038/s41586-025-09895-y
6039. Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models X. LIU et al. https://doi.org/10.1080/16742834.2020.1824983
6040. Improved Simulation of the QBO in E3SMv1 J. Richter et al. https://doi.org/10.1029/2019MS001763
6041. 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
6042. Investigating the applicability of emergent constraints A. Winkler et al. https://doi.org/10.5194/esd-10-501-2019
6043. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. https://doi.org/10.5194/acp-20-14547-2020
6044. 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
6045. 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
6046. 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
6047. 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
6048. 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
6049. Modeling the Sulfate Aerosol Evolution After Recent Moderate Volcanic Activity, 2008–2012 C. Brodowsky et al. https://doi.org/10.1029/2021JD035472
6050. 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
6051. 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
6052. 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
6053. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. https://doi.org/10.1029/2022MS003475
6054. 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
6055. 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
6056. 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
6057. Spurious North Tropical Atlantic precursors to El Niño W. Zhang et al. https://doi.org/10.1038/s41467-021-23411-6
6058. 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
6059. 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
6060. Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach H. Huang et al. https://doi.org/10.1007/s13253-022-00518-x
6061. Design principles for the IPCC emission scenario ensemble F. Nappo https://doi.org/10.1016/j.shpsa.2026.102149
6062. 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
6063. Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al. https://doi.org/10.1038/s41467-025-56730-z
6064. 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
6065. Shoreward shift of oceanic mesoscale activity over the last three decades S. Zhou et al. https://doi.org/10.1038/s41467-025-65359-x
6066. 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
6067. Quantifying the effects of the diurnal cycle in the variability of rainfall D. Zermeño‐Díaz https://doi.org/10.1002/joc.7084
6068. 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
6069. 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
6070. 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
6071. 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
6072. 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
6073. 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
6074. 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
6075. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. https://doi.org/10.1029/2021WR030007
6076. 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
6077. 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
6078. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. https://doi.org/10.1088/1748-9326/aca91e
6079. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
6080. Assessment of Carbon Storage in a Multifunctional Landscape: A Case Study of Central Asia X. Dong et al. https://doi.org/10.3390/land13060801
6081. 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
6082. 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
6083. 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
6084. New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. https://doi.org/10.1029/2019MS001642
6085. 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
6086. Hydrological feedback from projected Earth greening in the 21st century J. Wu et al. https://doi.org/10.1016/j.horiz.2022.100007
6087. Machine unlearning: bias correction in neural network downscaled storms S. Papalexiou & A. Mamalakis https://doi.org/10.1016/j.jhydrol.2025.134689
6088. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
6089. Extreme Tibetan Plateau cooling caused by tropical volcanism X. Zhu et al. https://doi.org/10.1038/s41612-024-00672-8
6090. 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
6091. 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
6092. 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
6093. Decadal Predictability of the North Atlantic Eddy‐Driven Jet in Winter A. Marcheggiani et al. https://doi.org/10.1029/2022GL102071
6094. 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
6095. 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
6096. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. https://doi.org/10.1029/2022EF003179
6097. 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
6098. 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
6099. 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
6100. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. https://doi.org/10.1038/s41586-024-07878-z
6101. 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
6102. 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
6103. 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
6104. 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
6105. Reconsidering the lower end of long-term climate scenarios S. Fujimori et al. https://doi.org/10.1371/journal.pclm.0000318
6106. 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
6107. 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
6108. 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
6109. Glacier projections sensitivity to temperature-index model choices and calibration strategies L. Schuster et al. https://doi.org/10.1017/aog.2023.57
6110. 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
6111. 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
6112. 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
6113. 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
6114. Scenario-based analysis of rainfall erosivity trends in Taiwan K. Nguyen & W. Chen https://doi.org/10.1016/j.indic.2026.101232
6115. 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
6116. Future Changes in Global Atmospheric Rivers Projected by CMIP6 Models L. Zhang et al. https://doi.org/10.1029/2023JD039359
6117. 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
6118. 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
6119. Effects of Climate Change on the Global Distribution of Trachypteris picta (Coleoptera: Buprestidae) H. Liu et al. https://doi.org/10.3390/insects16080802
6120. 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
6121. Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 F. Lehner et al. https://doi.org/10.5194/esd-11-491-2020
6122. 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
6123. 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
6124. 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
6125. 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
6126. 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
6127. 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
6128. The primary factors influencing the cooling effect of carbon dioxide removal X. Qu & G. Huang https://doi.org/10.1038/s41612-023-00547-4
6129. 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
6130. Verification of Seasonal Ensemble Forecasts Based on the INM-CM5 Earth System Model V. Khan et al. https://doi.org/10.3103/S1068373924070033
6131. 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
6132. 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
6133. 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
6134. 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
6135. The biogeophysical effects of carbon fertilization of the terrestrial biosphere R. Allen https://doi.org/10.5194/acp-25-10361-2025
6136. 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
6137. 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
6138. A review of interactions between ocean heat transport and Arctic sea ice D. Docquier & T. Koenigk https://doi.org/10.1088/1748-9326/ac30be
6139. ENSO‐induced decadal variability in the tropical Pacific subsurface in CMIP6 models Y. Chen & P. Huang https://doi.org/10.1002/joc.8071
6140. The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. https://doi.org/10.5194/gmd-16-5427-2023
6141. 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
6142. 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
6143. 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
6144. 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
6145. 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
6146. Rapid 21st Century Weakening of the Agulhas Current in a Warming Climate R. Zhang et al. https://doi.org/10.1029/2022GL102070
6147. Greenland ice sheet climate disequilibrium and committed sea-level rise J. Box et al. https://doi.org/10.1038/s41558-022-01441-2
6148. 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
6149. Climate Change: Causes, Consequences, and Current Challenges V. Semenov https://doi.org/10.1134/S1019331625602750
6150. 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
6151. 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
6152. Spatiotemporal dynamics of Bacillus anthracis under climate change: a machine learning approach S. Khalaf et al. https://doi.org/10.3389/fmicb.2025.1659876
6153. 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
6154. 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
6155. 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
6156. 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
6157. 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
6158. Projections of meteorological drought severity-duration variations based on CMIP6 F. Behzadi et al. https://doi.org/10.1038/s41598-024-55340-x
6159. 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
6160. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. https://doi.org/10.1007/s00382-022-06436-5
6161. Future projection of climate extremes across contiguous northeast India and Bangladesh A. Paul & R. Maity https://doi.org/10.1038/s41598-023-42360-2
6162. 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
6163. Atmospheric blocking and temperatures in the Antarctic Peninsula D. Bozkurt et al. https://doi.org/10.1016/j.scitotenv.2024.172852
6164. 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
6165. 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
6166. 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
6167. 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
6168. 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
6169. 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
6170. Assessing discrepancies in global aerosol trends from satellites, models and reanalyses R. Urraca et al. https://doi.org/10.1016/j.rse.2025.114827
6171. A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections X. Tibau et al. https://doi.org/10.1017/eds.2022.11
6172. 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
6173. 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
6174. 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
6175. Gas exchange analysers exhibit large measurement error driven by internal thermal gradients J. Garen et al. https://doi.org/10.1111/nph.18347
6176. 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
6177. 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
6178. 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
6179. 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
6180. Influence of Stratospheric Ozone Changes on Stratospheric Temperature Trends in Recent Decades L. Zhou et al. https://doi.org/10.3390/rs14215364
6181. 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
6182. 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
6183. Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes https://doi.org/10.1016/j.jhydrol.2023.129177
6184. 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
6185. 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
6186. 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
6187. Diagnosing the Radiation Biases in Global Climate Models Using Radiative Kernels H. Huang & Y. Huang https://doi.org/10.1029/2023GL103723
6188. 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
6189. 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
6190. Statistical physics and dynamical systems perspectives on geophysical extreme events D. Faranda et al. https://doi.org/10.1103/PhysRevE.110.041001
6191. 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
6192. 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
6193. 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
6194. An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis L. Leung et al. https://doi.org/10.1029/2019MS001821
6195. 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
6196. 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
6197. Evaluation of Extreme Precipitation over East China in CMIP6 Models H. Zhu & J. Yang https://doi.org/10.3390/atmos17020136
6198. 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
6199. 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
6200. El Niño–Southern Oscillation Prediction Based on the Global Atmospheric Oscillation in CMIP6 Models I. Serykh https://doi.org/10.3390/cli13020025
6201. 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
6202. 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
6203. 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
6204. 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
6205. Evaluation of the Pacific Decadal Oscillation from 1901 to 2014 in CMIP6 models Y. Xu et al. https://doi.org/10.3354/cr01711
6206. 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
6207. 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
6208. Towards Informed Water Resources Planning and Management P. Reggiani et al. https://doi.org/10.3390/hydrology9080136
6209. 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
6210. 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
6211. 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
6212. 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
6213. 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
6214. 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
6215. 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
6216. 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
6217. Global and Regional Climate Feedbacks in Response to Uniform Warming and Cooling M. Ringer et al. https://doi.org/10.1029/2023JD038861
6218. 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
6219. 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
6220. 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
6221. 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
6222. 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
6223. Artificial intelligence reconstructs missing climate information C. Kadow et al. https://doi.org/10.1038/s41561-020-0582-5
6224. 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
6225. 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
6226. 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
6227. 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
6228. 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
6229. 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
6230. Impacts of Different Land Use Scenarios on Future Global and Regional Climate Extremes T. Hong et al. https://doi.org/10.3390/atmos13060995
6231. Hemispheric asymmetric response of tropical cyclones to CO2 emission reduction C. Liu et al. https://doi.org/10.1038/s41612-024-00632-2
6232. 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
6233. Structure, modulation and impacts of southeastern Africa’s diurnal convection M. Jury https://doi.org/10.1007/s00704-024-04885-y
6234. 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
6235. Climate change impacts on temperature and precipitation over the Caspian Sea S. Hoseini et al. https://doi.org/10.1080/07900627.2024.2313050
6236. 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
6237. 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
6238. 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
6239. 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
6240. A Realistic Projection of Climate Change in the Upper Atmosphere Into the 21st Century I. Cnossen https://doi.org/10.1029/2022GL100693
6241. Seasonal prediction skills in the CAMS-CSM climate forecast system B. Liu et al. https://doi.org/10.1007/s00382-021-05848-z
6242. 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
6243. 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
6244. Pushing the frontiers in climate modelling and analysis with machine learning V. Eyring et al. https://doi.org/10.1038/s41558-024-02095-y
6245. 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
6246. Decadal heatwave fluctuations in China caused by the Indian and Atlantic Oceans N. Lei et al. https://doi.org/10.1088/1748-9326/ad5b05
6247. Computing extreme storm surges in Europe using neural networks T. Hermans et al. https://doi.org/10.5194/nhess-25-4593-2025
6248. 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
6249. Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling H. Nnamchi & M. Latif https://doi.org/10.1038/s41612-025-01041-9
6250. 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
6251. 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
6252. 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
6253. 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
6254. Causal pathways underlying global soil moisture–precipitation coupling J. Sun et al. https://doi.org/10.1038/s41467-025-63999-7
6255. 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
6256. Moderate Indian Ocean Dipole dominates spring fire weather conditions in southern Australia X. Ren et al. https://doi.org/10.1088/1748-9326/ad4fa5
6257. High Climate Sensitivity in the Community Earth System Model Version 2 (CESM2) A. Gettelman et al. https://doi.org/10.1029/2019GL083978
6258. 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
6259. Growing impact of wildfire on western US water supply A. Williams et al. https://doi.org/10.1073/pnas.2114069119
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6262. 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
6263. 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
6264. 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
6265. 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
6266. 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
6267. 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
