533 citations as recorded by crossref.

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8. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. 10.1002/joc.8131
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11. Future changes of global Annual and Seasonal Wind-Energy Production in CMIP6 projections considering air density variation G. Esnaola et al. 10.1016/j.energy.2024.132706
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18. Impact of Climate Change on the Habitat Suitability of Monochamus saltuarius Gebler (Coleoptera; Cerambycidae) and Its Natural Enemies in China X. Zhang et al. 10.3390/f15010033
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35. Projected Change in Temperature and Precipitation Over Africa from CMIP6 M. Almazroui et al. 10.1007/s41748-020-00161-x
36. Projected expansion of hottest climate zones over Africa during the mid and late 21st century A. Dajuma et al. 10.1088/2752-5295/acc08a
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42. Consistent Trends in Dry Spell Length in Recent Observations and Future Projections C. Wainwright et al. 10.1029/2021GL097231
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45. Projections of meteorological drought based on CMIP6 multi-model ensemble: A case study of Henan Province, China X. Zhao et al. 10.1016/j.jconhyd.2021.103887
46. Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
47. Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China L. Liu et al. 10.1016/j.ecoinf.2021.101324
48. Assessment of temperature and precipitation trends in Kashkadarya, Uzbekistan S. Khamidov et al. 10.1051/e3sconf/202336501005
49. Development of Climate and Earth System Models in China: Past Achievements and New CMIP6 Results T. Zhou et al. 10.1007/s13351-020-9164-0
50. Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models P. Bhanu Deepika et al. 10.1016/j.dynatmoce.2024.101456
51. Precipitation seasonality determines the potential distribution of Hyaena hyaena in Saudi Arabia: Towards conservation planning R. Khayat et al. 10.1016/j.jnc.2024.126618
52. Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0 W. Li et al. 10.1016/j.accre.2023.02.001
53. Climate feedback from plant physiological responses to increasing atmospheric CO2 in Earth system models Y. Li 10.1111/nph.20184
54. Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India R. Datta & M. Reddy 10.1007/s00477-023-02484-3
55. Assessment of suitable cultivation region for Panax notoginseng under different climatic conditions using MaxEnt model and high-performance liquid chromatography in China P. Zhan et al. 10.1016/j.indcrop.2021.114416
56. Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment R. Gupta et al. 10.1016/j.jhydrol.2024.131761
57. Thermal tolerance of the biological control agent Neolema abbreviata and its potential geographic distribution together with its host Tradescantia fluminensis in South Africa F. Chidawanyika et al. 10.1016/j.biocontrol.2020.104315
58. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo 10.1007/s41748-023-00370-0
59. Addressing conservation measures through fine-tuned species distribution models for an Italian endangered endemic anuran I. Bernabò et al. 10.1016/j.gecco.2022.e02302
60. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
61. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
62. 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. 10.5194/essd-14-3039-2022
63. Assessment of Model Performance in East Asia Based on the CMIP6 Multi-Model Ensemble J. Lee et al. 10.15531/KSCCR.2021.12.5.461
64. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Optical Properties Based on CMIP6 models L. Zhang et al. 10.1175/JCLI-D-21-0479.1
65. Delineating the Area for Sustainable Cultivation of Morinda officinalis Based on the MaxEnt Model J. Liang et al. 10.3390/agronomy14061134
66. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. 10.3390/atmos14061015
67. Carbon budget concept and its deviation through the pulse response lens V. Avakumović 10.5194/esd-15-387-2024
68. Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models J. Santos et al. 10.3390/land12040880
69. Climate change and the potential distribution of the glassy-winged sharpshooter (Homalodisca vitripennis), an insect vector of Xylella fastidiosa J. Rossi & J. Rasplus 10.1016/j.scitotenv.2022.160375
70. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. 10.1002/joc.7673
71. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. 10.1029/2022MS003475
72. Global Changes in Water Vapor 1979–2020 R. Allan et al. 10.1029/2022JD036728
73. Advances in CMIP6 INM-CM5 over CMIP5 INM-CM4 for precipitation simulation in South Korea Y. Song et al. 10.1016/j.atmosres.2020.105261
74. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
75. Present and Future Climate-Related Distribution of Narrow- versus Wide-Ranged Ostrya Species in China S. Tang et al. 10.3390/f12101366
76. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. 10.1029/2021EF002511
77. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. 10.1016/j.accre.2021.07.007
78. Towards better characterization of global warming impacts in the environment through climate classifications with improved global models A. Navarro et al. 10.1002/joc.7527
