479 citations as recorded by crossref.

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39. Consistent Trends in Dry Spell Length in Recent Observations and Future Projections C. Wainwright et al. 10.1029/2021GL097231
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41. Modeling and predicting the effects of climate change on cotton-suitable habitats in the Central Asian arid zone J. Mai & G. Liu 10.1016/j.indcrop.2022.115838
42. 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
43. 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
44. 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
45. Assessment of temperature and precipitation trends in Kashkadarya, Uzbekistan S. Khamidov et al. 10.1051/e3sconf/202336501005
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo 10.1007/s41748-023-00370-0
54. 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
55. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
56. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
57. 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
58. 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
59. 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
60. Delineating the Area for Sustainable Cultivation of Morinda officinalis Based on the MaxEnt Model J. Liang et al. 10.3390/agronomy14061134
61. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. 10.3390/atmos14061015
62. Carbon budget concept and its deviation through the pulse response lens V. Avakumović 10.5194/esd-15-387-2024
63. Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models J. Santos et al. 10.3390/land12040880
64. 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
65. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. 10.1002/joc.7673
66. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. 10.1029/2022MS003475
67. Global Changes in Water Vapor 1979–2020 R. Allan et al. 10.1029/2022JD036728
68. 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
69. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
70. Present and Future Climate-Related Distribution of Narrow- versus Wide-Ranged Ostrya Species in China S. Tang et al. 10.3390/f12101366
71. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. 10.1029/2021EF002511
72. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. 10.1016/j.accre.2021.07.007
73. 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
74. 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
75. 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
76. Assessing Soil Organic Carbon Stock Dynamics under Future Climate Change Scenarios in the Middle Qilian Mountains W. Liu et al. 10.3390/f12121698
77. 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
78. 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
79. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun 10.1029/2023GL103515
80. 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
81. 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
82. Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang et al. 10.5194/os-18-839-2022
83. 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
84. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. 10.1016/j.gloplacha.2023.104137
85. Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
86. 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
87. 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
88. 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
89. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. 10.3390/biology11081100
90. 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
91. 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
92. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
93. Climatological diagnostics and subseasonal‐to‐seasonal predictions of Madden–Julian Oscillation events J. Wu et al. 10.1002/joc.7984
94. Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts H. Pereira et al. 10.1016/j.ocemod.2024.102395
95. 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
96. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. 10.1029/2021GL096037
97. 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
98. 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
99. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
100. MaxEnt Modeling for Predicting Suitable Habitat for Endangered Tree Keteleeria davidiana (Pinaceae) in China Q. Zhang et al. 10.3390/f14020394
101. 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
102. Gravel parameterization scheme and verification using BCC_CSM Y. Xu et al. 10.1007/s00704-022-04015-6
103. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. 10.1038/s41586-022-05364-y
104. 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
105. Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
106. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. 10.1007/s00376-020-0147-y
107. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. 10.1029/2019GL086875
108. Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe R. Wilson et al. 10.1016/j.ecoinf.2024.102537
109. 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
110. 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
111. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
112. 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
113. 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
114. 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
115. 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
116. Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia M. El-Rawy et al. 10.3390/su15129513
117. 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
118. 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
119. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. 10.1029/2022EF003179
120. 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
121. 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
122. 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
123. Mango‐GPP: A Process‐Based Model for Simulating Gross Primary Productivity of Mangrove Ecosystems Y. Tang et al. 10.1029/2023MS003714