6268. 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
6269. The Climate in Climate Economics D. Folini et al. https://doi.org/10.1093/restud/rdae011
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6271. 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
6272. Compound warm–dry and cold–wet events over the Mediterranean P. De Luca et al. https://doi.org/10.5194/esd-11-793-2020
6273. FORTE 2.0: a fast, parallel and flexible coupled climate model A. Blaker et al. https://doi.org/10.5194/gmd-14-275-2021
6274. 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
6275. Human-induced weakening of the Northern Hemisphere tropical circulation R. Chemke & J. Yuval https://doi.org/10.1038/s41586-023-05903-1
6276. A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
6277. CO2 radiative forcing induces summer cooling over India J. Liu et al. https://doi.org/10.1038/s41467-026-69875-2
6278. 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
6279. 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
6280. 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
6281. 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
6282. Process-based climate change assessment for European winds using EURO-CORDEX and global models J. Wohland https://doi.org/10.1088/1748-9326/aca77f
6283. 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
6284. Skilful decadal-scale prediction of fish habitat and distribution shifts M. Payne et al. https://doi.org/10.1038/s41467-022-30280-0
6285. 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
6286. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. https://doi.org/10.1029/2023GL102916
6287. 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
6288. 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
6289. Climate Change Impacts on Maximum Aviation Payloads of Chinese Airports H. Song et al. https://doi.org/10.3390/atmos16050597
6290. 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
6291. 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
6292. 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
6293. 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
6294. 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
6295. 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
6296. 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
6297. 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
6298. 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
6299. 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
6300. 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
6301. 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
6302. 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
6303. A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation J. Schmidt et al. https://doi.org/10.1038/s41612-025-01157-y
6304. CMIP7 data request: land and land ice priorities and opportunities Y. Li et al. https://doi.org/10.5194/gmd-19-3129-2026
6305. 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
6306. 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
6307. 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
6308. 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
6309. 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
6310. 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
6311. 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
6312. 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
6313. 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
6314. 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
6315. 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
6316. CMIP6 precipitation and temperature projections for Chile Á. Salazar et al. https://doi.org/10.1007/s00382-023-07034-9
6317. 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
6318. 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
6319. 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
6320. 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
6321. 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
6322. 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
6323. Ionization of the Polar Atmosphere by Energetic Electron Precipitation Retrieved From Balloon Measurements I. Mironova et al. https://doi.org/10.1029/2018GL079421
6324. 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
6325. 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
6326. 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
6327. 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
6328. 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
6329. The future ozone trends in changing climate simulated with SOCOLv4 A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-23-4801-2023
6330. 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
6331. 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
6332. 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
6333. 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
6334. Modeling and Mapping Habitat Suitability of Highland Bamboo under Climate Change in Ethiopia D. Yebeyen et al. https://doi.org/10.3390/f13060859
6335. 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
6336. Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. https://doi.org/10.1029/2022GL099793
6337. 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
6338. Evaluation of East Asian Meiyu from CMIP6/AMIP simulations M. Tong et al. https://doi.org/10.1007/s00382-022-06218-z
6339. 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
6340. 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
6341. 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
6342. 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
6343. Les principaux enseignements du 6 e rapport du groupe I du GIEC D. Salas y Mélia https://doi.org/10.3917/re1.106.0011
6344. 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
6345. 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
6346. 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
6347. Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere Y. Zhang et al. https://doi.org/10.1038/s41558-022-01374-w
6348. 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
6349. 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
6350. 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
6351. Long-term evolution of ocean eddy activity in a warming world N. Beech et al. https://doi.org/10.1038/s41558-022-01478-3
6352. 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
6353. 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
6354. 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
6355. 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
6356. Hydrological Sustainability of Dam-Based Water Resources in a Mediterranean Basin Undergoing Climate Change N. Montaldo et al. https://doi.org/10.3390/hydrology11120200
6357. On the Effect of Historical SST Patterns on Radiative Feedback T. Andrews et al. https://doi.org/10.1029/2022JD036675
6358. 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
6359. 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
6360. 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
6361. 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
6362. 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
6363. 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
6364. 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
6365. The potential for structural errors in emergent constraints B. Sanderson et al. https://doi.org/10.5194/esd-12-899-2021
6366. 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
6367. 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
6368. 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
6369. 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
6370. 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
6371. 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
6372. 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
6373. 气候变化下陆地产氧量变化 磊. 丁 et al. https://doi.org/10.1360/N072021-0315
6374. Projection of Thermal Bioclimate of Egypt for the Paris Agreement Goals M. Hamed et al. https://doi.org/10.3390/su142013259
6375. 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
6376. 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
6377. 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
6378. 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
6379. Défis environnementaux émergents S. Mondon https://doi.org/10.3917/pstrat.008.0027
6380. 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
6381. 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
6382. Statistical Aspects of Quantitative Estimation of Polar Amplification. Part 1: The Ratio of Trends R. Bekryaev https://doi.org/10.3103/S1068373922060012
6383. 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
6384. 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
6385. Arctic Climate Threat Indicator Set for Municipal Decision-Making J. Tafrate & K. Nyland https://doi.org/10.1016/j.cliser.2025.100610
6386. 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
6387. 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
6388. 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
6389. 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
6390. 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
6391. 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
6392. 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
6393. 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
6394. Temperature effects on carbon storage are controlled by soil stabilisation capacities I. Hartley et al. https://doi.org/10.1038/s41467-021-27101-1
6395. 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
6396. 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
6397. Neglecting future sporadic volcanic eruptions underestimates climate uncertainty M. Chim et al. https://doi.org/10.1038/s43247-025-02208-1
6398. Global Investigation of Soil Moisture and Latent Heat Flux Coupling Strength F. Lei et al. https://doi.org/10.1029/2018WR023469
6399. 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
6400. 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
6401. 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
6402. 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
6403. 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
6404. 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
6405. Simulation of Northern Winter Stratospheric Polar Vortex Regimes in CESM2-WACCM D. Guo et al. https://doi.org/10.3390/atmos14020243
6406. 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
6407. 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
6408. High temporal variability not trend dominates Mediterranean precipitation S. Vicente-Serrano et al. https://doi.org/10.1038/s41586-024-08576-6
6409. 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
6410. 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
6411. Evaluation of Summer Non‐Uniform Multidecadal Temperature Variations Over Eurasia in CMIP6 Models Y. Hu & W. Hua https://doi.org/10.1029/2023JD039267
6412. Predicted Global Redistribution of Lagria nigricollis (Coleoptera: Tenebrionidae) Under Future Climate Change M. Zhao et al. https://doi.org/10.3390/insects16121227
6413. 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
6414. 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
6415. Comparison of the Heights of Sporadic E Layers and Vertical Ion Convergence Parameters Y. Yu et al. https://doi.org/10.3390/rs15245674
6416. Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature M. Rugenstein & M. Hakuba https://doi.org/10.1029/2022GL101802
6417. European projections of West Nile virus transmission under climate change scenarios Z. Farooq et al. https://doi.org/10.1016/j.onehlt.2023.100509
6418. 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
6419. 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
6420. 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
6421. 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
6422. Estimating unprecedented extremes in UK summer daily rainfall C. Kent et al. https://doi.org/10.1088/1748-9326/ac42fb
6423. Future drought projections with CMIP6 in Eğirdir Lake basin (Türkiye) E. Şener & A. Davraz https://doi.org/10.1007/s11069-025-07573-w
6424. 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
6425. 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
6426. 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
6427. 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
6428. The MJO-QBO Relationship in a GCM with Stratospheric Nudging Z. Martin et al. https://doi.org/10.1175/JCLI-D-20-0636.1
6429. Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption D. Wade et al. https://doi.org/10.1073/pnas.1919807117
6430. 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
6431. 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
6432. 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
6433. 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
6434. 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
6435. Ensemble Numerical Experiments with Earth System Models A. Eliseev https://doi.org/10.1007/s11141-026-10472-0
6436. 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
6437. Beyond Stationarity: The FARO Framework for Quantifying Adaptive Operational Risk in Marine Spatial Planning J. Paulo & T. Santos https://doi.org/10.3390/su172310779
6438. 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
6439. 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
6440. 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
6441. 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
6442. 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
6443. 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
6444. 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
6445. 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
6446. Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
6447. Enhanced Climate Response to Ozone Depletion From Ozone‐Circulation Coupling P. Lin & Y. Ming https://doi.org/10.1029/2020JD034286
6448. 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
6449. 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
6450. 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
6451. 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
6452. Local biophysical climate feedback from vegetation responses to lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41612-025-01310-7
6453. Enhanced impact of future temperature on Northern Hemisphere snowfall L. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134194
6454. 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
6455. 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
6456. 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
6457. 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
6458. 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
6459. 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
6460. 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
6461. Evolving Southern Ocean overturning in warming climates T. Zhu & W. Liu https://doi.org/10.1038/s41467-025-65389-5
6462. 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
6463. 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
6464. 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
6465. 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
6466. 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
6467. 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
6468. Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation Y. Cheng et al. https://doi.org/10.1002/env.70101
6469. 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
6470. Arctic soil carbon insulation averts large spring cooling from surface–atmosphere feedbacks R. Gaillard et al. https://doi.org/10.1073/pnas.2410226122
6471. Global climate response to idealized deforestation in CMIP6 models L. Boysen et al. https://doi.org/10.5194/bg-17-5615-2020
6472. 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
6473. 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
6474. 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
6475. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. https://doi.org/10.1029/2021WR031817
6476. Global temperature shocks and real exchange rates S. Lee et al. https://doi.org/10.1016/j.jclimf.2022.100004
6477. 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
6478. 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
6479. 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
6480. 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
6481. 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
6482. 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
6483. 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
6484. 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
6485. 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
6486. 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
6487. 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
6488. Long run emulator calibration increases warming and sea-level rise projections C. Wells et al. https://doi.org/10.1088/1748-9326/ae3847
6489. Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century G. Zhang et al. https://doi.org/10.1029/2022EF002652
6490. 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
6491. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
6492. 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
6493. 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
6494. 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
6495. 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
6496. Crabs of the Barents Sea under Climate Change S. Bakanev https://doi.org/10.1134/S0001437025700742
6497. Arctic Amplification of Precipitation Changes—The Energy Hypothesis F. Pithan & T. Jung https://doi.org/10.1029/2021GL094977
6498. 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
6499. 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
6500. Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model D. Kramel et al. https://doi.org/10.1021/acs.est.1c03937
6501. 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
6502. 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
6503. 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
6504. 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
6505. 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
6506. Geographic redistribution of microcystin hotspots in response to climate warming J. Merder et al. https://doi.org/10.1038/s44221-023-00138-w
6507. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles M. Zumwald et al. https://doi.org/10.1002/wcc.654
