17 citations as recorded by crossref.

1. Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes E. Robinson & D. Clark https://doi.org/10.5194/hess-24-1763-2020
2. Calibration analysis for water storage variability of the global hydrological model WGHM S. Werth & A. Güntner https://doi.org/10.5194/hess-14-59-2010
3. Modelling global water stress of the recent past: on the relative importance of trends in water demand and climate variability Y. Wada et al. https://doi.org/10.5194/hess-15-3785-2011
4. Lake level change and total water discharge in East Africa Rift Valley from satellite-based observations A. Hassan & S. Jin https://doi.org/10.1016/j.gloplacha.2014.03.005
5. Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups Y. Chen et al. https://doi.org/10.5194/hess-27-1929-2023
6. Temporal extension of meteorological records for hydrological modelling of Lake Chad Basin (Africa) using satellite rainfall data and reanalysis datasets S. Bastola & D. François https://doi.org/10.1002/met.257
7. Nonsustainable groundwater sustaining irrigation: A global assessment Y. Wada et al. https://doi.org/10.1029/2011WR010562
8. Significant uncertainty in global scale hydrological modeling from precipitation data errors F. Sperna Weiland et al. https://doi.org/10.1016/j.jhydrol.2015.08.061
9. Real-Time Geospatial Data Handling and Forecasting: Examples From Delft-FEWS Forecasting Platform/System A. Weerts et al. https://doi.org/10.1109/JSTARS.2010.2046882
10. The ability of a GCM-forced hydrological model to reproduce global discharge variability F. Sperna Weiland et al. https://doi.org/10.5194/hess-14-1595-2010
11. Monitoring groundwater variation by satellite and implications for in-situ gravity measurements Y. Fukuda et al. https://doi.org/10.1016/j.scitotenv.2008.05.018
12. Model performance and parameter behavior for varying time aggregations and evaluation criteria in the WASMOD‐M global water balance model E. Widén‐Nilsson et al. https://doi.org/10.1029/2007WR006695
13. On the Suitability of GCM Runoff Fields for River Discharge Modeling: A Case Study Using Model Output from HadGEM2 and ECHAM5 F. Weiland et al. https://doi.org/10.1175/JHM-D-10-05011.1
14. A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. https://doi.org/10.1016/j.rse.2023.113685
15. Assessment of the potential forecasting skill of a global hydrological model in reproducing the occurrence of monthly flow extremes N. Candogan Yossef et al. https://doi.org/10.5194/hess-16-4233-2012
16. Calibration and evaluation of a semi-distributed watershed model of Sub-Saharan Africa using GRACE data H. Xie et al. https://doi.org/10.5194/hess-16-3083-2012
17. A Data-Driven Method for Enhancing Spatial Resolution in Estimating Terrestrial Water Storage Changes From Satellite Gravimetry W. Wang et al. https://doi.org/10.1109/LGRS.2024.3397816