124. 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
125. 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
126. 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
127. 21st‐century biogeochemical modeling: Challenges for Century‐based models and where do we go from here? D. Berardi et al. 10.1111/gcbb.12730
128. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
129. Testing a Physical Hypothesis for the Relationship Between Climate Sensitivity and Double‐ITCZ Bias in Climate Models M. Webb & A. Lock 10.1029/2019MS001999
130. 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
131. 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
132. 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
133. Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models X. Xin et al. 10.3390/atmos12060762
134. Climate Change Increases the Expansion Risk of Helicoverpa zea in China According to Potential Geographical Distribution Estimation H. Zhao et al. 10.3390/insects13010079
135. 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
136. 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
137. 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
138. 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
139. 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
140. 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
141. 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
142. Large-scale dynamics have greater role than thermodynamics in driving precipitation extremes over India N. Sudharsan et al. 10.1007/s00382-020-05410-3
143. 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
144. 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
145. Drought characteristics projections based on CMIP6 climate change scenarios in Syria S. Mathbout et al. 10.1016/j.ejrh.2023.101581
146. Future intensification of precipitation and wind gust associated thunderstorms over Lake Victoria J. Van de Walle et al. 10.1016/j.wace.2021.100391
147. 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
148. 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
149. Evaluating Diurnal and Semi-Diurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations S. Tang et al. 10.1175/JCLI-D-20-0639.1
150. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. 10.1007/s00382-023-06696-9
151. When Will MISR Detect Rising High Clouds? T. Aerenson et al. 10.1029/2021JD035865
152. Seasonal transition dates can reveal biases in Arctic sea ice simulations A. Smith et al. 10.5194/tc-14-2977-2020
153. 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
154. MODELING THE DISTRIBUTION OF THE SOUTHERN YELLOW-CHEEKED GIBBON (NOMASCUS GABRIELLAE) USING MAXENT N. Cao et al. 10.15625/2525-2518/59/5/15890
155. Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea Y. Song et al. 10.1002/joc.7386
156. Spatial Resolved Surface Ozone with Urban and Rural Differentiation during 1990–2019: A Space–Time Bayesian Neural Network Downscaler H. Sun et al. 10.1021/acs.est.1c04797
157. Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch: Predictions Based on MaxEnt Ecological Niche Modeling H. Zhang et al. 10.3390/su15010631
158. Performance evaluation and ranking of CMIP6 global climate models over upper blue nile (abbay) basin of Ethiopia J. Mohammed 10.1016/j.nhres.2024.06.004
159. A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses S. Gebrechorkos et al. 10.1038/s41597-023-02528-x
160. Modeling nitrogen export from 2539 lowland artificial watersheds in Lake Taihu Basin, China: Insights from process-based modeling J. Huang et al. 10.1016/j.jhydrol.2019.124428
161. Ecological niche modeling applied to the conservation of the East Asian relict endemism Glyptostrobus pensilis (Cupressaceae) P. Pueyo-Herrera et al. 10.1007/s11056-022-09960-8
162. Future Changes in Global Atmospheric Rivers Projected by CMIP6 Models L. Zhang et al. 10.1029/2023JD039359
163. An increase in temperature under the shared socioeconomic scenarios in the Volta River Basin, West Africa: implications for economic development A. Limantol et al. 10.2166/wcc.2023.141
164. Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China D. Wang et al. 10.2166/wcc.2022.402
165. A modified thermodynamic sea ice model and its application Y. Fang et al. 10.1016/j.ocemod.2022.102096
166. Assessment of future changes in high-impact precipitation events for India using CMIP6 models N. Shahi et al. 10.1007/s00704-022-04309-9
167. Current and future scenarios of suitability and expansion of cassava brown streak disease, Bemisia tabaci species complex, and cassava planting in Africa G. Sikazwe et al. 10.7717/peerj.17386
168. 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. 10.1016/j.accre.2021.12.001
169. CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century K. Wang et al. 10.3390/atmos15040434
170. Study on rare and endangered plants under climate: maxent modeling for identifying hot spots in northwest China H. Zhang & H. Zhao 10.1590/01047760202127012667
171. Threat assessment of future climate change to China’s seed plants J. MENG et al. 10.1360/SSV-2023-0305
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344. 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
345. 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
346. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo 10.1029/2022JD038118
347. Does CMIP6 Inspire More Confidence in Simulating Climate Extremes over China? H. Zhu et al. 10.1007/s00376-020-9289-1
348. 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
349. Future projections of extreme rainfall events in Indonesia A. Kurniadi et al. 10.1002/joc.8321
350. 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
351. 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
352. 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
353. 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
354. Multi-Model Ensemble Prediction of Summer Precipitation in China Based on Machine Learning Algorithms J. Yang et al. 10.3390/atmos13091424
355. Future Projections and Uncertainties of CMIP6 for Hydrological Indicators and Their Discrepancies from CMIP5 over South Korea M. Doi & J. Kim 10.3390/w14182926
356. Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China W. Tang et al. 10.3390/land11101673
357. 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
358. 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
359. Similar Pattern of Potential Distribution of Pinus yunnanensis Franch and Tomicusyunnanensis Kirkendall under Climate Change in China B. Huang et al. 10.3390/f13091379
360. 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
361. Ecological Niche Differentiation and Response to Climate Change of the African Endemic Family Myrothamnaceae Q. Wan et al. 10.3390/plants13111544
362. Evaluation of the CMIP6 Performance in Simulating Precipitation in the Amazon River Basin C. Monteverde et al. 10.3390/cli10080122
363. Projection of extreme precipitation in the Minjiang River Basin, Southeast China X. Li et al. 10.2166/wcc.2022.145
364. Geographic isolation and climatic heterogeneity drive population differentiation of Rosa chinensis var. spontanea complex S. Li et al. 10.1111/plb.13521
365. 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
366. 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
367. 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
368. Enhanced causal effect of ecosystem photosynthesis on respiration during heatwaves J. Ping et al. 10.1126/sciadv.adi6395
369. Replicability of Annual and Seasonal Precipitation by CMIP5 and CMIP6 GCMs over East Asia M. Shiru et al. 10.1007/s12205-022-0992-6
370. What Are the Main Causes of Positive Subtropical Low Cloud Feedbacks in Climate Models? M. Webb et al. 10.1029/2023MS003716
371. 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
372. 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
373. Elevation dependency of precipitation and temperature over northeast India M. Ahamed et al. 10.1007/s00704-024-05019-0
374. Projections of Precipitation and Temperature over the South Asian Countries in CMIP6 M. Almazroui et al. 10.1007/s41748-020-00157-7
375. 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
376. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. 10.1029/2021GL094532
377. 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
378. Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall A. Gusain et al. 10.1016/j.atmosres.2019.104680
379. Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China Y. Zhao et al. 10.3390/agriculture11111122
380. The performance of CMIP6 models in simulating surface energy fluxes over global continents S. Liu et al. 10.1007/s00382-022-06595-5
381. 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
382. 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
383. Indian heatwaves in a future climate with varying hazard thresholds K. Rao et al. 10.1088/2752-5295/acb077
384. 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
385. 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
386. 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
387. Species boundaries and conservation implications of Cinnamomum japonicum, an endangered plant in China H. Lin et al. 10.1111/jse.12950
388. 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
389. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. 10.5194/esd-11-1233-2020
390. Sea-ice-free Arctic during the Last Interglacial supports fast future loss M. Guarino et al. 10.1038/s41558-020-0865-2
391. 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
392. Distribution Dynamics of Diplopanax stachyanthus Hand.-Mazz. (Mastixiaceae) and Its Implications in Relict Mastixioid Flora Conservation M. Chen et al. 10.3390/f15050766
393. Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change Y. Yin et al. 10.3390/biology11010110
394. 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
395. Projected future changes in equatorial wave spectrum in CMIP6 H. Bartana et al. 10.1007/s00382-022-06510-y
396. Divergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models U. Nworgu et al. 10.1088/2752-5295/ad3a0e
397. 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
398. 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
399. 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
400. 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
401. 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
402. 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
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404. Impact of Climate Change and Consumptive Demands on the Performance of São Francisco River Reservoirs, Brazil M. Silva et al. 10.3390/cli11040089
405. Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. 10.1007/s00382-024-07105-5
406. 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
407. Impacts of Climate Change on the Biogeography and Ecological Structure of Zelkova schneideriana Hand.-Mazz. in China C. Wang et al. 10.3390/plants13060798
408. 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
409. Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. 10.1029/2021EF002499
410. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé 10.5194/os-17-59-2021
411. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. 10.1038/s41467-022-28816-5
412. Impact of the observed SST frequency in the model initialization on the BSISO prediction X. Zhu et al. 10.1007/s00382-021-05761-5
413. 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
414. Skillful decadal prediction for Northwest Pacific tropical cyclone activity Y. Xu et al. 10.1007/s00382-024-07281-4
415. Dynamics of invasive alien plant species in China under climate change scenarios W. Tu et al. 10.1016/j.ecolind.2021.107919
416. Projected wind changes in the Caribbean Sea based on CMIP6 models D. Bustos Usta & R. Torres Parra 10.1007/s00382-022-06535-3
417. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. 10.1073/pnas.2200635119
418. 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
419. 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
420. Modeling of current and future distributions of Camellia sinensis in Türkiye under climate change Ş. İzmirli & S. Gül 10.1007/s00704-023-04627-6