6508. 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
6509. 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
6510. 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
6511. 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
6512. 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
6513. 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
6514. 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
6515. 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
6516. Robust detection of forced warming in the presence of potentially large climate variability S. Sippel et al. https://doi.org/10.1126/sciadv.abh4429
6517. Uncertainties in projections of climate extremes indices in South America via Bayesian inference C. Gouveia et al. https://doi.org/10.1002/joc.7650
6518. Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models G. Chen et al. https://doi.org/10.1029/2021JD036422
6519. A Holistic View of Climate Sensitivity N. Jeevanjee et al. https://doi.org/10.1146/annurev-earth-040523-014302
6520. Evaluation of Soil Moisture in CMIP6 Simulations L. Qiao et al. https://doi.org/10.1175/JCLI-D-20-0827.1
6521. 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
6522. 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
6523. 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
6524. 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
6525. 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
6526. 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
6527. 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
6528. 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
6529. Seasonal Variation of Wet Deposition of Black Carbon in Arctic Alaska T. Mori et al. https://doi.org/10.1029/2019JD032240
6530. 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
6531. 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
6532. Direct and indirect effects of CO2increase on crop yield in West Africa B. Sultan et al. https://doi.org/10.1002/joc.5960
6533. 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
6534. 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
6535. Emergence time of CO2-forced European summer climate trends M. St-Pierre et al. https://doi.org/10.1038/s41598-026-44761-5
6536. 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
6537. Extreme weather events in southern Brazil warn of agricultural collapse R. Nóia-Júnior et al. https://doi.org/10.1016/j.nexres.2025.100217
6538. 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
6539. 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
6540. 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
6541. 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
6542. 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
6543. Quantification of human contribution to soil moisture-based terrestrial aridity Y. Wang et al. https://doi.org/10.1038/s41467-022-34071-5
6544. Desert ecosystems in China: Past, present, and future X. Wang et al. https://doi.org/10.1016/j.earscirev.2022.104206
6545. 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
6546. The climate change perspective of photovoltaic power potential in Brazil C. Zuluaga et al. https://doi.org/10.1016/j.renene.2022.05.029
6547. 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
6548. Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region C. Mu et al. https://doi.org/10.1038/s41467-025-58716-3
6549. 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
6550. 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
6551. 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
6552. Climate metrics for modelling conditions on pilgrimages in Ethiopia J. Richards & P. Brimblecombe https://doi.org/10.1038/s40494-025-01894-6
6553. 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
6554. 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
6555. Quantifying the influence of short-term emission reductions on climate J. Fyfe et al. https://doi.org/10.1126/sciadv.abf7133
6556. 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
6557. 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
6558. 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
6559. 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
6560. 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
6561. 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
6562. Should we think of observationally constrained multidecade climate projections as predictions? T. Li et al. https://doi.org/10.1126/sciadv.adt6485
6563. 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
6564. 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
6565. Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. https://doi.org/10.1029/2020GL089074
6566. The Improvement of the Discrete Wavelet Transform Z. Zhang https://doi.org/10.3390/math11081770
6567. 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
6568. 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
6569. 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
6570. An assessment of basal melt parameterisations for Antarctic ice shelves C. Burgard et al. https://doi.org/10.5194/tc-16-4931-2022
6571. The southward shift of hurricane genesis over the northern Atlantic Ocean X. Cao et al. https://doi.org/10.1038/s41612-025-00923-2
6572. 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
6573. 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
6574. Global climate-driven sea surface temperature and chlorophyll dynamics R. Venegas et al. https://doi.org/10.1016/j.marenvres.2024.106856
6575. Crossbreeding CMIP6 Earth System Models With an Emulator for Regionally Optimized Land Temperature Projections L. Beusch et al. https://doi.org/10.1029/2019GL086812
6576. 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
6577. Historical sensible-heat-flux variations key to predicting future hydrologic sensitivity J. Norris et al. https://doi.org/10.1038/s41612-024-00676-4
6578. 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
6579. 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
6580. 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
6581. 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
6582. 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
6583. 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
6584. 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
6585. Pitfalls in diagnosing temperature extremes L. Brunner & A. Voigt https://doi.org/10.1038/s41467-024-46349-x
6586. 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
6587. 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
6588. Large-scale aggregation of humid heatwaves exacerbated by coastal oceanic warming F. Cai et al. https://doi.org/10.1038/s41561-026-01952-z
6589. Evaluation of Soil Moisture in CMIP6 Multimodel Simulations Over Conterminous China A. Wang et al. https://doi.org/10.1029/2022JD037072
6590. 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
6591. 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
6592. 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
6593. 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
6594. Global insect herbivory and its response to climate change M. Liu et al. https://doi.org/10.1016/j.cub.2024.04.062
6595. Estimation of non-stationary return levels of extreme temperature by CMIP6 models T. Mohammadi et al. https://doi.org/10.2166/wpt.2024.010
6596. 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
6597. 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
6598. 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
6599. 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
6600. 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
6601. 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
6602. 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
6603. 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
6604. Atmospheric rivers emerge as future freshwater reserves and heat stocks M. Lu et al. https://doi.org/10.1038/s43247-025-02780-6
6605. 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
6606. 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
6607. 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
6608. 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
6609. Spread in climate policy scenarios unravelled M. Dekker et al. https://doi.org/10.1038/s41586-023-06738-6
6610. 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
6611. 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
6612. 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
6613. 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
6614. Saharan vertebrate flagships are good ecosystem-wide climate response surrogates E. de Moll et al. https://doi.org/10.1016/j.biocon.2025.111580
6615. 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
6616. 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
6617. 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
6618. 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
6619. Arctic Ocean Freshwater in CMIP6 Ensembles: Declining Sea Ice, Increasing Ocean Storage and Export H. Zanowski et al. https://doi.org/10.1029/2020JC016930
6620. Emerging Climate Signals in Tropical Oxygen Minimum Zones M. Delteil et al. https://doi.org/10.5194/bg-23-2205-2026
6621. 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
6622. 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
6623. 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
6624. Future Summer Marine Heatwaves in the Western South Atlantic N. Costa & R. Rodrigues https://doi.org/10.1029/2021GL094509
6625. Phase-Locking of El Niño and La Niña Events in CMIP6 Models Y. Yan & D. Sun https://doi.org/10.3390/atmos15080882
6626. 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
6627. 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
6628. 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
6629. 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
6630. 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
6631. 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
6632. 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
6633. 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
6634. 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
6635. 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
6636. 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
6637. 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
6638. 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
6639. Prolonged Siberian heat of 2020 almost impossible without human influence A. Ciavarella et al. https://doi.org/10.1007/s10584-021-03052-w
6640. 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
6641. Understanding model diversity in future precipitation projections for South America Ø. Hodnebrog et al. https://doi.org/10.1007/s00382-021-05964-w
6642. 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
6643. FIO-ESM: The Earth System Model Coupled with Ocean Surface Gravity Waves 振. 宋 https://doi.org/10.12677/CCRL.2020.91004
6644. 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
6645. Projected climate change impacts on Potato yield in East Africa T. Kirina et al. https://doi.org/10.1016/j.eja.2025.127560
6646. 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
6647. 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
6648. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes https://doi.org/10.1126/sciadv.abo6872
6649. 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
6650. 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
6651. 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
6652. 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
6653. Anthropogenic influence has significantly affected snowfall changes in Eurasia W. Lin et al. https://doi.org/10.1016/j.atmosres.2023.107125
6654. 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
6655. 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
6656. 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
6657. 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
6658. The End of the Wait for Climate Sensitivity? B. Sanderson https://doi.org/10.1029/2019GL084685
6659. 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
6660. 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
6661. Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. https://doi.org/10.1029/2022GL098820
6662. The effect of Arctic warming on Moscow climate continentality G. Alexandrov et al. https://doi.org/10.1088/1755-1315/606/1/012004
6663. Disentangling Effects of Vegetation Structure and Physiology on Land–Atmosphere Coupling W. Li et al. https://doi.org/10.1111/gcb.70035
6664. 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
6665. 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
6666. 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
6667. 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
6668. Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 R. Li et al. https://doi.org/10.1029/2020MS002152
6669. 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
6670. Climate response and sensitivity: time scales and late tipping points R. Bastiaansen et al. https://doi.org/10.1098/rspa.2022.0483
6671. 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
6672. 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
6673. 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
6674. Global terrestrial moisture recycling in Shared Socioeconomic Pathways A. Staal et al. https://doi.org/10.5194/esd-16-215-2025
6675. 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
6676. 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
6677. 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
6678. 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
6679. 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
6680. 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
6681. 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
6682. 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
6683. 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
6684. 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
6685. 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
6686. 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
6687. 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
6688. Role of Atlantification in Enhanced Primary Productivity in the Barents Sea K. Noh et al. https://doi.org/10.1029/2023EF003709
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6695. 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
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6700. 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
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6708. 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
6709. 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
6710. 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
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6712. Forest carbon protocols underestimate climate-driven carbon loss risks C. Wu et al. https://doi.org/10.1038/s41586-026-10571-y
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6715. 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
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6720. Physics-Enhanced Multilevel Residual Model for Sea Surface Temperature Prediction M. Deng et al. https://doi.org/10.1109/JSTARS.2026.3689608
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6730. 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
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6735. 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
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6738. 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
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6740. 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
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6745. Quantification of Uncertainty in Projections of Extreme Daily Precipitation S. Kim et al. https://doi.org/10.1029/2019EA001052
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6747. 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
6748. 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
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6752. 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
6753. 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
6754. 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
6755. 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
6756. Climate Warming at European Airports: Human Factors and Infrastructure Planning J. Williams et al. https://doi.org/10.3390/aerospace13020127
6757. Tropical response to ocean circulation slowdown raises future drought risk P. DiNezio et al. https://doi.org/10.1038/s41586-025-09319-x
6758. Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation F. Ajibola et al. https://doi.org/10.3390/atmos11101053
6759. Modeling the Vertical Flux of Organic Carbon in the Global Ocean A. Burd https://doi.org/10.1146/annurev-marine-022123-102516
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6761. Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
6762. 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
6763. 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
6764. 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
6765. 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
6766. 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
6767. 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
6768. Widespread Persistent Extreme Cold Events Over South‐East China: Mechanisms, Trends, and Attribution N. Freychet et al. https://doi.org/10.1029/2020JD033447
6769. Intensified Atlantic multidecadal variability in a warming climate S. Li et al. https://doi.org/10.1038/s41558-025-02252-x
6770. 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
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6772. 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
6773. Strong 2023–2024 El Niño generated by ocean dynamics Q. Peng et al. https://doi.org/10.1038/s41561-025-01700-9
6774. 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
6775. 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
6776. Observationally constrained projection of Afro-Asian monsoon precipitation Z. Chen et al. https://doi.org/10.1038/s41467-022-30106-z
6777. Observation-Constrained Intercomparison of CMIP6 GCMs Precipitation Projections around Japan D. Kim & N. Shirakawa https://doi.org/10.1007/s13143-025-00423-6
6778. Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. https://doi.org/10.1073/pnas.2112087118
6779. 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
