48 citations as recorded by crossref.

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2. Projecting climate change impacts on hydrological processes on the Tibetan Plateau with model calibration against the glacier inventory data and observed streamflow Q. Zhao et al. 10.1016/j.jhydrol.2019.03.043
3. Assessing the resilience of stormwater ponds under climate change: A case study on Grace Lake, Florida, unveiling flood control and water quality implications R. Davtalab et al. 10.1016/j.jhydrol.2024.130987
4. Conditional stochastic simulation model for spatial downscaling for assessing the effects of climate change on hydro-meteorological variables T. Lee & T. Ouarda 10.1007/s10584-018-2276-1
5. Latent negative precipitation for the delineation of a zero-precipitation area in spatial interpolations T. Lee & J. Shin 10.1038/s41598-021-99888-4
6. Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C H. Eum et al. 10.1016/j.ejrh.2023.101390
7. Evaluation of impacts of future climate change and water use scenarios on regional hydrology S. Chang et al. 10.5194/hess-22-4793-2018
8. Evaluation of CMIP6 precipitation simulations across different climatic zones: Uncertainty and model intercomparison F. Yazdandoost et al. 10.1016/j.atmosres.2020.105369
9. A Novel Reference-Based and Gradient-Guided Deep Learning Model for Daily Precipitation Downscaling L. Xiang et al. 10.3390/atmos13040511
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11. Data processing system and spatial-temporal reproducibility assessment of GloSea5 model 10.3741/JKWRA.2016.49.9.761
12. 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
13. Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies E. Maurer et al. 10.5194/hess-20-685-2016
14. Hydrological impacts of climate change on rice cultivated riparian wetlands in the Upper Meghna River Basin (Bangladesh and India) M. Rahman et al. 10.1080/02626667.2019.1676427
15. A multiscale approach to statistical downscaling of daily precipitation: Israel as a test case D. Sandler et al. 10.1002/joc.8315
16. Gaussian Copula Method for Bias Correction of Daily Precipitation Generated by a Dynamical Model M. Kim et al. 10.1175/JAMC-D-18-0089.1
17. An intercomparison of multiple statistical downscaling methods for daily precipitation and temperature over China: present climate evaluations Y. Yang et al. 10.1007/s00382-019-04809-x
18. 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
19. How climate change could affect different cities in Canada and what that means for the risks to the built-environment functions H. Viseh & D. Bristow 10.1016/j.uclim.2023.101639
20. The Florida Water and Climate Alliance (FloridaWCA): Developing a Stakeholder–Scientist Partnership to Create Actionable Science in Climate Adaptation and Water Resource Management V. Misra et al. 10.1175/BAMS-D-19-0302.1
21. A Bayesian Kriging model applied for spatial downscaling of daily rainfall from GCMs C. Lima et al. 10.1016/j.jhydrol.2021.126095
22. How to Choose the Most Proper Representative Climate Model Over a Study Region? a Case Study of Precipitation Simulations in Ireland with NEX-GDDP-CMIP6 Data S. Moradian et al. 10.1007/s11269-023-03665-z
23. Bias Correction of Surface Air Temperature and Precipitation in Cordex East Asia Simulation: What Should We Do When Applying Bias Correction? J. Chen et al. 10.2139/ssrn.4092894
24. Enhanced performance of CMIP6 climate models in simulating historical precipitation in the Florida Peninsula H. Wang & T. Asefa 10.1002/joc.8479
25. Sensitivity of future continental United States water deficit projections to general circulation models, the evapotranspiration estimation method, and the greenhouse gas emission scenario S. Chang et al. 10.5194/hess-20-3245-2016
26. Record-Breaking heavy rainfall around Henan Province in 2021 and future projection of extreme conditions under climate change R. Duan et al. 10.1016/j.jhydrol.2023.130102
27. Improving the Spring Air Temperature Forecast Skills of BCC_CSM1.1 (m) by Spatial Disaggregation and Bias Correction: Importance of Trend Correction C. Duan et al. 10.3390/atmos12091143
28. Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system D. Kim et al. 10.5194/hess-23-1145-2019
29. Bias correction of surface air temperature and precipitation in CORDEX East Asia simulation: What should we do when applying bias correction? J. Chen et al. 10.1016/j.atmosres.2022.106439
30. Statistical Downscaling Multimodel Forecasts for Seasonal Precipitation and Surface Temperature over the Southeastern United States D. Tian et al. 10.1175/JCLI-D-13-00481.1
31. Development of a climate‐informed analog downscaling method for Asian regions S. Kim et al. 10.1002/joc.7582
32. Embedding spatial variability in rainfall field reconstruction L. Duffaut Espinosa et al. 10.1080/01431161.2018.1433894
33. Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change J. Heo et al. 10.3390/w11071475
34. GCM‐related uncertainty in forecasting irrigation and design water requirement for paddy rice fields S. Lee et al. 10.1002/joc.5244
35. A rank-based approach for correcting systematic biases in spatial disaggregation of coarse-scale climate simulations J. Nahar et al. 10.1016/j.jhydrol.2017.05.045
36. Evaluating the aptitude of global climate models fromCMIP5andCMIP6in capturing the historical observations of monsoon rainfall over Sudan from 1946 to 2005 M. Hamadalnel et al. 10.1002/joc.7387
37. Keeping Us Honest: Examining Climate States and Transition Probabilities of Precipitation Projections in General Circulation Models T. Panaou et al. 10.1061/(ASCE)WR.1943-5452.0000910
38. Projected Heat Waves in Ecuador under Climate Change: Insights from HadGEM-RegCM4 Coupled Model D. Portalanza et al. 10.3390/earth5010005
39. 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
40. Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin S. Moradian et al. 10.1007/s11269-022-03272-4
41. Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections M. Shin et al. 10.1002/hyp.10948
42. 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
43. Coupling forecast calibration and data‐driven downscaling for generating reliable, high‐resolution, multivariate seasonal climate forecast ensembles at multiple sites A. Schepen et al. 10.1002/joc.6346
44. Seasonal Prediction of Regional Reference Evapotranspiration Based on Climate Forecast System Version 2 D. Tian et al. 10.1175/JHM-D-13-087.1
45. A tale of integrated regional water supply planning: Meshing socio-economic, policy, governance, and sustainability desires together T. Asefa et al. 10.1016/j.jhydrol.2014.05.047
46. Uncertainty in Regional Climate Change Impact Assessment using Bias-Correction Technique for Future Climate Scenarios S. Hwang et al. 10.5389/KSAE.2013.55.4.095
47. Intercomparison of multiple statistical downscaling methods: multi-criteria model selection for South Korea H. Eum et al. 10.1007/s00477-016-1312-9
48. Co-producing actionable science for water utilities J. Vogel et al. 10.1016/j.cliser.2016.06.003