79. Projection of Changes in Rainfall and Drought Based on CMIP6 Scenarios on the Ca River Basin, Vietnam J. Shin et al. 10.3390/w16131914
80. Investigating Nonpoint Source and Pollutant Reduction Effects under Future Climate Scenarios: A SWAT-Based Study in a Highland Agricultural Watershed in Korea S. Sadiqi et al. 10.3390/w16010179
81. The benefits of being smaller: Consistent pattern for climate-induced range shift and morphological difference of three falconiforme species A. Xu et al. 10.1016/j.avrs.2023.100079
82. Assessing Soil Organic Carbon Stock Dynamics under Future Climate Change Scenarios in the Middle Qilian Mountains W. Liu et al. 10.3390/f12121698
83. Trends in carbon sink along the Belt and Road in the future under high emission scenario J. Peng et al. 10.1016/j.aosl.2022.100149
84. Decadal change of extreme consecutive dry days in spring over the middle and lower reaches of the Yangtze River around the early 2000s: The synergistic effect of mega-El Niño/Southern Oscillation, Atlantic Multidecadal Oscillation, and Arctic sea ice Z. Zeng & J. Sun 10.1016/j.atmosres.2021.105936
85. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun 10.1029/2023GL103515
86. Distinct Impacts of ENSO on Haze Pollution in the Beijing–Tianjin–Hebei Region between Early and Late Winters W. Zhao et al. 10.1175/JCLI-D-21-0459.1
87. Analysis of the distribution of Astragalus membranaceus var. mongholicus in Inner Mongolia under climate change using the GEE platform J. Guo et al. 10.1097/st9.0000000000000045
88. BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model T. Wu et al. 10.5194/gmd-14-2977-2021
89. Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang et al. 10.5194/os-18-839-2022
90. Exploring ice sheet model sensitivity to ocean thermal forcing and basal sliding using the Community Ice Sheet Model (CISM) M. Berdahl et al. 10.5194/tc-17-1513-2023
91. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. 10.1016/j.gloplacha.2023.104137
92. Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
93. Impact of climate changes in the suitable areas for Coffea arabica L. production in Mozambique: Agroforestry as an alternative management system to strengthen crop sustainability C. Cassamo et al. 10.1016/j.agee.2022.108341
94. Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau M. Li et al. 10.3390/plants13050645
95. How virtuous are the bias corrected CMIP6 models in the simulation of heatwave over different meteorological subdivisions of India? S. Singh et al. 10.1016/j.uclim.2024.101936
96. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. 10.3390/biology11081100
97. Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios M. Niazkar et al. 10.1007/s00704-022-04274-3
98. Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5 J. Kim et al. 10.3390/su13042066
99. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
100. Climatological diagnostics and subseasonal‐to‐seasonal predictions of Madden–Julian Oscillation events J. Wu et al. 10.1002/joc.7984
101. Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts H. Pereira et al. 10.1016/j.ocemod.2024.102395
102. Understanding mammal resource choices and subsistence strategies during the Holocene Climate Optimum: Integration of evidence from palaeodistribution modelling, animal bones and archaeological remains in the farming-pastoral ecotone, northern China Y. Qu 10.1016/j.jas.2024.106071
103. Temperature extremes nip invasive macrophyte Cabomba caroliniana A. Gray in the bud: potential geographic distributions and risk assessment based on future climate change and anthropogenic influences X. Xian et al. 10.3389/fpls.2024.1393663
104. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. 10.1029/2021GL096037
105. Modeling current and future potential distributions of desert locust Schistocerca gregaria (Forskål) under climate change scenarios using MaxEnt A. Saha et al. 10.1016/j.japb.2021.05.001
106. Climate Change Impacts on Water Resources in Arid and Semi-Arid Regions: A Case Study in Saudi Arabia M. El-Rawy et al. 10.3390/w15030606
107. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
108. MaxEnt Modeling for Predicting Suitable Habitat for Endangered Tree Keteleeria davidiana (Pinaceae) in China Q. Zhang et al. 10.3390/f14020394
109. Lagged Linkage between the Kara–Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models H. Yang et al. 10.3390/rs15082111
110. Gravel parameterization scheme and verification using BCC_CSM Y. Xu et al. 10.1007/s00704-022-04015-6
111. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. 10.1038/s41586-022-05364-y
112. Ensemble model-based analysis of the effects of environmental factors on the distribution and chemical composition of Asparagus cochinchinensis (Lour.) Merr. T. Zhang et al. 10.1016/j.indcrop.2024.118584
113. Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
114. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. 10.1007/s00376-020-0147-y
115. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. 10.1029/2019GL086875
116. Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe R. Wilson et al. 10.1016/j.ecoinf.2024.102537