6780. 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
6781. 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
6782. 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
6783. 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
6784. Oceanic heat sources exacerbate continental heatwaves G. Wang et al. https://doi.org/10.1016/j.oneear.2026.101716
6785. 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
6786. 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
6787. 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
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6789. 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
6790. Mesospheric Nitric Oxide Transport in WACCM C. Smith‐Johnsen et al. https://doi.org/10.1029/2021JA029998
6791. 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
6792. 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
6793. cfdm: A Python reference implementation of the CF data model D. Hassell & S. Bartholomew https://doi.org/10.21105/joss.02717
6794. 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
6795. 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
6796. Gaps in Water Quality Modeling of Hydrologic Systems L. Lucas et al. https://doi.org/10.3390/w17081200
6797. 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
6798. 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
6799. 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
6800. Albedos, Equilibrium Temperatures, and Surface Temperatures of Habitable Planets A. Del Genio et al. https://doi.org/10.3847/1538-4357/ab3be8
6801. 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
6802. 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
6803. Globally unequal effect of extreme heat on economic growth C. Callahan & J. Mankin https://doi.org/10.1126/sciadv.add3726
6804. Food and nutrition security under changing climate and socioeconomic conditions M. Rosegrant et al. https://doi.org/10.1016/j.gfs.2024.100755
6805. 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
6806. Evaluation of Temperature and Precipitation Simulations in CMIP6 Models Over the Tibetan Plateau T. Cui et al. https://doi.org/10.1029/2020EA001620
6807. 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
6808. Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. https://doi.org/10.1016/j.atmosres.2024.107255
6809. 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
6810. 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
6811. 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
6812. Inter-comparison of past and projected climatic trends in Puerto Rico: 1950–2100 M. Jury https://doi.org/10.2166/wcc.2022.071
6813. 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
6814. 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
6815. 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
6816. 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
6817. The Role of the Mean State on MJO Simulation in CESM2 Ensemble Simulation D. Kang et al. https://doi.org/10.1029/2020GL089824
6818. 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
6819. 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
6820. 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
6821. A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al. https://doi.org/10.1017/eds.2022.24
6822. 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
6823. Dual impact of global urban overheating on mortality S. Wang et al. https://doi.org/10.1038/s41558-025-02303-3
6824. 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
6825. 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
6826. 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
6827. 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
6828. Projected Change in Temperature and Precipitation Over Africa from CMIP6 M. Almazroui et al. https://doi.org/10.1007/s41748-020-00161-x
6829. Deep Emulators for Differentiation, Forecasting, and Parametrization in Earth Science Simulators M. Nonnenmacher & D. Greenberg https://doi.org/10.1029/2021MS002554
6830. 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
6831. 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
6832. 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
6833. Increased interannual variability of Sahel rainfall under greenhouse warming K. Yang et al. https://doi.org/10.1038/s41467-025-67885-0
6834. Surface Wave Mixing Modifies Projections of 21st Century Ocean Heat Uptake J. Kousal et al. https://doi.org/10.3390/atmos14030532
6835. Revisiting a Constraint on Equilibrium Climate Sensitivity From a Last Millennium Perspective S. Cropper et al. https://doi.org/10.1029/2023GL104126
6836. 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
6837. 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
6838. 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
6839. 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
6840. 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
6841. 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
6842. Evaluation of soil temperature in CMIP6 multimodel simulations J. Zhou et al. https://doi.org/10.1016/j.agrformet.2024.110039
6843. 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
6844. 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
6845. Global patterns of sea surface climate connectivity for marine species P. Petsas et al. https://doi.org/10.1038/s43247-022-00569-5
6846. The Planetary Theory of Solar Activity Variability: A Review N. Scafetta & A. Bianchini https://doi.org/10.3389/fspas.2022.937930
6847. 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
6848. 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
6849. 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
6850. Modern anthropogenic drought in Central Brazil unprecedented during last 700 years N. Stríkis et al. https://doi.org/10.1038/s41467-024-45469-8
6851. 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
6852. 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
6853. Modulations of ocean-atmosphere interactions on squid abundance over Southwest Atlantic C. Ko et al. https://doi.org/10.1016/j.envres.2024.118444
6854. 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
6855. 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
6856. 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
6857. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. https://doi.org/10.5194/hess-27-1627-2023
6858. A weather pattern responsible for increasing wildfires in the western United States W. Zhang et al. https://doi.org/10.1088/1748-9326/ad928f
6859. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. https://doi.org/10.5194/acp-23-523-2023
6860. 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
6861. Importance of beginning industrial-era climate simulations in the eighteenth century A. Ballinger et al. https://doi.org/10.1088/1748-9326/ae1bbc
6862. 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
6863. Soil carbon sequestration simulated in CMIP6-LUMIP models: implications for climatic mitigation A. Ito et al. https://doi.org/10.1088/1748-9326/abc912
6864. 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
6865. 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
6866. 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
6867. 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
6868. 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
6869. 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
6870. Learning about climate change solutions in the IPCC and beyond J. Minx et al. https://doi.org/10.1016/j.envsci.2017.05.014
6871. 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
6872. 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
6873. Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. https://doi.org/10.5194/hess-28-3391-2024
6874. Climate Change Impacts on the Marine Cycling of Biogenic Sulfur: A Review R. Jackson & A. Gabric https://doi.org/10.3390/microorganisms10081581
6875. 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
6876. 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
6877. 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
6878. 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
6879. 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
6880. 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
6881. CMIP6 Data Citation of Evolving Data M. Stockhause & M. Lautenschlager https://doi.org/10.5334/dsj-2017-030
6882. 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
6883. 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
6884. 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
6885. Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé https://doi.org/10.1002/2017GL076829
6886. 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
6887. 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
6888. AtmoDist: Self-supervised representation learning for atmospheric dynamics S. Hoffmann & C. Lessig https://doi.org/10.1017/eds.2023.1
6889. 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
6890. 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
6891. 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
6892. The Lack of a QBO‐MJO Connection in Climate Models With a Nudged Stratosphere Z. Martin et al. https://doi.org/10.1029/2023JD038722
6893. 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
6894. 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
6895. 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
6896. 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
6897. 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
6898. Sea surface warming patterns drive hydrological sensitivity uncertainties S. Zhang et al. https://doi.org/10.1038/s41558-023-01678-5
6899. 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
6900. 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
6901. Unsupervised discovery of extreme weather events using universal representations of emergent organization A. Rupe et al. https://doi.org/10.1063/5.0267915
6902. 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
6903. 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
6904. 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
6905. 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
6906. 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
6907. Decent work in fishing in a changing climate M. Tigchelaar et al. https://doi.org/10.1016/j.marpol.2025.106846
6908. 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
6909. 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
6910. Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment X. Gao et al. https://doi.org/10.3390/atmos13071056
6911. Anthropogenic Fingerprint Detectable in Upper Tropospheric Ozone Trends Retrieved from Satellite X. Yu et al. https://doi.org/10.1021/acs.est.4c01289
6912. Annual Cycle of East Asian Precipitation Simulated by CMIP6 Models Y. Yan et al. https://doi.org/10.3390/atmos12010024
6913. 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
6914. 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
6915. Multi-Decadal Variability and Future Changes in Precipitation over Southern Africa K. Lim Kam Sian et al. https://doi.org/10.3390/atmos12060742
6916. 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
6917. 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
6918. 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
6919. 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
6920. Highly restricted near‐surface permafrost extent during the mid-Pliocene warm period D. Guo et al. https://doi.org/10.1073/pnas.2301954120
6921. 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
6922. 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
6923. 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
6924. 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
6925. 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
6926. 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
6927. Madden–Julian Oscillation-induced extreme rainfalls constrained by global warming mitigation S. Liang et al. https://doi.org/10.1038/s41612-022-00291-1
6928. 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
6929. 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
6930. 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
6931. 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
6932. 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
6933. Long-term planning requires climate projections beyond 2100 D. Easterling et al. https://doi.org/10.1038/s41558-024-02085-0
6934. 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
6935. 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
6936. 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
6937. “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
6938. Changes in the North Atlantic Oscillation over the 20th century S. Outten & R. Davy https://doi.org/10.5194/wcd-5-753-2024
6939. 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
6940. 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
6941. Heat waves characteristics intensification across Indian smart cities M. Goyal et al. https://doi.org/10.1038/s41598-023-41968-8
6942. Long-Term Evolution of the Ozone Layer Under CMIP7 Scenarios M. Tkachenko & E. Rozanov https://doi.org/10.3390/atmos17010092
6943. 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
6944. 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
6945. 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
6946. 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
6947. 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
6948. 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
6949. 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
6950. 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
6951. 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
6952. 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
6953. 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
6954. Differentiable programming for Earth system modeling M. Gelbrecht et al. https://doi.org/10.5194/gmd-16-3123-2023
6955. 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
6956. 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
6957. 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
6958. 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
6959. 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
6960. 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
6961. 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
6962. 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
6963. 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
6964. 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
6965. 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
6966. CNN‐Based ENSO Forecasts With a Focus on SSTA Zonal Pattern and Physical Interpretation M. Sun et al. https://doi.org/10.1029/2023GL105175
6967. 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
6968. 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
6969. 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
6970. 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
6971. 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
6972. Drought Projections in the Northernmost Region of South America Under Different Climate Change Scenarios H. Arregocés et al. https://doi.org/10.3390/earth6040122
6973. 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
6974. 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
6975. Global decline in ocean memory over the 21st century H. Shi et al. https://doi.org/10.1126/sciadv.abm3468
6976. 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
6977. 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
6978. 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
6979. Diurnal cycle of precipitation over global monsoon systems in CMIP6 simulations C. Tao et al. https://doi.org/10.1007/s00382-022-06546-0
6980. 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
6981. 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
6982. 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
6983. Effect of Plankton Composition Shifts in the North Atlantic on Atmospheric pCO2 A. Boot et al. https://doi.org/10.1029/2022GL100230
6984. 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
6985. 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
6986. 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
6987. 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
6988. 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
6989. Humans drive future water scarcity changes across all Shared Socioeconomic Pathways N. Graham et al. https://doi.org/10.1088/1748-9326/ab639b
6990. 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
6991. 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
6992. 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
6993. CMIP7 data request: Earth system priorities and opportunities M. McPartland et al. https://doi.org/10.5194/gmd-19-2849-2026
6994. Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. https://doi.org/10.1029/2020GL092064
6995. Greater committed warming after accounting for the pattern effect C. Zhou et al. https://doi.org/10.1038/s41558-020-00955-x
6996. 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
6997. 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
6998. 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
6999. The physics of climate variability and climate change M. Ghil & V. Lucarini https://doi.org/10.1103/RevModPhys.92.035002
7000. 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
7001. 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
7002. 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
7003. On the assessment of the wave modeling uncertainty in wave climate projections H. Lobeto et al. https://doi.org/10.1088/1748-9326/ad0137
7004. 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
7005. Modulation of the Eastern Equatorial Pacific Seasonal Cycle by Tropical Instability Waves L. Maillard et al. https://doi.org/10.1029/2022GL100991
7006. 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
7007. Genetic diversity and environmental adaptation in Ethiopian tef K. Hein et al. https://doi.org/10.1093/g3journal/jkae303
7008. 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
7009. 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
7010. Systematic attribution of heatwaves to the emissions of carbon majors Y. Quilcaille et al. https://doi.org/10.1038/s41586-025-09450-9
7011. 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
7012. 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
7013. 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
