922 citations as recorded by crossref.

1. Co-development of East African regional water scenarios for 2050 S. Tramberend et al. https://doi.org/10.1016/j.oneear.2021.02.012
2. European scale climate information services for water use sectors M. van Vliet et al. https://doi.org/10.1016/j.jhydrol.2015.06.060
3. Cost of preventing workplace heat-related illness through worker breaks and the benefit of climate-change mitigation J. Takakura et al. https://doi.org/10.1088/1748-9326/aa72cc
4. What Does Global Land Climate Look Like at 2°C Warming? T. Park et al. https://doi.org/10.1029/2022EF003330
5. Comparison of Changing Population Exposure to Droughts in River Basins of the Tarim and the Indus A. Wang et al. https://doi.org/10.1029/2019EF001448
6. Updated projections of UK heat-related mortality using policy-relevant global warming levels and socio-economic scenarios K. Jenkins et al. https://doi.org/10.1088/1748-9326/ac9cf3
7. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. https://doi.org/10.5194/gmd-13-4713-2020
8. The future of extreme climate in Iran S. Vaghefi et al. https://doi.org/10.1038/s41598-018-38071-8
9. Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs S. Hoseini et al. https://doi.org/10.61186/NMCE.2303.1034
10. Hazards of extreme events in China under different global warming targets J. Gao et al. https://doi.org/10.1080/20964471.2020.1769254
11. Enhancing accuracy in streamflow prediction under climate change scenarios based on an integrated machine learning–metaheuristic optimization approach S. Heshamati et al. https://doi.org/10.2166/wcc.2025.499
12. Changes in Climate Extremes in Central Asia under 1.5 and 2 °C Global Warming and their Impacts on Agricultural Productions Y. Liu et al. https://doi.org/10.3390/atmos11101076
13. Understanding the uncertainty in global forest carbon turnover T. Pugh et al. https://doi.org/10.5194/bg-17-3961-2020
14. Assessing the extent of non-stationary biases in GCMs J. Nahar et al. https://doi.org/10.1016/j.jhydrol.2017.03.045
15. Predicting the spatiotemporal variation in soil wind erosion across Central Asia in response to climate change in the 21st century J. Li et al. https://doi.org/10.1016/j.scitotenv.2019.136060
16. Projection of heat wave in China under global warming targets of 1.5 °C and 2 °C by the ISIMIP models Y. Yang et al. https://doi.org/10.1016/j.atmosres.2020.105057
17. Projected Changes in Water Balance Components of 11 Large River Basins during the 21st Century and Their Uncertainties O. Nasonova et al. https://doi.org/10.1134/S0097807821050158
18. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2 C. Zhang et al. https://doi.org/10.1007/s11442-020-1778-8
19. Extreme Precipitation and Flood Estimation Using Large Ensemble Climate Model Outputs: A Review T. Tanaka et al. https://doi.org/10.1061/JHYEFF.HEENG-6665
20. Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods M. Zhang et al. https://doi.org/10.1016/j.accre.2023.09.001
21. Impact scenarios on groundwater availability of southern Italy by joint application of regional climate models (RCMs) and meteorological time series D. Lepore et al. https://doi.org/10.1038/s41598-024-70257-1
22. Regionally variable responses of maize and soybean yield to rainfall events in China J. Fu et al. https://doi.org/10.1016/j.agrformet.2025.110458
23. Effects of Slope Ecological Restoration on Runoff and Its Response to Climate Change S. He et al. https://doi.org/10.3390/ijerph16204017
24. Protocol for estimating exposure to compound heat wave and ozone pollution under future climate change K. Lu et al. https://doi.org/10.1016/j.xpro.2023.102090
25. Climate warming effects in stratified reservoirs: Thorough assessment for opportunities and limits of machine learning techniques versus process-based models in thermal structure projections C. Mi et al. https://doi.org/10.1016/j.jclepro.2024.142347
26. Intercomparison of Univariate and Joint Bias Correction Methods in Changing Climate From a Hydrological Perspective O. Räty et al. https://doi.org/10.3390/cli6020033
27. Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0 °C Y. Chen et al. https://doi.org/10.5194/esd-9-543-2018
28. Global projections of the soil microbiome in the Anthropocene C. Guerra et al. https://doi.org/10.1111/geb.13273
29. Climate change and effectiveness of dams in flood mitigation in India U. Vegad & V. Mishra https://doi.org/10.1038/s44304-025-00117-z
30. Impacts of changing climate on the hydrology and hydropower production of the Tagus River basin A. Lobanova et al. https://doi.org/10.1002/hyp.10966
31. Modelling future hydroclimatic effects on the <i>Coregonus migratorius</i> spawning migration in the Selenga River and Lake Baikal V. Moreydo et al. https://doi.org/10.5194/piahs-381-113-2019
32. Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective J. Xiong et al. https://doi.org/10.5194/hess-26-6457-2022
33. Improved water management can increase food self-sufficiency in urban foodsheds of Sub-Saharan Africa C. Siderius et al. https://doi.org/10.1016/j.gfs.2024.100787
34. Climate Change and Geographic Ranges: The Implications for Russian Forests S. Noce et al. https://doi.org/10.3389/fevo.2019.00057
35. Projecting Temperature-Attributable Mortality and Hospital Admissions due to Enteric Infections in the Philippines P. Chua et al. https://doi.org/10.1289/EHP9324
36. The impact of climate change on growth and drought-induced mortality risk of Robinia pseudoacacia plantations along a precipitation gradient on the Chinese Loess Plateau X. Yan et al. https://doi.org/10.1016/j.agrformet.2022.109160
37. On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations A. Lira Loarca et al. https://doi.org/10.1007/s00382-023-06756-0
38. Simulation of the Potential Impacts of Projected Climate Change on Streamflow in the Vakhsh River Basin in Central Asia under CMIP5 RCP Scenarios A. Gulakhmadov et al. https://doi.org/10.3390/w12051426
39. The impact of climate and demographic changes on future mortality in Brussels, Belgium C. Crouzier et al. https://doi.org/10.1016/j.puhe.2024.07.028
40. Risk and contributing factors of ecosystem shifts over naturally vegetated land under climate change in China Y. Yin et al. https://doi.org/10.1038/srep20905
41. Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. https://doi.org/10.5194/hess-25-787-2021
42. Evaluation of Statistical-Downscaling/Bias-Correction Methods to Predict Hydrologic Responses to Climate Change in the Zarrine River Basin, Iran F. Emami & M. Koch https://doi.org/10.3390/cli6020030
43. Is time a variable like the others in multivariate statistical downscaling and bias correction? Y. Robin & M. Vrac https://doi.org/10.5194/esd-12-1253-2021
44. Projecting future minimum mortality temperature in China L. Luo et al. https://doi.org/10.1016/j.ecoenv.2024.117192
45. Intercomparison of drift correction alternatives for CMIP5 decadal precipitation M. Hossain et al. https://doi.org/10.1002/joc.7287
46. The neglected role of abandoned cropland in supporting both food security and climate change mitigation Q. Zheng et al. https://doi.org/10.1038/s41467-023-41837-y
47. Effect of (quasi-)optimum model parameter sets and model characteristics on future discharge projection of two basins from Europe and Asia A. Chamorro et al. https://doi.org/10.1007/s10584-017-1974-4
48. Effects of short-term variability of meteorological variables on soil temperature in permafrost regions C. Beer et al. https://doi.org/10.5194/tc-12-741-2018
49. Hydrological Modelling of the Mono River Basin at Athiémé E. Biao et al. https://doi.org/10.5194/piahs-384-57-2021
50. Plausible rice yield losses under future climate warming C. Zhao et al. https://doi.org/10.1038/nplants.2016.202
51. Brazilian sugarcane ethanol as an expandable green alternative to crude oil use D. Jaiswal et al. https://doi.org/10.1038/nclimate3410
52. Assessing uncertainty of hydrological and ecological parameters originating from the application of an ensemble of ten global-regional climate model projections in a coastal ecosystem of the lagoon of Venice, Italy M. Pesce et al. https://doi.org/10.1016/j.ecoleng.2019.04.011
53. Dataset of trend-preserving bias-corrected daily temperature, precipitation and wind from NEX-GDDP and CMIP5 over the Qinghai-Tibet Plateau S. Chen et al. https://doi.org/10.1016/j.dib.2020.105733
54. Soil quality both increases crop production and improves resilience to climate change L. Qiao et al. https://doi.org/10.1038/s41558-022-01376-8
55. Combined impacts of future land-use and climate stressors on water resources and quality in groundwater and surface waterbodies of the upper Thames river basin, UK M. Hutchins et al. https://doi.org/10.1016/j.scitotenv.2018.03.052
56. Comparative Analysis of Climate Change Impacts on Meteorological, Hydrological, and Agricultural Droughts in the Lake Titicaca Basin R. Zubieta et al. https://doi.org/10.3390/w13020175
57. Meteorological drought duration–severity and climate change impact in Iran F. Behzadi et al. https://doi.org/10.1007/s00704-022-04113-5
58. The spatial-temporal patterns of heatwave hazard impacts on wheat in northern China under extreme climate scenarios Q. Jiang et al. https://doi.org/10.1080/19475705.2019.1693435
59. Flood Modelling of the Zhabay River Basin Under Climate Change Conditions A. Nurbatsina et al. https://doi.org/10.3390/hydrology12020035
60. Global Estimates of Changes in the Terrestrial Water Balance Components in the Context of Possible Climate Changes O. Nasonova et al. https://doi.org/10.1134/S0097807821040151
61. Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
62. Multiple bias-correction of dynamically downscaled CMIP5 climate models temperature projection: a case study of the transboundary Komadugu-Yobe river basin, Lake Chad region, West Africa O. Adeyeri et al. https://doi.org/10.1007/s42452-020-3009-4
63. Application of performance metrics to climate models for projecting future river discharge in the Chao Phraya River basin S. Watanabe et al. https://doi.org/10.3178/hrl.8.33
64. Projected changes in flood indices in selected catchments in Poland in the 21st century M. Osuch et al. https://doi.org/10.1007/s00477-016-1296-5
65. A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning D. Carozza & M. Boudreault https://doi.org/10.1029/2020MS002221
66. Reductions in Labor Capacity from Intensified Heat Stress in China under Future Climate Change X. Liu https://doi.org/10.3390/ijerph17041278
67. Projections of Temperature-Related Suicide under Climate Change Scenarios in Japan R. Thawonmas et al. https://doi.org/10.1289/EHP11246
68. Climate change exposure of waterbird species in the African-Eurasian flyways S. NAGY et al. https://doi.org/10.1017/S0959270921000150
69. A new global dataset of bioclimatic indicators S. Noce et al. https://doi.org/10.1038/s41597-020-00726-5
70. An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment P. Smitha et al. https://doi.org/10.1016/j.jhydrol.2017.11.010
71. Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China P. Qin et al. https://doi.org/10.1016/j.apenergy.2020.115694
72. Does comprehensive evaluation of hydrological models influence projected changes of mean and high flows in the Godavari River basin? V. Mishra et al. https://doi.org/10.1007/s10584-020-02847-7
73. Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin D. Jose & G. Dwarakish https://doi.org/10.1007/s13143-021-00240-7
74. Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño Y. Yin et al. https://doi.org/10.1002/2016GL070971
75. Non‐stationary bias correction of monthlyCMIP5temperature projections over China using a residual‐based bagging tree model Y. Tao et al. https://doi.org/10.1002/joc.5188
76. Future Storm Frequency and Runoff in Small US Mid-Atlantic Watersheds Evaluated Using Capture Depth I. Khan et al. https://doi.org/10.1061/JSWBAY.0000879
77. Projected seasonal flooding in Canada under climate change with statistical and machine learning M. Grenier et al. https://doi.org/10.1016/j.ejrh.2024.101754
78. Pronounced Increases in Future Soil Erosion and Sediment Deposition as Influenced by Freeze–Thaw Cycles in the Upper Mississippi River Basin Q. Wang et al. https://doi.org/10.1021/acs.est.1c02692
79. Competing effects of nitrogen deposition and ozone exposure on northern hemispheric terrestrial carbon uptake and storage, 1850–2099 M. Franz & S. Zaehle https://doi.org/10.5194/bg-18-3219-2021
80. Human-induced climate change and population aging scenarios will amplify the heatwave-related mortality burden in China J. Chen et al. https://doi.org/10.1016/j.envint.2025.109939
81. Mapping the increased minimum mortality temperatures in the context of global climate change Q. Yin et al. https://doi.org/10.1038/s41467-019-12663-y
82. Atmospheric River Sequences as Indicators of Hydrologic Hazard in Historical Reanalysis and GFDL SPEAR Future Climate Projections C. Bowers et al. https://doi.org/10.1029/2023EF003536
83. Very rare heat extremes: quantifying and understanding using ensemble re-initialization C. Gessner et al. https://doi.org/10.1175/JCLI-D-20-0916.1
84. Attribution analyses of reference evapotranspiration changes in China incorporating surface resistance change response to elevated CO2 Y. Gui et al. https://doi.org/10.1016/j.jhydrol.2021.126387
85. Greening of the Thar Desert driven by climate change and human interventions V. Mishra et al. https://doi.org/10.1016/j.crsus.2025.100364
86. Intensification of precipitation extremes in the three river headwaters region under global warming Y. Zhang et al. https://doi.org/10.1007/s00704-025-05668-9
87. Bias correction of CMIP6 models using quantile delta mapping for projecting future IDF curves: case study of the hyderabad metropolitan region S. Saravanan & S. Ji https://doi.org/10.1007/s00704-026-06366-w
88. The Goldilocks Zone in Cooling Demand: What Can We Do Better? D. Maia‐Silva et al. https://doi.org/10.1029/2021EF002476
89. Process-Based Modeling of the High Flow of a Semi-Mountain River under Current and Future Climatic Conditions: A Case Study of the Iya River (Eastern Siberia) A. Kalugin https://doi.org/10.3390/w13081042
90. Assessment of Surface Water Availability under Climate Change Using Coupled SWAT-WEAP in Hongshui River Basin, China M. Touseef et al. https://doi.org/10.3390/ijgi10050298
91. Discontinuous Daily Temperatures in the WATCH Forcing Datasets H. Rust et al. https://doi.org/10.1175/JHM-D-14-0123.1
92. Climate-induced trends in global riverine water discharge and suspended sediment dynamics in the 21st century N. Moragoda & S. Cohen https://doi.org/10.1016/j.gloplacha.2020.103199
93. Anthropogenic warming exacerbates European soil moisture droughts L. Samaniego et al. https://doi.org/10.1038/s41558-018-0138-5
94. Review of global climate models used for drought assessment and forecasting S. Tayyaba et al. https://doi.org/10.1007/s43832-026-00352-z
95. LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome B. van den Hurk et al. https://doi.org/10.5194/gmd-9-2809-2016
96. Potential escalation of heat-related working costs with climate and socioeconomic changes in China Y. Zhao et al. https://doi.org/10.1073/pnas.1521828113
97. Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal? P. Reiter & M. Casper https://doi.org/10.3390/hydrology11090143
98. Impact of climate change on allowable bearing capacity on the Qinghai-Tibetan Plateau X. Xu & Q. Wu https://doi.org/10.1016/j.accre.2019.06.003
99. A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios H. Kim et al. https://doi.org/10.5194/gmd-11-4537-2018
100. Crop choice advisory for the West African Sudan Savanna based on soil type and presowing rainfall forecasts: A machine learning residual model approach T. Iizumi et al. https://doi.org/10.1016/j.cliser.2025.100605
101. Warming of 0.5 °C may cause double the economic loss and increase the population affected by floods in China L. Liu et al. https://doi.org/10.5194/nhess-22-1577-2022
102. Machine learning applied to global scale species distribution models A. Fuster-Alonso et al. https://doi.org/10.1038/s41598-025-20797-x
103. Projected changes in Rhine River flood seasonality under global warming E. Rottler et al. https://doi.org/10.5194/hess-25-2353-2021
104. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China Z. Li et al. https://doi.org/10.1016/j.wace.2022.100503
105. 100 years of data is not enough to establish reliable drought thresholds R. Link et al. https://doi.org/10.1016/j.hydroa.2020.100052
106. Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 °C A. Marx et al. https://doi.org/10.5194/hess-22-1017-2018
107. On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin L. Sangelantoni et al. https://doi.org/10.3390/atmos10120799
108. Estimating daily meteorological data and downscaling climate models over landscapes M. De Cáceres et al. https://doi.org/10.1016/j.envsoft.2018.08.003
109. Optimizing future mortality rate prediction of extreme temperature-related cardiovascular disease based on skewed distribution in peninsular Malaysia A. Esa et al. https://doi.org/10.2166/wcc.2022.215
110. The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests C. Reyer et al. https://doi.org/10.5194/essd-12-1295-2020
111. Future Projections of EURO‐CORDEX Raw and Bias‐Corrected Daily Maximum Wind Speeds Over Scandinavia C. Michel & A. Sorteberg https://doi.org/10.1029/2022JD037953
112. Increased human and economic losses from river flooding with anthropogenic warming F. Dottori et al. https://doi.org/10.1038/s41558-018-0257-z
113. Rice drought risk assessment under climate change: Based on physical vulnerability a quantitative assessment method H. Guo et al. https://doi.org/10.1016/j.scitotenv.2020.141481
114. Deep Learning-Based Evaluation of Offshore Wind Energy Resources in Southeastern China for the Future C. Lai et al. https://doi.org/10.3390/en19061447
115. Using a new local high resolution daily gridded dataset for Attica to statistically downscale climate projections K. Varotsos et al. https://doi.org/10.1007/s00382-022-06482-z
116. Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea H. Eum et al. https://doi.org/10.1007/s00477-016-1312-9
117. Development of world famine database for 1840–2019 and risk assessment of its occurrence and severity S. Funahashi et al. https://doi.org/10.1088/1748-9326/ad3c56