117. Anthropogenic activities change population heat exposure much more than natural factors and land use change: An analysis of 2020−2100 under SSP-RCP scenarios in Chinese cities T. He et al. 10.1016/j.scs.2023.104699
118. Threatened birds face new distribution under future climate change on the Qinghai-Tibet Plateau (QTP) B. Li et al. 10.1016/j.ecolind.2023.110217
119. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
120. Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution X. Song et al. 10.1016/j.accre.2021.06.008
121. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2 C. Zhang et al. 10.1007/s11442-020-1778-8
122. Predicting potential global and future distributions of the African armyworm (Spodoptera exempta) using species distribution models I. Gómez-Undiano et al. 10.1038/s41598-022-19983-y
123. Prediction of potential distribution of soybean in the frigid region in China with MaxEnt modeling L. Gong et al. 10.1016/j.ecoinf.2022.101834
124. Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan S. Alsalal et al. 10.1007/s00704-024-05087-2
125. Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia M. El-Rawy et al. 10.3390/su15129513
126. How do coupled models represent the African Easterly Jets and their associated dynamics over Central Africa during the September–November rainy season? G. Kuete et al. 10.1007/s00382-022-06467-y
127. Assessing future changes in daily precipitation tails over India: insights from multimodel assessment of CMIP6 GCMs N. Gupta & S. Chavan 10.1007/s00704-024-04849-2
128. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. 10.1029/2022EF003179
129. 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. 10.3389/fmars.2023.1239885
130. Climate change will lead to range shifts and genetic diversity losses of dung beetles in the Gobi Desert and Mongolian Steppe C. Lim et al. 10.1038/s41598-024-66260-1
131. Characteristic changes in climate projections over Indus Basin using the bias corrected CMIP6 simulations K. Koteswara Rao et al. 10.1007/s00382-021-06108-w
132. Analysis of tropospheric warming and stratospheric cooling in the present and future climate from the suite of CMIP6 models T. Kumar et al. 10.1007/s00704-022-04136-y
133. Mango‐GPP: A Process‐Based Model for Simulating Gross Primary Productivity of Mangrove Ecosystems Y. Tang et al. 10.1029/2023MS003714
134. Genetic Diversity Analysis and Prediction of Potential Suitable Areas for the Rare and Endangered Wild Plant Henckelia longisepala R. Zhao et al. 10.3390/plants13152093
135. Prediction of the Potential Distribution of Teinopalpus aureus Mell, 1923 (Lepidoptera, Papilionidae) in China Using Habitat Suitability Models Y. Liu et al. 10.3390/f15050828
136. Predicting changes in the suitable habitats of six halophytic plant species in the arid areas of Northwest China A. Yang et al. 10.1007/s40333-024-0062-7
137. Impact of Revised Trigger and Closure of the Double-Plume Convective Parameterization on Precipitation Simulations over East Asia X. Li et al. 10.1007/s00376-022-2225-9
138. Modelado Espacial Actual y Futuro de la Idoneidad de Hábitat de Triatoma nitida Usinger1 en Latinoamérica M. Torres-Delgado et al. 10.3958/059.047.0115
139. 21st‐century biogeochemical modeling: Challenges for Century‐based models and where do we go from here? D. Berardi et al. 10.1111/gcbb.12730
140. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
141. Testing a Physical Hypothesis for the Relationship Between Climate Sensitivity and Double‐ITCZ Bias in Climate Models M. Webb & A. Lock 10.1029/2019MS001999
142. Performance evaluation of surface air temperature simulated by the Beijing Climate Central Climate Model based on the climate complexity H. Jin et al. 10.1007/s00382-024-07137-x
143. How do CMIP6 models project changes in precipitation extremes over seasons and locations across the mid hills of Nepal? R. Chhetri et al. 10.1007/s00704-021-03698-7
144. How the Updated Earth System Models Project Terrestrial Gross Primary Productivity in China under 1.5 and 2 °C Global Warming C. Zhang et al. 10.3390/su132111744
145. Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models X. Xin et al. 10.3390/atmos12060762
146. Climate Change Increases the Expansion Risk of Helicoverpa zea in China According to Potential Geographical Distribution Estimation H. Zhao et al. 10.3390/insects13010079
147. Assessment of multidimensional diversity and conservation of threatened timber trees in China under climate change J. Hu et al. 10.1016/j.biocon.2024.110871
148. Potential Carbon Sequestration and Economic Value Assessment of the Relict Plant Ginkgo biloba L. Based on the Maximum Entropy Model X. Zhang et al. 10.3390/f14081618
149. Response of an Invasive Plant Species (Cynanchum acutum L.) to Changing Climate Conditions and Its Impact on Agricultural Landscapes B. Ar et al. 10.3390/land11091438
150. Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework P. Nguyen et al. 10.5194/gmd-17-7285-2024
151. Predicting the current and future distribution of Monochamus carolinensis (Coleoptera: Cerambycidae) based on the maximum entropy model J. Zhao et al. 10.1002/ps.7753
152. Accuracy of historical precipitation from CMIP6 global climate models under diversified climatic features over India G. Patel et al. 10.1016/j.envdev.2024.100998
153. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. 10.5194/gmd-13-977-2020
154. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. 10.1029/2020MS002353
155. Using quantile mapping and random forest for bias‐correction of high‐resolution reanalysis precipitation data and CMIP6 climate projections over Iran M. Raeesi et al. 10.1002/joc.8593
156. 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. 10.1016/j.gecco.2022.e02038
157. Large-scale dynamics have greater role than thermodynamics in driving precipitation extremes over India N. Sudharsan et al. 10.1007/s00382-020-05410-3
158. Improvement of Soil Moisture Simulation in Eurasia by the Beijing Climate Center Climate System Model from CMIP5 to CMIP6 Y. Sang et al. 10.1007/s00376-020-0167-7
159. An Integrated Approach to Map the Impact of Climate Change on the Distributions of Crataegus azarolus and Crataegus monogyna in Kurdistan Region, Iraq K. Radha & N. Khwarahm 10.3390/su142114621
160. Drought characteristics projections based on CMIP6 climate change scenarios in Syria S. Mathbout et al. 10.1016/j.ejrh.2023.101581
161. Reconstructing the biological invasion of noxious invasive weed Parthenium hysterophorus and invasion risk assessment in China H. Zheng et al. 10.3389/fpls.2024.1430576
162. Future intensification of precipitation and wind gust associated thunderstorms over Lake Victoria J. Van de Walle et al. 10.1016/j.wace.2021.100391
163. Rainfall Projections from Coupled Model Intercomparison Project Phase 6 in the Volta River Basin: Implications on Achieving Sustainable Development S. Dotse et al. 10.3390/su15021472
164. Simulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false priming R. Varney et al. 10.5194/bg-20-3767-2023
165. Evaluating the Diurnal and Semidiurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations S. Tang et al. 10.1175/JCLI-D-20-0639.1
166. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. 10.1007/s00382-023-06696-9
167. When Will MISR Detect Rising High Clouds? T. Aerenson et al. 10.1029/2021JD035865
168. Seasonal transition dates can reveal biases in Arctic sea ice simulations A. Smith et al. 10.5194/tc-14-2977-2020
169. Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6 H. Wu et al. 10.1088/2515-7620/ac620e
170. MODELING THE DISTRIBUTION OF THE SOUTHERN YELLOW-CHEEKED GIBBON (NOMASCUS GABRIELLAE) USING MAXENT N. Cao et al. 10.15625/2525-2518/59/5/15890
171. Predicting possible distribution of rice leaf roller (Cnaphalocrocis medinalis) under climate change scenarios using MaxEnt model in China Y. Zhao et al. 10.1038/s41598-024-71228-2
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347. Projected Changes in Terrestrial Vegetation and Carbon Fluxes under 1.5 °C and 2.0 °C Global Warming X. Peng et al. 10.3390/atmos13010042
348. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al. 10.5194/esd-14-549-2023
349. Strengthened Relationship Between Tropical Indian Ocean Dipole and Subtropical Indian Ocean Dipole After the Late 2000s B. Huang et al. 10.1029/2021GL094835
350. Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections B. Ferrero et al. 10.1007/s00376-020-0178-4
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352. Northern Hemisphere Sudden Stratospheric Warming and Its Downward Impact in Four Chinese CMIP6 Models J. Rao et al. 10.1007/s00376-020-0250-0
353. Impact of the Quasi-Biennial Oscillation on the Northern Winter Stratospheric Polar Vortex in CMIP5/6 Models J. Rao et al. 10.1175/JCLI-D-19-0663.1
354. A shifting carnivore’s community: habitat modeling suggests increased overlap between the golden jackal and the Eurasian lynx in Europe D. Serva et al. 10.3389/fevo.2023.1165968
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356. Preliminary study on hydrological angular momentum determined from CMIP6 historical simulations J. Nastula et al. 10.1186/s40623-022-01636-z
357. Intensified future heat extremes linked with increasing ecosystem water limitation J. Denissen et al. 10.5194/esd-15-717-2024
358. Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. 10.1007/s10661-023-11090-3
359. Projections of Drought Characteristics Based on the CNRM-CM6 Model over Africa I. Nooni et al. 10.3390/agriculture12040495
360. Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: Experimental observations and DNDC model predictions L. Xu et al. 10.3389/fpls.2022.1019966
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362. Global River Discharge and Floods in the Warmer Climate of the Last Interglacial P. Scussolini et al. 10.1029/2020GL089375
363. 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. 10.1007/s00382-024-07432-7
364. Explaining Globally Inhomogeneous Future Changes in Monsoons Using Simple Moist Energy Diagnostics R. Bombardi & W. Boos 10.1175/JCLI-D-20-1012.1
365. Evaluating Variable‐Resolution CESM Over China and Western United States for Use in Water‐Energy Nexus and Impacts Modeling Z. Xu et al. 10.1029/2020JD034361
366. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. 10.1002/joc.7566
367. Evaluation of the environmental factors influencing the quality of Astragalus membranaceus var. mongholicus based on HPLC and the Maxent model P. Dong et al. 10.1186/s12870-024-05355-3
