203 citations as recorded by crossref.

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34. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires 10.1007/s10584-023-03597-y
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45. Statistical bias correction for creating coherent total ozone record from OMI and OMPS observations K. Bai et al. 10.1016/j.rse.2016.05.007
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47. Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach H. Nguyen et al. 10.1029/2019WR026022
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49. Future prediction of snow cover and field moisture in early spring in Hokkaido, Japan Y. KOMINAMI et al. 10.2480/cib.J076
50. Combining Bias-correction on Regional Climate Simulations and ENSO Signal for Water Management: Case Study for Tampa Bay, Florida, U.S. S. Hwang & J. Hernandez 10.5532/KJAFM.2012.14.4.143
51. Impact of climate change on future availability of water for irrigation and hydropower generation in the Omo-Gibe Basin of Ethiopia T. Orkodjo et al. 10.1016/j.ejrh.2022.101254
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57. Changes in the world rivers’ discharge projected from an updated high resolution dataset of current and future climate zones M. Santini & A. di Paola 10.1016/j.jhydrol.2015.10.050
58. Observed and projected changes in temperature and precipitation extremes based on CORDEX data over Iran F. Fathian et al. 10.1007/s00704-022-04066-9
59. Potential future impact of climate change on recharge in the Sierra de las Nieves (southern Spain) high-relief karst aquifer using regional climate models and statistical corrections E. Pardo-Igúzquiza et al. 10.1007/s12665-019-8594-4
60. Performance evaluation of raw and bias-corrected ERA5 precipitation data with respect to extreme precipitation analysis: case study in Upper Jhelum Basin, South Asia R. Ansari & G. Grossi 10.1007/s00704-022-04239-6
61. An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment P. Smitha et al. 10.1016/j.jhydrol.2017.11.010
62. Projections of future rainfall for the upper Ping River Basin using regression-based downscaling S. Saengsawang et al. 10.1016/j.accre.2017.11.001
63. Screening CMIP6 models for Chile based on past performance and code genealogy F. Gateño et al. 10.1007/s10584-024-03742-1
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65. Impact of climate change on water resources of upper Kharun catchment in Chhattisgarh, India N. Kumar et al. 10.1016/j.ejrh.2017.07.008
66. The effect of bias correction and climate model resolution on wheat simulations forced with a regional climate model ensemble I. Macadam et al. 10.1002/joc.4653
67. Exploring the ability of current climate information to facilitate local climate services for the water sector A. Koutroulis et al. 10.1186/s40322-015-0032-5
68. On projected hydrological scenarios under the influence of bias-corrected climatic variables and LULC S. Sahoo et al. 10.1016/j.ecolind.2019.105440
69. Water availability and response of Tarbela Reservoir under the changing climate in the Upper Indus Basin, Pakistan F. Khan 10.1038/s41598-022-20159-x
70. 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 10.1002/joc.6432
71. Climate Change Impact on Photovoltaic Production From the Perspective of Climate Models: a Systematic Review N. Araújo et al. 10.24857/rgsa.v18n10-257
72. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
73. Evaluation of bias correction methods for wave modeling output K. Parker & D. Hill 10.1016/j.ocemod.2016.12.008
74. The impact of climate change scenarios on droughts and their propagation in an arid Mediterranean basin. A useful approach for planning adaptation strategies J. Gomez-Gomez et al. 10.1016/j.scitotenv.2022.153128
75. Water yield and biomass production for on a eucalypt-dominated Mediterranean catchment under different climate scenarios J. Rocha et al. 10.1007/s11676-022-01590-2
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77. Projections of long-term changes in solar radiation based on CMIP5 climate models and their influence on energy yields of photovoltaic systems M. Wild et al. 10.1016/j.solener.2015.03.039
78. Choice of reference climate conditions matters in impact studies: Case of bias‐corrected CORDEX data set L. Dobor & T. Hlásny 10.1002/joc.5930
79. Hydrologic Determinants of Climate Change Impacts on Regulated Water Resources Systems D. González-Zeas et al. 10.1007/s11269-015-0920-3
80. Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model I. Mugume et al. 10.1155/2016/7530759
81. Estimation of the mitigation and the adaptation for the flood in Japan caused by climate change T. YAMAMOTO et al. 10.2208/jscejer.75.I_15
82. The future of the Portuguese (SW Europe) most vulnerable coastal areas under climate change – Part I: Performance evaluation and shoreline evolution from a downscaled bias corrected wave climate ensemble G. Lemos et al. 10.1016/j.oceaneng.2024.117661
83. Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction B. Ye et al. 10.1016/j.rser.2020.110415
84. Impacts of fire prevention strategies in a changing climate: an assessment for Portugal C. DaCamara et al. 10.1088/2752-5295/ad574f
85. An R package for assessment of statistical downscaling methods for hydrological climate change impact studies M. Hanel et al. 10.1016/j.envsoft.2017.03.036
86. Climate change impact on the hydrological budget of a large Mediterranean island S. Nerantzaki et al. 10.1080/02626667.2019.1630741
87. A novel bias correction method for extreme rainfall events based on L‐moments R. Anthanahalli Nanjegowda & S. Kulamulla Parambath 10.1002/joc.7242
88. Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal? P. Reiter & M. Casper 10.3390/hydrology11090143
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94. Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction E. Maurer et al. 10.5194/hess-17-2147-2013
95. Enumerating the Effects of Climate Change on Water Resources Using GCM Scenarios at the Xin’anjiang Watershed, China M. Zaman et al. 10.3390/w10101296
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97. Effects of different climate downscaling methods on the assessment of climate change impacts on wheat cropping systems D. Liu et al. 10.1007/s10584-017-2054-5
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144. Possible changes in Sudan's future precipitation under the high and medium emission scenarios based on bias adjusted GCMs M. Hamadalnel et al. 10.1016/j.atmosres.2022.106036
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