118. Bivariate bias correction of the regional climate model ensemble over the Adriatic region R. Sokol Jurković et al. https://doi.org/10.1002/joc.7564
119. Cross-border climate vulnerabilities of the European Union to drought E. Ercin et al. https://doi.org/10.1038/s41467-021-23584-0
120. Mosquito-Borne Diseases: Advances in Modelling Climate-Change Impacts N. Tjaden et al. https://doi.org/10.1016/j.pt.2017.11.006
121. Data-driven mapping of the spatial distribution and potential changes of frozen ground over the Tibetan Plateau T. Wang et al. https://doi.org/10.1016/j.scitotenv.2018.08.369
122. Time Variability Correction of CMIP6 Climate Change Projections Y. Shao et al. https://doi.org/10.1029/2023MS003640
123. Impacts of anthropogenic warming and uneven regional socio-economic development on global river flood risk X. Gu et al. https://doi.org/10.1016/j.jhydrol.2020.125262
124. Effects of Climate Change on Hydrology in the Most Relevant Mining Basin in the Eastern Legal Amazon P. Pontes et al. https://doi.org/10.3390/w14091416
125. Potential for positive biodiversity outcomes under diet-driven land use change in Great Britain H. Ferguson-Gow et al. https://doi.org/10.12688/wellcomeopenres.17698.1
126. First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble R. Dankers et al. https://doi.org/10.1073/pnas.1302078110
127. Remote sensing-based estimation of precipitation data (2000-2015) in Ecuador's Loja province L. Valverde et al. https://doi.org/10.3389/fenvs.2024.1408866
128. Emergent constraint on crop yield response to warmer temperature from field experiments X. Wang et al. https://doi.org/10.1038/s41893-020-0569-7
129. Spatiotemporal variations of aridity index over the Belt and Road region under the 1.5°C and 2.0°C warming scenarios J. Zhou et al. https://doi.org/10.1007/s11442-020-1713-z
130. Future rice farming threatened by drought in the Lower Mekong Basin H. Kang et al. https://doi.org/10.1038/s41598-021-88405-2
131. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. https://doi.org/10.5194/hess-21-2649-2017
132. Climate-driven spatiotemporal dynamics and exposure risks of global soil moisture drought–flood abrupt alternation events X. Chen et al. https://doi.org/10.1016/j.indic.2026.101235
133. The Water-Saving Strategies Assessment (WSSA) Framework: An Application for the Urmia Lake Restoration Program S. Shadkam et al. https://doi.org/10.3390/w12102789
134. Multi-Model Assessment of Streamflow Simulations under Climate and Anthropogenic Changes Exemplified in Two Indian River Basins A. Somisetty et al. https://doi.org/10.3390/w14020194
135. Projected impacts of sowing date and cultivar choice on the timing of heat and drought stress in spring barley grown along a European transect M. Appiah et al. https://doi.org/10.1016/j.fcr.2022.108768
136. The burden of heat-related mortality attributable to recent human-induced climate change A. Vicedo-Cabrera et al. https://doi.org/10.1038/s41558-021-01058-x
137. Projections of Selenga river runoff in the XXI century and uncertainty estimates T. Millionshchikova https://doi.org/10.5194/piahs-381-107-2019
138. Impacts of climate change on key soil ecosystem services and interactions in Central Asia J. Li et al. https://doi.org/10.1016/j.ecolind.2020.106490
139. Future climate risk from compound events J. Zscheischler et al. https://doi.org/10.1038/s41558-018-0156-3
140. Future Climate-Driven Runoff Change in the Large River Basins in Eastern Siberia and the Far East Using Process-Based Hydrological Models A. Kalugin https://doi.org/10.3390/w14040609
141. Atmospheric dust: cluster based frequency and intensity projections in Central Asia under SSP scenarios A. Fard et al. https://doi.org/10.1016/j.aeolia.2025.101009
142. Climate change risk to forests in China associated with warming Y. Yin et al. https://doi.org/10.1038/s41598-017-18798-6
143. Comparison of open access global climate services for hydrological data J. Merks et al. https://doi.org/10.1080/02626667.2020.1820012
144. Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenarios, climate projections, and ecosystem simulations using the ISI-MIP results K. Nishina et al. https://doi.org/10.5194/esd-6-435-2015
145. Multi-model assessment of global hydropower and cooling water discharge potential under climate change M. van Vliet et al. https://doi.org/10.1016/j.gloenvcha.2016.07.007
146. Invisible water, visible impact: groundwater use and Indian agriculture under climate change E. Zaveri et al. https://doi.org/10.1088/1748-9326/11/8/084005
147. Future temperature-related labour loss due to premature deaths: a multi-country study B. Wen et al. https://doi.org/10.1016/j.envres.2026.124045
148. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. https://doi.org/10.5194/hess-27-1627-2023
149. Model improvement and future projection of permafrost processes in a global land surface model T. Yokohata et al. https://doi.org/10.1186/s40645-020-00380-w
150. Spatiotemporal variation in reference evapotranspiration and its contributing climatic factors in China under future scenarios J. Zhao et al. https://doi.org/10.1002/joc.6429
151. Impacts of climate change on flow regime and sequential threats to riverine ecosystem in the source region of the Yellow River X. Wang et al. https://doi.org/10.1007/s12665-018-7628-7
152. The changing nature and projection of floods across Australia X. Gu et al. https://doi.org/10.1016/j.jhydrol.2020.124703
153. Projected changes in terrestrial water storage and associated flood potential across the Yangtze River basin J. Xiong et al. https://doi.org/10.1016/j.scitotenv.2022.152998
154. Greenland Ice Sheet Response to Stratospheric Aerosol Injection Geoengineering J. Moore et al. https://doi.org/10.1029/2019EF001393
155. New climate and socio-economic scenarios for assessing global human health challenges due to heat risk W. Dong et al. https://doi.org/10.1007/s10584-015-1372-8
156. A simple tool for refining GCM water availability projections, applied to Chinese catchments J. Osborne & F. Lambert https://doi.org/10.5194/hess-22-6043-2018
157. Temperature-related death burden of various neurodegenerative diseases under climate warming: a nationwide modelling study P. Yin et al. https://doi.org/10.1038/s41467-023-44066-5
158. Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate N. Herger et al. https://doi.org/10.1029/2018JD028549
159. Multimodel assessment of flood characteristics in four large river basins at global warming of 1.5, 2.0 and 3.0 K above the pre-industrial level S. Huang et al. https://doi.org/10.1088/1748-9326/aae94b
160. Characterising wind power extremes over Kenya using an enhanced process-based reanalysis-driven model C. Ang'u et al. https://doi.org/10.1016/j.renene.2026.126048
161. Multimodel assessment of sensitivity and uncertainty of evapotranspiration and a proxy for available water resources under climate change V. Mishra et al. https://doi.org/10.1007/s10584-016-1886-8
162. Keeping Us Honest: Examining Climate States and Transition Probabilities of Precipitation Projections in General Circulation Models T. Panaou et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000910
163. Propagation of biases in humidity in the estimation of global irrigation water Y. Masaki et al. https://doi.org/10.5194/esd-6-461-2015
164. Global terrestrial water storage and drought severity under climate change Y. Pokhrel et al. https://doi.org/10.1038/s41558-020-00972-w
165. Changes in historical and future precipitation patterns across the contiguous United States R. Sharif et al. https://doi.org/10.3389/feart.2025.1542536
166. Sustainability of global water use: past reconstruction and future projections Y. Wada & M. Bierkens https://doi.org/10.1088/1748-9326/9/10/104003
167. Cooling Water Sufficiency in a Warming World: Projection Using an Integrated Assessment Model and a Global Hydrological Model Q. Zhou et al. https://doi.org/10.3390/w10070872
168. Rhine flood stories: Spatio‐temporal analysis of historic and projected flood genesis in the Rhine River basin E. Rottler et al. https://doi.org/10.1002/hyp.14918
169. Human‐driven habitat conversion is a more immediate threat to Amboseli elephants than climate change V. Boult et al. https://doi.org/10.1111/csp2.87
170. Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin W. Gumindoga et al. https://doi.org/10.5194/hess-23-2915-2019
171. Assessment and Improvement of IDF Generation Algorithms Used in the IDF_CC Tool F. Alzahrani et al. https://doi.org/10.1007/s11269-022-03265-3
172. Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China S. Wen et al. https://doi.org/10.1007/s10584-020-02929-6
173. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez https://doi.org/10.3390/cli11090186
174. Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials W. Ang et al. https://doi.org/10.5194/essd-16-1209-2024
175. Multimodel Analysis of Future Land Use and Climate Change Impacts on Ecosystem Functioning A. Krause et al. https://doi.org/10.1029/2018EF001123
176. Current and future burdens of heat-related dementia hospital admissions in England J. Gong et al. https://doi.org/10.1016/j.envint.2021.107027
177. Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics S. Sippel et al. https://doi.org/10.5194/esd-8-387-2017
178. Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy A. Ayala et al. https://doi.org/10.5194/hess-24-3311-2020
179. Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China Y. Wang et al. https://doi.org/10.3390/rs13214191
180. Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. https://doi.org/10.3390/agriculture12111791
181. A new two-stage multivariate quantile mapping method for bias correcting climate model outputs Q. Guo et al. https://doi.org/10.1007/s00382-019-04729-w
182. Potential impact of climate change on throughfall in afforestation areas located in arid and semi-arid environments P. Attarod et al. https://doi.org/10.1080/15324982.2020.1804010
183. Quantifying future changes of flood hazards within the Broadland catchment in the UK R. Gudde et al. https://doi.org/10.1007/s11069-024-06590-5
184. Climate warming alters snowmelt and rainfall-runoff partitioning in a cold-region headwater basin of Northwest China P. Shi et al. https://doi.org/10.1007/s12665-025-12770-8
185. Impact of 1.5 and 2.0 °C global warming on the hydrology of the Faleme river basin M. Mbaye et al. https://doi.org/10.1016/j.ejrh.2020.100719
186. Estimating heat stress from climate-based indicators: present-day biases and future spreads in the CMIP5 global climate model ensemble Y. Zhao et al. https://doi.org/10.1088/1748-9326/10/8/084013
187. Climate impacts on human livelihoods: where uncertainty matters in projections of water availability T. Lissner et al. https://doi.org/10.5194/esd-5-355-2014
188. Atmosphere similarity patterns in boreal summer show an increase of persistent weather conditions connected to hydro-climatic risks P. Hoffmann et al. https://doi.org/10.1038/s41598-021-01808-z
189. Impacts of Climate Change on Riverine Ecosystems: Alterations of Ecologically Relevant Flow Dynamics in the Danube River and Its Major Tributaries J. Stagl & F. Hattermann https://doi.org/10.3390/w8120566
190. PInc-PanTher estimates of Arctic permafrost soil carbon under the GeoMIP G6solar and G6sulfur experiments A. Liu et al. https://doi.org/10.5194/esd-14-39-2023
191. Assessing Climate Change Impacts on Yield of “Dual‐Priority” Water Rights in Carryover Systems at Catchment Scale P. Ren et al. https://doi.org/10.1029/2023WR035376
192. Impact of Solar Radiation Management on Andean glacier-wide surface mass balance A. Fernández et al. https://doi.org/10.1038/s41612-024-00807-x
193. Controls of terrestrial ecosystem nitrogen loss on simulated productivity responses to elevated CO2 J. Meyerholt & S. Zaehle https://doi.org/10.5194/bg-15-5677-2018
194. Regional disparities in impacts of climate extremes require targeted adaptation of Fairtrade supply chains Ž. Malek et al. https://doi.org/10.1016/j.oneear.2022.07.008
195. Population exposed to drought under the 1.5 °C and 2.0 °C warming in the Indus River Basin S. Wen et al. https://doi.org/10.1016/j.atmosres.2018.12.003
196. Climate and human development impacts on municipal water demand: A spatially-explicit global modeling framework S. Parkinson et al. https://doi.org/10.1016/j.envsoft.2016.08.002
197. Critical increase in the occurrence of heat stress during reproductive growth in Russian wheat beyond 1.5 C global warming B. Templ & P. Calanca https://doi.org/10.1016/j.wace.2020.100281
198. Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements P. Arias et al. https://doi.org/10.17533/udea.redin.20210525
199. Simulating and Predicting Crop Yield and Soil Fertility under Climate Change with Fertilizer Management in Northeast China Based on the Decision Support System for Agrotechnology Transfer Model W. Yan et al. https://doi.org/10.3390/su12062194
200. Global resource consumption effects of borderless climate change: EU’s indirect vulnerability V. Kulmer et al. https://doi.org/10.1016/j.indic.2020.100071
201. Climate analogues suggest limited potential for intensification of production on current croplands under climate change T. Pugh et al. https://doi.org/10.1038/ncomms12608
202. Combining large model ensembles with extreme value statistics to improve attribution statements of rare events S. Sippel et al. https://doi.org/10.1016/j.wace.2015.06.004
203. Harmful Algal Blooms in Chinese Coastal Waters Will Persist Due to Perturbed Nutrient Ratios J. Wang et al. https://doi.org/10.1021/acs.estlett.1c00012
204. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires https://doi.org/10.1007/s10584-023-03597-y
205. Temperature-related mortality in China from specific injury J. Hu et al. https://doi.org/10.1038/s41467-022-35462-4
206. AN ANALYSIS ON CHANGES IN RISKS OF HIGH TEMPERATURE AND PRECIPITATION DAYS DUE TO CLIMATE CHANGE IN GLOBAL MAJOR URBAN AREAS A. HAYASHI & M. KII https://doi.org/10.2208/jscejipm.74.I_379
207. Improving Local Rainfall Projections in Bali through Bias Correction of CMIP6 Data: A Contribution to Hydro-Meteorological Disaster Mitigation F. Hidayati et al. https://doi.org/10.1088/1755-1315/1607/1/012045
208. Improving hydrological climate impact assessments using multirealizations from a global climate model F. Sperna Weiland et al. https://doi.org/10.1111/jfr3.12787
209. Evaluation of global warming impacts on the carbon budget of terrestrial ecosystems in monsoon Asia: a multi‐model analysis A. Ito et al. https://doi.org/10.1007/s11284-016-1354-y
210. Assessment of climate change impact and difference on the river runoff in four basins in China under 1.5 and 2.0 °C global warming H. Xu et al. https://doi.org/10.5194/hess-23-4219-2019
211. An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins S. Eisner et al. https://doi.org/10.1007/s10584-016-1844-5
212. Global Economic Responses to Heat Stress Impacts on Worker Productivity in Crop Production A. Orlov et al. https://doi.org/10.1007/s41885-021-00091-6
213. Projecting extreme climate events in China’s Loess Plateau: multiple RCMs and emission scenarios corrected by a trend-preserving method Y. Ren et al. https://doi.org/10.1007/s00704-022-04254-7
214. Differential climate impacts for policy-relevant limits to global warming: the case of 1.5 °C and 2 °C C. Schleussner et al. https://doi.org/10.5194/esd-7-327-2016
215. Impacts of global warming of 1.5 °C and 2.0 °C on precipitation patterns in China by regional climate model (COSMO-CLM) H. Sun et al. https://doi.org/10.1016/j.atmosres.2017.10.024
216. Performance-based sub-selection of CMIP6 models for impact assessments in Europe T. Palmer et al. https://doi.org/10.5194/esd-14-457-2023
217. Hotspots of Yield Loss for Four Crops of the Belt and Road Terrestrial Countries under 1.5 °C Global Warming M. Tong et al. https://doi.org/10.3390/land11020163
218. Limited Potential of Irrigation to Prevent Potato Yield Losses in Germany Under Climatechange S. Egerer et al. https://doi.org/10.2139/ssrn.4045809
219. The assessment of current mortality burden and future mortality risk attributable to compound hot extremes in China G. He et al. https://doi.org/10.1016/j.scitotenv.2021.146219
220. Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review B. Charles et al. https://doi.org/10.5897/SRE2017.6521
221. Projected changes in daily temperature extremes for selected locations over South Africa C. McBride et al. https://doi.org/10.1016/j.wace.2025.100753
222. Global ecosystem service values in climate class transitions L. Watson et al. https://doi.org/10.1088/1748-9326/ab5aab
223. Assessing future water scarcity in China under climate and socioeconomic change: Can inter-basin transfers mitigate rising stress? M. Idrees et al. https://doi.org/10.1016/j.scitotenv.2025.179812
224. National assessment of throughfall sensitivity to changes in storm magnitude for the forests of Iran P. Attarod et al. https://doi.org/10.5424/fs/2018273-13857
225. Site-specific hourly resolution wet bulb globe temperature reconstruction from gridded daily resolution climate variables for planning climate change adaptation measures J. Takakura et al. https://doi.org/10.1007/s00484-019-01692-3
226. Future Floods in Bangladesh under 1.5°C, 2°C, and 4°C Global Warming Scenarios K. Mohammed et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001705
227. An appeal to cost undermines food security risks of delayed mitigation M. Hayek et al. https://doi.org/10.1038/s41558-020-0766-4
228. EMDNA: an Ensemble Meteorological Dataset for North America G. Tang et al. https://doi.org/10.5194/essd-13-3337-2021
229. Projection of vegetation distribution to 1.5 °C and 2 °C of global warming on the Tibetan Plateau D. Zhao et al. https://doi.org/10.1016/j.gloplacha.2021.103525
230. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. https://doi.org/10.2166/wcc.2023.230
231. The implications of bias correction methods and climate model ensembles on soil erosion projections under climate change J. Eekhout & J. de Vente https://doi.org/10.1002/esp.4563
232. TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1 J. Fiddes et al. https://doi.org/10.5194/gmd-15-1753-2022