368. Climate Sensitivity and Feedbacks of BCC-CSM to Idealized CO2 Forcing from CMIP5 to CMIP6 X. Shi et al. 10.1007/s13351-020-9204-9
369. Projection of temperature and precipitation under climate change in Tabriz, Iran B. Ghazi & E. Jeihouni 10.1007/s12517-022-09848-z
370. A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. 10.1111/nph.20127
371. The Effects of Climate Change on Habitat Connectivity: A Case Study of the Brown-Eared Pheasant in China A. Cao & X. Shi 10.3390/land11060806
372. Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models C. Xie et al. 10.1007/s00376-023-2294-4
373. Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. 10.1175/JCLI-D-22-0181.1
374. Added value of CMIP6 models over CMIP5 models in simulating the climatological precipitation extremes in China N. Luo et al. 10.1002/joc.7294
375. Modeling the impact of climate change on streamflow responses in the Kessem watershed, Middle Awash sub-basin, Ethiopia M. Assfaw et al. 10.2166/wcc.2023.541
376. Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. 10.3390/atmos14101497
377. Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. 10.5194/gmd-13-3817-2020
378. Current distribution of two species of Chinese macaques (Macaca arctoides and Macaca thibetana) and the possible influence of climate change on future distribution W. Li et al. 10.1002/ajp.23493
379. Habitat distribution modeling of endangered medicinal plant Picrorhiza kurroa (Royle ex Benth) under climate change scenarios in Uttarakhand Himalaya, India N. Rawat et al. 10.1016/j.ecoinf.2021.101550
380. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo 10.1029/2022JD038118
381. Does CMIP6 Inspire More Confidence in Simulating Climate Extremes over China? H. Zhu et al. 10.1007/s00376-020-9289-1
382. 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. 10.1016/j.atmosenv.2021.118248
383. Future projections of extreme rainfall events in Indonesia A. Kurniadi et al. 10.1002/joc.8321
384. Variability of the Stratospheric Quasi-Biennial Oscillation and Its Wave Forcing Simulated in the Beijing Climate Center Atmospheric General Circulation Model Y. Lu et al. 10.1175/JAS-D-19-0123.1
385. Simulation of the Potential Suitable Distribution of the Endangered Cremastra appendiculata in China Under Global Climate Change X. Ouyang et al. 10.3389/fenvs.2022.878115
386. Assessing the impacts of long-term climate change on hydrology and yields of diversified crops in the Texas High Plains N. Wen et al. 10.1016/j.agwat.2024.108985
387. Evaluation of extreme precipitation climate indices and their projected changes for Brazil: From CMIP3 to CMIP6 F. Jeferson de Medeiros et al. 10.1016/j.wace.2022.100511
388. Predictive ecological niche modelling of an important bio-control agent: Trichoderma harzianum (Rifai) using the MaxEnt machine learning tools with climatic and non-climatic predictors M. Mathur & P. Mathur 10.1080/09583157.2023.2245985
389. Multi-Model Ensemble Prediction of Summer Precipitation in China Based on Machine Learning Algorithms J. Yang et al. 10.3390/atmos13091424
390. Future Projections and Uncertainties of CMIP6 for Hydrological Indicators and Their Discrepancies from CMIP5 over South Korea M. Doi & J. Kim 10.3390/w14182926
391. Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China W. Tang et al. 10.3390/land11101673
392. CMIP6 models simulate heavier future rainfall over the Highlands than across other agricultural areas of Yemen H. Gadain & B. Libanda 10.1007/s40808-023-01811-5
393. Evaluation of the temperature downscaling performance of PRECIS to the BCC-CSM2-MR model over China J. Guo et al. 10.1007/s00382-022-06177-5
394. Similar Pattern of Potential Distribution of Pinus yunnanensis Franch and Tomicusyunnanensis Kirkendall under Climate Change in China B. Huang et al. 10.3390/f13091379
395. 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. 10.1029/2022JD038437
396. Ecological Niche Differentiation and Response to Climate Change of the African Endemic Family Myrothamnaceae Q. Wan et al. 10.3390/plants13111544
397. Evaluation of the CMIP6 Performance in Simulating Precipitation in the Amazon River Basin C. Monteverde et al. 10.3390/cli10080122
398. Projection of extreme precipitation in the Minjiang River Basin, Southeast China X. Li et al. 10.2166/wcc.2022.145
399. Geographic isolation and climatic heterogeneity drive population differentiation of Rosa chinensis var. spontanea complex S. Li et al. 10.1111/plb.13521
400. Research on the future climate change and runoff response in the mountainous area of Yongding watershed J. Li et al. 10.1016/j.jhydrol.2023.130108
401. Simulation of mangrove suitable habitat in the Guangdong-Hong Kong-Macao Area under the background of climate change J. Zeng et al. 10.1016/j.jenvman.2023.119678
402. Controls of the transient climate response to emissions by physical feedbacks, heat uptake and carbon cycling R. Williams et al. 10.1088/1748-9326/ab97c9
403. Enhanced causal effect of ecosystem photosynthesis on respiration during heatwaves J. Ping et al. 10.1126/sciadv.adi6395
404. Replicability of Annual and Seasonal Precipitation by CMIP5 and CMIP6 GCMs over East Asia M. Shiru et al. 10.1007/s12205-022-0992-6
405. Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia F. Enyew et al. 10.3390/cli12110169
406. What Are the Main Causes of Positive Subtropical Low Cloud Feedbacks in Climate Models? M. Webb et al. 10.1029/2023MS003716
407. The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. 10.5194/acp-21-18609-2021
408. Predicting current and future climate suitability for arecanut (Areca catechu L.) in India using ensemble model K. Hebbar et al. 10.1016/j.heliyon.2024.e26382
409. Predicting the Current and Future Distribution of Monolepta signata (Coleoptera: Chrysomelidae) Based on the Maximum Entropy Model Q. Liu et al. 10.3390/insects15080575
410. Elevation dependency of precipitation and temperature over northeast India M. Ahamed et al. 10.1007/s00704-024-05019-0
411. Projections of Precipitation and Temperature over the South Asian Countries in CMIP6 M. Almazroui et al. 10.1007/s41748-020-00157-7
412. Ecological niche modelling of Tecomella undulata (Sm.) Seem: an endangered (A2a) tree species from arid and semi-arid environment imparts multiple ecosystem services M. Mathur & P. Mathur 10.1007/s42965-023-00311-y
413. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. 10.1029/2021GL094532
414. Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050 C. Haslebacher et al. 10.1051/0004-6361/202142493
415. Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall A. Gusain et al. 10.1016/j.atmosres.2019.104680
416. Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China Y. Zhao et al. 10.3390/agriculture11111122
417. The performance of CMIP6 models in simulating surface energy fluxes over global continents S. Liu et al. 10.1007/s00382-022-06595-5
418. The Increasing Role of Vegetation Transpiration in Soil Moisture Loss across China under Global Warming M. Li et al. 10.1175/JHM-D-21-0132.1
419. Evaluation of Arctic Sea Ice Drift and its Relationship with Near-surface Wind and Ocean Current in Nine CMIP6 Models from China X. Yu et al. 10.1007/s00376-021-1153-4
420. Indian heatwaves in a future climate with varying hazard thresholds K. Rao et al. 10.1088/2752-5295/acb077
421. Climate feedbacks associated with land-use and land-cover change on hydrological extremes over the Yangtze River Delta Region, China Q. Wang et al. 10.1016/j.jhydrol.2023.129855
422. Prediction of the potentially suitable areas of Eucommia ulmoides Oliver in China under climate change based on optimized Biomod2 and MaxEnt models G. Cao et al. 10.3389/fpls.2024.1359271
423. Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada B. Masud et al. 10.3390/w13050737
424. Modulation of the interdecadal variation of atmospheric background flow on the recent recovery of the EAWM during the 2000s and its link with North Atlantic–Arctic warming R. Zhang et al. 10.1007/s00382-022-06152-0
425. Species boundaries and conservation implications of Cinnamomum japonicum, an endangered plant in China H. Lin et al. 10.1111/jse.12950
426. Invasive alien plants in the Qinghai-Tibetan Plateau (China): Current state and future predictions Q. Chu et al. 10.1016/j.ecolind.2024.112488
427. Evaluating wind and solar complementarity in China: Considering climate change and source-load matching dynamics Z. Chen et al. 10.1016/j.energy.2024.133485
428. A CMIP6 assessment of the potential climate change impacts on solar photovoltaic energy and its atmospheric drivers in West Africa D. Danso et al. 10.1088/1748-9326/ac5a67
429. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. 10.5194/esd-11-1233-2020
430. Assessing Climate Change Impact on Habitat Suitability and Ecological Connectivity of Wych Elm (Ulmus glabra Huds.) in Türkiye B. Ar et al. 10.3390/f15111894
431. Sea-ice-free Arctic during the Last Interglacial supports fast future loss M. Guarino et al. 10.1038/s41558-020-0865-2
432. Considering climate change impact on the global potential geographical distribution of the invasive Argentine ant and little fire ant T. Li et al. 10.1017/S0007485324000270
433. Distribution Dynamics of Diplopanax stachyanthus Hand.-Mazz. (Mastixiaceae) and Its Implications in Relict Mastixioid Flora Conservation M. Chen et al. 10.3390/f15050766
434. Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change Y. Yin et al. 10.3390/biology11010110
435. The magnitude and drivers of harmful algal blooms in China’s lakes and reservoirs: A national-scale characterization J. Huang et al. 10.1016/j.watres.2020.115902
436. Projected future changes in equatorial wave spectrum in CMIP6 H. Bartana et al. 10.1007/s00382-022-06510-y
437. Divergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models U. Nworgu et al. 10.1088/2752-5295/ad3a0e
438. Risk Assessment of Spodoptera exempta against Food Security: Estimating the Potential Global Overlapping Areas of Wheat, Maize, and Rice under Climate Change M. Li et al. 10.3390/insects15050348
439. Progress of MJO Prediction at CMA from Phase I to Phase II of the Sub-Seasonal to Seasonal Prediction Project J. Yao et al. 10.1007/s00376-023-2351-z
440. Inclusion of Ecological Water Requirements in Optimization of Water Resource Allocation Under Changing Climatic Conditions W. Yue et al. 10.1007/s11269-021-03039-3
