147 citations as recorded by crossref.

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19. Comparison of Three Techniques to Adjust Daily Precipitation Biases from Regional Climate Models over Germany C. Ibebuchi et al. https://doi.org/10.3390/w14040600
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37. 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
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42. 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. https://doi.org/10.5194/hess-22-1593-2018
43. Bias nonstationarity of global climate model outputs: The role of internal climate variability and climate model sensitivity Y. Hui et al. https://doi.org/10.1002/joc.5950
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45. Nonparametric quantile mapping using the response surface method – bias correction of daily precipitation T. Bong et al. https://doi.org/10.2166/wcc.2017.127
46. When will meteorological droughts become the new normal climatic condition in Central-Southern Chile? F. González-Leiva et al. https://doi.org/10.1080/02626667.2026.2625979
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49. Designing ecological climate change impact assessments to reflect key climatic drivers H. Sofaer et al. https://doi.org/10.1111/gcb.13653
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51. Comparison of CMIP3 and CMIP5 projected hydrologic conditions over the Upper Colorado River Basin J. Ayers et al. https://doi.org/10.1002/joc.4594
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58. Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models M. Turco et al. https://doi.org/10.1038/s41467-018-06358-z
59. Responses of Unimpaired Flows, Storage, and Managed Flows to Scenarios of Climate Change in the San Francisco Bay‐Delta Watershed N. Knowles et al. https://doi.org/10.1029/2018WR022852
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61. 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
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64. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. https://doi.org/10.5194/hess-20-1947-2016
65. Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies M. Kimani et al. https://doi.org/10.3390/rs10071074
66. Quantifying future rainfall extremes in Türkiye: a CMIP6 ensemble approach with statistical downscaling T. Tugrul et al. https://doi.org/10.1007/s11600-025-01551-3
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68. Global warming intensifies once-in-a-decade extreme precipitation in summer in China A. Zhou & C. Yuan https://doi.org/10.1016/j.aosl.2024.100561
69. 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. https://doi.org/10.1002/joc.7238
70. Bias adjustment and downscaling of snow cover fraction projections from regional climate models using remote sensing for the European Alps M. Matiu & F. Hanzer https://doi.org/10.5194/hess-26-3037-2022
71. 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
72. 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
73. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. https://doi.org/10.1371/journal.pone.0165630
74. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. https://doi.org/10.1002/joc.6269
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76. Assessing future changes in hydroclimatic processes in the Metropolitan Region of Belo Horizonte, Brazil, with the expanded Bluecat framework L. Santos et al. https://doi.org/10.3389/frwa.2025.1541052
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78. Potential Changes in Runoff of California’s Major Water Supply Watersheds in the 21st Century M. He et al. https://doi.org/10.3390/w11081651
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80. Future Projections of Heat Mortality Risk for Major European Cities A. Karwat & C. Franzke https://doi.org/10.1175/WCAS-D-20-0142.1
81. Bias correction and downscaling of future RCM precipitation projections using a MOS‐Analog technique M. Turco et al. https://doi.org/10.1002/2016JD025724
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118. Understanding Differences in California Climate Projections Produced by Dynamical and Statistical Downscaling D. Walton et al. https://doi.org/10.1029/2020JD032812
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122. Modeling crop yields amidst climate change in the Nile basin (2040–2079) S. Ahmed https://doi.org/10.1007/s40808-021-01199-0
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125. Impacts of business-as-usual management on ecosystem services in European mountain ranges under climate change H. Bugmann et al. https://doi.org/10.1007/s10113-016-1074-4
126. 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
127. The Effect of Climate Change on Forest Fire Danger and Severity in the Canadian Boreal Forests for the Period 1976–2100 Y. Wang https://doi.org/10.1029/2023JD039118
128. 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
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