233. Global water resources affected by human interventions and climate change I. Haddeland et al. https://doi.org/10.1073/pnas.1222475110
234. Bias Correction for Precipitation Simulated by RegCM4 over the Upper Reaches of the Yangtze River Based on the Mixed Distribution Quantile Mapping Method B. Li et al. https://doi.org/10.3390/atmos12121566
235. Climate versus demographic controls on water availability across India at 1.5 °C, 2.0 °C and 3.0 °C global warming levels R. Singh & R. Kumar https://doi.org/10.1016/j.gloplacha.2019.03.006
236. Vatnajökull Mass Loss Under Solar Geoengineering Due to the North Atlantic Meridional Overturning Circulation C. Yue et al. https://doi.org/10.1029/2021EF002052
237. Consistent negative response of US crops to high temperatures in observations and crop models B. Schauberger et al. https://doi.org/10.1038/ncomms13931
238. Transboundary water scarcity under climate change T. Gao et al. https://doi.org/10.1016/j.jhydrol.2021.126453
239. Assessing global water mass transfers from continents to oceans over the period 1948–2016 D. Cáceres et al. https://doi.org/10.5194/hess-24-4831-2020
240. Projected changes in mean and interannual variability of surface water over continental China G. Leng et al. https://doi.org/10.1007/s11430-014-4987-0
241. Enhanced weathering strategies for stabilizing climate and averting ocean acidification L. Taylor et al. https://doi.org/10.1038/nclimate2882
242. Trade-offs between water needs for food, utilities, and the environment—a nexus quantification at different scales L. de Vos et al. https://doi.org/10.1088/1748-9326/ac2b5e
243. Understanding climate impacts on multivariate characteristics of rain spells in central India’s Narmada Basin A. Singh et al. https://doi.org/10.1007/s10584-026-04166-9
244. Dam Construction in Lancang‐Mekong River Basin Could Mitigate Future Flood Risk From Warming‐Induced Intensified Rainfall W. Wang et al. https://doi.org/10.1002/2017GL075037
245. Future scenarios for earthquake and flood risk in Eastern Europe and Central Asia R. Murnane et al. https://doi.org/10.1002/2016EF000481
246. An evaluation framework for downscaling and bias correction in climate change impact studies E. Vogel et al. https://doi.org/10.1016/j.jhydrol.2023.129693
247. Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America C. Rollinson et al. https://doi.org/10.1111/gcb.13626
248. Integrated Drought Index (IDI) for Drought Monitoring and Assessment in India D. Shah & V. Mishra https://doi.org/10.1029/2019WR026284
249. Synergistic effect of drought and rainfall events of different patterns on watershed systems J. Qiu et al. https://doi.org/10.1038/s41598-021-97574-z
250. Aquifer recharge in the Piedmont Alpine zone: historical trends and future scenarios E. Brussolo et al. https://doi.org/10.5194/hess-26-407-2022
251. Excessive Afforestation and Soil Drying on China's Loess Plateau S. Zhang et al. https://doi.org/10.1002/2017JG004038
252. Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications K. Abbaspour et al. https://doi.org/10.1038/s41597-019-0282-4
253. Modelling of future changes in the water regime of the Upper Kama River A. Kalugin https://doi.org/10.1088/1755-1315/834/1/012007
254. Evaluating the Effectiveness of Climate Change Adaptations in the World’s Largest Mangrove Ecosystem P. Singh et al. https://doi.org/10.3390/su11236655
255. Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin P. Parasar & A. Krishna https://doi.org/10.1038/s41598-025-13221-x
256. Towards process-informed bias correction of climate change simulations D. Maraun et al. https://doi.org/10.1038/nclimate3418
257. From Climate Model Output to Actionable Climate Information in Norway I. Nilsen et al. https://doi.org/10.3389/fclim.2022.866563
258. Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier https://doi.org/10.1002/joc.6432
259. Declining vulnerability to river floods and the global benefits of adaptation B. Jongman et al. https://doi.org/10.1073/pnas.1414439112
260. Climate Change and Air Pollution: Translating Their Interplay into Present and Future Mortality Risk for Rome and Milan Municipalities M. Michetti et al. https://doi.org/10.2139/ssrn.3977590
261. Climate Change Effects on Fish Passability across a Rock Weir in a Mediterranean River D. Mameri et al. https://doi.org/10.3390/w13192758
262. Reservoir Scheduling Using a Multi-Objective Cuckoo Search Algorithm under Climate Change in Jinsha River, China Y. Feng et al. https://doi.org/10.3390/w13131803
263. Projecting the morbidity burden of mental and behavioral disorders associated with increasing humid heat in Shanghai C. Liang et al. https://doi.org/10.1038/s44220-025-00519-y
264. High‐Temperature Extreme Events Over Africa Under 1.5 and 2 °C of Global Warming S. Nangombe et al. https://doi.org/10.1029/2018JD029747
265. Quantile delta-mapped spatial disaggregation analysis for summertime compound extremes over China R. Zhao et al. https://doi.org/10.1007/s00382-024-07341-9
266. Water security implications of coal-fired power plants financed through China's Belt and Road Initiative M. Alkon et al. https://doi.org/10.1016/j.enpol.2019.06.044
267. Assessment of water retention variation and risk warning under climate change in an inner headwater basin in the 21st century G. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128717
268. Predicting the vulnerability of seasonally-flooded wetlands to climate change across the Mediterranean Basin G. Lefebvre et al. https://doi.org/10.1016/j.scitotenv.2019.07.263
269. Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change Y. Li et al. https://doi.org/10.1016/j.ejrh.2021.100873
270. Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2 A. Friend et al. https://doi.org/10.1073/pnas.1222477110
271. Drought impacts on hydrology and water quality under climate change J. Qiu et al. https://doi.org/10.1016/j.scitotenv.2022.159854
272. Sustainability Assessment of the Water Management System for the Boukan Dam, Iran, Using CORDEX- South Asia Climate Projections F. Emami & M. Koch https://doi.org/10.3390/w10121723
273. Future projections of river nutrient export to the global coastal ocean show persisting nitrogen and phosphorus distortion A. Beusen & A. Bouwman https://doi.org/10.3389/frwa.2022.893585
274. Dependence of economic impacts of climate change on anthropogenically directed pathways J. Takakura et al. https://doi.org/10.1038/s41558-019-0578-6
275. Going Beyond the Ensemble Mean: Assessment of Future Floods From Global Multi‐Models I. Giuntoli et al. https://doi.org/10.1029/2020WR027897
276. Effect of changing vegetation and precipitation on denudation – Part 1: Predicted vegetation composition and cover over the last 21 thousand years along the Coastal Cordillera of Chile C. Werner et al. https://doi.org/10.5194/esurf-6-829-2018
277. Potential Threats from Variations of Hydrological Parameters to the Yellow River and Pearl River Basins in China over the Next 30 Years L. Liu et al. https://doi.org/10.3390/w10070883
278. Climate suitability for European ticks: assessing species distribution models against null models and projection under AR5 climate H. Williams et al. https://doi.org/10.1186/s13071-015-1046-4
279. Simulated response of soil organic carbon density to climate change in the Northern Tibet permafrost region D. Zhao et al. https://doi.org/10.1016/j.geoderma.2021.115455
280. Respiratory morbidity and extreme temperatures in the 21st century: a projection analysis in a semi-arid region of Iran H. Shoraka et al. https://doi.org/10.1080/09603123.2026.2692499
281. Impacts of 1.5 °C and 2 °C global warming on winter snow depth in Central Asia Y. Li et al. https://doi.org/10.1016/j.scitotenv.2018.10.126
282. Assessment of Climate Change Impacts on Drought in the Okpara Basin at Nanon (Benin) E. Obada et al. https://doi.org/10.4236/acs.2026.162014
283. Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling H. Wang et al. https://doi.org/10.1038/s41467-020-18743-8
284. Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz https://doi.org/10.1007/s10584-020-02858-4
285. Hydrological and Meteorological Variability in the Volga River Basin under Global Warming by 1.5 and 2 Degrees A. Kalugin https://doi.org/10.3390/cli10070107
286. Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study W. Lee et al. https://doi.org/10.1016/S2542-5196(20)30222-9
287. Water competition between cities and agriculture driven by climate change and urban growth M. Flörke et al. https://doi.org/10.1038/s41893-017-0006-8
288. Climate change impacts on conventional and flash droughts in the Mekong River Basin H. Kang et al. https://doi.org/10.1016/j.scitotenv.2022.155845
289. Constrained CMIP6 projections indicate higher risks of future water shortages in Australia Y. Chai et al. https://doi.org/10.1016/j.ejrh.2024.102090
290. Risks for the global freshwater system at 1.5 °C and 2 °C global warming P. Döll et al. https://doi.org/10.1088/1748-9326/aab792
291. Climate and water resource change impacts and adaptation potential for US power supply A. Miara et al. https://doi.org/10.1038/nclimate3417
292. CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins T. Berezowski et al. https://doi.org/10.5194/essd-8-127-2016
293. Non-optimal temperature-attributable mortality and morbidity burden by cause, age and sex under climate and population change scenarios: a nationwide modelling study in Japan L. Yuan et al. https://doi.org/10.1016/j.lanwpc.2024.101214
294. Climate change impact on streamflow in large-scale river basins: projections and their uncertainties sourced from GCMs and RCP scenarios O. Nasonova et al. https://doi.org/10.5194/piahs-379-139-2018
295. Adaptation to Climate Change: A Comparative Analysis of Modeling Methods for Heat-Related Mortality S. Gosling et al. https://doi.org/10.1289/EHP634
296. Climate warming causes changes in wheat phenological development that benefit yield in the Sichuan Basin of China M. Li et al. https://doi.org/10.1016/j.eja.2022.126574
297. Increased impact of heat domes on 2021-like heat extremes in North America under global warming X. Zhang et al. https://doi.org/10.1038/s41467-023-37309-y
298. Global Asymmetries in the Influence of ENSO on Flood Risk Based on 1,600 Years of Hybrid Simulations L. Del Rio Amador et al. https://doi.org/10.1029/2022GL102027
299. Global Socioeconomic Risk of Precipitation Extremes Under Climate Change Y. Liu et al. https://doi.org/10.1029/2019EF001331
300. Evolution of Hydrological Characteristics in the Middle Reaches of the Yellow River: Indications for Basin Drought and Flood Risks J. Wang et al. https://doi.org/10.1134/S0097807825604261
301. US Maize Data Reveals Adaptation to Heat and Water Stress T. Thomas https://doi.org/10.2139/ssrn.2741261
302. Multi-model projections of precipitation extremes in Southeast Asia based on CORDEX-Southeast Asia simulations . Supari et al. https://doi.org/10.1016/j.envres.2020.109350
303. A simple method of bias correction for GCM derived streamflow at catchment scale S. Islam et al. https://doi.org/10.1080/02626667.2023.2218036
304. Simulation of structural and non-structural measures for climate change adaptation in water resources systems in the Capibaribe and Ipojuca River basins, Pernambuco state, Brazil L. Costa Ferreira Nunes & A. Ribeiro Neto https://doi.org/10.2166/wcc.2025.502
305. Global evaluation of a semiempirical model for yield anomalies and application to within‐season yield forecasting B. Schauberger et al. https://doi.org/10.1111/gcb.13738
306. Changes in apparent temperature and PM2.5 around the Beijing–Tianjin megalopolis under greenhouse gas and stratospheric aerosol intervention scenarios J. Wang et al. https://doi.org/10.5194/esd-14-989-2023
307. Utility of Open-Access Long-Term Precipitation Data Products for Correcting Climate Model Projection in South China D. Cao et al. https://doi.org/10.3390/w15162906
308. Projection of extreme precipitation in the context of climate change in Huang-Huai-Hai region, China J. YIN et al. https://doi.org/10.1007/s12040-016-0664-3
309. Risk-based versus storyline approaches for global warming impact assessment on basin-averaged extreme rainfall: a case study for Typhoon Hagibis in eastern Japan T. Tanaka et al. https://doi.org/10.1088/1748-9326/accc24
310. A national hydrological projections service for Australia L. Wilson et al. https://doi.org/10.1016/j.cliser.2022.100331
311. The VALUE perfect predictor experiment: Evaluation of temporal variability D. Maraun et al. https://doi.org/10.1002/joc.5222
312. Multi-country projections of temperature-related suicide mortality H. Ro et al. https://doi.org/10.1038/s44220-026-00674-w
313. Effects of mesophyll conductance on vegetation responses to elevated CO2concentrations in a land surface model J. Knauer et al. https://doi.org/10.1111/gcb.14604
314. Large Gender Differences in Vulnerability to Circulatory-System Disease Under Current and Future Climate in Bucharest and its Rural Surroundings Z. Chitu et al. https://doi.org/10.2139/ssrn.4182414
315. Future projections of reference evapotranspiration in semi-arid areas: CMIP6 bias correction, climate trends, and implications for irrigation in the Chichaoua agricultural basin in Morocco A. Bounajra et al. https://doi.org/10.1016/j.ejrh.2026.103664
316. Modelling framework for flow, sediments and nutrient loads in a large transboundary river watershed: A climate change impact assessment of the Nemunas River watershed N. Čerkasova et al. https://doi.org/10.1016/j.jhydrol.2021.126422
317. Assessments of joint hydrological extreme risks in a warming climate in China G. Leng et al. https://doi.org/10.1002/joc.4447
318. Thermal pollution impacts on rivers and power supply in the Mississippi River watershed A. Miara et al. https://doi.org/10.1088/1748-9326/aaac85
319. Enhanced economic connectivity to foster heat stress–related losses L. Wenz & A. Levermann https://doi.org/10.1126/sciadv.1501026
320. WITHDRAWN: Transboundary water scarcity under climate change T. Gao et al. https://doi.org/10.1016/j.hydroa.2021.100080
321. Multisectoral climate impact hotspots in a warming world F. Piontek et al. https://doi.org/10.1073/pnas.1222471110
322. Assessing and predicting hydro-biogeochemical dynamics in the Weihe River basin in a shifting climate G. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133189
323. Constraining models for methane oxidation based on long-term continuous chamber measurements in a temperate forest soil M. Ueyama et al. https://doi.org/10.1016/j.agrformet.2021.108654
324. Regional Inequalities in Flood Insurance Affordability and Uptake under Climate Change M. Tesselaar et al. https://doi.org/10.3390/su12208734
325. Central Asian rivers under climate change: Impacts assessment in eight representative catchments I. Didovets et al. https://doi.org/10.1016/j.ejrh.2021.100779
326. Improvement of the CERES-Rice model using controlled experiments and a Meta-analysis Q. Sun et al. https://doi.org/10.1007/s00704-020-03256-7
327. Suitability projection for Chinese ski areas under future natural and socioeconomic scenarios J. Deng et al. https://doi.org/10.1016/j.accre.2021.03.007
328. Reliability and economic assessment of rainwater harvesting systems for dairy production S. Muhirirwe et al. https://doi.org/10.1016/j.rcradv.2022.200079
329. Assessing changes of river discharge under global warming of 1.5 °C and 2 °C in the upper reaches of the Yangtze River Basin: Approach by using multiple- GCMs and hydrological models J. Chen et al. https://doi.org/10.1016/j.quaint.2017.01.017
330. Adapting viticulture to climate change in the Mediterranean region: Evaluations accounting for spatial differences in the producers-climate interactions D. Santillán et al. https://doi.org/10.1051/bioconf/20191201001
331. Impact Classification of Future Land Use and Climate Changes on Flow Regimes in the Yellow River Source Region, China W. Wang et al. https://doi.org/10.1029/2020JD034064
332. Using climate model simulations to assess the current climate risk to maize production C. Kent et al. https://doi.org/10.1088/1748-9326/aa6cb9
333. Population exposure to precipitation extremes in the Indus River Basin at 1.5 °C, 2.0 °C and 3.0 °C warming levels J. Zhao et al. https://doi.org/10.1016/j.accre.2021.03.005
334. Assessment of Flood Hazard in Climatic Extreme Considering Fluvio-Morphic Responses of the Contributing River: Indications from the Brahmaputra-Jamuna’s Braided-Plain . Shampa et al. https://doi.org/10.3390/geohazards3040024
335. Impacts of land-use and land-cover changes on temperature-related mortality A. Orlov et al. https://doi.org/10.1097/EE9.0000000000000337
336. Climate and land use change: future impacts on hydropower and revenue for the amazon E. de Oliveira Serrão et al. https://doi.org/10.1016/j.jclepro.2022.135700
337. Projected changes in Caspian sea level under CMIP6 climate change scenarios: probabilistic and deterministic approaches S. Hoseini et al. https://doi.org/10.1007/s00382-024-07548-w
338. Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators S. Kuzma et al. https://doi.org/10.46830/writn.23.00061
339. Projected Increase in Hydropower Production in India under Climate Change S. Ali et al. https://doi.org/10.1038/s41598-018-30489-4
340. Dengue transmission risk in a changing climate: Bangladesh is likely to experience a longer dengue fever season in the future K. Paul et al. https://doi.org/10.1088/1748-9326/ac2b60
341. Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6 H. Wu et al. https://doi.org/10.1088/2515-7620/ac620e
342. Climate Change Impact On Water Balance Components In Arctic River Basins O. Nasonova et al. https://doi.org/10.24057/2071-9388-2021-144
343. Land-Use and Carbon Cycle Responses to Moderate Climate Change: Implications for Land-Based Mitigation? F. Humpenöder et al. https://doi.org/10.1021/es506201r
344. Projections of temperature-attributable mortality in Europe: a time series analysis of 147 contiguous regions in 16 countries È. Martínez-Solanas et al. https://doi.org/10.1016/S2542-5196(21)00150-9
345. The issue of properly ordering climate indices calculation and bias correction before identifying spatial analogs for agricultural applications P. Grenier et al. https://doi.org/10.1016/j.cliser.2019.100122