441. 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 10.1002/joc.7759
442. Assessing environmental suitability of Ligusticum chuanxiong based on ecological analyses with chemical and molecular verification L. Liu et al. 10.1016/j.heliyon.2023.e14629
443. Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming M. Latonin et al. 10.1016/j.polar.2021.100677
444. Near-term temperature extremes in Iran using the decadal climate prediction project (DCPP) N. Asadi-RahimBeygi et al. 10.1007/s00477-023-02579-x
445. Impact of Climate Change and Consumptive Demands on the Performance of São Francisco River Reservoirs, Brazil M. Silva et al. 10.3390/cli11040089
446. Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. 10.1007/s00382-024-07105-5
447. Climate and air quality impacts due to mitigation of non-methane near-term climate forcers R. Allen et al. 10.5194/acp-20-9641-2020
448. Impacts of Climate Change on the Biogeography and Ecological Structure of Zelkova schneideriana Hand.-Mazz. in China C. Wang et al. 10.3390/plants13060798
449. Species distribution modeling combined with environmental DNA analysis to explore distribution of invasive alien mosquitofish (Gambusia affinis) in China X. Han et al. 10.1007/s11356-024-32935-5
450. Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. 10.1029/2021EF002499
451. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé 10.5194/os-17-59-2021
452. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. 10.1038/s41467-022-28816-5
453. Impact of the observed SST frequency in the model initialization on the BSISO prediction X. Zhu et al. 10.1007/s00382-021-05761-5
454. Evaluating the aptitude of global climate models fromCMIP5andCMIP6in capturing the historical observations of monsoon rainfall over Sudan from 1946 to 2005 M. Hamadalnel et al. 10.1002/joc.7387
455. Skillful decadal prediction for Northwest Pacific tropical cyclone activity Y. Xu et al. 10.1007/s00382-024-07281-4
456. Dynamics of invasive alien plant species in China under climate change scenarios W. Tu et al. 10.1016/j.ecolind.2021.107919
457. Projected wind changes in the Caribbean Sea based on CMIP6 models D. Bustos Usta & R. Torres Parra 10.1007/s00382-022-06535-3
458. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. 10.1073/pnas.2200635119
459. Sustainability analysis of single vs. multiple adaptation strategies in tackling the adverse impacts of climate change on groundwater resources using water-food-energy nexus approach S. Afkhami et al. 10.1016/j.jclepro.2024.142532
460. Connecting protected areas in the North Mesopotamian steppes: can this ensure the survival of the Arabian Sand Gazelle (Gazella marica)? A. Özcan et al. 10.1080/09397140.2022.2077564
461. Modeling of current and future distributions of Camellia sinensis in Türkiye under climate change Ş. İzmirli & S. Gül 10.1007/s00704-023-04627-6
462. Impact of Climate Change on Distribution of Endemic Plant Section Tuberculata (Camellia L.) in China: MaxEnt Model-Based Projection X. Xiao et al. 10.3390/plants13223175
463. 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. 10.1007/s00704-020-03090-x
464. Low-level circulation over Central Equatorial Africa as simulated from CMIP5 to CMIP6 models T. Taguela et al. 10.1007/s00382-022-06411-0
465. 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. 10.1007/s10530-023-03016-4
466. Prediction of Potential Distribution Area of Two Parapatric Species in Triosteum under Climate Change X. Li et al. 10.3390/su15065604
467. Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations V. Dike et al. 10.1002/joc.7641
468. Advances in understanding large‐scale responses of the water cycle to climate change R. Allan et al. 10.1111/nyas.14337
469. Modeling habitat suitability of Hippophae rhamnoides L. using MaxEnt under climate change in China: A case study of H. r. sinensis and H. r. turkestanica X. He et al. 10.3389/ffgc.2022.1095784
470. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. 10.1002/joc.7834
471. Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
472. Richness and distribution of endangered orchid species under different climate scenarios on the Qinghai-Tibetan Plateau H. Hu et al. 10.3389/fpls.2022.948189
473. Analysis of the Atmospheric Water Cycle for the Laurentian Great Lakes Region Using CMIP6 Models S. Minallah & A. Steiner 10.1175/JCLI-D-20-0751.1
474. Multi-model ensemble bias-corrected precipitation dataset and its application in identification of drought-flood abrupt alternation in China T. Liu et al. 10.1016/j.atmosres.2024.107481
475. The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau H. Hu et al. 10.3390/d13120682
476. Climatological Evaluation of Three Assimilation and Reanalysis Datasets on Soil Moisture over the Tibetan Plateau Y. Sang et al. 10.3390/rs16224198
477. Differences between CMIP6 and CMIP5 Models in Simulating Climate over China and the East Asian Monsoon D. Jiang et al. 10.1007/s00376-020-2034-y
478. Extremes events and socio-economic impacts in central Africa: a CMIP6-based analysis of projections D. Ebedi-Nding et al. 10.1007/s40808-024-02139-4
479. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. 10.5194/tc-15-4281-2021
