137 citations as recorded by crossref.

1. Nested hydrological modeling for flood prediction using CMIP6 inputs around Lake Tana, Ethiopia A. Alaminie et al. 10.1016/j.ejrh.2023.101343
2. Projections of climate change indices of temperature and precipitation from an ensemble of bias‐adjusted high‐resolution EURO‐CORDEX regional climate models A. Dosio 10.1002/2015JD024411
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4. An appraisal of the NEX-GDDP precipitation dataset across homogeneous precipitation sub-regions of Iran V. Ghalami et al. 10.1007/s00704-023-04399-z
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6. Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran) F. Zebarjadian et al. 10.1002/joc.8458
7. Spatio-temporal Investigations of Monsoon Precipitation and Its Historical and Future Trend over Sudan M. Hamadalnel et al. 10.1007/s41748-021-00236-3
8. Impact of Human Intervention and Climate Change on Natural Flow Regime N. Mittal et al. 10.1007/s11269-015-1185-6
9. A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
10. Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China L. Xu & A. Wang 10.1029/2019EA000995
11. Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin D. Jose & G. Dwarakish 10.1007/s13143-021-00240-7
12. The Climate Data for Adaptation and Vulnerability Assessments and the Spatial Interactions Downscaling Method A. de Lima Moraes & S. Khoshnood Motlagh 10.1038/s41597-024-03995-6
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14. CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al. 10.1038/s41597-023-01956-z
15. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. 10.1002/2015JD023890
16. Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea S. Kim et al. 10.3390/w8030091
17. Comparison of Three Techniques to Adjust Daily Precipitation Biases from Regional Climate Models over Germany C. Ibebuchi et al. 10.3390/w14040600
18. Regression-based distribution mapping for bias correction of climate model outputs using linear quantile regression C. Passow & R. Donner 10.1007/s00477-019-01750-7
19. Bias Correction of Mixed Distributions of Temperature with Strong Diurnal Signal M. Haider et al. 10.1175/WAF-D-21-0108.1
20. Impact of the spatial variability of daily precipitation on hydrological projections: A comparison of GCM‐ and RCM‐driven cases in the Han River basin, Korea M. Lee et al. 10.1002/hyp.13469
21. Investigating Whether the Ensemble Average of Multi-Global-Climate-Models Can Necessarily Better Project Seasonal Drought Conditions in China J. Liu et al. 10.3390/atmos14091408
22. Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level C. Donnelly et al. 10.1007/s10584-017-1971-7
23. Transferability of climate simulation uncertainty to hydrological impacts H. Wang et al. 10.5194/hess-22-3739-2018
24. Quantifying the Impact of Future Climate Change on Runoff in the Amur River Basin Using a Distributed Hydrological Model and CMIP6 GCM Projections K. Wen et al. 10.3390/atmos12121560
25. Analysis of Precipitation Projections over the Climate Gradient of the Arkansas Red River Basin L. Qiao et al. 10.1175/JAMC-D-16-0201.1
26. Time Scale Decomposition of Climate and Correction of Variability Using Synthetic Samples of Stable Distributions M. Gomez‐Garcia et al. 10.1029/2018WR023053
27. Transferability of optimally-selected climate models in the quantification of climate change impacts on hydrology J. Chen et al. 10.1007/s00382-016-3030-x
28. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method S. Ngai et al. 10.1016/j.gloplacha.2016.12.009
29. Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe J. Bedia et al. 10.1016/j.cliser.2017.04.001
30. Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation S. Kim et al. 10.1016/j.jhydrol.2020.125685
31. Intensified hydroclimatic regime in Korean basins under 1.5 and 2°C global warming J. Kim et al. 10.1002/joc.6311
32. Multi-site statistical downscaling of precipitation using generalized hierarchical linear models: a case study of the imperilled Lake Urmia basin M. Abbasian et al. 10.1080/02626667.2020.1810255
33. Future Changes of Agro-Climate and Heat Extremes over S. Korea at 2 and 3 °C Global Warming Levels with CORDEX-EA Phase 2 Projection S. Jo et al. 10.3390/atmos11121336
34. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
35. Effects of univariate and multivariate statistical downscaling methods on climatic and hydrologic indicators for Alberta, Canada H. Eum et al. 10.1016/j.jhydrol.2020.125065
36. Assessing the Effect of Bias Correction Methods on the Development of Intensity–Duration–Frequency Curves Based on Projections from the CORDEX Central America GCM-RCM Multimodel-Ensemble M. Mendez et al. 10.3390/w16233473
37. Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts D. Gergel et al. 10.5194/gmd-17-191-2024
38. SnowQM 1.0: a fast R package for bias-correcting spatial fields of snow water equivalent using quantile mapping A. Michel et al. 10.5194/gmd-17-8969-2024
39. Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? P. Hosseinzadehtalaei et al. 10.1002/joc.5069
40. Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach F. Hanzer et al. 10.5194/hess-22-1593-2018
41. Bias nonstationarity of global climate model outputs: The role of internal climate variability and climate model sensitivity Y. Hui et al. 10.1002/joc.5950
42. Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
43. Nonparametric quantile mapping using the response surface method – bias correction of daily precipitation T. Bong et al. 10.2166/wcc.2017.127
44. Statistical precipitation bias correction of gridded model data using point measurements J. Haerter et al. 10.1002/2015GL063188
45. Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa B. Ayugi et al. 10.3390/w12030801
46. Designing ecological climate change impact assessments to reflect key climatic drivers H. Sofaer et al. 10.1111/gcb.13653
47. Evaluation of some distributional downscaling methods as applied to daily maximum temperature with emphasis on extremes J. Lanzante et al. 10.1002/joc.6288
48. Comparison of CMIP3 and CMIP5 projected hydrologic conditions over the Upper Colorado River Basin J. Ayers et al. 10.1002/joc.4594
49. Improved Bias Correction Techniques for Hydrological Simulations of Climate Change* D. Pierce et al. 10.1175/JHM-D-14-0236.1
50. Quantile-based bias-correction of extreme rainfall: Pros & cons of popular methods for climate signal preservation R. Padulano et al. 10.1016/j.jhydrol.2025.132814
51. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes? A. Cannon et al. 10.1175/JCLI-D-14-00754.1
52. Statistical downscaling differences strongly alter projected climate damages S. Miller et al. 10.1038/s43247-025-02134-2
53. Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy) L. Sangelantoni et al. 10.1007/s11069-018-3328-6
54. 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 10.1002/joc.4924
55. Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models M. Turco et al. 10.1038/s41467-018-06358-z
56. Responses of Unimpaired Flows, Storage, and Managed Flows to Scenarios of Climate Change in the San Francisco Bay‐Delta Watershed N. Knowles et al. 10.1029/2018WR022852
57. Case Study: Development of the CNN Model Considering Teleconnection for Spatial Downscaling of Precipitation in a Climate Change Scenario J. Kim et al. 10.3390/su14084719
58. The implications of bias correction methods and climate model ensembles on soil erosion projections under climate change J. Eekhout & J. de Vente 10.1002/esp.4563
59. The Impact of Future Climate Change and Human Activities on Hydro-climatological Drought, Analysis and Projections: Using CMIP5 Climate Model Simulations S. Javadinejad et al. 10.1007/s41101-019-00069-2
60. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. 10.5194/hess-20-1947-2016
61. Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies M. Kimani et al. 10.3390/rs10071074
62. Quantifying future rainfall extremes in Türkiye: a CMIP6 ensemble approach with statistical downscaling T. Tugrul et al. 10.1007/s11600-025-01551-3
63. Global warming intensifies once-in-a-decade extreme precipitation in summer in China A. Zhou & C. Yuan 10.1016/j.aosl.2024.100561
64. Evaluation of Quantile Delta Mapping as a bias‐correction method in maximum rainfall dataset from downscaled models in São Paulo state (Brazil) A. Xavier et al. 10.1002/joc.7238
65. Bias adjustment and downscaling of snow cover fraction projections from regional climate models using remote sensing for the European Alps M. Matiu & F. Hanzer 10.5194/hess-26-3037-2022
66. Assessing the impact of bias correction approaches on climate extremes and the climate change signal H. Zhang et al. 10.1002/met.2204
67. The effect of empirical-statistical correction of intensity-dependent model errors on the temperature climate change signal A. Gobiet et al. 10.5194/hess-19-4055-2015
68. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. 10.1371/journal.pone.0165630
69. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
70. Piecewise‐quantile mapping improves bias correction of global climate model daily precipitation towards preserving quantiles and extremes Q. Zhang et al. 10.1002/joc.7687
71. Assessing future changes in hydroclimatic processes in the Metropolitan Region of Belo Horizonte, Brazil, with the expanded Bluecat framework L. Santos et al. 10.3389/frwa.2025.1541052