421. 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
422. Low-level circulation over Central Equatorial Africa as simulated from CMIP5 to CMIP6 models T. Taguela et al. 10.1007/s00382-022-06411-0
423. 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
424. Prediction of Potential Distribution Area of Two Parapatric Species in Triosteum under Climate Change X. Li et al. 10.3390/su15065604
425. Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations V. Dike et al. 10.1002/joc.7641
426. Advances in understanding large‐scale responses of the water cycle to climate change R. Allan et al. 10.1111/nyas.14337
427. 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
428. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. 10.1002/joc.7834
429. Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
430. 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
431. 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
432. 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
433. 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
434. 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
435. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. 10.5194/tc-15-4281-2021
436. 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
437. Recent progress in simulating two types of ENSO – from CMIP5 to CMIP6 M. Hou & Y. Tang 10.3389/fmars.2022.986780
438. Could detection and attribution of climate change trends be spurious regression? D. Cummins et al. 10.1007/s00382-022-06242-z
439. Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises J. Liu et al. 10.3390/su151310141
440. 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
441. Improvement of the simulation of the summer East Asian westerly jet from CMIP5 to CMIP6 Y. FU et al. 10.1080/16742834.2020.1746175
442. 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
443. How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. 10.1029/2022GL102466
444. Evaluation of soil temperature in CMIP6 multimodel simulations J. Zhou et al. 10.1016/j.agrformet.2024.110039
445. Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100 J. Keeble et al. 10.5194/acp-21-5015-2021
446. Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations C. Liu et al. 10.1016/j.accre.2022.03.002
447. 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
448. 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
449. 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
450. Predicting the distribution pattern changes of dye plant habitats caused by climate change J. Duan et al. 10.3389/fpls.2024.1364481
451. 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
452. Impacts of Different Land Use Scenarios on Future Global and Regional Climate Extremes T. Hong et al. 10.3390/atmos13060995
453. Inter-model spreads of the climatological mean Hadley circulation in AMIP/CMIP6 simulations S. Zhang et al. 10.1007/s00382-023-06813-8
454. 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
455. 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
456. 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
457. A Process‐Oriented Diagnostic to Assess Precipitation‐Thermodynamic Relations and Application to CMIP6 Models F. Ahmed & J. Neelin 10.1029/2021GL094108
458. The MJO From CMIP5 to CMIP6: Perspectives From Tracking MJO Precipitation G. Chen et al. 10.1029/2021GL095241
459. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh 10.1007/s00382-022-06323-z
460. 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
461. An Implicit Air Quality Bias Due to the State of Pristine Aerosol X. Zhao et al. 10.1029/2021EF001979
462. Evaluation of the seasonality and spatial aspects of the Southern Annular Mode in CMIP6 models X. Zhang et al. 10.1002/joc.7447
463. Spatio-temporal Investigations of Monsoon Precipitation and Its Historical and Future Trend over Sudan M. Hamadalnel et al. 10.1007/s41748-021-00236-3
464. 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
465. Climate variability of the East Asian winter monsoon and associated extratropical–tropical interaction: a review T. Ma & W. Chen 10.1111/nyas.14620
466. The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. 10.5194/acp-24-6555-2024
467. Water level retrieval for the past and prediction for the next 30 years at Lake Fuxian L. Jialong et al. 10.18307/2022.0320
468. Predicting Climate Change Effects on the Potential Distribution of Two Invasive Cryptic Species of the Bemisia tabaci Species Complex in China Y. Xue et al. 10.3390/insects13121081
469. Future Implications of Climate Change on Arum palaestinum Boiss: Drought Tolerance, Growth and Production M. Abubaira et al. 10.3390/atmos14091361
470. Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. 10.1007/s13351-023-2195-6
471. Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data D. Koldasbayeva et al. 10.1038/s41598-022-09953-9
472. A coupled modelling framework for predicting tree species’ altitudinal migration velocity in montane forest P. Zhang et al. 10.1016/j.ecolmodel.2023.110481
473. Study on the Crop Suitability and Planting Structure Optimization in Typical Grain Production Areas under the Influence of Human Activities and Climate Change: A Case Study of the Naoli River Basin in Northeast China J. Yin & D. Wei 10.3390/su152216090
474. Symmetric and asymmetric response of Indian Summer Monsoon rainfall to different ENSO decay phases in observations and CMIP6 models J. Chowdary et al. 10.1016/j.gloplacha.2022.104000
475. Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. 10.1002/joc.7159
476. Current and projected patterns of warming and marine heatwaves in the Southern Indian Ocean C. Azarian et al. 10.1016/j.pocean.2023.103036
477. An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. 10.1175/JCLI-D-19-0928.1
478. Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models V. Arora et al. 10.5194/bg-17-4173-2020
479. Evaluation of Past and Future Climate Trends under CMIP6 Scenarios for the UBNB (Abay), Ethiopia A. Alaminie et al. 10.3390/w13152110