74 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. 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
4. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. 10.1371/journal.pone.0165630
5. 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
6. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
7. Potential Changes in Runoff of California’s Major Water Supply Watersheds in the 21st Century M. He et al. 10.3390/w11081651
8. 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
9. Impact of Human Intervention and Climate Change on Natural Flow Regime N. Mittal et al. 10.1007/s11269-015-1185-6
10. A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
11. Bias correction and downscaling of future RCM precipitation projections using a MOS-Analog technique M. Turco et al. 10.1002/2016JD025724
12. 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
13. 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
14. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. 10.1002/2015JD023890
15. 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
16. Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections M. Shin et al. 10.1002/hyp.10948
17. 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
18. 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
19. Depth‐Duration‐Frequency of Extreme Precipitation Events Under Internal Climate Variability: Indian Summer Monsoon D. Upadhyay et al. 10.1029/2020JD034193
20. 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
21. 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
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. 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
25. 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
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. Bias Correcting Climate Change Simulations - a Critical Review D. Maraun 10.1007/s40641-016-0050-x
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. Intensified hydroclimatic regime in Korean basins under 1.5 and 2°C global warming J. Kim et al. 10.1002/joc.6311
35. Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea H. Eum et al. 10.1007/s00477-016-1312-9
36. 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
37. The Influence of Climate Model Biases on Projections of Aridity and Drought D. Ficklin et al. 10.1175/JCLI-D-15-0439.1
38. 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
39. 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
40. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
41. 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
42. Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? P. Hosseinzadehtalaei et al. 10.1002/joc.5069
43. 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
44. 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
45. Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
46. Understanding Differences in California Climate Projections Produced by Dynamical and Statistical Downscaling D. Walton et al. 10.1029/2020JD032812
47. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
48. Nonparametric quantile mapping using the response surface method – bias correction of daily precipitation T. Bong et al. 10.2166/wcc.2017.127
49. Statistical precipitation bias correction of gridded model data using point measurements J. Haerter et al. 10.1002/2015GL063188
50. 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
51. Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa B. Ayugi et al. 10.3390/w12030801
52. Designing ecological climate change impact assessments to reflect key climatic drivers H. Sofaer et al. 10.1111/gcb.13653
53. 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
54. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. 10.5194/hess-21-2649-2017
55. Evaluation of some distributional downscaling methods as applied to daily maximum temperature with emphasis on extremes J. Lanzante et al. 10.1002/joc.6288
56. Comparison of CMIP3 and CMIP5 projected hydrologic conditions over the Upper Colorado River Basin J. Ayers et al. 10.1002/joc.4594
57. Improved Bias Correction Techniques for Hydrological Simulations of Climate Change* D. Pierce et al. 10.1175/JHM-D-14-0236.1
58. 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
59. Global Warming Impacts on Severe Drought Characteristics in Asia Monsoon Region J. Kim et al. 10.3390/w12051360
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
71. 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
72. 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
73. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. 10.5194/hess-20-1947-2016
74. 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