72. A Framework to Identify the Uncertainty and Credibility of GCMs for Projected Future Precipitation: A Case Study in the Yellow River Basin, China T. Guan et al. 10.3389/fenvs.2022.863575
73. Potential Changes in Runoff of California’s Major Water Supply Watersheds in the 21st Century M. He et al. 10.3390/w11081651
74. Impacts of drought, food security policy and climate change on performance of irrigation schemes in Sub-saharan Africa: The case of Sudan S. Ahmed 10.1016/j.agwat.2020.106064
75. Future Projections of Heat Mortality Risk for Major European Cities A. Karwat & C. Franzke 10.1175/WCAS-D-20-0142.1
76. Bias correction and downscaling of future RCM precipitation projections using a MOS‐Analog technique M. Turco et al. 10.1002/2016JD025724
77. Climate Change-Driven Hydrological Shifts in the Kon-Ha Thanh River Basin C. Vu et al. 10.3390/w16233389
78. Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates J. Tadić & S. Biraud 10.3390/cli8020018
79. Hot spots of extreme precipitation change under 1.5 and 2 °C global warming scenarios L. Xu et al. 10.1016/j.wace.2021.100357
80. Evaluation of four bias correction methods and random forest model for climate change projection in the Mara River Basin, East Africa P. das et al. 10.2166/wcc.2022.299
81. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al. 10.5194/esd-14-549-2023
82. Comparative evaluation of different satellite rainfall estimation products and bias correction in the Upper Blue Nile (UBN) basin W. Abera et al. 10.1016/j.atmosres.2016.04.017
83. Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections M. Shin et al. 10.1002/hyp.10948
84. Intercomparison of drift correction alternatives for CMIP5 decadal precipitation M. Hossain et al. 10.1002/joc.7287
85. Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy L. Sangelantoni et al. 10.1007/s00704-018-2406-8
86. Depth‐Duration‐Frequency of Extreme Precipitation Events Under Internal Climate Variability: Indian Summer Monsoon D. Upadhyay et al. 10.1029/2020JD034193
87. 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. 10.5194/hess-29-1335-2025
88. A non-stationary bias adjustment method for improving the inter-annual variability and persistence of projected precipitation M. Cantalejo et al. 10.1038/s41598-024-76848-2
89. Concurrent drought and heatwave events over the Asian monsoon region: insights from a statistically downscaling CMIP6 dataset L. Xu et al. 10.1088/1748-9326/ad2cad
90. Development of Downscaled Climate Projections: A Case Study of the Red River Basin, South-Central U.S. D. Bertrand & R. McPherson 10.1155/2019/4702139
91. Bias Correcting Climate Change Simulations - a Critical Review D. Maraun 10.1007/s40641-016-0050-x
92. Projecting Relative Sea Level Rise under Climate Change at the Phrachula Chomklao Fort Tide Gauge in the Upper Gulf of Thailand C. Jaroenongard et al. 10.3390/w13121702
93. The Dependence of Hydroclimate Projections in Snow‐Dominated Regions of the Western United States on the Choice of Statistically Downscaled Climate Data J. Alder & S. Hostetler 10.1029/2018WR023458
94. Convection-permitting regional climate simulations for representing floods in small- and medium-sized catchments in the Eastern Alps C. Reszler et al. 10.5194/nhess-18-2653-2018
95. Uncertainty Assessment in Drought Severities for the Cheongmicheon Watershed Using Multiple GCMs and the Reliability Ensemble Averaging Method P. Abdulai & E. Chung 10.3390/su11164283
96. State-of-the-art bias correction of climate models misrepresent climate science and misinform adaptation V. Chandel et al. 10.1088/1748-9326/ad6d82
97. Bias adjustment of hourly rainfall distributions in WFDE5 reanalysis for hydrological impact studies in Benin (West Africa) R. Bodjrènou et al. 10.1007/s00704-024-05078-3
98. Historical trends and future projections of annual rainfall from CMIP6 models in Ho Chi Minh City, Vietnam D. Phuong et al. 10.3354/cr01736
99. Application of weather post-processing methods for operational ensemble hydrological forecasting on multiple catchments in Canada F. Aguilar Andrade et al. 10.1016/j.jhydrol.2024.131861
100. Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea H. Eum et al. 10.1007/s00477-016-1312-9
101. The Influence of Climate Model Biases on Projections of Aridity and Drought D. Ficklin et al. 10.1175/JCLI-D-15-0439.1
102. Historic and projected changes in vapor pressure deficit suggest a continental‐scale drying of the United States atmosphere D. Ficklin & K. Novick 10.1002/2016JD025855
103. Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. 10.1080/02626667.2023.2201450