346. Assessing impacts and community preparedness to cyclones: a fuzzy cognitive mapping approach P. Singh & H. Chudasama https://doi.org/10.1007/s10584-017-2007-z
347. Global and regional changes in exposure to extreme heat and the relative contributions of climate and population change Z. Liu et al. https://doi.org/10.1038/srep43909
348. Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran B. Kamali et al. https://doi.org/10.3390/w9040241
349. An extremes-weighted empirical quantile mapping for global climate model data bias correction for improved emphasis on extremes A. Rohith & R. Cibin https://doi.org/10.1007/s00704-024-04965-z
350. CHELSA-TraCE21k – high-resolution (1 km) downscaled transient temperature and precipitation data since the Last Glacial Maximum D. Karger et al. https://doi.org/10.5194/cp-19-439-2023
351. Hands-on Tutorial on a Modeling Framework for Projections of Climate Change Impacts on Health A. Vicedo-Cabrera et al. https://doi.org/10.1097/EDE.0000000000000982
352. Offshore fresh groundwater in coastal unconsolidated sediment systems as a potential fresh water source in the 21st century D. Zamrsky et al. https://doi.org/10.1088/1748-9326/ac4073
353. Standardized Precipitation Evapotranspiration Index is highly correlated with total water storage over China under future climate scenarios Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2018.09.028
354. Evaluation of future flood risk in Asian megacities: a case study of Jakarta N. Fajar Januriyadi et al. https://doi.org/10.3178/hrl.12.14
355. Economywide effects of climate‐smart agriculture in Ethiopia A. Komarek et al. https://doi.org/10.1111/agec.12523
356. Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall C. Ciemer et al. https://doi.org/10.1038/s41561-019-0312-z
357. Similar estimates of temperature impacts on global wheat yield by three independent methods B. Liu et al. https://doi.org/10.1038/nclimate3115
358. Quantitative Assessment of Drought Risk in Major Rice-Growing Areas in China Driven by Process-Based Crop Growth Model T. Lin et al. https://doi.org/10.3390/geohazards6040085
359. Emulating maize yields from global gridded crop models using statistical estimates E. Blanc & B. Sultan https://doi.org/10.1016/j.agrformet.2015.08.256
360. Heat-related mortality burden of type 1 diabetes, type 2 diabetes, and diabetes complications in mainland China amid global warming: a nationwide, case-crossover study H. Luo et al. https://doi.org/10.1016/j.lanplh.2025.101384
361. The efficiency of phenological shifts as an adaptive response against climate change: a case study of loggerhead sea turtles (Caretta caretta) in the Mediterranean V. Almpanidou et al. https://doi.org/10.1007/s11027-017-9777-5
362. First process-based simulations of climate change impacts on global tea production indicate large effects in the World’s major producer countries T. Beringer et al. https://doi.org/10.1088/1748-9326/ab649b
363. Diverging projections for flood and rainfall frequency curves C. Wasko et al. https://doi.org/10.1016/j.jhydrol.2023.129403
364. Estimating water–food–ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2.6) Y. Yamagata et al. https://doi.org/10.1007/s11625-017-0522-5
365. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. https://doi.org/10.1007/s00382-022-06436-5
366. Limited Role of Working Time Shift in Offsetting the Increasing Occupational‐Health Cost of Heat Exposure J. Takakura et al. https://doi.org/10.1029/2018EF000883
367. Assessing observed and projected flood vulnerability under climate change using multi-modeling statistical approaches in the Ouémé River Basin, Benin (West Africa) J. Hounkpè et al. https://doi.org/10.1007/s10113-022-01957-5
368. Sustainable intensification of crop residue exploitation for bioenergy: Opportunities and challenges I. Mouratiadou et al. https://doi.org/10.1111/gcbb.12649
369. Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. https://doi.org/10.5194/bg-14-4829-2017
370. Soil microbial diversity associates with lower prevalence of human bacterial pathogens across global soils C. Xiong et al. https://doi.org/10.1016/j.chom.2026.03.011
371. Future climate impacts on global agricultural yields over the 21st century S. Waldhoff et al. https://doi.org/10.1088/1748-9326/abadcb
372. Global change in streamflow extremes under climate change over the 21st century B. Asadieh & N. Krakauer https://doi.org/10.5194/hess-21-5863-2017
373. Modeling runoff management strategies under climate change scenarios using hydrological simulation in the Zarrineh River Basin, Iran M. Rahvareh et al. https://doi.org/10.2166/wcc.2023.511
374. CO2 fertilization effect may balance climate change impacts on oil palm cultivation T. Beringer et al. https://doi.org/10.1088/1748-9326/accbd5
375. Assessing Long-Term Hydrological Impact of Climate Change Using an Ensemble Approach and Comparison with Global Gridded Model-A Case Study on Goodwater Creek Experimental Watershed S. Gautam et al. https://doi.org/10.3390/w10050564
376. Climate change is intensifying rainfall erosivity and soil erosion in West Africa O. Adeyeri et al. https://doi.org/10.1016/j.scitotenv.2024.177174
377. Increased flood risk in Indian sub-continent under the warming climate H. Ali et al. https://doi.org/10.1016/j.wace.2019.100212
378. Persistent river heatwaves are emerging worldwide under climate change Y. Chen et al. https://doi.org/10.1038/s41467-025-66868-5
379. Global glacier volume projections under high-end climate change scenarios S. Shannon et al. https://doi.org/10.5194/tc-13-325-2019
380. The Vegetation Dynamics and Climate Change Responses by Leaf Area Index in the Mu Us Desert D. Zheng et al. https://doi.org/10.3390/su11113151
381. Bias correction of WRF output for operational avalanche forecasting in the Indian Himalayan region N. Samal & S. Jha https://doi.org/10.1007/s12040-022-01899-w
382. Climate impact research: beyond patchwork V. Huber et al. https://doi.org/10.5194/esd-5-399-2014
383. Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy L. Sangelantoni et al. https://doi.org/10.1007/s00704-018-2406-8
384. Projected soil organic carbon loss in response to climate warming and soil water content in a loess watershed F. Zhao et al. https://doi.org/10.1186/s13021-021-00187-2
385. Performances of climatic indicators from seasonal forecasts for ecosystem management: The case of Central Europe and the Mediterranean J. Costa-Saura et al. https://doi.org/10.1016/j.agrformet.2022.108921
386. Can the variability in precipitation simulations across GCMs be reduced through sensible bias correction? H. Nguyen et al. https://doi.org/10.1007/s00382-016-3510-z
387. Increasing dependence of lowland populations on mountain water resources D. Viviroli et al. https://doi.org/10.1038/s41893-020-0559-9
388. The global nexus of food–trade–water sustaining environmental flows by 2050 A. Pastor et al. https://doi.org/10.1038/s41893-019-0287-1
389. Global socioeconomic exposure of heat extremes under climate change J. Chen et al. https://doi.org/10.1016/j.jclepro.2020.123275
390. Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 models X. Li & Z. Li https://doi.org/10.1007/s00382-023-06778-8
391. Impacts of future land cover and climate changes on runoff in the mostly afforested river basin in North China W. Yang et al. https://doi.org/10.1016/j.jhydrol.2018.12.055
392. Assessing flood risk in Baiyangdian Lake area in a changing climate using an integrated hydrological-hydrodynamic modelling Y. Wang et al. https://doi.org/10.1080/02626667.2019.1657577
393. Solar dimming or brightening in the upper reaches of the Yangtze River Basin under 1.5 °C and 2 °C global warming targets? Z. Wang et al. https://doi.org/10.1088/1755-1315/675/1/012037
394. Legacy Effects from Historical Environmental Changes Dominate Future Terrestrial Carbon Uptake A. Krause et al. https://doi.org/10.1029/2020EF001674
395. Past and future terrestrial water storage changes in the lower Mekong River basin: The influences of climatic and non-climatic factors J. Xiong et al. https://doi.org/10.1016/j.jhydrol.2022.128275
396. Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. https://doi.org/10.5194/gmd-16-4249-2023
397. A methodological framework to assess PMP and PMF in snow-dominated watersheds under changing climate conditions – A case study of three watersheds in Québec (Canada) H. Rouhani & R. Leconte https://doi.org/10.1016/j.jhydrol.2018.04.047
398. Quantifying the net contribution of the historical Amazonian deforestation to climate change J. Exbrayat & M. Williams https://doi.org/10.1002/2015GL063497
399. Integrated modeling analysis of estuarine responses to extreme hydrological events and sea-level rise W. Wu et al. https://doi.org/10.1016/j.ecss.2021.107555
400. Impact of precipitation and increasing temperatures on drought trends in eastern Africa S. Kew et al. https://doi.org/10.5194/esd-12-17-2021
401. Improving Future Estimation of Cheliff-Mactaa-Tafna Streamflow via an Ensemble of Bias Correction Approaches M. Renima et al. https://doi.org/10.3390/cli10080123
402. Assessment of the Future Climate Change Projections on Streamflow Hydrology and Water Availability over Upper Xijiang River Basin, China M. Touseef et al. https://doi.org/10.3390/app10113671
403. Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment C. Prudhomme et al. https://doi.org/10.1073/pnas.1222473110
404. Potential for positive biodiversity outcomes under diet-driven land use change in Great Britain H. Ferguson-Gow et al. https://doi.org/10.12688/wellcomeopenres.17698.2
405. Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. https://doi.org/10.1029/2023JF007112
406. Future cooling gap in shared socioeconomic pathways M. Andrijevic et al. https://doi.org/10.1088/1748-9326/ac2195
407. A bias-corrected CMIP5 dataset for Africa using the CDF-t method – a contribution to agricultural impact studies A. Famien et al. https://doi.org/10.5194/esd-9-313-2018
408. Human-Induced Alterations to Land Use and Climate and Their Responses for Hydrology and Water Management in the Mekong River Basin V. Sridhar et al. https://doi.org/10.3390/w11061307
409. Regional climate projections using a deep-learning–based model-ranking and downscaling framework: application to European climate zones P. Loganathan et al. https://doi.org/10.1007/s11356-025-36872-9
410. Climate change impacts in Sub-Saharan Africa: from physical changes to their social repercussions O. Serdeczny et al. https://doi.org/10.1007/s10113-015-0910-2
411. Global impact of climate change on soil erosion and potential for adaptation through soil conservation J. Eekhout & J. de Vente https://doi.org/10.1016/j.earscirev.2022.103921
412. Future trends of water resources and influences on agriculture in China J. Zhao et al. https://doi.org/10.1371/journal.pone.0231671
413. A framework for analyzing climate change impacts on agricultural value chain T. Ali et al. https://doi.org/10.26599/ECM.2024.9400005
414. Predicted temperature-increase-induced global health burden and its regional variability J. Lee et al. https://doi.org/10.1016/j.envint.2019.105027
415. Bias correction of RCM outputs using mixture distributions under multiple extreme weather influences J. Shin et al. https://doi.org/10.1007/s00704-018-2585-3
416. Direct vegetation response to CO2 rise is critical in projecting seasonal soil moisture droughts in mainland China S. Chen et al. https://doi.org/10.1016/j.jhydrol.2025.133639
417. Preserving the world second largest hypersaline lake under future irrigation and climate change S. Shadkam et al. https://doi.org/10.1016/j.scitotenv.2016.03.190
418. Climate change impacts on hydrology and water resources in East Africa considering CMIP3, CMIP5, and CMIP6 C. Onyutha https://doi.org/10.3389/fclim.2024.1453726
419. Dominance and natural suppression of bacterial plant pathogens across global soils M. Gao et al. https://doi.org/10.1038/s41467-026-70233-5
420. Correcting systematic biases across multiple atmospheric variables in the frequency domain H. Nguyen et al. https://doi.org/10.1007/s00382-018-4191-6
421. Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study O. Andrews et al. https://doi.org/10.1016/S2542-5196(18)30240-7
422. Intensification of drought characteristics in Africa’s Great Green Wall countries under climate change K. Reda et al. https://doi.org/10.1007/s10113-026-02548-4
423. Response of long‐term water availability to more extreme climate in the Pearl River Basin, China J. Li et al. https://doi.org/10.1002/joc.4910
424. Global to regional scale evaluation of adaptation measures to reduce the future water gap M. Straatsma et al. https://doi.org/10.1016/j.envsoft.2019.104578
425. Acute climate risks in the financial system: examining the utility of climate model projections A. Pitman et al. https://doi.org/10.1088/2752-5295/ac856f
426. Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables A. Cannon https://doi.org/10.1007/s00382-017-3580-6
427. DEVELOPMENT AND EVALUATION OF EMULATORS FOR THE ASSESSMENT OF THE GLOBAL-SCALE ECONOMIC IMPACT OF CLIMATE CHANGE J. TAKAKURA et al. https://doi.org/10.2208/jscejer.75.I_73
428. Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. https://doi.org/10.5194/ascmo-9-29-2023
429. Predicting the climate change impacts on water-carbon coupling cycles for a loess hilly-gully watershed F. Zhao et al. https://doi.org/10.1016/j.jhydrol.2019.124388
430. Yield risks in global maize markets: Historical evidence and projections in key regions of the world N. Villoria & B. Chen https://doi.org/10.1016/j.wace.2018.01.003
431. Climate change impact on flood and extreme precipitation increases with water availability H. Tabari https://doi.org/10.1038/s41598-020-70816-2
432. Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change F. Emami & M. Koch https://doi.org/10.3390/su10113953
433. Impacts of climate change on streamflow in the upper Yangtze River basin B. Su et al. https://doi.org/10.1007/s10584-016-1852-5
434. Analysis of low flow indices under varying climatic conditions in Poland M. Osuch et al. https://doi.org/10.2166/nh.2017.021
435. Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China C. Xu et al. https://doi.org/10.1007/s11027-015-9688-2
436. Projected Changes in Permafrost Active Layer Thickness Over the Qinghai‐Tibet Plateau Under Climate Change D. Zhao & S. Wu https://doi.org/10.1029/2019WR024969
437. Spring onsets of a young forest in interior Alaska determined based on time‑lapse camera and eddy covariance measurements S. KAWASHIMA et al. https://doi.org/10.2480/agrmet.D-21-00003
438. Impact of lifestyle, human diet and nutrient use efficiency in food production on eutrophication of global aquifers and surface waters A. Bouwman et al. https://doi.org/10.1016/j.gloenvcha.2024.102874
439. Drought characteristics in the Middle East simulated by raw and bias-corrected CMIP6 models B. Ghazi et al. https://doi.org/10.1016/j.scitotenv.2025.180468
440. The proportion of soil-borne pathogens increases with warming at the global scale M. Delgado-Baquerizo et al. https://doi.org/10.1038/s41558-020-0759-3
441. The impact of heat on kidney stone presentations in South Carolina under two climate change scenarios J. Kaufman et al. https://doi.org/10.1038/s41598-021-04251-2
442. Modelling the impacts of intensifying forest management on carbon budget across a long latitudinal gradient in Europe A. Akujärvi et al. https://doi.org/10.1088/1748-9326/aaf766
443. Impact of rainfed and irrigated agriculture systems on soil carbon stock under different climate scenarios in the semi-arid region of Brazil A. Carvalho et al. https://doi.org/10.1007/s40333-022-0092-y
444. Nonparametric temporal downscaling with event-based population generating algorithm for RCM daily precipitation to hourly: Model development and performance evaluation T. Lee & T. Park https://doi.org/10.1016/j.jhydrol.2017.01.049
445. Evaluating the performance of conservation practices under climate change scenarios in the Miyun Reservoir Watershed, China J. Qiu et al. https://doi.org/10.1016/j.ecoleng.2019.105700
446. Managing the water–electricity demand nexus in a warming climate R. Obringer et al. https://doi.org/10.1007/s10584-020-02669-7
447. Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation A. Ruane et al. https://doi.org/10.1016/j.agrformet.2014.09.016
448. Mitigating crop modeling uncertainties through machine learning in drylands M. Nouri & S. Veysi https://doi.org/10.1038/s41598-025-26811-6
449. Avoided economic impacts of energy demand changes by 1.5 and 2 °C climate stabilization C. Park et al. https://doi.org/10.1088/1748-9326/aab724
450. Future hydro-climatic vulnerability and its impact on water resources and economic crop suitability in Thailand N. Tangdamrongsub et al. https://doi.org/10.1007/s44288-026-00599-y
451. Field experiments and model simulation based evaluation of rice yield response to projected climate change in Southeastern China W. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.143206
452. Towards a comprehensive climate impacts assessment of solar geoengineering P. Irvine et al. https://doi.org/10.1002/2016EF000389
453. Dryland changes under different levels of global warming A. Koutroulis https://doi.org/10.1016/j.scitotenv.2018.11.215
454. Quantification of the ecosystem carrying capacity on China’s Loess Plateau W. Liang et al. https://doi.org/10.1016/j.ecolind.2019.01.020
455. Systems Analysis of Coupled Natural and Human Processes in the Mekong River Basin V. Sridhar et al. https://doi.org/10.3390/hydrology8030140
456. Greenland Ice Sheet Surface Runoff Projections to 2200 Using Degree-Day Methods C. Yue et al. https://doi.org/10.3390/atmos12121569
457. Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0 P. Uhe et al. https://doi.org/10.5194/gmd-14-4865-2021
458. Global exposure and vulnerability to multi-sector development and climate change hotspots E. Byers et al. https://doi.org/10.1088/1748-9326/aabf45
459. Hydropower Production Benefits More From 1.5 °C than 2 °C Climate Scenario Y. Meng et al. https://doi.org/10.1029/2019WR025519
460. Climate warming may undermine sleep duration and quality in repeated-measure study of 23 million records A. Li et al. https://doi.org/10.1038/s41467-025-57781-y
