26 citations as recorded by crossref.

1. Statistical Postprocessing of High-Resolution Regional Climate Model Output P. Mendoza et al. 10.1175/MWR-D-14-00159.1
2. Towards Reducing Climate Change Impact Assessment Process Uncertainty A. Gaur & S. Simonovic 10.1007/s40710-015-0070-x
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4. Selection of climate simulations for climate change impact studies: case study of the Souss watershed, Morocco M. Meliho et al. 10.1007/s00704-025-05353-x
5. Assessment of an analogue downscaling method for modelling climate change impacts on runoff J. Teng et al. 10.1016/j.jhydrol.2012.09.024
6. Constraining Climate Model Projections of Regional Precipitation Change B. Zhang & B. Soden 10.1029/2019GL083926
7. Correcting for model changes in statistical postprocessing – an approach based on response theory J. Demaeyer & S. Vannitsem 10.5194/npg-27-307-2020
8. Evaluating the Time-Invariance Hypothesis of Climate Model Bias Correction: Implications for Hydrological Impact Studies J. Velázquez et al. 10.1175/JHM-D-14-0159.1
9. Improving the Reliability and Added Value of Dynamical Downscaling via Correction of Large‐Scale Errors: A Norwegian Perspective M. Pontoppidan et al. 10.1029/2018JD028372
10. Assessment of calibration assumptions under strong climate changes B. Van Schaeybroeck & S. Vannitsem 10.1002/2016GL067721
11. Projected Changes to Extreme Runoff and Precipitation Events From a Downscaled Simulation Over the Western United States M. Wrzesien & T. Pavelsky 10.3389/feart.2019.00355
12. Downscaling fire weather extremes from historical and projected climate models P. Jain et al. 10.1007/s10584-020-02865-5
13. HESS Opinions "Should we apply bias correction to global and regional climate model data?" U. Ehret et al. 10.5194/hess-16-3391-2012
14. Climate Change in the Mediterranean Basin (Part II): A Review of Challenges and Uncertainties in Climate Change Modeling and Impact Analyses L. Noto et al. 10.1007/s11269-023-03444-w
15. Multivariate bias corrections of mechanistic water quality model predictions D. Libera & A. Sankarasubramanian 10.1016/j.jhydrol.2018.07.043
16. A multi-perspective approach for selecting CMIP6 scenarios to project climate change impacts on glacio-hydrology with a case study in Upper Indus river basin M. Shafeeque & Y. Luo 10.1016/j.jhydrol.2021.126466
17. Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
18. Bias Correcting Climate Change Simulations - a Critical Review D. Maraun 10.1007/s40641-016-0050-x
19. Hydrological impacts of climate change on small ungauged catchments – results from a global climate model–regional climate model–hydrologic model chain A. Tsegaw et al. 10.5194/nhess-20-2133-2020
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21. How to assess climate change impact models: uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC) J. Romero-Cuellar & F. Francés 10.1080/02626667.2023.2231437
22. Evolution of urban heat wave intensity for the Brussels Capital Region in the ARPEGE-Climat A1B scenario R. Hamdi et al. 10.1016/j.uclim.2016.08.001
23. The Upper Tail of Precipitation in Convection‐Permitting Regional Climate Models and Their Utility in Nonstationary Rainfall and Flood Frequency Analysis G. Yu et al. 10.1029/2020EF001613
24. Low-frequency variability and heat transport in a low-order nonlinear coupled ocean–atmosphere model S. Vannitsem et al. 10.1016/j.physd.2015.07.006
25. Selecting and Downscaling a Set of Climate Models for Projecting Climatic Change for Impact Assessment in the Upper Indus Basin (UIB) A. Khan & M. Koch 10.3390/cli6040089
26. Comparative analysis of bias correction techniques for future climate assessment using CMIP6 hydrological variables for the Indian subcontinent M. Shah et al. 10.1007/s11600-024-01378-4