7014. 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
7015. 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
7016. 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
7017. Transitions of the Atlantic Ocean circulation H. Dijkstra et al. https://doi.org/10.1038/s42254-026-00945-6
7018. Forecasting the groundwater levels in the Baltic through standardized index analysis A. Babre et al. https://doi.org/10.1016/j.wace.2024.100728
7019. 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
7020. The phase change in the annual cycle of sea surface temperature F. Yang & Z. Wu https://doi.org/10.1038/s41612-024-00591-8
7021. On Tanzania’s Precipitation Climatology, Variability, and Future Projection K. Borhara et al. https://doi.org/10.3390/cli8020034
7022. 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
7023. 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
7024. 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
7025. Uncertainty in carbon budget estimates due to internal climate variability K. Tokarska et al. https://doi.org/10.1088/1748-9326/abaf1b
7026. Climate change reduces frost exposure for high-value California orchard crops L. Parker et al. https://doi.org/10.1016/j.scitotenv.2020.143971
7027. 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
7028. 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
7029. 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
7030. 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
7031. 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
7032. 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
7033. 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
7034. 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
7035. 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
7036. 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
7037. 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
7038. Climate change scenario services: From science to facilitating action C. Auer et al. https://doi.org/10.1016/j.oneear.2021.07.015
7039. 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
7040. 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
7041. Inequality in human exposure to future climate extremes P. Hosseinzadehtalaei et al. https://doi.org/10.1038/s41467-025-63385-3
7042. 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
7043. 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
7044. 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
7045. Observational Assessment of Changes in Earth’s Energy Imbalance Since 2000 N. Loeb et al. https://doi.org/10.1007/s10712-024-09838-8
7046. 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
7047. 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
7048. 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
7049. Oceanic and Atmospheric Drivers of Post‐El‐Niño Chlorophyll Rebound in the Equatorial Pacific H. Lim et al. https://doi.org/10.1029/2021GL096113
7050. Temperature sensitivity of the mineral permafrost feedback at the continental scale E. Walsh et al. https://doi.org/10.1126/sciadv.adq4893
7051. Advanced Deep Learning Combined with Contribution Analysis for Interpretable ENSO Forecasting J. Tang et al. https://doi.org/10.3390/jmse14090806
7052. 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
7053. 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
7054. Generation of westerly wind bursts by forcing outside the tropics A. Sullivan et al. https://doi.org/10.1038/s41598-020-79655-7
7055. Quantifying the Occurrence of Record Hot Years Through Normalized Warming Trends X. Zeng et al. https://doi.org/10.1029/2020GL091626
7056. 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
7057. 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
7058. 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
7059. 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
7060. 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
7061. Floods across the eastern United States are projected to last longer H. Kim & G. Villarini https://doi.org/10.1038/s44304-024-00021-y
7062. Robust increase in population exposure to heat stress with increasing global warming N. Freychet et al. https://doi.org/10.1088/1748-9326/ac71b9
7063. Record-breaking western North Pacific subtropical high during 2023 Z. Wu et al. https://doi.org/10.1016/j.gr.2025.10.001
7064. Pervasive alterations to snow-dominated ecosystem functions under climate change W. Wieder et al. https://doi.org/10.1073/pnas.2202393119
7065. Irrigation and hydrometeorological extremes P. de Vrese & T. Stacke https://doi.org/10.1007/s00382-020-05337-9
7066. Overshooting the critical threshold for the Greenland ice sheet N. Bochow et al. https://doi.org/10.1038/s41586-023-06503-9
7067. 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
7068. 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
7069. 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
7070. Land use change impacts on climate extremes over the historical period M. Zhang et al. https://doi.org/10.1007/s00382-024-07375-z
7071. Ozone Variation Trends under Different CMIP6 Scenarios L. Shang et al. https://doi.org/10.3390/atmos12010112
7072. Federated and reusable processing of Earth observation data M. Mohr et al. https://doi.org/10.1038/s41597-025-04513-y
7073. 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
7074. Growing human-induced climate change fingerprint in regional weekly fire extremes S. Feng et al. https://doi.org/10.1038/s41612-025-01021-z
7075. 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
7076. Global wind energy resources decline under climate change A. Martinez & G. Iglesias https://doi.org/10.1016/j.energy.2023.129765
7077. 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
7078. Increasing impacts of summer extreme precipitation and heatwaves in eastern China Y. Yao et al. https://doi.org/10.1007/s10584-023-03610-4
7079. 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
7080. Reduced Tropical Climate Land Area Under Global Warming O. Adam et al. https://doi.org/10.1029/2022GL102546
7081. 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
7082. Agricultural risk assessment of compound dry and hot events in China Y. Zhang et al. https://doi.org/10.1016/j.agwat.2022.108128
7083. 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
7084. High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 R. Haarsma et al. https://doi.org/10.5194/gmd-9-4185-2016
7085. 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
7086. 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
7087. Assessing the Impact of Stratospheric Aerosol Injection on US Convective Weather Environments I. Glade et al. https://doi.org/10.1029/2023EF004041
7088. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. https://doi.org/10.5194/gmd-15-5371-2022
7089. 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
7090. 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
7091. The quiet crossing of ocean tipping points C. Heinze et al. https://doi.org/10.1073/pnas.2008478118
7092. Neglecting land–atmosphere feedbacks overestimates climate-driven increases in evapotranspiration S. Zhou & B. Yu https://doi.org/10.1038/s41558-025-02428-5
7093. 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
7094. 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
7095. 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
7096. 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
7097. Keeping science on keel when software moves D. Ahn et al. https://doi.org/10.1145/3382037
7098. 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
7099. 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
7100. 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
7101. 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
7102. 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
7103. Investigation of Added Value in Regional Climate Models for East Asian Storm Track Analysis U. Byun et al. https://doi.org/10.1029/2023JD039167
7104. 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
7105. 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
7106. 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
7107. Climate impacts of the El Niño–Southern Oscillation in Africa W. Cai et al. https://doi.org/10.1038/s43017-025-00705-7
7108. 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
7109. 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
7110. 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
7111. 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
7112. 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
7113. 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
7114. 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
7115. 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
7116. 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
7117. Tropical convection regimes in climate models: evaluation with satellite observations A. Steiner et al. https://doi.org/10.5194/acp-18-4657-2018
7118. 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
7119. Heatwave magnitude impact over Indian cities: CMIP 6 projections M. Goyal et al. https://doi.org/10.1007/s00704-023-04599-7
7120. Turbulent isopycnal mixing dominates thermohaline transformations of intermediate ocean waters F. Sévellec et al. https://doi.org/10.1038/s41467-025-64806-z
7121. 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
7122. 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
7123. 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
7124. 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
7125. 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
7126. 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
7127. Simulated methane emissions from Arctic ponds are highly sensitive to warming Z. Rehder et al. https://doi.org/10.5194/bg-20-2837-2023
7128. Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields Under Climate Change M. Zachariah et al. https://doi.org/10.1029/2021GL094702
7129. 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
7130. 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
7131. IPCC baseline scenarios have over-projected CO2 emissions and economic growth M. Burgess et al. https://doi.org/10.1088/1748-9326/abcdd2
7132. Assessing resolution sensitivity in coupled climate simulations with AWI-CM3 M. Zapponini et al. https://doi.org/10.5194/gmd-19-3395-2026
7133. 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
7134. 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
7135. Accounting for moist processes in a sub‐grid orographic drag scheme S. Smith https://doi.org/10.1002/qj.4013
7136. 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
7137. 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
7138. 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
7139. 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
7140. 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
7141. 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
7142. 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
7143. 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
7144. A novel data-driven dynamical model for predicting future climate trends F. Ochieng https://doi.org/10.1007/s40808-024-02021-3
7145. 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
7146. 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
7147. 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
7148. Mean‐State Dependence of CO2‐Forced Tropical Atlantic Sector Climate Change A. Imbol Nkwinkwa et al. https://doi.org/10.1029/2021GL093803
7149. 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
7150. Evaluation of Dynamically Downscaled CMIP6‐CCAM Models Over Australia S. Chapman et al. https://doi.org/10.1029/2023EF003548
7151. Rapid subsurface warming in the subpolar North Atlantic from freshening L. Menviel et al. https://doi.org/10.1038/s41467-026-70635-5
7152. 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
7153. Forest-savanna stability in India under human interventions and changing climate N. Dubey et al. https://doi.org/10.1038/s43247-025-03076-5
7154. 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
7155. 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
7156. 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
7157. Advancing interpretability of machine-learning prediction models L. Trenary & T. DelSole https://doi.org/10.1017/eds.2022.13
7158. 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
7159. 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
7160. Future population transgress climatic risk boundaries of extreme temperature and precipitation T. Sano & T. Oki https://doi.org/10.1088/2515-7620/ac85a1
7161. Tropical and subtropical Asia's valued tree species under threat H. Gaisberger et al. https://doi.org/10.1111/cobi.13873
7162. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. https://doi.org/10.1029/2020MS002126
7163. Anthropogenic fingerprints in daily precipitation revealed by deep learning Y. Ham et al. https://doi.org/10.1038/s41586-023-06474-x
7164. 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
7165. 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
7166. Toward Consistent Observational Constraints in Climate Predictions and Projections G. Hegerl et al. https://doi.org/10.3389/fclim.2021.678109
7167. 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
7168. 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
7169. 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
7170. 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
7171. 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
7172. Principle-based adept predictions of global warming from climate mean states M. Cai et al. https://doi.org/10.1093/nsr/nwae442
7173. 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
7174. 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
7175. Atmospheric black carbon in the climate system Ö. Gustafsson et al. https://doi.org/10.1038/s43017-026-00773-3
7176. 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
7177. 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
7178. Why the relational data model matters for climate data management E. Cimadevilla https://doi.org/10.1016/j.cageo.2025.105931
7179. 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
7180. 21st Century Global and Regional Surface Temperature Projections N. Ma et al. https://doi.org/10.1029/2022EA002662
7181. 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
7182. 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
7183. The impacts of global warming on arid climate and drought features J. Kim et al. https://doi.org/10.1007/s00704-022-04348-2
7184. 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
7185. 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
7186. 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
7187. 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
7188. 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
7189. 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
7190. 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
7191. Anthropogenic warming is accelerating recent heatwaves in Africa V. Bobde et al. https://doi.org/10.1038/s43247-025-02578-6
7192. 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
7193. 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
7194. Indian Ocean Dipole Changes During the Last Interglacial Modulated by the Mean Oceanic Climatology S. Liu et al. https://doi.org/10.1029/2023GL106153
7195. 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
7196. 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
7197. 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
7198. 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
7199. 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
7200. 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
7201. 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
7202. 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
7203. 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
7204. Significant Increase of the Global Population Exposure to Increased Precipitation Extremes in the Future H. Chen & J. Sun https://doi.org/10.1029/2020EF001941
7205. Reversed tropical-Arctic teleconnection under climate change W. Tang et al. https://doi.org/10.1038/s41612-025-01243-1
7206. 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
7207. 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
7208. 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
7209. Exogenous heatwaves amplify heat risks in China under anthropogenic climate change G. Wang et al. https://doi.org/10.1007/s11430-025-1862-x
7210. 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
7211. Amplification of the Temperature Seasonality in the Mediterranean Region Under Anthropogenic Climate Change X. Feng et al. https://doi.org/10.1029/2022GL099658
7212. 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
7213. 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
7214. AMOC weakening in response to global and regional reductions in aerosol emissions R. Allen et al. https://doi.org/10.1088/2752-5295/ae63ef
7215. 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
7216. Reduced ITCZ meridional asymmetry under global warming in CMIP6 models H. Lu & C. Yuan https://doi.org/10.1016/j.aosl.2026.100813
7217. 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
7218. 沙漠演变及沙漠化研究的新趋向 化. 鹿 https://doi.org/10.1360/SSTe-2024-0362
7219. 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
7220. 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
7221. CMIP5 and CMIP6: contrasting perspectives on Nigeria’s climate transformation B. Tanimu et al. https://doi.org/10.1007/s00704-024-05272-3
7222. Study of hydrologically critical subbasins under climate change S. Gaur et al. https://doi.org/10.2166/wcc.2023.038
7223. Impact of Climate Change on Drought Dynamics in the Ganale Dawa River Basin, Ethiopia M. Abdulahi et al. https://doi.org/10.3390/cli13110231
7224. Globally Increasing Atmospheric Aridity Over the 21st Century Z. Fang et al. https://doi.org/10.1029/2022EF003019
7225. 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
7226. Hydroclimatic Change Detection Based on Observations and Bias-Corrected CMIP6 Projections Under SSP Scenarios P. Spor et al. https://doi.org/10.3390/su18084014
7227. Amplified Madden–Julian oscillation impacts in the Pacific–North America region W. Zhou et al. https://doi.org/10.1038/s41558-020-0814-0
7228. Amplification of warming on the Tibetan Plateau C. Zhang et al. https://doi.org/10.1016/j.accre.2023.07.004