461. The impact of climate change on incomes and convergence in Africa F. Baarsch et al. https://doi.org/10.1016/j.worlddev.2019.104699
462. Untangling the effects of future climate change and human activity on evapotranspiration in the Heihe agricultural region, Northwest China M. Zou et al. https://doi.org/10.1016/j.jhydrol.2019.124323
463. Climate change risks and adaptation: new indicators for Mediterranean viticulture D. Santillán et al. https://doi.org/10.1007/s11027-019-09899-w
464. Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models M. Onderka et al. https://doi.org/10.2478/johh-2024-0025
465. Ensemble projections elucidate effects of uncertainty in terrestrial nitrogen limitation on future carbon uptake J. Meyerholt et al. https://doi.org/10.1111/gcb.15114
466. Time Scale Decomposition of Climate and Correction of Variability Using Synthetic Samples of Stable Distributions M. Gomez‐Garcia et al. https://doi.org/10.1029/2018WR023053
467. Effect of droughts and climate change on future soil weathering rates in Sweden V. Kronnäs et al. https://doi.org/10.5194/bg-20-1879-2023
468. Temperature increase reduces global yields of major crops in four independent estimates C. Zhao et al. https://doi.org/10.1073/pnas.1701762114
469. Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions Y. Yao et al. https://doi.org/10.3390/rs11010081
470. Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data S. Muis et al. https://doi.org/10.1016/j.scitotenv.2015.08.068
471. Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades J. Fu et al. https://doi.org/10.1038/s43016-023-00753-6
472. Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b) K. Frieler et al. https://doi.org/10.5194/gmd-10-4321-2017
473. Contribution of Land Water Storage Change to Regional Sea-Level Rise Over the Twenty-First Century S. Karabil et al. https://doi.org/10.3389/feart.2021.627648
474. Uncertainties in projected runoff over the conterminous United States I. Giuntoli et al. https://doi.org/10.1007/s10584-018-2280-5
475. Performance of fine particulate matter data on air quality in an epidemiological study in Salvador, Brazil L. Jacobson et al. https://doi.org/10.1590/1980-549720240068
476. Future supply and demand of net primary production in the Sahel F. Sallaba et al. https://doi.org/10.5194/esd-8-1191-2017
477. Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management S. Siatwiinda et al. https://doi.org/10.1007/s10584-021-03191-0
478. The 2018–2020 Multi‐Year Drought Sets a New Benchmark in Europe O. Rakovec et al. https://doi.org/10.1029/2021EF002394
479. Heat stress may cause a significant reduction of rice yield in China under future climate scenarios Q. Sun et al. https://doi.org/10.1016/j.scitotenv.2021.151746
480. Projecting Changes in Russian Northern River Runoff due to Possible Climate Change during the 21st Century: A Case Study of the Northern Dvina, Taz and Indigirka Rivers O. Nasonova et al. https://doi.org/10.1134/S0097807819070145
481. Future Climatic Projections and Hydrological Responses in the Upper Beijiang River Basin of South China Using Bias‐Corrected RegCM 4.6 Data X. Chen et al. https://doi.org/10.1029/2021JD034550
482. Multimodel assessment of water scarcity under climate change J. Schewe et al. https://doi.org/10.1073/pnas.1222460110
483. Water Resources Under Climate Change in Himalayan Basins H. Li et al. https://doi.org/10.1007/s11269-015-1194-5
484. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. https://doi.org/10.1029/2021EF002511
485. Projected changes in heatwaves over Central and South America using high-resolution regional climate simulations M. Ramarao et al. https://doi.org/10.1038/s41598-024-73521-6
486. Effects of Bias-Correcting Climate Model Data on the Projection of Future Changes in High Flows V. Wörner et al. https://doi.org/10.3390/hydrology6020046
487. Potential of rainfall data hybridization in a data-scarce region F. Wambura https://doi.org/10.1016/j.sciaf.2020.e00449
488. Assessment of the impact of climate change on current and future flows of the ungauged Aga-Foua-Djilas watershed: a comparative study of hydrological models CWatM under ISIMIP and HMF-WA P. Dione et al. https://doi.org/10.1007/s13201-024-02219-x
489. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. https://doi.org/10.1371/journal.pone.0165630
490. Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions I. Pechlivanidis et al. https://doi.org/10.1007/s10584-016-1723-0
491. Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective W. Liu et al. https://doi.org/10.1029/2018JD028984
492. An EPIC model-based wheat drought risk assessment using new climate scenarios in China Y. Yue et al. https://doi.org/10.1007/s10584-018-2150-1
493. Evaluation of key flood risk drivers under climate change using a bottom-up approach D. O’Shea et al. https://doi.org/10.1016/j.jhydrol.2024.131694
494. Neural advection-diffusion equation for long-term climate dynamics N. Cho et al. https://doi.org/10.1016/j.neucom.2026.134500
495. Assessing the Burden of Suicide Death Associated With Nonoptimum Temperature in a Changing Climate Y. Zhou et al. https://doi.org/10.1001/jamapsychiatry.2023.0301
496. Sensitivity of arid/humid patterns in China to future climate change under a high-emissions scenario D. Ma et al. https://doi.org/10.1007/s11442-019-1582-5
497. Warming winters threaten peripheral Arctic charr populations of Europe S. Kelly et al. https://doi.org/10.1007/s10584-020-02887-z
498. Impacts of 1.5°C and 2.0°C Global Warming on Runoff of Three Inland Rivers in the Hexi Corridor, Northwest China Y. Wang et al. https://doi.org/10.1007/s13351-020-9152-4
499. Simulating Runoff Formation in Mountain Crimea Rivers under Current and Projected Climate Conditions A. Kalugin et al. https://doi.org/10.1134/S0097807824701173
500. Association of ambient temperatures with suicide attempts and violence with the future projections under climate change scenarios: a nationwide time-stratified case-crossover study in South Korea J. Park et al. https://doi.org/10.1186/s12889-025-21660-4
501. What can we learn from the projections of changes of flow patterns? Results from Polish case studies M. Piniewski et al. https://doi.org/10.1007/s11600-017-0061-6
502. Two Types of Physical Inconsistency to Avoid with Univariate Quantile Mapping: A Case Study over North America Concerning Relative Humidity and Its Parent Variables P. Grenier https://doi.org/10.1175/JAMC-D-17-0177.1
503. Effects of univariate and multivariate statistical downscaling methods on climatic and hydrologic indicators for Alberta, Canada H. Eum et al. https://doi.org/10.1016/j.jhydrol.2020.125065
504. Evaluation of Two Bias-Correction Methods for Gridded Climate Scenarios over Japan N. Ishizaki et al. https://doi.org/10.2151/sola.2020-014
505. Global hotspots for soil nature conservation C. Guerra et al. https://doi.org/10.1038/s41586-022-05292-x
506. Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model M. Switanek et al. https://doi.org/10.1002/joc.7581
507. Diverging trends in large floods across Europe in a warming climate B. Fang et al. https://doi.org/10.1038/s43247-025-02734-y
508. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison C. Rosenzweig et al. https://doi.org/10.1073/pnas.1222463110
509. Spatial and temporal patterns of drought hazard for China under different RCP scenarios in the 21st century Y. Liu et al. https://doi.org/10.1016/j.ijdrr.2020.101948
510. Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al. https://doi.org/10.1029/2019EF001198
511. Is the sponge city construction sufficiently adaptable for the future stormwater management under climate change? X. Hou et al. https://doi.org/10.1016/j.jhydrol.2020.125055
512. Projections of temperature-related excess mortality under climate change scenarios A. Gasparrini et al. https://doi.org/10.1016/S2542-5196(17)30156-0
513. Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes P. Paredes et al. https://doi.org/10.1016/j.agwat.2018.08.003
514. Integrating groundwater irrigation into hydrological simulation of India: Case of improving model representation of anthropogenic water use impact using GRACE H. Xie et al. https://doi.org/10.1016/j.ejrh.2020.100681
515. Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios K. Wiebe et al. https://doi.org/10.1088/1748-9326/10/8/085010
516. Future projections of glacier mass change in High Mountain Asia using GRACE and climatemodel data J. Dharpure et al. https://doi.org/10.1038/s41598-026-39404-8
517. How does bias correction impact simulated drought characteristics by Regional Climate Models? P. Nguyen-Ngoc-Bich et al. https://doi.org/10.1007/s10584-025-03901-y
518. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes? A. Cannon et al. https://doi.org/10.1175/JCLI-D-14-00754.1
519. A global analysis of heat-related labour productivity losses under climate change—implications for Germany’s foreign trade N. Knittel et al. https://doi.org/10.1007/s10584-020-02661-1
520. Decreases in global beer supply due to extreme drought and heat W. Xie et al. https://doi.org/10.1038/s41477-018-0263-1
521. A model of water and sediment balance as determinants of relative sea level rise in contemporary and future deltas Z. Tessler et al. https://doi.org/10.1016/j.geomorph.2017.09.040
522. Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming Q. Sun et al. https://doi.org/10.1016/j.envint.2019.04.025
523. A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. https://doi.org/10.5194/esd-8-889-2017
524. Heat stress risk in European dairy cattle husbandry under different climate change scenarios – uncertainties and potential impacts S. Hempel et al. https://doi.org/10.5194/esd-10-859-2019
525. A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector M. Golub et al. https://doi.org/10.5194/gmd-15-4597-2022
526. Desempenho dos dados de material particulado fino sobre a qualidade do ar em estudo epidemiológico em Salvador, Brasil L. Jacobson et al. https://doi.org/10.1590/1980-549720240068.2
527. Impacts of climate change on watershed systems and potential adaptation through BMPs in a drinking water source area J. Qiu et al. https://doi.org/10.1016/j.jhydrol.2019.03.074
528. Water shortage risks for China’s coal power plants under climate change X. Liao et al. https://doi.org/10.1088/1748-9326/abba52
529. A Global Multiscale SPEI Dataset under an Ensemble Approach M. Santini et al. https://doi.org/10.3390/data8020036
530. The Use and Abuse of Climate Scenarios in Agriculture J. Kim & J. Yun https://doi.org/10.5532/KJAFM.2016.18.3.170
531. Evaluation of the trophic status in a Mediterranean reservoir under climate change: An integrated modelling approach C. Almeida et al. https://doi.org/10.2166/wcc.2020.247
532. Estimation of economic losses from tropical cyclones in China at 1.5 °C and 2.0 °C warming using the regional climate model COSMO‐CLM S. Wen et al. https://doi.org/10.1002/joc.5838
533. Nocturnal warming and emergency department admissions: a nationwide association and projection study in Singapore B. Xu et al. https://doi.org/10.1186/s12873-026-01552-5
534. Cooling access and energy requirements for adaptation to heat stress in megacities A. Mastrucci et al. https://doi.org/10.1007/s11027-022-10032-7
535. Climate Change Effects on Probable Maximum Precipitation (PMP) of Mesoscale Convective Systems: Model-based Estimation and Large Ensemble-based Frequency Analysis Y. Hiraga et al. https://doi.org/10.1016/j.jhydrol.2025.133724
536. From climate change to design change via the ΔEPW. A toolkit for adaptive urban planning, architecture, and vegetation E. Naboni & M. Turrini https://doi.org/10.1016/j.buildenv.2026.114724
537. Future projections of temperature-related excess out-of-hospital cardiac arrest under climate change scenarios in Japan D. Onozuka et al. https://doi.org/10.1016/j.scitotenv.2019.05.196
538. Global investigation of impacts of PET methods on simulating crop-water relations for maize W. Liu et al. https://doi.org/10.1016/j.agrformet.2016.02.017
539. Comparing the Performance of CMCC-BioClimInd and WorldClim Datasets in Predicting Global Invasive Plant Distributions F. Zhang et al. https://doi.org/10.3390/biology12050652
540. Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment A. Koutroulis et al. https://doi.org/10.3390/w10101331
541. Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China M. Touseef et al. https://doi.org/10.1155/2020/6852148
542. Limited potential of irrigation to prevent potato yield losses in Germany under climate change S. Egerer et al. https://doi.org/10.1016/j.agsy.2023.103633
543. Projection of surface water resources in the context of climate change in typical regions of China Z. Yuan et al. https://doi.org/10.1080/02626667.2016.1222531
544. Global change scenarios in coastal river deltas and their sustainable development implications M. Scown et al. https://doi.org/10.1016/j.gloenvcha.2023.102736
545. Projections of extreme rainfall in South Africa using CMIP6 ISIMIP models T. Mohomi et al. https://doi.org/10.1007/s00382-026-08079-2
546. Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling G. Souza da Silva & M. Alcoforado de Moraes https://doi.org/10.3390/hydrology8010042
547. A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C S. Gosling et al. https://doi.org/10.1007/s10584-016-1773-3
548. Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0) S. Lange https://doi.org/10.5194/gmd-12-3055-2019
549. Rapid assessment of climate risks for irrigated agriculture in two river basins in the Aral Sea Basin A. Lobanova et al. https://doi.org/10.1016/j.agwat.2020.106381
550. Global projections of drought hazard in a warming climate: a prime for disaster risk management H. Carrão et al. https://doi.org/10.1007/s00382-017-3740-8
551. Modelling the impact of climate and land cover change on hydrology and water quality in a forest watershed in the Basque Country (Northern Spain) M. Peraza-Castro et al. https://doi.org/10.1016/j.ecoleng.2018.07.016
552. A probabilistic method for streamflow projection and associated uncertainty analysis in a data sparse alpine region W. Ren et al. https://doi.org/10.1016/j.gloplacha.2018.03.011
553. Impacts of Climate Change on the Precipitation and Streamflow Regimes in Equatorial Regions: Guayas River Basin M. Ilbay-Yupa et al. https://doi.org/10.3390/w13213138
554. A systematic review of climate change science relevant to Australian design flood estimation C. Wasko et al. https://doi.org/10.5194/hess-28-1251-2024
555. A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations C. Kusumastuti et al. https://doi.org/10.1029/2021GL092953
556. Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain H. Erlandsen et al. https://doi.org/10.5194/essd-11-797-2019
557. Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins T. Vetter et al. https://doi.org/10.1007/s10584-016-1794-y
558. Past and future changes in regional crop water requirements in Northwest China X. Song et al. https://doi.org/10.1007/s00704-018-2739-3
559. Projection of Droughts as Multivariate Phenomenon in the Rhine River A. Chamorro et al. https://doi.org/10.3390/w12082288
560. Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador) P. Blanco-Gómez et al. https://doi.org/10.3390/w11112360
561. Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. https://doi.org/10.1016/j.wace.2022.100484
562. Correction of Mean and Extreme Temperature Simulation over South Korea Using a Trend-preserving Bias Correction Method H. Jung & M. Suh https://doi.org/10.14191/Atmos.2015.25.2.205
563. An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. https://doi.org/10.1002/met.2065
564. Climate change impacts on water sustainability of South African crop production S. Bonetti et al. https://doi.org/10.1088/1748-9326/ac80cf
565. A novel approach for exploring climatic factors limiting current pest distributions: A case study of Bemisia tabaci in north-west Europe and assessment of potential future establishment in the United Kingdom under climate change C. Bradshaw et al. https://doi.org/10.1371/journal.pone.0221057
566. Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure A. Cannon https://doi.org/10.1175/JCLI-D-15-0679.1
567. Simulating precipitation in the Northeast United States using a climate‐informed K‐nearest neighbour algorithm S. Armal et al. https://doi.org/10.1002/hyp.13853
568. Modelling climate change impacts on nutrients and primary production in coastal waters M. Pesce et al. https://doi.org/10.1016/j.scitotenv.2018.02.131
569. Statistical emulators of maize, rice, soybean and wheat yields from global gridded crop models É. Blanc https://doi.org/10.1016/j.agrformet.2016.12.022
570. Response of Natural Gas Consumption to Temperature and Projection under SSP Scenarios during Winter in Beijing J. Min et al. https://doi.org/10.3390/atmos13081178
571. Projecting meteorological drought in Northern Malawi using SPEI and bias-corrected CMIP6 models I. Tchuwa & J. Patel https://doi.org/10.1007/s44292-025-00059-1
572. Historical Trends in Mean and Extreme Runoff and Streamflow Based on Observations and Climate Models B. Asadieh et al. https://doi.org/10.3390/w8050189
573. Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions R. Maity et al. https://doi.org/10.1175/JHM-D-18-0126.1
574. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. https://doi.org/10.1002/2015JD023890
575. Evaluating the Present and Future Heat Stress Conditions in the Grand Duchy of Luxembourg J. Junk et al. https://doi.org/10.3390/atmos15010112
576. Mortality burden trends attributed to compound heatwave–ozone pollution events in China under global warming Y. Zhang et al. https://doi.org/10.1007/s10584-025-04077-1
577. Performance of Sorghum Varieties under Variable Rainfall in Central Tanzania B. Msongaleli et al. https://doi.org/10.1155/2017/2506946
578. Climate shifts within major agricultural seasons for +1.5 and +2.0 °C worlds: HAPPI projections and AgMIP modeling scenarios A. Ruane et al. https://doi.org/10.1016/j.agrformet.2018.05.013
579. Non-monotonic changes in Asian Water Towers’ streamflow at increasing warming levels T. Cui et al. https://doi.org/10.1038/s41467-023-36804-6
