21 citations as recorded by crossref.

1. Modeling the effects of climatic and land use changes on phytoplankton and water quality of the largest Turkish freshwater lake: Lake Beyşehir T. Bucak et al. 10.1016/j.scitotenv.2017.11.258
2. Simulation of future climate under changing temporal covariance structures W. Leeds et al. 10.5194/ascmo-1-1-2015
3. Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al. 10.1029/2019EF001198
4. Towards Reducing Climate Change Impact Assessment Process Uncertainty A. Gaur & S. Simonovic 10.1007/s40710-015-0070-x
5. Impact of climate change on the vulnerability of drinking water intakes in a northern region B. Leveque et al. 10.1016/j.scs.2020.102656
6. On projected hydrological scenarios under the influence of bias-corrected climatic variables and LULC S. Sahoo et al. 10.1016/j.ecolind.2019.105440
7. Climate change impact on river flow extremes in the Upper Blue Nile River basin H. Meresa & M. Gatachew 10.2166/wcc.2018.154
8. Fidelity of reanalysis datasets in floodplain mapping: Investigating performance at inundation level over large regions M. Mohanty & S. Simonovic 10.1016/j.jhydrol.2020.125757
9. Future water availability in the largest freshwater Mediterranean lake is at great risk as evidenced from simulations with the SWAT model T. Bucak et al. 10.1016/j.scitotenv.2016.12.149
10. Twenty-first century projections of extreme precipitations in the Plata Basin V. Barros et al. 10.1080/15715124.2013.819358
11. Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 V. Mishra et al. 10.1038/s41597-020-00681-1
12. Global Climate Model Selection for Analysis of Uncertainty in Climate Change Impact Assessments of Hydro-Climatic Extremes P. Breach et al. 10.4236/ajcc.2016.54036
13. TIN‐Copula bias‐correction method for model‐derived maximum temperature in the MENA region G. Lazoglou et al. 10.1002/joc.7364
14. Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models Z. Yuan et al. 10.3390/ijerph15112491
15. Remaining error sources in bias-corrected climate model outputs J. Chen et al. 10.1007/s10584-020-02744-z
16. Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed, Idaho J. Kim & J. Ryu 10.1111/1752-1688.12712
17. Using Natural Variability as a Baseline to Evaluate the Performance of Bias Correction Methods in Hydrological Climate Change Impact Studies J. Chen et al. 10.1175/JHM-D-15-0099.1
18. Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions I. Pechlivanidis et al. 10.1007/s10584-016-1723-0
19. 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
20. Hydrological reanalysis across the 20th century: A case study of the Amazon Basin S. Wongchuig et al. 10.1016/j.jhydrol.2019.01.025
21. Evaluation of a New Statistical Method—TIN-Copula–for the Bias Correction of Climate Models’ Extreme Parameters G. Lazoglou et al. 10.3390/atmos11030243