88 citations as recorded by crossref.

1. Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies M. Kimani et al. 10.3390/rs10071074
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
3. 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
4. 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
5. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. 10.1371/journal.pone.0165630
6. Assessment of Climate Change Impacts on Extreme Precipitation Events: Applications of CMIP5 Climate Projections Statistically Downscaled over South Korea J. Sung et al. 10.1155/2018/4720523
7. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
8. Potential Changes in Runoff of California’s Major Water Supply Watersheds in the 21st Century M. He et al. 10.3390/w11081651
9. 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
10. Future Projections of Heat Mortality Risk for Major European Cities A. Karwat & C. Franzke 10.1175/WCAS-D-20-0142.1
11. Spatio-temporal Investigations of Monsoon Precipitation and Its Historical and Future Trend over Sudan M. Hamadalnel et al. 10.1007/s41748-021-00236-3
12. Impact of Human Intervention and Climate Change on Natural Flow Regime N. Mittal et al. 10.1007/s11269-015-1185-6
13. A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
14. Bias correction and downscaling of future RCM precipitation projections using a MOS-Analog technique M. Turco et al. 10.1002/2016JD025724
15. 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
16. 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
17. 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
18. 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
19. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. 10.1002/2015JD023890
20. 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
21. Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections M. Shin et al. 10.1002/hyp.10948
22. Intercomparison of drift correction alternatives for CMIP5 decadal precipitation M. Hossain et al. 10.1002/joc.7287
23. 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
24. 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
25. Comparison of Three Techniques to Adjust Daily Precipitation Biases from Regional Climate Models over Germany C. Ibebuchi et al. 10.3390/w14040600
26. Depth‐Duration‐Frequency of Extreme Precipitation Events Under Internal Climate Variability: Indian Summer Monsoon D. Upadhyay et al. 10.1029/2020JD034193
27. 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
28. 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
29. 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
30. Transferability of climate simulation uncertainty to hydrological impacts H. Wang et al. 10.5194/hess-22-3739-2018
31. 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
32. 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
33. 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
34. Time Scale Decomposition of Climate and Correction of Variability Using Synthetic Samples of Stable Distributions M. Gomez‐Garcia et al. 10.1029/2018WR023053
35. Bias Correcting Climate Change Simulations - a Critical Review D. Maraun 10.1007/s40641-016-0050-x
36. 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
37. 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
38. 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
39. 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
40. 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
41. Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation S. Kim et al. 10.1016/j.jhydrol.2020.125685
42. 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
43. 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
44. Intensified hydroclimatic regime in Korean basins under 1.5 and 2°C global warming J. Kim et al. 10.1002/joc.6311
45. Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea H. Eum et al. 10.1007/s00477-016-1312-9
46. 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
47. The Influence of Climate Model Biases on Projections of Aridity and Drought D. Ficklin et al. 10.1175/JCLI-D-15-0439.1
48. 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
49. 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
50. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
51. 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
52. A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations C. Kusumastuti et al. 10.1029/2021GL092953
53. Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? P. Hosseinzadehtalaei et al. 10.1002/joc.5069
54. 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
55. 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
56. Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
57. Understanding Differences in California Climate Projections Produced by Dynamical and Statistical Downscaling D. Walton et al. 10.1029/2020JD032812
58. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
59. Nonparametric quantile mapping using the response surface method – bias correction of daily precipitation T. Bong et al. 10.2166/wcc.2017.127
60. Modeling crop yields amidst climate change in the Nile basin (2040–2079) S. Ahmed 10.1007/s40808-021-01199-0
61. Statistical precipitation bias correction of gridded model data using point measurements J. Haerter et al. 10.1002/2015GL063188
62. Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
63. Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa B. Ayugi et al. 10.3390/w12030801
64. Designing ecological climate change impact assessments to reflect key climatic drivers H. Sofaer et al. 10.1111/gcb.13653
65. 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
66. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. 10.5194/hess-21-2649-2017
67. Evaluation of some distributional downscaling methods as applied to daily maximum temperature with emphasis on extremes J. Lanzante et al. 10.1002/joc.6288
68. Comparison of CMIP3 and CMIP5 projected hydrologic conditions over the Upper Colorado River Basin J. Ayers et al. 10.1002/joc.4594
69. Improved Bias Correction Techniques for Hydrological Simulations of Climate Change* D. Pierce et al. 10.1175/JHM-D-14-0236.1
70. 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
71. Global Warming Impacts on Severe Drought Characteristics in Asia Monsoon Region J. Kim et al. 10.3390/w12051360
72. 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
73. 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
74. 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
75. 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
76. 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
77. 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
78. Future Summer Marine Heatwaves in the Western South Atlantic N. Costa & R. Rodrigues 10.1029/2021GL094509
79. 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
80. 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
81. 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
82. The implications of bias correction methods and climate model ensembles on soil erosion projections under climate change J. Eekhout & J. Vente 10.1002/esp.4563
83. 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
84. Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
85. 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
86. 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
87. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. 10.5194/hess-20-1947-2016
88. 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