580. Global urban exposure projections to extreme heatwaves P. Marcotullio et al. https://doi.org/10.3389/fbuil.2022.947496
581. Estimation of Economic Damage Caused by Change in Heat Stress Mortality under Anthropogenic Climate Change K. TAKAHASHI et al. https://doi.org/10.2208/jscejer.74.I_53
582. A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions C. Schürz et al. https://doi.org/10.5194/hess-23-1211-2019
583. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk https://doi.org/10.1038/s41612-023-00496-y
584. Projection of temperature-related severe injuries under climate change: a nationwide study of South Korea J. Oh et al. https://doi.org/10.1186/s12889-025-24844-0
585. Impact of bias adjustment strategy on ensemble projections of hydrological extremes P. Astagneau et al. https://doi.org/10.5194/hess-29-5695-2025
586. Using the Google Earth Engine to estimate a 10 m resolution monthly inventory of soil fugitive dust emissions in Beijing, China A. Liu et al. https://doi.org/10.1016/j.scitotenv.2020.139174
587. Impact of climate change on the streamflow in northern Patagonia J. Rivera et al. https://doi.org/10.2166/wcc.2024.492
588. Glacial Change and Its Hydrological Response in Three Inland River Basins in the Qilian Mountains, Western China G. Liu et al. https://doi.org/10.3390/w13162213
589. Power-generation system vulnerability and adaptation to changes in climate and water resources M. van Vliet et al. https://doi.org/10.1038/nclimate2903
590. The effect of bias correction and climate model resolution on wheat simulations forced with a regional climate model ensemble I. Macadam et al. https://doi.org/10.1002/joc.4653
591. Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change D. Santillán et al. https://doi.org/10.1016/j.scitotenv.2018.12.079
592. A novel bias correction methodology for climate impact simulations S. Sippel et al. https://doi.org/10.5194/esd-7-71-2016
593. Feasibility of enhancing carbon sequestration and stock capacity in temperate and boreal European forests via changes to management regimes D. Dalmonech et al. https://doi.org/10.1016/j.agrformet.2022.109203
594. Assessing the skills of inter-sectoral impact model intercomparison project climate models for precipitation simulation in the Gongola Basin of Nigeria A. Salaudeen et al. https://doi.org/10.1016/j.sciaf.2021.e00921
595. Using precipitation sensitivity to temperature to adjust projected global runoff Y. Chai et al. https://doi.org/10.1088/1748-9326/ac3795
596. Development and Publication of the Global Water Resources Model H08 N. HANASAKI https://doi.org/10.3178/jjshwr.26.295
597. Climate warming outweighs vegetation greening in intensifying flash droughts over China M. Zhang et al. https://doi.org/10.1088/1748-9326/ac69fb
598. Intensity-area-duration-based drought analysis under 1.5°C–4.0 °C warming using CMIP6 over a climate hotspot in South Asia J. Huang et al. https://doi.org/10.1016/j.jclepro.2022.131106
599. Climate change impact on the ecological status of rivers: The case of Albaida Valley (SE Spain) H. Vagheei et al. https://doi.org/10.1016/j.scitotenv.2023.164645
600. Projections of aridity and its regional variability over China in the mid‐21st century Y. Yin et al. https://doi.org/10.1002/joc.4295
601. Changes in flood-associated rainfall losses under climate change M. Ho et al. https://doi.org/10.1016/j.jhydrol.2023.129950
602. Changes in crop yields and their variability at different levels of global warming S. Ostberg et al. https://doi.org/10.5194/esd-9-479-2018
603. Projecting future risk of dengue related to hydrometeorological conditions in mainland China under climate change scenarios: a modelling study C. Li et al. https://doi.org/10.1016/S2542-5196(23)00051-7
604. Climate and traits drive bark decomposition patterns at global scale C. Chang et al. https://doi.org/10.1038/s41467-025-68249-4
605. Climate change impacts on plant pathogens, food security and paths forward B. Singh et al. https://doi.org/10.1038/s41579-023-00900-7
606. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate G. Leng et al. https://doi.org/10.1002/2015MS000437
607. Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch A. Casanueva et al. https://doi.org/10.1002/asl.978
608. The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier https://doi.org/10.1002/joc.7878
609. Selection of CMIP5 GCM Ensemble for the Projection of Spatio-Temporal Changes in Precipitation and Temperature over the Niger Delta, Nigeria I. Hassan et al. https://doi.org/10.3390/w12020385
610. The Effect of Nitrogen Fertilization on Tree Growth, Soil Organic Carbon and Nitrogen Leaching—A Modeling Study in a Steep Nitrogen Deposition Gradient in Sweden K. Lucander et al. https://doi.org/10.3390/f12030298
611. Projecting climate and socioeconomic contributions to global flood-induced displacements using a data-driven approach L. Del Rio Amador et al. https://doi.org/10.1007/s11069-025-07457-z
612. Assessing possible changes in Selenga R. water regime in the XXI century based on a runoff formation model V. Moreido & A. Kalugin https://doi.org/10.1134/S0097807817030149
613. Distributional Impacts of Weather and Climate in Rural India B. Sedova et al. https://doi.org/10.1007/s41885-019-00051-1
614. On the use of climate models for estimating the non-stationary characteristic values of climatic actions in civil engineering practice L. Abrahamczyk & A. Uzair https://doi.org/10.3389/fbuil.2023.1108328
615. Divergent responses of thermal growing degree‐days and season to projected warming over China H. Deng et al. https://doi.org/10.1002/joc.5766
616. Assessment of climate change impacts for two tributary basins of the Irtysh River in Kazakhstan A. Bolatova et al. https://doi.org/10.3354/cr01726
617. Increasing risks of apple tree frost damage under climate change P. Pfleiderer et al. https://doi.org/10.1007/s10584-019-02570-y
618. Model-based climate change adaptational potential and productivity of some cowpea genotypes and its sensitivity to bias adjustment G. Adusei et al. https://doi.org/10.3389/fagro.2023.1144219
619. Large spread in the representation of compound long-duration dry and hot spells over Europe in CMIP5 C. Manning et al. https://doi.org/10.5194/wcd-4-309-2023
620. STUDY ON IMPACT OF THE WATER RESOURCES MANAGEMENT ON PROJECTED FUTURE CHANGE OF DROUGHT Y. SATOH et al. https://doi.org/10.2208/jscejhe.71.I_391
621. Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. https://doi.org/10.5194/hess-24-1511-2020
622. Multi-Model Approach to Quantify Future Sediment and Pollutant Loads and Ecosystem Change in Selenga River System S. Chalov et al. https://doi.org/10.1134/S0097807818060210
623. Interactive climate factors restrict future increases in spring productivity of temperate and boreal trees C. Zohner et al. https://doi.org/10.1111/gcb.15098
624. Farklı yanlılık düzeltme yöntemlerinin istatistiksel ölçeğe indirgenmiş yağış projeksiyonlarına uygulanması U. KIRDEMİR & U. OKKAN https://doi.org/10.25092/baunfbed.654535
625. Web-based access, aggregation, and visualization of future climate projections with emphasis on agricultural assessments N. Villoria et al. https://doi.org/10.1016/j.softx.2017.11.004
626. Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. https://doi.org/10.1029/2018MS001275
627. Future temperature-related mortality in Latin American cities under climate change and population scenarios M. Bakhtsiyarava et al. https://doi.org/10.1016/j.envint.2025.109694
628. How much energy will buildings consume in 2100? A global perspective within a scenario framework A. Levesque et al. https://doi.org/10.1016/j.energy.2018.01.139
629. The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework L. Warszawski et al. https://doi.org/10.1073/pnas.1312330110
630. Potential Predictability of Malaria in Africa Using ECMWF Monthly and Seasonal Climate Forecasts A. Tompkins & F. Di Giuseppe https://doi.org/10.1175/JAMC-D-14-0156.1
631. Assessments of future climate extremes in China by using high-resolution PRECIS 2.0 simulations C. Meng et al. https://doi.org/10.1007/s00704-021-03618-9
632. Elevation-driven biases in seasonal weather forecasts: Insights from the Alpine region S. Uttarwar et al. https://doi.org/10.1016/j.pce.2025.103957
633. Socioeconomic risk of droughts under a 2.0°C warmer climate: Assessment of population and GDP exposures to droughts in China Y. Liu & J. Chen https://doi.org/10.1002/joc.6691
634. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP J. Davie et al. https://doi.org/10.5194/esd-4-359-2013
635. ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) F. Spuler et al. https://doi.org/10.5194/gmd-17-1249-2024
636. Developing climate-smart agricultural systems in the North China Plain Y. Xin & F. Tao https://doi.org/10.1016/j.agee.2019.106791
637. Assessment of the IMERG Early-Run Precipitation Estimates over South American Country of Chile L. da Silva et al. https://doi.org/10.3390/rs15030573
638. Are we using the right fuel to drive hydrological models? A climate impact study in the Upper Blue Nile S. Liersch et al. https://doi.org/10.5194/hess-22-2163-2018
639. Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize H. Guo et al. https://doi.org/10.3390/su8080813
640. Future temperature-related mortality considering physiological and socioeconomic adaptation: a modelling framework M. Rai et al. https://doi.org/10.1016/S2542-5196(22)00195-4
641. Hydrological impacts in La Plata basin under 1.5, 2 and 3 °C global warming above the pre‐industrial level N. Montroull et al. https://doi.org/10.1002/joc.5505
642. Magnitude and robustness associated with the climate change impacts on global hydrological variables for transient and stabilized climate states B. Julien et al. https://doi.org/10.1088/1748-9326/aac179
643. How Should Diverse Stakeholder Interests Shape Evaluations of Complex Water Resources Systems Robustness When Confronting Deeply Uncertain Changes? S. Sunkara et al. https://doi.org/10.1029/2022EF003469
644. Crystal balls into the future: are global circulation and water balance models ready? B. Fekete et al. https://doi.org/10.5194/piahs-374-41-2016
645. Adaptation required to preserve future high-end river flood risk at present levels S. Willner et al. https://doi.org/10.1126/sciadv.aao1914
646. A STUDY ON THE ADAPTATION MEASURES FOR OUTDOOR WORKTIME REDUCTION DUE TO HEAT STRESSES CAUSED BY CLIMATE CHANGE J. TAKAKURA et al. https://doi.org/10.2208/jscejer.73.II_283
647. Modeling the effect of adaptation to future climate change on spring phenological trend of European beech (Fagus sylvatica L.) H. Wang et al. https://doi.org/10.1016/j.scitotenv.2022.157540
648. Climate shocks, food price stability and international trade: evidence from 76 maize markets in 27 net-importing countries B. Chen & N. Villoria https://doi.org/10.1088/1748-9326/aaf07f
649. North–south polarization of European electricity consumption under future warming L. Wenz et al. https://doi.org/10.1073/pnas.1704339114
650. Climate change has already made the United States poorer D. Lemoine https://doi.org/10.1073/pnas.2504376122
651. An Integrated Modelling Approach to Study Future Water Demand Vulnerability in the Montargil Reservoir Basin, Portugal C. Almeida et al. https://doi.org/10.3390/su11010206
652. Future river exports of nutrients, plastics, and chemicals worldwide under climate-driven hydrological changes M. Bak et al. https://doi.org/10.1088/1748-9326/adf860
653. Impact of Climate Change on Reference Evapotranspiration: Bias Assessment and Climate Models in a Semi-Arid Agricultural Zone O. Galván-Cano et al. https://doi.org/10.3390/w17213040
654. Costs from labor losses due to extreme heat in the USA attributable to climate change Y. Zhang & D. Shindell https://doi.org/10.1007/s10584-021-03014-2
655. Impacts of climate change on reproductive phenology in tropical rainforests of Southeast Asia S. Numata et al. https://doi.org/10.1038/s42003-022-03245-8
656. Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate F. Tootoonchi et al. https://doi.org/10.1016/j.scitotenv.2022.158615
657. Increasing Concurrent Drought Probability in Global Main Crop Production Countries W. Qi et al. https://doi.org/10.1029/2021GL097060
658. Comparing impacts of climate change on streamflow in four large African river basins V. Aich et al. https://doi.org/10.5194/hess-18-1305-2014
659. Quantifying excess deaths related to heatwaves under climate change scenarios: A multicountry time series modelling study Y. Guo et al. https://doi.org/10.1371/journal.pmed.1002629
660. Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble H. Eum & A. Cannon https://doi.org/10.1002/joc.4924
661. Freshwater vulnerability under high end climate change. A pan-European assessment A. Koutroulis et al. https://doi.org/10.1016/j.scitotenv.2017.09.074
662. Attribution of runoff change and evaluation of water-balance closure based on a Budyko combined method of zonation, connectivity, and closure: a case study of the Xihan River basin in Northwest China D. Sun et al. https://doi.org/10.1016/j.ecolind.2026.114623
663. Climate change hotpots and their implications on rain-fed cropping system in a tropical environment L. Lugoi et al. https://doi.org/10.1016/j.apgeog.2023.102953
664. Human and climate impacts on the 21st century hydrological drought N. Wanders & Y. Wada https://doi.org/10.1016/j.jhydrol.2014.10.047
665. Projecting future precipitation and temperature at sites with diverse climate through multiple statistical downscaling schemes P. Vallam & X. Qin https://doi.org/10.1007/s00704-017-2299-y
666. Impact of future climate trend and fluctuation on winter wheat yield in the North China Plain and adaptation strategies J. Hu et al. https://doi.org/10.1038/s41598-025-06370-6
667. Impact of future cold and heat on mortality by two exposure measurements under different scenarios: Impact of global warming in the west of Iran R. Rezaee et al. https://doi.org/10.1007/s11869-024-01625-z
668. Global wheat planting suitability under the 1.5°C and 2°C warming targets X. Guo et al. https://doi.org/10.3389/fpls.2024.1410388
669. Multi-model ensemble projections of European river floods and high flows at 1.5, 2, and 3 degrees global warming S. Thober et al. https://doi.org/10.1088/1748-9326/aa9e35
670. Future Projection of Extreme Precipitation Indices over the Indochina Peninsula and South China in CMIP6 Models B. Tang et al. https://doi.org/10.1175/JCLI-D-20-0946.1
671. Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels P. Ji et al. https://doi.org/10.5194/hess-24-5439-2020
672. Conservation tillage mitigates drought-induced soybean yield losses in the US Corn Belt B. Chen et al. https://doi.org/10.1093/qopen/qoab007
673. Impact assessment of climate change on rice yields using the ORYZA model in the Sichuan Basin, China C. Xu et al. https://doi.org/10.1002/joc.5473
674. Assessing Forest Ecosystems across the Vertical Edge of the Mid-Latitude Ecotone Using the BioGeoChemistry Management Model (BGC-MAN) C. Song et al. https://doi.org/10.3390/f10060523
675. Increasing meridional disparity of population exposure to heat stress X. Xu et al. https://doi.org/10.1016/j.geosus.2025.100391
676. Observed and projected shifts in hot extremes' season in the Eastern Mediterranean D. Founda et al. https://doi.org/10.1016/j.gloplacha.2019.02.012
677. Soil erosion has mixed effects on the environmental impacts of wheat production in a large, semi-arid Mediterranean agricultural basin C. Ruau et al. https://doi.org/10.1007/s13593-023-00942-4
678. Climate change mitigation potentials of biofuels produced from perennial crops and natural regrowth on abandoned and degraded cropland in Nordic countries J. Næss et al. https://doi.org/10.1016/j.jenvman.2022.116474
679. Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China L. Xu & A. Wang https://doi.org/10.1029/2019EA000995
680. Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity A. Hartmann et al. https://doi.org/10.1073/pnas.1614941114
681. Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al. https://doi.org/10.5194/esd-9-153-2018
682. Projections of excess cardiovascular mortality related to temperature under different climate change scenarios and regionalized climate model simulations in Brazilian cities I. Silveira et al. https://doi.org/10.1016/j.envres.2021.110995
683. Regression-based distribution mapping for bias correction of climate model outputs using linear quantile regression C. Passow & R. Donner https://doi.org/10.1007/s00477-019-01750-7
684. Robustness of BSISO and air-sea interactions in the CMIP (Phase-6) models over the North Indian Ocean G. Konda & N. Vissa https://doi.org/10.1016/j.dynatmoce.2022.101316
685. Trends and variability in snowmelt in China under climate change Y. Yang et al. https://doi.org/10.5194/hess-26-305-2022
686. Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al. https://doi.org/10.1016/j.jhydrol.2023.129199
687. Global drivers of future river flood risk H. Winsemius et al. https://doi.org/10.1038/nclimate2893
688. Can Bias Correction of Regional Climate Model Lateral Boundary Conditions Improve Low-Frequency Rainfall Variability? E. Rocheta et al. https://doi.org/10.1175/JCLI-D-16-0654.1
689. An exploratory scenario analysis of strategic pathways towards a sustainable electricity system of the drought-stricken São Francisco River Basin C. Souza Júnior et al. https://doi.org/10.1007/s12667-019-00343-1
690. Climate change impact on soil salt accumulation in Khon Kaen, Northeast Thailand K. Yoshida et al. https://doi.org/10.3178/hrl.15.92
691. Climate change impacts on meteorological, agricultural and hydrological droughts in China G. Leng et al. https://doi.org/10.1016/j.gloplacha.2015.01.003
692. Multi-model climate impact assessment and intercomparison for three large-scale river basins on three continents T. Vetter et al. https://doi.org/10.5194/esd-6-17-2015
693. Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset S. Lange https://doi.org/10.5194/esd-9-627-2018
694. Statistical emulators of irrigated crop yields and irrigation water requirements É. Blanc https://doi.org/10.1016/j.agrformet.2019.107828
695. Continental-scale bias-corrected climate and hydrological projections for Australia J. Peter et al. https://doi.org/10.5194/gmd-17-2755-2024