104. Impact of bias correction on climate change signals over central Europe and the Iberian Peninsula A. Ugolotti et al. 10.3389/fenvs.2023.1116429
105. A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations C. Kusumastuti et al. 10.1029/2021GL092953
106. The Time of Emergence (ToE) of the Andean Mediterranean sclerophyllous forest of Quillaja saponaria (Mol.) and Lithraea caustica (mol.) Hox. & Arn D. Martínez et al. 10.1016/j.foreco.2023.121169
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108. Understanding Differences in California Climate Projections Produced by Dynamical and Statistical Downscaling D. Walton et al. 10.1029/2020JD032812
109. Climate Change Effects on Rainfall Intensity–Duration–Frequency (IDF) Curves for the Lake Erie Coast Using Various Climate Models S. Mainali & S. Sharma 10.3390/w15234063
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111. Optimal selection of representative climate models and statistical downscaling for climate change impact studies: a case study of Rhode Island, USA S. Shrestha & S. Pradhanang 10.1007/s00704-022-04073-w
112. Modeling crop yields amidst climate change in the Nile basin (2040–2079) S. Ahmed 10.1007/s40808-021-01199-0
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114. Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques Y. Wu et al. 10.1029/2022EF002963
115. Impacts of business-as-usual management on ecosystem services in European mountain ranges under climate change H. Bugmann et al. 10.1007/s10113-016-1074-4
116. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. 10.5194/hess-21-2649-2017
117. The Effect of Climate Change on Forest Fire Danger and Severity in the Canadian Boreal Forests for the Period 1976–2100 Y. Wang 10.1029/2023JD039118
118. On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin L. Sangelantoni et al. 10.3390/atmos10120799
119. Global Warming Impacts on Severe Drought Characteristics in Asia Monsoon Region J. Kim et al. 10.3390/w12051360
120. A framework for projecting future intensity-duration-frequency (IDF) curves based on CORDEX Southeast Asia multi-model simulations: An application for two cities in Southern Vietnam W. Zhao et al. 10.1016/j.jhydrol.2021.126461
121. Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal? P. Reiter & M. Casper 10.3390/hydrology11090143
122. Amplified potential for vegetation stress under climate-change-induced intensifying compound extreme events in the Greater Mediterranean Region P. Olschewski et al. 10.5194/nhess-24-1099-2024
123. Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling D. Li et al. 10.1029/2018JD028835
124. Evaluation of the performance of Euro-CORDEX Regional Climate Models for assessing hydrological climate change impacts in Great Britain: A comparison of different spatial resolutions and quantile mapping bias correction methods E. Pastén-Zapata et al. 10.1016/j.jhydrol.2020.124653
125. Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. 10.1016/j.wace.2022.100484
126. An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX P. Olschewski et al. 10.1016/j.wace.2022.100531
127. A global high-resolution and bias-corrected dataset of CMIP6 projected heat stress metrics Q. Kong & M. Huber 10.1038/s41597-025-04527-6
128. Future Summer Marine Heatwaves in the Western South Atlantic N. Costa & R. Rodrigues 10.1029/2021GL094509
129. Hydrological droughts in the southern Andes (40–45°S) from an ensemble experiment using CMIP5 and CMIP6 models R. Aguayo et al. 10.1038/s41598-021-84807-4
130. Frequency-intensity-distribution bias correction and trend analysis of high-resolution CMIP6 precipitation data over a tropical river basin D. Jose & G. Dwarakish 10.1007/s00704-022-04078-5
131. Index-based insurance to mitigate current and future extreme events financial losses for water utilities G. Gesualdo et al. 10.1016/j.ijdrr.2023.104218
132. Projections of suitable cultivation area for major fruit trees and climate‐type in South Korea under representative concentration pathway scenarios using the ensemble of high‐resolution regional climate models E. Kim et al. 10.1002/joc.8102
133. Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
134. The method ADAMONT v1.0 for statistical adjustment of climate projections applicable to energy balance land surface models D. Verfaillie et al. 10.5194/gmd-10-4257-2017
135. The Köppen‐Trewartha Climate‐Type Changes Over the CORDEX‐East Asia Phase 2 Domain Under 2 and 3 °C Global Warming S. Jo et al. 10.1029/2019GL085452
136. Hybrid approach in statistical bias correction of projected precipitation for the frequency analysis of extreme events M. Um et al. 10.1016/j.advwatres.2016.05.021
137. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230