7229. When is an ensemble like a sample? “Model-based” inferences in climate modeling C. Dethier https://doi.org/10.1007/s11229-022-03477-5
7230. 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
7231. 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
7232. 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
7233. A climate model projection weighting scheme accounting for performance and interdependence R. Knutti et al. https://doi.org/10.1002/2016GL072012
7234. 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
7235. 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
7236. Atlantic Meridional Overturning Circulation slowdown suppresses Atlantic Niño variability P. Freire-Souza et al. https://doi.org/10.1038/s41612-025-01222-6
7237. 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
7238. 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
7239. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. https://doi.org/10.5194/gmd-9-3461-2016
7240. 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
7241. Global Marine Heatwaves and Cold‐Spells in Present Climate to Future Projections Y. Yao et al. https://doi.org/10.1029/2022EF002787
7242. 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
7243. 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
7244. 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
7245. 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
7246. 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
7247. 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
7248. The Indonesian Throughflow circulation under solar geoengineering C. Shen et al. https://doi.org/10.5194/esd-14-1317-2023
7249. 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
7250. 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
7251. 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
7252. Global surface air temperatures in CMIP6: historical performance and future changes X. Fan et al. https://doi.org/10.1088/1748-9326/abb051
7253. Redistribution of the percentage of tropical cyclone energy in the globe Q. Wang & Z. Tan https://doi.org/10.1007/s00382-024-07458-x
7254. 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
7255. 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
7256. 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
7257. Shifting potential for high-resolution climate reconstructions under global warming J. Jevšenak et al. https://doi.org/10.1016/j.quascirev.2023.108486
7258. Decadal Prediction of Marine Heatwaves in MPI‐ESM L. Hövel et al. https://doi.org/10.1029/2022GL099347
7259. 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
7260. 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
7261. 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
7262. 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
7263. Tracing human influence on rising surface air temperature in Venezuela B. Swain et al. https://doi.org/10.1038/s41598-024-79671-x
7264. Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh M. Hossain et al. https://doi.org/10.1002/sae2.70116
7265. 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
7266. 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
7267. Counterbalancing influences of aerosols and greenhouse gases on atmospheric rivers S. Baek & J. Lora https://doi.org/10.1038/s41558-021-01166-8
7268. 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
7269. Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity M. Rugenstein & K. Armour https://doi.org/10.1029/2021GL092983
7270. Radiocarbon in the Land and Ocean Components of the Community Earth System Model T. Frischknecht et al. https://doi.org/10.1029/2021GB007042
7271. 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
7272. Storylines of extreme summer temperatures in southern South America S. Suli et al. https://doi.org/10.5194/wcd-7-149-2026
7273. 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
7274. 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
7275. 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
7276. The impact of rocket-emitted chlorine on stratospheric ozone Y. Li et al. https://doi.org/10.5194/acp-26-3621-2026
7277. 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
7278. 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
7279. 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
7280. 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
7281. 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
7282. 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
7283. 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
7284. Potential Weakening of the June 2012 North American Derecho Under Future Warming Conditions J. Li et al. https://doi.org/10.1029/2022JD037494
7285. Multi-country pine species allocation under different climate scenarios R. Cavalheiro et al. https://doi.org/10.1016/j.ecolmodel.2025.111330
7286. 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
7287. 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
7288. 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
7289. 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
7290. North Atlantic Cooling is Slowing Down Mass Loss of Icelandic Glaciers B. Noël et al. https://doi.org/10.1029/2021GL095697
7291. 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
7292. 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
7293. Projected land ice contributions to twenty-first-century sea level rise T. Edwards et al. https://doi.org/10.1038/s41586-021-03302-y
7294. 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
7295. Attributing European runoff changes to climatic drivers under future conditions I. Clemenzi et al. https://doi.org/10.1016/j.jhydrol.2025.134794
7296. 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
7297. 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
7298. Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model O. Boucher et al. https://doi.org/10.1029/2019MS002010
7299. 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
7300. Ocean Barotropic Vorticity Balances: Theory and Application to Numerical Models R. Waldman & H. Giordani https://doi.org/10.1029/2022MS003276
7301. 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
7302. Human Activities Enhance Radiation Forcing through Surface Albedo Associated with Vegetation in Beijing X. Tang et al. https://doi.org/10.3390/rs12050837
7303. 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
7304. 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
7305. 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
7306. Evaluation of CMIP6 AMIP climate simulations with the ACCESS-AM2 model R. Bodman et al. https://doi.org/10.1071/ES19033
7307. 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
7308. 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
7309. Soil Moisture–Drought Nexus across Brazil: Identifying Current Issues and Future Perspectives L. Bertotto et al. https://doi.org/10.1061/JWRMD5.WRENG-6575
7310. 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
7311. Global Cropland Exposure to Compound Drought Heatwave Events Under Future Climate Change A. Wang et al. https://doi.org/10.2139/ssrn.4136311
7312. 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
7313. Stronger Arctic amplification from anthropogenic aerosols than from greenhouse gases Y. Wu et al. https://doi.org/10.1038/s41612-024-00696-0
7314. 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
7315. QBO Changes in CMIP6 Climate Projections N. Butchart et al. https://doi.org/10.1029/2019GL086903
7316. 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
7317. 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
7318. 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
7319. 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
7320. 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
7321. 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
7322. 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
7323. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. https://doi.org/10.1029/2020GL090849
7324. 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
7325. 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
7326. 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
7327. 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
7328. Mechanisms and Impacts of Earth System Tipping Elements S. Wang et al. https://doi.org/10.1029/2021RG000757
7329. 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
7330. Future Indian Ocean warming patterns S. Sharma et al. https://doi.org/10.1038/s41467-023-37435-7
7331. 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
7332. Regional ensemble of CMIP6 global climate models for Sakha (Yakutia) Republic, Northern Eurasia N. Tananaev https://doi.org/10.1016/j.polar.2024.101066
7333. 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
7334. Evaluation of precipitation in CMIP6 over the Yangtze River Basin Y. Li et al. https://doi.org/10.1016/j.atmosres.2020.105406
7335. Emerging heat stress patterns across India under future climate scenarios M. Molina et al. https://doi.org/10.1038/s41598-026-36299-3
7336. 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
7337. 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
7338. Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. https://doi.org/10.1029/2021EF002252
7339. 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
7340. 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
7341. Seasonal CO2 amplitude in northern high latitudes Z. Liu et al. https://doi.org/10.1038/s43017-024-00600-7
7342. Regional temperature extremes and vulnerability under net zero CO2 emissions L. Cassidy et al. https://doi.org/10.1088/1748-9326/ad114a
7343. 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
7344. Antarctic Sea Ice Projections Constrained by Historical Ice Cover and Future Global Temperature Change C. Holmes et al. https://doi.org/10.1029/2021GL097413
7345. Sub-seasonal to decadal predictions in support of climate services M. Osman et al. https://doi.org/10.1016/j.cliser.2023.100397
7346. 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
7347. 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
7348. ExoPlaSim: Extending the Planet Simulator for exoplanets A. Paradise et al. https://doi.org/10.1093/mnras/stac172
7349. Global Land Monsoon Precipitation Changes in CMIP6 Projections Z. Chen et al. https://doi.org/10.1029/2019GL086902
7350. 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
7351. Snow Depth Trends from CMIP6 Models Conflict with Observational Evidence X. Zhong et al. https://doi.org/10.1175/JCLI-D-21-0177.1
7352. 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
7353. 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
7354. 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
7355. Exploring the Tropical Pacific Manifold in Models and Observations F. Falasca & A. Bracco https://doi.org/10.1103/PhysRevX.12.021054
7356. 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
7357. 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
7358. Greater Climate Sensitivity and Variability on TRAPPIST-1e than Earth A. Hochman et al. https://doi.org/10.3847/1538-4357/ac866f
7359. 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
7360. Atlantic origin of the increasing Asian westerly jet interannual variability L. Lin et al. https://doi.org/10.1038/s41467-024-46543-x
7361. Learning to Correct Climate Projection Biases B. Pan et al. https://doi.org/10.1029/2021MS002509
7362. 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
7363. 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
7364. 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
7365. 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
7366. 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
7367. Rapid attribution prototype for extreme high temperature events in China Y. Sun et al. https://doi.org/10.1016/j.accre.2025.06.004
7368. Evaluation of the CMIP6 planetary albedo climatology using satellite observations B. Jian et al. https://doi.org/10.1007/s00382-020-05277-4
7369. 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
7370. Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme J. Shin & J. Baik https://doi.org/10.1029/2022MS003578
7371. 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
7372. 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
7373. Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6 M. Menary et al. https://doi.org/10.1029/2018MS001495
7374. Atmospheric regional climate projections for the Baltic Sea region until 2100 O. Christensen et al. https://doi.org/10.5194/esd-13-133-2022
7375. 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
7376. 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
7377. 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
7378. Committed Global Warming Risks Triggering Multiple Climate Tipping Points J. Abrams et al. https://doi.org/10.1029/2022EF003250
7379. Shifting dominant periods in extreme climate impacts under global warming K. Zantout et al. https://doi.org/10.1038/s41467-025-65600-7
7380. Historical diurnal temperature range trends constrain future climate projections A. Liu et al. https://doi.org/10.1038/s43247-026-03185-9
7381. 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
7382. Relative Importance of Large‐Scale Environmental Variables to the World‐Wide Variability of Thunderstorms N. Liu et al. https://doi.org/10.1029/2021JD036065
7383. Projected river water temperatures in Poland under climate change scenarios W. Dong et al. https://doi.org/10.1016/j.ejrh.2025.102368
7384. 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
7385. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
7386. 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
7387. 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
7388. 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
7389. 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
7390. 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
7391. 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
7392. Interannual Variability of Extreme Precipitation during the Boreal Summer over Northwest China Q. Ma et al. https://doi.org/10.3390/rs15030785
7393. Compound climate risks threaten aquatic food system benefits M. Tigchelaar et al. https://doi.org/10.1038/s43016-021-00368-9
7394. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. https://doi.org/10.1007/s00382-023-06696-9
7395. 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
7396. Near-term regional climate change in East Africa Y. Choi et al. https://doi.org/10.1007/s00382-022-06591-9
7397. Three-dimensional-based global drought projection under global warming tendency Y. Ji et al. https://doi.org/10.1016/j.atmosres.2023.106812
7398. 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
7399. 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
7400. 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
7401. Evaluation of CMIP6 models in reproducing observed rainfall over Ethiopia D. Berhanu et al. https://doi.org/10.2166/wcc.2023.502
7402. 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
7403. 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
7404. 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
7405. 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
7406. 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
7407. 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
7408. 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
7409. 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
7410. Increased moisture stress and weakened resilience to aridity limit global greening R. Kashyap & J. Kuttippurath https://doi.org/10.1016/j.scitotenv.2026.181416
7411. 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
7412. 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
7413. 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
7414. 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
7415. 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
7416. 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
7417. 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
7418. Clean air policies are key for successfully mitigating Arctic warming K. von Salzen et al. https://doi.org/10.1038/s43247-022-00555-x
7419. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun https://doi.org/10.1029/2023GL103515
7420. 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
7421. 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
7422. Projecting marine species range shifts from only temperature can mask climate vulnerability J. McHenry et al. https://doi.org/10.1111/gcb.14828
7423. 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
7424. 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
7425. 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
7426. 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
7427. 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
7428. 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
7429. 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
7430. 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
7431. 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
7432. 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
7433. 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
7434. Topographic and climatic controls of peatland distribution on the Tibetan Plateau J. Sun et al. https://doi.org/10.1038/s41598-023-39699-x
7435. 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
7436. Improvements in Circumpolar Southern Hemisphere Extratropical Atmospheric Circulation in CMIP6 Compared to CMIP5 T. Bracegirdle et al. https://doi.org/10.1029/2019EA001065
7437. 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
7438. Amazon drought amplifies SST warming in the North Tropical Atlantic W. Lou et al. https://doi.org/10.1007/s00382-024-07400-1
7439. 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
7440. 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
7441. 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
7442. 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
7443. Causal mechanisms of subpolar gyre variability in CMIP6 models S. Falkena et al. https://doi.org/10.5194/esd-16-1833-2025
7444. 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
7445. Prediction of forest fire occurrence in China under climate change scenarios Y. Shao et al. https://doi.org/10.1007/s11676-023-01605-6
7446. 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
7447. Strengthening atmospheric circulation and trade winds slowed tropical Pacific surface warming M. Latif et al. https://doi.org/10.1038/s43247-023-00912-4