696. Assessment of the impact of climate change on flow regime at multiple temporal scales and potential ecological implications in an alpine river T. Cui et al. https://doi.org/10.1007/s00477-017-1475-z
697. A review of the effects of climate change on riverine flooding in subtropical and tropical regions R. Eccles et al. https://doi.org/10.2166/wcc.2019.175
698. Climate Change Attribution in the Lena and Selenga River Runoff: An Evaluation Based on the Earth System and Regional Hydrological Models A. Kalugin https://doi.org/10.3390/w14010118
699. Exploring river nitrogen and phosphorus loading and export to global coastal waters in the Shared Socio-economic pathways A. Beusen et al. https://doi.org/10.1016/j.gloenvcha.2021.102426
700. The impact of climate change on Brazil's agriculture M. Zilli et al. https://doi.org/10.1016/j.scitotenv.2020.139384
701. Robust changes in tropical rainy season length at 1.5 °C and 2 °C F. Saeed et al. https://doi.org/10.1088/1748-9326/aab797
702. Climate change impacts on rice productivity in the Mekong River Delta C. Kontgis et al. https://doi.org/10.1016/j.apgeog.2018.12.004
703. Climate projections of a multivariate heat stress index: the role of downscaling and bias correction A. Casanueva et al. https://doi.org/10.5194/gmd-12-3419-2019
704. Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change M. Morichetti et al. https://doi.org/10.3390/f15071124
705. The evaluation of reanalysis and analysis products of solar radiation for Sindh province, Pakistan Z. Tahir et al. https://doi.org/10.1016/j.renene.2019.04.107
706. Bias Correction of Satellite-Derived Climatic Datasets for Water Balance Estimation G. Rajesh et al. https://doi.org/10.3390/w17172626
707. Multi‐model and multi‐scenario assessments of Asian water futures: The Water Futures and Solutions (WFaS) initiative Y. Satoh et al. https://doi.org/10.1002/2016EF000503
708. Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy) A. Pignalosa et al. https://doi.org/10.1016/j.agwat.2022.107870
709. The Impact of Bias Correction and Model Selection on Passing Temperature Thresholds L. Gohar et al. https://doi.org/10.1002/2017JD026797
710. Projecting the overall heat-related health burden and associated economic costs in a climate change context in Quebec, Canada J. Boudreault et al. https://doi.org/10.1016/j.scitotenv.2024.178022
711. Increase in grain production potential of China under climate change Z. Liang et al. https://doi.org/10.1093/pnasnexus/pgad057
712. Projections of Heat-Related Mortality in Chinese Cities: The Roles of Climate Change, Urbanization, Socioeconomic Adaptation, and Landscape-Level Strategies X. Liu et al. https://doi.org/10.1289/EHP15010
713. Multi-model ensemble of CMIP6 projections for future extreme climate changes in wheat production regions of China Z. Shi et al. https://doi.org/10.1007/s00382-024-07151-z
714. Temperature-related chest pain presentations and future projections with climate change L. Dawson et al. https://doi.org/10.1016/j.scitotenv.2022.157716
715. Future projection of greenhouse gas emissions due to permafrost degradation using a simple numerical scheme with a global land surface model T. Yokohata et al. https://doi.org/10.1186/s40645-020-00366-8
716. Assessment of Climate Change Impacts on Renewable Energy Resources in Western North America H. Lee et al. https://doi.org/10.3390/en18133467
717. A global framework for future costs and benefits of river-flood protection in urban areas P. Ward et al. https://doi.org/10.1038/nclimate3350
718. Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level C. Donnelly et al. https://doi.org/10.1007/s10584-017-1971-7
719. A global high-resolution and bias-corrected dataset of CMIP6 projected heat stress metrics Q. Kong & M. Huber https://doi.org/10.1038/s41597-025-04527-6
720. Comparison of two model calibration approaches and their influence on future projections under climate change in the Upper Indus Basin M. Ismail et al. https://doi.org/10.1007/s10584-020-02902-3
721. Future projections of Malaysia daily precipitation characteristics using bias correction technique S. Ngai et al. https://doi.org/10.1016/j.atmosres.2020.104926
722. Attributing human mortality during extreme heat waves to anthropogenic climate change D. Mitchell et al. https://doi.org/10.1088/1748-9326/11/7/074006
723. The impact of climate conditions on economic production. Evidence from a global panel of regions M. Kalkuhl & L. Wenz https://doi.org/10.1016/j.jeem.2020.102360
724. Impact of Climate Change on the Phenology of Winter Oilseed Rape (Brassica napus L.) J. Junk et al. https://doi.org/10.3390/agriculture14071049
725. Probabilistic downscaling of EURO-CORDEX precipitation data for the assessment of future areal precipitation extremes for hourly to daily durations A. El Hachem et al. https://doi.org/10.5194/hess-29-1335-2025
726. Quantifying uncertainties in soil carbon responses to changes in global mean temperature and precipitation K. Nishina et al. https://doi.org/10.5194/esd-5-197-2014
727. Bias Correcting Climate Change Simulations - a Critical Review D. Maraun https://doi.org/10.1007/s40641-016-0050-x
728. Future global socioeconomic risk to droughts based on estimates of hazard, exposure, and vulnerability in a changing climate Y. Liu & J. Chen https://doi.org/10.1016/j.scitotenv.2020.142159
729. Implications of climate mitigation for future agricultural production C. Müller et al. https://doi.org/10.1088/1748-9326/10/12/125004
730. An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal J. Alvar-Beltrán et al. https://doi.org/10.1016/j.envdev.2023.100882
731. Quantifying the extremity of 2022 Chinese Yangtze River Valley daily hot extreme: fixed or moving baseline matters L. Li et al. https://doi.org/10.1088/1748-9326/ad4e49
732. Divergent and Changing Importance of Glaciers and Snow as Natural Water Reservoirs in the Eastern and Southern Tibetan Plateau W. Qi et al. https://doi.org/10.1029/2021JD035888
733. Comparing impacts of climate change and mitigation on global agriculture by 2050 H. van Meijl et al. https://doi.org/10.1088/1748-9326/aabdc4
734. Cascading climate effects in deep reservoirs: Full assessment of physical and biogeochemical dynamics under ensemble climate projections and ways towards adaptation C. Mi et al. https://doi.org/10.1007/s13280-023-01950-0
735. Trend and inter-annual variability in regional climate models – Validation and hydrological implications in southeast Australia J. Teng et al. https://doi.org/10.1016/j.jhydrol.2024.131817
736. Uncertainty introduced by flood frequency analysis in projections for changes in flood magnitudes under a future climate in Norway D. Lawrence https://doi.org/10.1016/j.ejrh.2020.100675
737. Changes in wheat traits under future climate change and their contributions to yield changes in conventional vs. conservational tillage systems Y. Li et al. https://doi.org/10.1016/j.scitotenv.2022.152947
738. Emergence of significant soil moisture depletion in the near future J. Joo et al. https://doi.org/10.1088/1748-9326/abc6d2
739. Uneven distribution of multi-pollutant hotspots worldwide: river exports to seas and their global change drivers in the future I. Micella et al. https://doi.org/10.1088/3033-4942/ae4ad1
740. Impact of solar geoengineering on temperatures over the Indonesian Maritime Continent H. Kuswanto et al. https://doi.org/10.1002/joc.7391
741. Flood risk assessment methodology for planning under climate change scenarios and the corresponding change in land cover A. Hanif et al. https://doi.org/10.2166/wcc.2019.016
742. Water-suitable reclamation can mitigate the amplified agricultural water stress driven by climate change in arid inland basin M. Zou et al. https://doi.org/10.1016/j.jhydrol.2024.131736
743. Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. https://doi.org/10.1175/JCLI-D-17-0765.1
744. Climate change impacts on Three Gorges Reservoir impoundment and hydropower generation P. Qin et al. https://doi.org/10.1016/j.jhydrol.2019.123922
745. Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes I. Fustos-Toribio et al. https://doi.org/10.5194/nhess-22-2169-2022
746. Projected risks associated with heat stress in the UK Climate Projections (UKCP18) A. Kennedy-Asser et al. https://doi.org/10.1088/1748-9326/ac541a
747. Long-term glacier variations and the response to climate fluctuation in Qilian Mountains, China S. Wang et al. https://doi.org/10.1007/s11442-024-2276-1
748. Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe J. Bedia et al. https://doi.org/10.1016/j.cliser.2017.04.001
749. Quantifying the potential for reservoirs to secure future surface water yields in the world’s largest river basins L. Liu et al. https://doi.org/10.1088/1748-9326/aab2b5
750. Vulnerability of existing and planned coal-fired power plants in Developing Asia to changes in climate and water resources Y. Wang et al. https://doi.org/10.1039/C9EE02058F
751. Global Change Can Make Coastal Eutrophication Control in China More Difficult M. Wang et al. https://doi.org/10.1029/2019EF001280
752. Projected impacts of climate change on hydropower potential in China X. Liu et al. https://doi.org/10.5194/hess-20-3343-2016
753. Assessing glacier retreat and its impact on water resources in a headwater of Yangtze River based on CMIP6 projections H. Gao et al. https://doi.org/10.1016/j.scitotenv.2020.142774
754. Regional dynamical and statistical downscaling temperature, humidity and wind speed for the Beijing region under stratospheric aerosol injection geoengineering J. Wang et al. https://doi.org/10.5194/esd-13-1625-2022
755. Global agricultural green and blue water consumption under future climate and land use changes Z. Huang et al. https://doi.org/10.1016/j.jhydrol.2019.04.046
756. Impacts of Climate Change and Remote Natural Catastrophes on EU Flood Insurance Markets: An Analysis of Soft and Hard Reinsurance Markets for Flood Coverage M. Tesselaar et al. https://doi.org/10.3390/atmos11020146
757. Investigating the Impact of the Spatiotemporal Bias Correction of Precipitation in CMIP6 Climate Models on Drought Assessments X. Wang et al. https://doi.org/10.3390/rs14236172
758. Integrated Evaluation of Changing Water Resources in an Active Ecotourism Area: The Case of Puerto Princesa City, Palawan, Philippines M. Dela Cruz et al. https://doi.org/10.3390/su13094826
759. Quantifying the impacts of compound extremes on agriculture I. Haqiqi et al. https://doi.org/10.5194/hess-25-551-2021
760. Coastal and river flood risk analyses for guiding economically optimal flood adaptation policies: a country-scale study for Mexico T. Haer et al. https://doi.org/10.1098/rsta.2017.0329
761. Statistically downscaled CMIP6 ocean variables for European waters T. Kristiansen et al. https://doi.org/10.1038/s41598-024-51160-1
762. Projecting heat-related excess mortality under climate change scenarios in China J. Yang et al. https://doi.org/10.1038/s41467-021-21305-1
763. Impact of Stratospheric Aerosol Geoengineering on Extreme Precipitation and Temperature Indices in West Africa Using GLENS Simulations E. Alamou et al. https://doi.org/10.1029/2021JD035855
764. Future changes in seasonal drought in Australia A. Ukkola et al. https://doi.org/10.5194/hess-30-1463-2026
765. Development of CMIP6‐Based Climate Scenarios for Japan Using Statistical Method and Their Applicability to Heat‐Related Impact Studies N. Ishizaki et al. https://doi.org/10.1029/2022EA002451
766. Multi-model approach for statistical downscaling and bias correction of Earth system model outputs for marine ecosystem impact applications R. Oliveros-Ramos et al. https://doi.org/10.1093/icesjms/fsaf073
767. Economic costs of heat-induced reductions in worker productivity due to global warming A. Orlov et al. https://doi.org/10.1016/j.gloenvcha.2020.102087
768. FutureStreams, a global dataset of future streamflow and water temperature J. Bosmans et al. https://doi.org/10.1038/s41597-022-01410-6
769. Assessment of Ecological and Hydro-Geomorphological Alterations under Climate Change Using SWAT and IAHRIS in the Eo River in Northern Spain J. Pérez-Sánchez et al. https://doi.org/10.3390/w12061745
770. Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations C. Folberth et al. https://doi.org/10.1038/ncomms11872
771. Bias correction of temperature and precipitation over China for RCM simulations using the QM and QDM methods Y. Tong et al. https://doi.org/10.1007/s00382-020-05447-4
772. Simulated vs. empirical weather responsiveness of crop yields: US evidence and implications for the agricultural impacts of climate change M. Mistry et al. https://doi.org/10.1088/1748-9326/aa788c
773. The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises N. Watts et al. https://doi.org/10.1016/S0140-6736(20)32290-X
774. Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa B. Ayugi et al. https://doi.org/10.3390/w12030801
775. The development of bias corrected hourly precipitation dataset for AMeDAS stations based on the projections from d4PDF S. WATANABE et al. https://doi.org/10.2208/jscejhe.74.5_I_127
776. Emerging Negative Warming Impacts on Tibetan Crop Yield T. Dorji et al. https://doi.org/10.1016/j.eng.2021.01.012
777. Inter-model comparison of hydrological impacts of climate change on the Upper Blue Nile basin using ensemble of hydrological models and global climate models A. Teklesadik et al. https://doi.org/10.1007/s10584-017-1913-4
778. Projecting changes in flood event runoff coefficients under climate change M. Ho et al. https://doi.org/10.1016/j.jhydrol.2022.128689
779. A framework for the cross-sectoral integration of multi-model impact projections: land use decisions under climate impacts uncertainties K. Frieler et al. https://doi.org/10.5194/esd-6-447-2015
780. Projected Changes in Extreme High Temperature and Heat Stress in China X. Liu et al. https://doi.org/10.1007/s13351-018-7120-z
781. Towards Reducing Climate Change Impact Assessment Process Uncertainty A. Gaur & S. Simonovic https://doi.org/10.1007/s40710-015-0070-x
782. Regional Climate Model Biases, Their Dependence on Synoptic Circulation Biases and the Potential for Bias Adjustment: A Process‐Oriented Evaluation of the Austrian Regional Climate Projections D. Maraun et al. https://doi.org/10.1029/2020JD032824
783. Near-term impacts of climate variability and change on hydrological systems in West and Central Africa M. Sidibe et al. https://doi.org/10.1007/s00382-019-05102-7
784. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment J. Gutiérrez et al. https://doi.org/10.1002/joc.5462
785. Increasing mitigation ambition to meet the Paris Agreement’s temperature goal avoids substantial heat-related mortality in U.S. cities Y. Lo et al. https://doi.org/10.1126/sciadv.aau4373
786. Developing climate change adaptation pathways in the agricultural sector based on robust decision-making approach (case study: Sefidroud Irrigation Network, Iran) M. Mehraban et al. https://doi.org/10.1007/s10661-024-12511-7
787. Overestimation of evapotranspiration across India if not considering the impact of rising atmospheric CO2 S. Surendran et al. https://doi.org/10.3389/frwa.2025.1597728
788. CONSIDERATIONS ON THE USE OF QUANTILE MAPPING BIAS CORRECTION FOR THE IMPACT ASSESSMENT OF CLIMATE CHANGE S. WATANABE et al. https://doi.org/10.2208/jscejhe.73.I_121
789. Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures Z. Huang et al. https://doi.org/10.1016/j.scitotenv.2021.146973
790. The effect of empirical-statistical correction of intensity-dependent model errors on the temperature climate change signal A. Gobiet et al. https://doi.org/10.5194/hess-19-4055-2015
791. Dynamic characteristics and synergistic effects of ecosystem services under climate change scenarios on the Qinghai–Tibet Plateau Y. Luo et al. https://doi.org/10.1038/s41598-022-06350-0
792. The potential global distribution and dynamics of wheat under multiple climate change scenarios Y. Yue et al. https://doi.org/10.1016/j.scitotenv.2019.06.153
793. Climate-Water Adaptation for Future US Electricity Infrastructure A. Miara et al. https://doi.org/10.1021/acs.est.9b03037
794. Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations Q. Zhou et al. https://doi.org/10.5194/hess-22-305-2018
795. Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation H. Tabari https://doi.org/10.1016/j.jhydrol.2020.125932
796. Discrepancies in precipitation changes over the Southwest River Basin of China based on ISIMIP3b Y. Zhang et al. https://doi.org/10.1038/s41598-024-73741-w
797. Global cotton production under climate change – Implications for yield and water consumption Y. Jans et al. https://doi.org/10.5194/hess-25-2027-2021
798. Future trends of rainfall and temperature in a data-scarce Himalayan region based on bias-corrected CMIP6-GCM models R. Prajapati https://doi.org/10.2166/wpt.2026.332
799. Global Phosphorus Losses from Croplands under Future Precipitation Scenarios W. Liu et al. https://doi.org/10.1021/acs.est.0c03978
800. The role of northern peatlands in the global carbon cycle for the 21st century C. Qiu et al. https://doi.org/10.1111/geb.13081
801. Are our lands getting wetter or drier? A perspective from Climate scenario data in Upper Brantas B. Wiwoho et al. https://doi.org/10.1088/1755-1315/1323/1/012022
802. Quantifying recent precipitation change and predicting lake expansion in the Inner Tibetan Plateau K. Yang et al. https://doi.org/10.1007/s10584-017-2127-5
803. Climate change will amplify the inequitable exposure to compound heatwave and ozone pollution J. Ban et al. https://doi.org/10.1016/j.oneear.2022.05.007
804. Daily Temperature and Bacillary Dysentery: Estimated Effects, Attributable Risks, and Future Disease Burden in 316 Chinese Cities Z. Liu et al. https://doi.org/10.1289/EHP5779
805. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE https://doi.org/10.3178/jjshwr.33.243
806. Modelling karst vadose zone hydrology and its relevance for paleoclimate reconstruction A. Hartmann & A. Baker https://doi.org/10.1016/j.earscirev.2017.08.001
807. Risk assessment of soil erosion in Central Asia under global warming X. Dou et al. https://doi.org/10.1016/j.catena.2022.106056
808. Temperature-attributable mortality projections under scenarios of climate change for Oslo, Norway L. Vázquez Fernández et al. https://doi.org/10.1186/s12889-025-25980-3