480. Effect of climate change on reference evapotranspiration at the subnational scale: case study of Egypt A. Ads et al. 10.1108/AGJSR-06-2023-0234
481. Recent progress in simulating two types of ENSO – from CMIP5 to CMIP6 M. Hou & Y. Tang 10.3389/fmars.2022.986780
482. Could detection and attribution of climate change trends be spurious regression? D. Cummins et al. 10.1007/s00382-022-06242-z
483. Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises J. Liu et al. 10.3390/su151310141
484. Predicting current and future potential distributions of the greater bandicoot rat (Bandicota indica) under climate change conditions S. Lin et al. 10.1002/ps.7804
485. Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China W. Zhang et al. 10.3390/rs16193604
486. Improvement of the simulation of the summer East Asian westerly jet from CMIP5 to CMIP6 Y. FU et al. 10.1080/16742834.2020.1746175
487. A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. 10.1038/s41597-024-03948-z
488. 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 10.5194/gmd-15-1375-2022
489. How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. 10.1029/2022GL102466
490. Evaluation of soil temperature in CMIP6 multimodel simulations J. Zhou et al. 10.1016/j.agrformet.2024.110039
491. Impacts of climate change on a high elevation specialist bird are ameliorated by terrain complexity M. Ashrafzadeh et al. 10.1016/j.gecco.2024.e03281
492. Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100 J. Keeble et al. 10.5194/acp-21-5015-2021
493. Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations C. Liu et al. 10.1016/j.accre.2022.03.002
494. Analyzing the regional economic changes in a high-tech industrial development zone using machine learning algorithms E. Du et al. 10.1371/journal.pone.0250802
495. Assessing glacier retreat and its impact on water resources in a headwater of Yangtze River based on CMIP6 projections H. Gao et al. 10.1016/j.scitotenv.2020.142774
496. Ensemble modeling of aquatic plant invasions and economic cost analysis in China under climate change scenarios Z. Feng et al. 10.1016/j.scitotenv.2024.177444
497. Effects of Arctic sea ice in autumn on extreme cold events over the Tibetan Plateau in the following winter: possible mechanisms M. Bi et al. 10.1007/s00382-021-06007-0
498. Predicting the distribution pattern changes of dye plant habitats caused by climate change J. Duan et al. 10.3389/fpls.2024.1364481
499. New permafrost is forming on the exposed bottom of Zonag Lake on the Qinghai-Tibet Plateau Y. Zhang et al. 10.1016/j.scitotenv.2021.152879
500. Impacts of Different Land Use Scenarios on Future Global and Regional Climate Extremes T. Hong et al. 10.3390/atmos13060995
501. Inter-model spreads of the climatological mean Hadley circulation in AMIP/CMIP6 simulations S. Zhang et al. 10.1007/s00382-023-06813-8
502. Biases and improvements of the boreal winter–spring equatorial undercurrent in the Indian Ocean in the CMIP5 and CMIP6 models J. Li et al. 10.3389/fmars.2023.1168385
503. Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management – A comparison between CMIP5 and CMIP6 X. Li et al. 10.1016/j.compag.2022.107408
504. Citizen science and niche modeling to track and forecast the expansion of the brown marmorated stinkbug Halyomorpha halys (Stål, 1855) J. Streito et al. 10.1038/s41598-021-90378-1
505. Prediction of potential invasion of two weeds of the genus Avena in Asia under climate change based on Maxent K. Wu et al. 10.1016/j.scitotenv.2024.175192
506. A Process‐Oriented Diagnostic to Assess Precipitation‐Thermodynamic Relations and Application to CMIP6 Models F. Ahmed & J. Neelin 10.1029/2021GL094108
507. Improving long-term prediction of terrestrial water storage through integration with CMIP6 decadal prediction E. Zhu et al. 10.1016/j.atmosres.2024.107776
508. The MJO From CMIP5 to CMIP6: Perspectives From Tracking MJO Precipitation G. Chen et al. 10.1029/2021GL095241
509. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh 10.1007/s00382-022-06323-z
510. Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways Y. Liu et al. 10.1016/j.jhydrol.2024.131241
511. Impact of Spatial Inhomogeneity in Atmospheric CO2 Concentration on Surface Air Temperature Variations C. Xie et al. 10.1007/s13351-024-4025-x
512. An Implicit Air Quality Bias Due to the State of Pristine Aerosol X. Zhao et al. 10.1029/2021EF001979
513. Evaluation of the seasonality and spatial aspects of the Southern Annular Mode in CMIP6 models X. Zhang et al. 10.1002/joc.7447
514. Spatio-temporal Investigations of Monsoon Precipitation and Its Historical and Future Trend over Sudan M. Hamadalnel et al. 10.1007/s41748-021-00236-3
515. Migration of vegetation boundary between alpine steppe and meadow on a century-scale across the Tibetan Plateau Y. Wang et al. 10.1016/j.ecolind.2022.108599
516. 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. 10.3390/land13101571
517. Climate variability of the East Asian winter monsoon and associated extratropical–tropical interaction: a review T. Ma & W. Chen 10.1111/nyas.14620
518. The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. 10.5194/acp-24-6555-2024
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