7448. 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
7449. 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
7450. Evaluating CMIP6 Global Climate Models Performances Over Nigeria: An Integrated Approach M. Shiru et al. https://doi.org/10.1002/joc.8739
7451. Global prediction of gross primary productivity under future climate change Q. Lu et al. https://doi.org/10.1016/j.scitotenv.2023.169239
7452. 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
7453. Learning from weather and climate science to prepare for a future pandemic S. Schemm et al. https://doi.org/10.1073/pnas.2209091120
7454. 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
7455. A copula-based multivariate flood frequency analysis under climate change effects M. Khajehali et al. https://doi.org/10.1038/s41598-024-84543-5
7456. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. https://doi.org/10.1016/j.cageo.2022.105072
7457. 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
7458. 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
7459. 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
7460. 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
7461. 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
7462. 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
7463. Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. https://doi.org/10.1029/2021EF002499
7464. Global evaluation of simulated surface shortwave radiation in CMIP6 models J. He et al. https://doi.org/10.1016/j.atmosres.2023.106896
7465. 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
7466. 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
7467. 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
7468. 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
7469. 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
7470. 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
7471. 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
7472. 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
7473. 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
7474. Aerosols heat up the Himalayan climate S. Ramachandran et al. https://doi.org/10.1016/j.scitotenv.2023.164733
7475. Multi-annual predictions of hot, dry and hot-dry compound extremes A. Aranyossy et al. https://doi.org/10.5194/esd-16-2225-2025
7476. Connecting physical and social science datasets: challenges and pathways forward S. Shah et al. https://doi.org/10.1088/2515-7620/acf6b4
7477. 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
7478. 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
7479. 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
7480. 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
7481. 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
7482. 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
7483. 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
7484. 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
7485. 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
7486. 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
7487. Contemporary Issues in Québec’s Temperate Forest — Part 4: Climate Change L. Duchesne et al. https://doi.org/10.5558/tfc2026-011
7488. Зміна клімату міста Львова: ретроспективна та перспективна характеристики І. Круглов et al. https://doi.org/10.30970/vgg.2024.57.13664
7489. 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
7490. 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
7491. A Moderate Mitigation Can Significantly Delay the Emergence of Compound Hot Extremes F. Ma et al. https://doi.org/10.1029/2021JD035427
7492. 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
7493. The Iceberg Model of Change: A taxonomy differentiating approaches to change C. Mahringer et al. https://doi.org/10.1016/j.heliyon.2025.e41952
7494. 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
7495. Assessing Precipitation Over the Amazon Basin as Simulated by a Storm‐Resolving Model L. Paccini & B. Stevens https://doi.org/10.1029/2022JD037436
7496. Deciphering China's Complex Pattern of Summer Precipitation Trends M. Li et al. https://doi.org/10.1029/2022EF002797
7497. 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
7498. 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
7499. 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
7500. 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
7501. Early-twentieth-century cold bias in ocean surface temperature observations S. Sippel et al. https://doi.org/10.1038/s41586-024-08230-1
7502. 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
7503. 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
7504. Abyssal ocean overturning slowdown and warming driven by Antarctic meltwater Q. Li et al. https://doi.org/10.1038/s41586-023-05762-w
7505. 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
7506. 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
7507. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
7508. 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
7509. 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
7510. Pervasive Permafrost Thaw Exacerbates Future Risk of Water Shortage Across the Tibetan Plateau T. Wang et al. https://doi.org/10.1029/2022EF003463
7511. 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
7512. Enjeux contemporains en forêt tempérée au Québec — Partie 4 : Les changements climatiques L. Duchesne et al. https://doi.org/10.5558/tfc2026-012
7513. 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
7514. 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
7515. 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
7516. 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
7517. 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
7518. 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
7519. 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
7520. 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
7521. 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
7522. 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
7523. 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
7524. 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
7525. 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
7526. 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
7527. Subsurface Cooling in the Tropical Pacific Under a Warming Climate W. Ju et al. https://doi.org/10.1029/2021JC018225
7528. 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
7529. 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
7530. An Overview of Interactions and Feedbacks Between Ice Sheets and the Earth System J. Fyke et al. https://doi.org/10.1029/2018RG000600
7531. Projections of central Arctic summer sea surface temperatures in CMIP6 J. Han et al. https://doi.org/10.1088/1748-9326/ad0c8a
7532. 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
7533. 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
7534. Inequalities in Air Pollution Exposure and Attributable Mortality in a Low Carbon Future C. Reddington et al. https://doi.org/10.1029/2023EF003697
7535. 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
7536. 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
7537. 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
7538. Robust Evaluation of ENSO in Climate Models: How Many Ensemble Members Are Needed? J. Lee et al. https://doi.org/10.1029/2021GL095041
7539. 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
7540. 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
7541. Interannual Covariation of the North American and African Summer Monsoons W. Luo et al. https://doi.org/10.1002/joc.8649
7542. 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
7543. 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
7544. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. https://doi.org/10.1038/s43017-023-00456-3
7545. Towards operational predictions of the near-term climate Y. Kushnir et al. https://doi.org/10.1038/s41558-018-0359-7
7546. 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
7547. 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
7548. 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
7549. Summer heat sources changes over the Tibetan Plateau in CMIP6 models Z. Xie & B. Wang https://doi.org/10.1088/1748-9326/ac0279
7550. An assessment of the subduction rate in the CMIP6 historical experiment S. Liu et al. https://doi.org/10.1007/s13131-022-2108-z
7551. 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
7552. Emerging low-cloud feedback and adjustment in global satellite observations P. Ceppi et al. https://doi.org/10.5194/acp-26-4153-2026
7553. 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
7554. 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
7555. The Pacific Equatorial Undercurrent in Three Generations of Global Climate Models and Glider Observations K. Karnauskas et al. https://doi.org/10.1029/2020JC016609
7556. Distributional Response of <i>Paeonia Decomposita</i> to Climate Change and Conservation Strategies M. Liu et al. https://doi.org/10.15244/pjoes/188894
7557. 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
7558. 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
7559. 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
7560. 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
7561. 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
7562. 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
7563. 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
7564. 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
7565. 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
7566. 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
7567. 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
7568. 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
7569. Peak refreezing in the Greenland firn layer under future warming scenarios B. Noël et al. https://doi.org/10.1038/s41467-022-34524-x
7570. 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
7571. Regional disparities and seasonal differences in climate risk to rice labour C. Simpson et al. https://doi.org/10.1088/1748-9326/ac3288
7572. 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
7573. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. https://doi.org/10.5194/acp-22-2095-2022
7574. 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
7575. 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
7576. 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
7577. 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
7578. A long-term decline in downward surface solar radiation F. Song et al. https://doi.org/10.1093/nsr/nwaf007
7579. 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
7580. Marine heatwaves and cold-spells in global coral reef zones Y. Yao & C. Wang https://doi.org/10.1016/j.pocean.2022.102920
7581. 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
7582. 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
7583. 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
7584. 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
7585. 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
7586. 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
7587. 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
7588. 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
7589. 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
7590. Future Directions in Precipitation Science F. Tapiador et al. https://doi.org/10.3390/rs13061074
7591. 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
7592. 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
7593. 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
7594. 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
7595. Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil D. Araujo et al. https://doi.org/10.5327/Z2176-94781868
7596. 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
7597. 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
7598. 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
7599. 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
7600. 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
7601. 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
7602. Accelerated China’s cold regions contraction under climate warming X. Wang et al. https://doi.org/10.1016/j.gr.2025.08.004
7603. 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
7604. 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
7605. 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
7606. 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
7607. 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
7608. 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
7609. 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
7610. Reflexive climate service infrastructure relations P. Stegmaier et al. https://doi.org/10.1016/j.cliser.2020.100151
7611. 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
7612. Climate Change Impacts on Agricultural Suitability in Rio Grande do Sul, Brazil E. Haggerty et al. https://doi.org/10.3390/environments12070222
7613. 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
7614. How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
7615. 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
7616. 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
7617. 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
7618. Global rainbow distribution under current and future climates K. Carlson et al. https://doi.org/10.1016/j.gloenvcha.2022.102604
7619. 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
7620. Using artificial intelligence to identify CMIP6 models from daily SLP maps P. Yiou & S. Thao https://doi.org/10.1038/s41612-025-01246-y
7621. 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
7622. Global concurrent climate extremes exacerbated by anthropogenic climate change S. Zhou et al. https://doi.org/10.1126/sciadv.abo1638
7623. 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
7624. Chaotic behavior learning via information tracking J. Ren et al. https://doi.org/10.1016/j.chaos.2023.113927
7625. Multi-model ensemble of frost risks across East Asia (1850–2100) J. Richards & P. Brimblecombe https://doi.org/10.1007/s10584-024-03723-4
7626. An implicit barotropic mode solver for MPAS-ocean using a modern Fortran solver interface H. Kang et al. https://doi.org/10.1177/10943420231205601
7627. 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
7628. Multimodel Surface Temperature Responses to Removal of U.S. Sulfur Dioxide Emissions A. Conley et al. https://doi.org/10.1002/2017JD027411
7629. 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
7630. 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
7631. 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
7632. 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
7633. 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
7634. Observational constraints imply limited future Atlantic meridional overturning circulation weakening D. Bonan et al. https://doi.org/10.1038/s41561-025-01709-0
7635. 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
7636. 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
7637. 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
7638. 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
7639. 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
7640. 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
7641. 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
7642. 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
7643. Atmospheric destabilization leads to Arctic Ocean winter surface wind intensification M. Zapponini & H. Goessling https://doi.org/10.1038/s43247-024-01428-1
7644. 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
7645. Increased future ocean heat uptake constrained by Antarctic sea ice extent L. Vogt et al. https://doi.org/10.5194/esd-16-1453-2025
7646. 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
7647. 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
7648. 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
7649. 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
7650. 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
7651. 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
7652. 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
7653. Opposite Impacts of Interannual and Decadal Pacific Variability in the Extratropics M. Seabrook et al. https://doi.org/10.1029/2022GL101226
7654. 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
7655. 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
7656. Pacific Decadal Oscillation Influences Tropical Oxygen Minimum Zone Extent and Obscures Anthropogenic Changes M. Poupon et al. https://doi.org/10.1029/2022GL102123
7657. Adiabatic and Diabatic Signatures of Ocean Temperature Variability R. Holmes et al. https://doi.org/10.1175/JCLI-D-21-0695.1
7658. 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
7659. 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
7660. 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
7661. 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
7662. 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
7663. 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
7664. 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
7665. 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
7666. Ubiquity of human-induced changes in climate variability K. Rodgers et al. https://doi.org/10.5194/esd-12-1393-2021
7667. 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
7668. 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
7669. 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
7670. 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
7671. 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
7672. Projected ENSO teleconnection on the Southeast Asian climate under global warming D. Nguyen–Le https://doi.org/10.1088/1748-9326/ad0d3e
7673. Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
7674. 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
7675. 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
7676. 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
7677. Refined Assessment and Future Projections of Indian Summer Monsoon Rainfall Using CMIP6 Models J. Li et al. https://doi.org/10.3390/w15244305
7678. Elevation-dependent pattern of net CO2 uptake across China D. Wei et al. https://doi.org/10.1038/s41467-024-46930-4
7679. 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
7680. 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
7681. 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
7682. 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
