444 citations as recorded by crossref.

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45. 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
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48. 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
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51. 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
52. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo 10.1007/s41748-023-00370-0
53. 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
54. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
55. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
56. 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
57. 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
58. 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
59. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. 10.3390/atmos14061015
60. Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models J. Santos et al. 10.3390/land12040880
61. 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
62. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. 10.1002/joc.7673
63. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. 10.1029/2022MS003475
64. Global Changes in Water Vapor 1979–2020 R. Allan et al. 10.1029/2022JD036728
65. 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
66. Present and Future Climate-Related Distribution of Narrow- versus Wide-Ranged Ostrya Species in China S. Tang et al. 10.3390/f12101366
67. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. 10.1029/2021EF002511
68. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. 10.1016/j.accre.2021.07.007
69. 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
70. 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
71. 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
72. Assessing Soil Organic Carbon Stock Dynamics under Future Climate Change Scenarios in the Middle Qilian Mountains W. Liu et al. 10.3390/f12121698
73. 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
74. 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
75. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun 10.1029/2023GL103515
76. 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
77. 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
78. Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang et al. 10.5194/os-18-839-2022
79. 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
80. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. 10.1016/j.gloplacha.2023.104137
81. Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
82. 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
83. 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
84. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. 10.3390/biology11081100
85. 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
86. 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
87. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
88. Climatological diagnostics and subseasonal‐to‐seasonal predictions of Madden–Julian Oscillation events J. Wu et al. 10.1002/joc.7984
89. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. 10.1029/2021GL096037
90. 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
91. 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
92. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
93. MaxEnt Modeling for Predicting Suitable Habitat for Endangered Tree Keteleeria davidiana (Pinaceae) in China Q. Zhang et al. 10.3390/f14020394
94. 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
95. Gravel parameterization scheme and verification using BCC_CSM Y. Xu et al. 10.1007/s00704-022-04015-6
96. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. 10.1038/s41586-022-05364-y
97. Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
98. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. 10.1007/s00376-020-0147-y
99. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. 10.1029/2019GL086875
100. Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe R. Wilson et al. 10.1016/j.ecoinf.2024.102537
101. 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
102. 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
103. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
104. 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
105. 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
106. 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
107. 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
108. Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia M. El-Rawy et al. 10.3390/su15129513
109. 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
110. 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
111. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. 10.1029/2022EF003179
112. 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
113. 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
114. 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
115. Mango‐GPP: A Process‐Based Model for Simulating Gross Primary Productivity of Mangrove Ecosystems Y. Tang et al. 10.1029/2023MS003714
116. 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
117. 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
118. 21st‐century biogeochemical modeling: Challenges for Century‐based models and where do we go from here? D. Berardi et al. 10.1111/gcbb.12730
119. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
120. Testing a Physical Hypothesis for the Relationship Between Climate Sensitivity and Double‐ITCZ Bias in Climate Models M. Webb & A. Lock 10.1029/2019MS001999
121. 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
122. 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
123. 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
124. Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models X. Xin et al. 10.3390/atmos12060762
125. Climate Change Increases the Expansion Risk of Helicoverpa zea in China According to Potential Geographical Distribution Estimation H. Zhao et al. 10.3390/insects13010079
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. Large-scale dynamics have greater role than thermodynamics in driving precipitation extremes over India N. Sudharsan et al. 10.1007/s00382-020-05410-3
133. 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
134. 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
135. Drought characteristics projections based on CMIP6 climate change scenarios in Syria S. Mathbout et al. 10.1016/j.ejrh.2023.101581
136. Future intensification of precipitation and wind gust associated thunderstorms over Lake Victoria J. Van de Walle et al. 10.1016/j.wace.2021.100391
137. 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
138. 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
139. 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
140. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. 10.1007/s00382-023-06696-9
141. When Will MISR Detect Rising High Clouds? T. Aerenson et al. 10.1029/2021JD035865
142. Seasonal transition dates can reveal biases in Arctic sea ice simulations A. Smith et al. 10.5194/tc-14-2977-2020
143. 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
144. MODELING THE DISTRIBUTION OF THE SOUTHERN YELLOW-CHEEKED GIBBON (NOMASCUS GABRIELLAE) USING MAXENT N. Cao et al. 10.15625/2525-2518/59/5/15890
145. Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea Y. Song et al. 10.1002/joc.7386
146. 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
147. 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
148. 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
149. 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
150. 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
151. Future Changes in Global Atmospheric Rivers Projected by CMIP6 Models L. Zhang et al. 10.1029/2023JD039359
152. 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
153. 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
154. A modified thermodynamic sea ice model and its application Y. Fang et al. 10.1016/j.ocemod.2022.102096
155. Assessment of future changes in high-impact precipitation events for India using CMIP6 models N. Shahi et al. 10.1007/s00704-022-04309-9
156. 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
157. 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
158. Study on rare and endangered plants under climate: maxent modeling for identifying hot spots in northwest China H. Zhang & H. Zhao 10.1590/01047760202127012667
159. Threat assessment of future climate change to China’s seed plants J. MENG et al. 10.1360/SSV-2023-0305