809. Evaluation of Irrigation Water Resources Availability and Climate Change Impacts—A Case Study of Mwea Irrigation Scheme, Kenya G. Akoko et al. https://doi.org/10.3390/w12092330
810. Challenges of open data in aquatic sciences: issues faced by data users and data providers J. Mesman et al. https://doi.org/10.3389/fenvs.2024.1497105
811. Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models I. Giuntoli et al. https://doi.org/10.5194/esd-6-267-2015
812. Bias correction of maximum temperature forecasts over India during March–May 2017 H. Singh et al. https://doi.org/10.1007/s12040-019-1291-6
813. Assessing climate change impact on flood discharge in South America and the influence of its main drivers J. Brêda et al. https://doi.org/10.1016/j.jhydrol.2023.129284
814. Long-Term Hydropower Generation of Cascade Reservoirs under Future Climate Changes in Jinsha River in Southwest China Y. Feng et al. https://doi.org/10.3390/w10020235
815. Role of Extreme Precipitation and Initial Hydrologic Conditions on Floods in Godavari River Basin, India S. Garg & V. Mishra https://doi.org/10.1029/2019WR025863
816. Future heat stress to reduce people’s purchasing power K. Kuhla et al. https://doi.org/10.1371/journal.pone.0251210
817. Land use and land cover dynamics: Implications for thermal stress and energy demands O. Adeyeri et al. https://doi.org/10.1016/j.rser.2023.113274
818. Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios A. Gädeke et al. https://doi.org/10.1088/1748-9326/ac8ca1
819. Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins S. Huang et al. https://doi.org/10.1007/s10584-020-02872-6
820. Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan S. Ali et al. https://doi.org/10.1016/j.atmosres.2019.02.009
821. Large uncertainty in carbon uptake potential of land‐based climate‐change mitigation efforts A. Krause et al. https://doi.org/10.1111/gcb.14144
822. Contribution of Variable Renewable Energy to increase energy security in Latin America: Complementarity and climate change impacts on wind and solar resources C. Viviescas et al. https://doi.org/10.1016/j.rser.2019.06.039
823. Projections of dengue epidemics attributable to climate change in Peru T. Chang et al. https://doi.org/10.1136/bmjgh-2025-021184
824. Projection of Mortality Burden Attributable to Nonoptimum Temperature with High Spatial Resolution in China P. Yin et al. https://doi.org/10.1021/acs.est.3c09162
825. Integrate Risk From Climate Change in China Under Global Warming of 1.5 and 2.0 °C. S. Wu et al. https://doi.org/10.1029/2019EF001194
826. Next-Generation Drought Forecasting: Hybrid AI Models for Climate Resilience J. Liu et al. https://doi.org/10.3390/rs17203402
827. A multi-model analysis of change in potential yield of major crops in China under climate change Y. Yin et al. https://doi.org/10.5194/esd-6-45-2015
828. A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al. https://doi.org/10.5194/essd-14-5463-2022
829. How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. https://doi.org/10.5194/bg-21-5005-2024
830. Global economic response to river floods S. Willner et al. https://doi.org/10.1038/s41558-018-0173-2
831. Is the future of large shallow lakes blue-green? Comparing the response of a catchment-lake model chain to climate predictions F. Cremona et al. https://doi.org/10.1007/s10584-016-1894-8
832. Water Quantity and Quality under Future Climate and Societal Scenarios: A Basin-Wide Approach Applied to the Sorraia River, Portugal C. Almeida et al. https://doi.org/10.3390/w10091186
833. Impact of climate indicators on continental‐scale potential groundwater recharge in Africa P. Nasta et al. https://doi.org/10.1002/hyp.10869
834. Increasing Risk of Ecological Change to Major Rivers of the World With Global Warming J. Thompson et al. https://doi.org/10.1029/2021EF002048
835. Future temperature-related excess mortality under climate change and population aging scenarios in Canada C. Hebbern et al. https://doi.org/10.17269/s41997-023-00782-5
836. Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations B. Jia et al. https://doi.org/10.1016/j.advwatres.2020.103635
837. Investigation of Uncertainties in Multi-variable Bias Adjustment in Multi-model Ensemble S. Kelkar & K. Dairaku https://doi.org/10.5194/piahs-386-55-2024
838. Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments C. Rosenzweig et al. https://doi.org/10.1098/rsta.2016.0455
839. Decreasing rainfall frequency contributes to earlier leaf onset in northern ecosystems J. Wang et al. https://doi.org/10.1038/s41558-022-01285-w
840. Reference crop evapotranspiration for data-sparse regions using reanalysis products M. Nouri & M. Homaee https://doi.org/10.1016/j.agwat.2021.107319
841. Higher Heat Stress Increases the Negative Impact on Rice Production in South China: A New Perspective on Agricultural Weather Index Insurance W. Cao et al. https://doi.org/10.3390/atmos13111768
842. Multi-Stakeholder Development of a Serious Game to Explore the Water-Energy-Food-Land-Climate Nexus: The SIM4NEXUS Approach J. Sušnik et al. https://doi.org/10.3390/w10020139
843. Stochastic extreme downscaling model for an assessment of changes in rainfall intensity-duration-frequency curves over South Korea using multiple regional climate models B. So et al. https://doi.org/10.1016/j.jhydrol.2017.07.061
844. Quantification of the Heat-Related Risk and Burden of Hospitalizations for Cause-Specific Injuries and Contribution of Human-Induced Climate Change: A Time-Stratified Case-Crossover Study in China L. Zhou et al. https://doi.org/10.1289/EHP14057
845. Modeling the impact of climate change on watershed discharge and sediment yield in the black soil region, northeastern China Z. Li & H. Fang https://doi.org/10.1016/j.geomorph.2017.06.005
846. Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. https://doi.org/10.1016/j.jhydrol.2023.129137
847. Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change C. Lai et al. https://doi.org/10.1016/j.agwat.2021.107273
848. LASAM Model: An Important Tool in the Decision Support System for Policymakers and Farmers I. Pilvere et al. https://doi.org/10.3390/agriculture12050705
849. Habitat suitability of Opuntia ficus-indica (L.) MILL. (CACTACEAE): a comparative temporal evaluation using diverse bio-climatic earth system models and ensemble machine learning approach M. Mathur & P. Mathur https://doi.org/10.1007/s10661-024-12406-7
850. The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. https://doi.org/10.5194/esd-10-31-2019
851. Future Projection of Precipitation Changes in the Júcar and Segura River Basins (Iberian Peninsula) by CMIP5 GCMs Local Downscaling J. Miró et al. https://doi.org/10.3390/atmos12070879
852. Propagation of forcing and model uncertainties on to hydrological drought characteristics in a multi-model century-long experiment in large river basins L. Samaniego et al. https://doi.org/10.1007/s10584-016-1778-y
853. Reproducing complex simulations of economic impacts of climate change with lower-cost emulators J. Takakura et al. https://doi.org/10.5194/gmd-14-3121-2021
854. Simulated and projected climate extremes in the Tarim River Basin using the regional climate model CCLM J. Huang et al. https://doi.org/10.1007/s00477-015-1059-8
855. Modelling and quantifying tomorrow's risks from natural hazards G. Cremen et al. https://doi.org/10.1016/j.scitotenv.2021.152552
856. Einfluss des Klimawandels auf die Schlaganfallhäufigkeit in Südwestdeutschland J. Treib et al. https://doi.org/10.1055/a-2578-7174
857. Using bias correction and ensemble modelling for predictive mapping and related uncertainty: A case study in digital soil mapping J. Sylvain et al. https://doi.org/10.1016/j.geoderma.2021.115153
858. Climate Change Adaptation to Extreme Rainfall Events on a Local Scale in Namyangju, South Korea T. Lee et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001906
859. Impact of climate change on global malaria distribution C. Caminade et al. https://doi.org/10.1073/pnas.1302089111
860. Global hydrological droughts in the 21st century under a changing hydrological regime N. Wanders et al. https://doi.org/10.5194/esd-6-1-2015
861. Estimating degree-day factors of snow based on energy flux components M. Ismail et al. https://doi.org/10.5194/tc-17-211-2023
862. Assessment of CMIP5 multimodel mean for the historical climate of Africa S. Zebaze et al. https://doi.org/10.1002/asl.926
863. Larger Drought and Flood Hazards and Adverse Impacts on Population and Economic Productivity Under 2.0 than 1.5°C Warming R. Zhai et al. https://doi.org/10.1029/2019EF001398
864. Climate change risk assessment for ski areas in China J. Deng et al. https://doi.org/10.1016/j.accre.2023.03.008
865. Anthropogenic climate change exacerbates the risk of successive flood-heat extremes: Multi-model global projections based on the Inter-Sectoral Impact Model Intercomparison Project J. Zhou et al. https://doi.org/10.1016/j.scitotenv.2023.164274
866. Assessing Climate Change Impacts on Future Precipitation Using Random Forest Statistical Downscaling of CMIP6 HadGEM3 Projections in the Büyük Menderes Basin I. Ara et al. https://doi.org/10.3390/w18020277
867. Dams with head increaser effect: Harnessing potential and kinetic power from rivers with large head and flow variation J. Hunt et al. https://doi.org/10.1016/j.enconman.2017.12.034
868. Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network C. Ramírez Carabalí et al. https://doi.org/10.1002/met.2054
869. Inequality of Global Thermal Comfort Conditions Changes in a Warmer World J. Zhang et al. https://doi.org/10.1029/2022EF003109
870. Alleviating future groundwater stress in China requires more stringent adaptation beyond existing measures Z. Huang et al. https://doi.org/10.1016/j.oneear.2026.101753
871. Mitigation of Arctic permafrost carbon loss through stratospheric aerosol geoengineering Y. Chen et al. https://doi.org/10.1038/s41467-020-16357-8
872. Estimating population heat exposure and impacts on working people in conjunction with climate change T. Kjellstrom et al. https://doi.org/10.1007/s00484-017-1407-0
873. Spatio-temporal variations in the areas suitable for the cultivation of rice and maize in China under future climate scenarios Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.05.232
874. Decreasing wheat yield stability on the North China Plain: Relative contributions from climate change in mean and variability W. Liu et al. https://doi.org/10.1002/joc.6882
875. The critical role of humidity in modeling summer electricity demand across the United States D. Maia-Silva et al. https://doi.org/10.1038/s41467-020-15393-8
876. Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts D. Gergel et al. https://doi.org/10.5194/gmd-17-191-2024
877. North Expansion of Winter Wheat Planting Area in China under Different Emissions Scenarios M. Wu et al. https://doi.org/10.3390/agriculture12060763
878. Impacts of land use, restoration, and climate change on tropical peat carbon stocks in the twenty-first century: implications for climate mitigation M. Warren et al. https://doi.org/10.1007/s11027-016-9712-1
879. Considerations in designing climate change assessments for complex, non-linear hydrological systems F. Johnson et al. https://doi.org/10.1016/j.jhydrol.2024.132182
880. Human influence on the unprecedented 2022 extreme dragon boat water event in South China: Insights from historical and projected perspectives S. Li et al. https://doi.org/10.1016/j.wace.2025.100830
881. Green water will deviate the planetary boundary twice by the end of the 21st Century D. Yang et al. https://doi.org/10.1016/j.gloplacha.2026.105482
882. Temporal disaggregation of hourly precipitation under changing climate over the Southeast United States B. Takhellambam et al. https://doi.org/10.1038/s41597-022-01304-7
883. Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation V. Khokhlov et al. https://doi.org/10.1007/s00704-023-04792-8
884. Multi-Criteria Decision Framework to Evaluate Bias Corrected Climate Change Projections in the Piracicaba River Basin C. Billerbeck et al. https://doi.org/10.1590/0102-77863630068
885. Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: Application to Gongola river basin, Nigeria A. Salaudeen et al. https://doi.org/10.1016/j.scitotenv.2022.159874
886. Historical and future heat-related mortality in Portugal’s Alentejo region D. Neto & M. Araújo https://doi.org/10.1186/s12889-024-21058-8
887. Global Bias-Corrected CORDEX Datasets at Half Degree Resolution F. Yakubu et al. https://doi.org/10.1038/s41597-025-06200-4
888. A Modular and Transferable Framework for Enhancing Satellite-Derived Daily Precipitation: Adjusting Values, Aligning Distributions, and Preserving Extremes B. Istanto et al. https://doi.org/10.3390/rs18142298
889. Adaptation strategies of agriculture and water management to climate change in the Upper Tarim River basin, NW China S. Huang et al. https://doi.org/10.1016/j.agwat.2018.03.004
890. The Geoheritage of Mount Ararat and its Vicinity: An Assessment of Geodiversity with a Focus on Glaciation and Mountaineering E. Canpolat et al. https://doi.org/10.1007/s12371-026-01269-8
891. A multi-model analysis of risk of ecosystem shifts under climate change L. Warszawski et al. https://doi.org/10.1088/1748-9326/8/4/044018
892. Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models Z. Yuan et al. https://doi.org/10.3390/ijerph15112491
893. Projected Impacts of Climate Change on Drought Patterns Over East Africa G. Haile et al. https://doi.org/10.1029/2020EF001502
894. Multi-Model Projections of River Flood Risk in Europe under Global Warming L. Alfieri et al. https://doi.org/10.3390/cli6010006
895. Impact of solar geoengineering on temperature-attributable mortality A. Harding et al. https://doi.org/10.1073/pnas.2401801121
896. Daily precipitation and temperature for 2021–2050 over China: Multiple RCMs and emission scenarios corrected by a trend‐preserving method J. Zhang et al. https://doi.org/10.1002/joc.7955
897. Revealing phenological vulnerabilities in wheat yield formation under climate warming: a process-based framework for adaptive breeding M. Li et al. https://doi.org/10.1016/j.agrformet.2026.111289
898. Responses of crop yield growth to global temperature and socioeconomic changes T. Iizumi et al. https://doi.org/10.1038/s41598-017-08214-4
899. Impact of model developments on present and future simulations of permafrost in a global land-surface model S. Chadburn et al. https://doi.org/10.5194/tc-9-1505-2015
900. Climate Change Impacts on Winter Wheat Yield in Northern China X. Geng et al. https://doi.org/10.1155/2019/2767018
901. Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections M. Shin et al. https://doi.org/10.1002/hyp.10948
902. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method S. Ngai et al. https://doi.org/10.1016/j.gloplacha.2016.12.009
903. Environmental flow limits to global groundwater pumping I. de Graaf et al. https://doi.org/10.1038/s41586-019-1594-4
904. Projected climate change and its impacts on glaciers and water resources in the headwaters of the Tarim River, NW China/Kyrgyzstan M. Wortmann et al. https://doi.org/10.1007/s10584-022-03343-w
905. Large sex differences in vulnerability to circulatory-system disease under current and future climate in Bucharest and its rural surroundings Z. Chitu et al. https://doi.org/10.1016/j.envres.2023.116531
906. Assessing the impact of bias correction approaches on climate extremes and the climate change signal H. Zhang et al. https://doi.org/10.1002/met.2204
907. Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments J. Meyer et al. https://doi.org/10.5194/hess-23-1339-2019
908. Varying Benefits of Irrigation Expansion for Crop Production Under a Changing Climate and Competitive Water Use Among Crops M. Okada et al. https://doi.org/10.1029/2017EF000763
909. Projection of future precipitation extremes across the Bangkok Metropolitan Region R. Cooper https://doi.org/10.1016/j.heliyon.2019.e01678
910. River flood risk in Jakarta under scenarios of future change Y. Budiyono et al. https://doi.org/10.5194/nhess-16-757-2016
911. A toolkit for climate change analysis and pattern recognition for extreme weather conditions – Case study: California-Baja California Peninsula S. Ashraf Vaghefi et al. https://doi.org/10.1016/j.envsoft.2017.06.033
912. The impact of 1.5 °C and 2.0 °C global warming on global maize production and trade K. Li et al. https://doi.org/10.1038/s41598-022-22228-7
913. Establishment and characteristics analysis of a crop–drought vulnerability curve: a case study of European winter wheat Y. Wu et al. https://doi.org/10.5194/nhess-21-1209-2021
914. Projecting future excess deaths associated with extreme precipitation events in China under changing climate: an integrated modelling study J. Ban et al. https://doi.org/10.1016/S2542-5196(24)00202-X
915. Climate change impacts on temperature and precipitation over the Caspian Sea S. Hoseini et al. https://doi.org/10.1080/07900627.2024.2313050
916. Impacts of climate change on agrometeorological indices at winter wheat overwintering stage in northern China during 2021–2050 Z. Hao et al. https://doi.org/10.1002/joc.5764
917. Global soil organic carbon removal by water erosion under climate change and land use change during AD 1850–2005 V. Naipal et al. https://doi.org/10.5194/bg-15-4459-2018
918. Constraining Climate Model Projections of Regional Precipitation Change B. Zhang & B. Soden https://doi.org/10.1029/2019GL083926
919. Impacts of Future Climate Change and Atmospheric CO2 Concentration on Ecosystem Water Retention Service L. Yin et al. https://doi.org/10.1029/2021EF002138
920. WFDE5: bias-adjusted ERA5 reanalysis data for impact studies M. Cucchi et al. https://doi.org/10.5194/essd-12-2097-2020
921. Evaluating statistical and machine learning bias-correction methods for CMIP6 rainfall projections in a tropical megacity N. Miniandi et al. https://doi.org/10.1007/s00704-026-06223-w
922. Nationwide projections of heat- and cold-related mortality impacts under various climate change and population development scenarios in Switzerland E. de Schrijver et al. https://doi.org/10.1088/1748-9326/ace7e1