7683. Constraining Decadal Variability Yields Skillful Projections of Near‐Term Climate Change R. Mahmood et al. https://doi.org/10.1029/2021GL094915
7684. 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
7685. Climate change decisive for Asia’s snow meltwater supply P. Kraaijenbrink et al. https://doi.org/10.1038/s41558-021-01074-x
7686. Seasonal Changes in Atmospheric Heat Transport to the Arctic Under Increased CO2 L. Hahn et al. https://doi.org/10.1029/2023GL105156
7687. How Exceptional Was the 2015–2019 Central American Drought? T. Anderson et al. https://doi.org/10.1029/2023GL105391
7688. 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
7689. Rising Air-Conditioning Use Intensifies Global Warming H. Zhang et al. https://doi.org/10.1038/s41467-026-69393-1
7690. 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
7691. The 2023 extreme coastal El Niño: Atmospheric and air-sea coupling mechanisms Q. Peng et al. https://doi.org/10.1126/sciadv.adk8646
7692. 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
7693. CO2 fertilization enhances vegetation productivity and reduces ecological drought in India N. Dubey & S. Ghosh https://doi.org/10.1088/1748-9326/acd5e7
7694. Storylines of Sahel Precipitation Change: Roles of the North Atlantic and Euro‐Mediterranean Temperature P. Monerie et al. https://doi.org/10.1029/2023JD038712
7695. Could climate change exacerbate droughts in Bangladesh in the future? M. Rahman et al. https://doi.org/10.1016/j.jhydrol.2023.130096
7696. Disappearing landscapes: The Arctic at +2.7°C global warming J. Stroeve et al. https://doi.org/10.1126/science.ads1549
7697. 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
7698. 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
7699. WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting S. Rasp et al. https://doi.org/10.1029/2020MS002203
7700. Indian Summer Monsoon: Predictions and Applications S. Bhattacharyya et al. https://doi.org/10.1007/s41745-025-00491-7
7701. A Guide to Updating the US Government’s Social Cost of Carbon T. Carleton & M. Greenstone https://doi.org/10.1086/720988
7702. 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
7703. 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
7704. 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
7705. 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
7706. Uneven future greening across the northern high latitudes: Regional responses to rising CO2 K. Power https://doi.org/10.1016/j.ecolmodel.2025.111193
7707. Atlantic multidecadal variability and the implications for North European precipitation F. Börgel et al. https://doi.org/10.1088/1748-9326/ac5ca1
7708. 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
7709. 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
7710. 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
7711. 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
7712. Subseasonal variability and the “Arctic warming-Eurasia cooling” trend Z. Yin et al. https://doi.org/10.1016/j.scib.2023.02.009
7713. Not all biodiversity rich spots are climate refugia Á. Kocsis et al. https://doi.org/10.5194/bg-18-6567-2021
7714. 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
7715. 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
7716. Mechanisms of Future Changes in Equatorial Upwelling: CMIP5 Intermodel Analysis M. Terada et al. https://doi.org/10.1175/JCLI-D-19-0128.1
7717. Demystifying global climate models for use in the life sciences D. Schoeman et al. https://doi.org/10.1016/j.tree.2023.04.005
7718. SINGV-RCM: the convection-permitting regional climate model for Singapore V. Prasanna et al. https://doi.org/10.1007/s00382-024-07154-w
7719. 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
7720. 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
7721. Evaluation and Projection of Near-Surface Wind Speed over China Based on CMIP6 Models H. Deng et al. https://doi.org/10.3390/atmos12081062
7722. 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
7723. 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
7724. Future high-resolution El Niño/Southern Oscillation dynamics C. Wengel et al. https://doi.org/10.1038/s41558-021-01132-4
7725. Human activities increased compound drought and heat events over China during 1961–2014 X. Wang et al. https://doi.org/10.1002/joc.8625
7726. CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al. https://doi.org/10.5194/gmd-19-2945-2026
7727. 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
7728. 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
7729. 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
7730. 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
7731. 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
7732. 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
7733. 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
7734. 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
7735. 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
7736. 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
7737. 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
7738. 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
7739. 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
7740. 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
7741. 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
7742. 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
7743. 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
7744. 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
7745. Spatiotemporal variation of China’s mariculture potential under climate change X. Liu et al. https://doi.org/10.1007/s11160-023-09814-2
7746. Variability of surface climate in simulations of past and future K. Rehfeld et al. https://doi.org/10.5194/esd-11-447-2020
7747. Spatiotemporal variation of drought in Iraq for shared socioeconomic pathways M. Hamed et al. https://doi.org/10.1007/s00477-022-02343-7
7748. 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
7749. Constrained Emergence of Air Temperature Change Signal in Northern‐Central India From Background Variations K. Zhang et al. https://doi.org/10.1029/2022GL097736
7750. Observed poleward freshwater transport since 1970 T. Sohail et al. https://doi.org/10.1038/s41586-021-04370-w
7751. Southward-shift zonal wind patterns during ENSO in CMIP6 models Y. Gong & T. Li https://doi.org/10.1007/s00382-024-07374-0
7752. 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
7753. 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
7754. 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
7755. 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
7756. Vegetation-based climate mitigation in a warmer and greener World R. Alkama et al. https://doi.org/10.1038/s41467-022-28305-9
7757. 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
7758. 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
7759. 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
7760. 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
7761. 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
7762. Significant impact of forcing uncertainty in a large ensemble of climate model simulations J. Fyfe et al. https://doi.org/10.1073/pnas.2016549118
7763. 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
7764. 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
7765. 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
7766. 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
7767. The Atlantic inflow across the Greenland-Scotland ridge in global climate models (CMIP5) C. Heuzé et al. https://doi.org/10.1525/elementa.354
7768. 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
7769. 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
7770. 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
7771. 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
7772. Reparameterization Required After Model Structure Changes From Carbon Only to Carbon‐Nitrogen Coupling S. Wang et al. https://doi.org/10.1029/2021MS002798
7773. Projected ENSO influences on global crop yields using a climate-crop model ensemble J. Harrington-Tsunogai et al. https://doi.org/10.3354/cr01763
7774. 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
7775. Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations E. Gordon & N. Diffenbaugh https://doi.org/10.1029/2024GL112729
7776. 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
7777. 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
7778. 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
7779. 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
7780. 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
7781. 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
7782. 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
7783. 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
7784. 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
7785. 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
7786. GPP dominates the change of WUE trend in the future period H. Dong et al. https://doi.org/10.1007/s00704-026-06189-9
7787. Global Dust Variability Explained by Drought Sensitivity in CMIP6 Models Y. Aryal & S. Evans https://doi.org/10.1029/2021JF006073
7788. An analytic theory for the degree of Arctic Amplification W. Zhou et al. https://doi.org/10.1038/s41467-024-48469-w
7789. 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
7790. 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
7791. Synergies in environmental and agricultural water availability under climate change R. Lester et al. https://doi.org/10.1038/s41893-025-01720-8
7792. 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
7793. 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
7794. Evaluation of sea surface temperature interhemispheric dipole in CMIP6 historical simulations Q. An et al. https://doi.org/10.1007/s00382-024-07455-0
7795. 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
7796. 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
7797. Ecological forecasts highlight opposing effects of long‐term climate change on population demography F. Ventura et al. https://doi.org/10.1002/ecy.70330
7798. 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
7799. 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
7800. 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
7801. Projection of Future Summer Precipitation over the Yellow River Basin: A Moisture Budget Perspective J. Li et al. https://doi.org/10.3390/atmos11121307
7802. 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
7803. 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
7804. 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
7805. Sustainable Organic Farming Crops in Nepal in Climate Change Conditions: Predictions and Preferences V. Pechanec et al. https://doi.org/10.3390/land13101610
7806. 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
7807. 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
7808. Climate change in the High Mountain Asia in CMIP6 M. Lalande et al. https://doi.org/10.5194/esd-12-1061-2021
7809. 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
7810. 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
7811. 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
7812. Assessing Property Exposure to Cyclonic Winds under Climate Change E. Shu et al. https://doi.org/10.3390/cli11110217
7813. 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
7814. 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
7815. Diurnally asymmetric cloud cover trends amplify greenhouse warming H. Luo et al. https://doi.org/10.1126/sciadv.ado5179
7816. 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
7817. 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
7818. 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
7819. 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
7820. 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
7821. 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
7822. 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
7823. Indian Ocean mixed layer depth changes under global warming Z. Gao et al. https://doi.org/10.3389/fclim.2023.1112713
7824. The global hydrogen budget Z. Ouyang et al. https://doi.org/10.1038/s41586-025-09806-1
7825. 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
7826. 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
7827. 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
7828. Potential Suitable Habitats of Chili Pepper in China under Climate Change C. Deng et al. https://doi.org/10.3390/plants13071027
7829. 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
7830. Enhanced causal effect of ecosystem photosynthesis on respiration during heatwaves J. Ping et al. https://doi.org/10.1126/sciadv.adi6395
7831. 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
7832. Climate Change and Impact on Renewable Energies in the Azores Strategic Visions for Sustainability M. Meirelles et al. https://doi.org/10.3390/su142215174
7833. 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
7834. 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
7835. Mycorrhizal Distributions Impact Global Patterns of Carbon and Nutrient Cycling R. Braghiere et al. https://doi.org/10.1029/2021GL094514
7836. Assessing the performance of solar radiation management geoengineering simulations M. Wehner https://doi.org/10.1007/s11707-025-1180-z
7837. 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
7838. 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
7839. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
7840. A Prospectus for Constraining Rapid Cloud Adjustments in General Circulation Models C. Nam et al. https://doi.org/10.1029/2017MS001153
7841. Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl H. Bedair et al. https://doi.org/10.3389/fpls.2025.1461639
7842. 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
7843. 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
7844. 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
7845. 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
7846. Wind speed stilling and its recovery due to internal climate variability J. Wohland et al. https://doi.org/10.5194/esd-12-1239-2021
7847. Optimal Proxy Indices for Annual Marine Heatwave Characteristics Using Monthly Sea Surface Temperature G. Pak https://doi.org/10.1007/s12601-024-00158-x
7848. 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
7849. Shortened Duration of Global Warming Slowdowns with Elevated Greenhouse Gas Emissions F. Gao et al. https://doi.org/10.1007/s13351-021-0134-y
7850. Aerosol and Solar Irradiance Effects on Decadal Climate Variability and Predictability D. Zanchettin https://doi.org/10.1007/s40641-017-0065-y
7851. 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
7852. 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
7853. 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
7854. 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
7855. 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
7856. Climate warming is expanding dengue burden in the Americas and Asia M. Childs et al. https://doi.org/10.1073/pnas.2512350122
7857. Escalating Hot‐Dry Extremes Amplify Compound Fire Weather Risk X. Fan et al. https://doi.org/10.1029/2023EF003976
7858. Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al. https://doi.org/10.5194/esd-17-81-2026
7859. 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
7860. 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
7861. 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
7862. 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
7863. 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
7864. The COVID-19 lockdowns: a window into the Earth System N. Diffenbaugh et al. https://doi.org/10.1038/s43017-020-0079-1
7865. 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
7866. Editorial for the CORDEX-CORE Experiment I Special Issue F. Giorgi et al. https://doi.org/10.1007/s00382-021-05902-w
7867. 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
7868. 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
7869. 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
7870. Monitoring and modeling hydrologic conditions in Ukraine for hydropower generation M. McCarthy et al. https://doi.org/10.1016/j.ejrh.2025.102518
7871. 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
7872. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. https://doi.org/10.1002/joc.7834
7873. 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
7874. The JRA-3Q Reanalysis Y. KOSAKA et al. https://doi.org/10.2151/jmsj.2024-004
7875. 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
7876. Warming-induced contraction of tropical convection delays and reduces tropical cyclone formation G. Zhang https://doi.org/10.1038/s41467-023-41911-5
7877. Ocean heat content in 2023 L. Cheng et al. https://doi.org/10.1038/s43017-024-00539-9
7878. 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
7879. 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
7880. 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
7881. 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
7882. 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
7883. 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
7884. Effects of global greening phenomenon on water sustainability Y. Liu et al. https://doi.org/10.1016/j.catena.2021.105732
7885. 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
7886. 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
7887. 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
7888. 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
7889. Inconsistent Variations Between the Northern and Southern North Pacific Storm Track M. Yang et al. https://doi.org/10.1029/2021GL095552
7890. Climate, weather, space weather: model development in an operational context D. Folini https://doi.org/10.1051/swsc/2018021
7891. Cooling from aerosol–radiation interaction of anthropogenic coarse particles in China X. Wang et al. https://doi.org/10.1038/s41612-024-00773-4
7892. Emergent constraints on the future East Asian winter surface air temperature changes A. Liu et al. https://doi.org/10.1088/1748-9326/ad4a91
7893. State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. https://doi.org/10.1126/science.abq6872
7894. Time-varying global energy budget since 1880 from a reconstruction of ocean warming Q. Wu et al. https://doi.org/10.1073/pnas.2408839122
7895. 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
7896. Simulation of Present-Day Climate with the INMCM60 Model E. Volodin https://doi.org/10.1134/S0001433823010139