196 citations as recorded by crossref.

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28. Regional Climate Projections of Extreme Heat Events in Nine Pilot Canadian Communities for Public Health Planning B. Casati et al. 10.1175/JAMC-D-12-0341.1
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30. The VALUE perfect predictor experiment: Evaluation of temporal variability D. Maraun et al. 10.1002/joc.5222
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32. Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change Q. He et al. 10.1016/j.agee.2023.108536
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34. Bias correction of d4PDF using a moving window method and their uncertainty analysis in estimation and projection of design rainfall depth S. Watanabe et al. 10.3178/hrl.14.117
35. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires 10.1007/s10584-023-03597-y
36. Model Consistent Pseudo-Observations of Precipitation and Their Use for Bias Correcting Regional Climate Models P. Berg et al. 10.3390/cli3010118
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43. Solar Irradiance and Temperature Variability and Projected Trends Analysis in Burundi A. Lawin et al. 10.3390/cli7060083
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45. Climate change impact on available water resources obtained using multiple global climate and hydrology models S. Hagemann et al. 10.5194/esd-4-129-2013
46. 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
47. Past and projected climate change impacts on rainfall erosivity: Advancing our knowledge for the eastern Mediterranean island of Crete M. Grillakis et al. 10.1016/j.catena.2020.104625
48. 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
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
52. Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems D. Liu et al. 10.1002/joc.5820
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55. A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations C. Kusumastuti et al. 10.1029/2021GL092953
56. The issue of properly ordering climate indices calculation and bias correction before identifying spatial analogs for agricultural applications P. Grenier et al. 10.1016/j.cliser.2019.100122
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. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
64. 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
65. 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
66. 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
67. On projected hydrological scenarios under the influence of bias-corrected climatic variables and LULC S. Sahoo et al. 10.1016/j.ecolind.2019.105440
68. 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
69. 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
70. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
71. Evaluation of bias correction methods for wave modeling output K. Parker & D. Hill 10.1016/j.ocemod.2016.12.008
72. 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
73. 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
74. 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
75. Choice of reference climate conditions matters in impact studies: Case of bias‐corrected CORDEX data set L. Dobor & T. Hlásny 10.1002/joc.5930
76. Hydrologic Determinants of Climate Change Impacts on Regulated Water Resources Systems D. González-Zeas et al. 10.1007/s11269-015-0920-3
77. Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model I. Mugume et al. 10.1155/2016/7530759
78. 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
79. 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
80. 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
81. 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
82. Climate change impact on the hydrological budget of a large Mediterranean island S. Nerantzaki et al. 10.1080/02626667.2019.1630741
83. A novel bias correction method for extreme rainfall events based on L‐moments R. Anthanahalli Nanjegowda & S. Kulamulla Parambath 10.1002/joc.7242
84. Joint bias correction of temperature and precipitation in climate model simulations C. Li et al. 10.1002/2014JD022514
85. Systematic investigation of skill opportunities in decadal prediction of air temperature over Europe G. Sgubin et al. 10.1007/s00382-021-05863-0
86. Estimation of the effect of future changes in precipitation in Japan on pluvial flood damage and the damage reduction effect of mitigation/adaptation measures H. Yanagihara et al. 10.1371/journal.pclm.0000039
87. Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations A. Dosio et al. 10.1007/s10584-022-03307-0
88. 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
89. 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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91. 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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94. Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM G. Krinner et al. 10.1029/2018MS001438
95. When 1+1 can be >2: Uncertainties compound when simulating climate, fisheries and marine ecosystems K. Evans et al. 10.1016/j.dsr2.2014.04.006
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103. Modeling the Potential Impacts of Climate Change on a Small Watershed in Labrador, Canada J. Roberts et al. 10.4296/cwrj2011-923
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107. 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
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129. Towards Reducing Climate Change Impact Assessment Process Uncertainty A. Gaur & S. Simonovic 10.1007/s40710-015-0070-x
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137. Evaluation of Regional Climate Models (RCMs) Using Precipitation and Temperature-Based Climatic Indices: A Case Study of Florida, USA Y. Bayissa et al. 10.3390/w13172411
138. 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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144. Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change P. Smith et al. 10.1007/s10584-014-1263-4
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149. Projected climate change impacts on mean and year-to-year variability of yield of key smallholder crops in Sub-Saharan Africa B. Stuch et al. 10.1080/17565529.2020.1760771
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