160. Estimation of Potential Suitable Habitats for the Relict Plant Euptelea pleiosperma in China via Comparison of Three Niche Models H. Zhang et al. 10.3390/su151411035
161. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. 10.1029/2022MS003397
162. Integrating biogeographic approach into classical biological control: Assessing the climate matching and ecological niche overlap of two natural enemies against common ragweed in China H. Zhao et al. 10.1016/j.jenvman.2023.119095
163. Constraining Arctic Climate Projections of Wintertime Warming With Surface Turbulent Flux Observations and Representation of Surface-Atmosphere Coupling L. Boisvert et al. 10.3389/feart.2022.765304
164. Heatwave Characteristics in the Recent Climate and at Different Global Warming Levels: A Multimodel Analysis at the Global Scale A. Al‐Yaari et al. 10.1029/2022EF003301
165. The Southern Annular Mode in 6th Coupled Model Intercomparison Project Models O. Morgenstern 10.1029/2020JD034161
166. Differences in the Suitable Distribution Area between Northern and Southern China Landscape Plants C. Wang et al. 10.3390/plants12142710
167. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al. 10.1088/1748-9326/acb226
168. A climate risk analysis of Earth’s forests in the 21st century W. Anderegg et al. 10.1126/science.abp9723
169. Rainfall Erosivity Characteristics during 1961–2100 in the Loess Plateau, China X. Li et al. 10.3390/rs16040661
170. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. 10.5194/acp-21-853-2021
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172. Distribution of Breeding Population and Predicting Future Habitat under Climate Change of Black-Necked Crane (Grus nigricollis Przevalski, 1876) in Shaluli Mountains M. Li et al. 10.3390/ani12192594
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335. 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
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347. What Are the Main Causes of Positive Subtropical Low Cloud Feedbacks in Climate Models? M. Webb et al. 10.1029/2023MS003716
348. 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
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350. Projections of Precipitation and Temperature over the South Asian Countries in CMIP6 M. Almazroui et al. 10.1007/s41748-020-00157-7
351. 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
352. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. 10.1029/2021GL094532
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355. Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China Y. Zhao et al. 10.3390/agriculture11111122
356. The performance of CMIP6 models in simulating surface energy fluxes over global continents S. Liu et al. 10.1007/s00382-022-06595-5
357. 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
358. 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
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361. 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
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363. Species boundaries and conservation implications of Cinnamomum japonicum, an endangered plant in China H. Lin et al. 10.1111/jse.12950
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366. Sea-ice-free Arctic during the Last Interglacial supports fast future loss M. Guarino et al. 10.1038/s41558-020-0865-2
367. Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change Y. Yin et al. 10.3390/biology11010110
368. 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
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371. 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
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379. Impacts of Climate Change on the Biogeography and Ecological Structure of Zelkova schneideriana Hand.-Mazz. in China C. Wang et al. 10.3390/plants13060798
380. 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
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383. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. 10.1038/s41467-022-28816-5
384. Impact of the observed SST frequency in the model initialization on the BSISO prediction X. Zhu et al. 10.1007/s00382-021-05761-5
385. 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
386. Dynamics of invasive alien plant species in China under climate change scenarios W. Tu et al. 10.1016/j.ecolind.2021.107919
387. Projected wind changes in the Caribbean Sea based on CMIP6 models D. Bustos Usta & R. Torres Parra 10.1007/s00382-022-06535-3
388. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. 10.1073/pnas.2200635119
389. 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
390. Modeling of current and future distributions of Camellia sinensis in Türkiye under climate change Ş. İzmirli & S. Gül 10.1007/s00704-023-04627-6
391. 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
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393. 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
394. Prediction of Potential Distribution Area of Two Parapatric Species in Triosteum under Climate Change X. Li et al. 10.3390/su15065604
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398. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. 10.1002/joc.7834
399. Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
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401. 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
402. 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
403. 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
404. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. 10.5194/tc-15-4281-2021
405. 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
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407. Could detection and attribution of climate change trends be spurious regression? D. Cummins et al. 10.1007/s00382-022-06242-z
408. Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises J. Liu et al. 10.3390/su151310141
409. 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
410. Improvement of the simulation of the summer East Asian westerly jet from CMIP5 to CMIP6 Y. FU et al. 10.1080/16742834.2020.1746175
411. 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
412. How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. 10.1029/2022GL102466
413. Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100 J. Keeble et al. 10.5194/acp-21-5015-2021
414. Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations C. Liu et al. 10.1016/j.accre.2022.03.002
415. 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
416. 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
417. 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
418. 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
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423. 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
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426. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh 10.1007/s00382-022-06323-z
427. An Implicit Air Quality Bias Due to the State of Pristine Aerosol X. Zhao et al. 10.1029/2021EF001979
428. Evaluation of the seasonality and spatial aspects of the Southern Annular Mode in CMIP6 models X. Zhang et al. 10.1002/joc.7447
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430. 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
431. Climate variability of the East Asian winter monsoon and associated extratropical–tropical interaction: a review T. Ma & W. Chen 10.1111/nyas.14620
432. Water level retrieval for the past and prediction for the next 30 years at Lake Fuxian L. Jialong et al. 10.18307/2022.0320
433. 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
434. Future Implications of Climate Change on Arum palaestinum Boiss: Drought Tolerance, Growth and Production M. Abubaira et al. 10.3390/atmos14091361
435. Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. 10.1007/s13351-023-2195-6
436. 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
437. A coupled modelling framework for predicting tree species’ altitudinal migration velocity in montane forest P. Zhang et al. 10.1016/j.ecolmodel.2023.110481
438. 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
439. 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
440. 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
441. Current and projected patterns of warming and marine heatwaves in the Southern Indian Ocean C. Azarian et al. 10.1016/j.pocean.2023.103036
442. An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. 10.1175/JCLI-D-19-0928.1
443. 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
444. Evaluation of Past and Future Climate Trends under CMIP6 Scenarios for the UBNB (Abay), Ethiopia A. Alaminie et al. 10.3390/w13152110