26 citations as recorded by crossref.

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2. Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001983
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5. Sensitivity of hydrological ensemble forecasts to different sources and temporal resolutions of probabilistic quantitative precipitation forecasts: flash flood case studies in the Cévennes‐Vivarais region (Southern France) R. Marty et al. 10.1002/hyp.9543
6. Assimilation of stream discharge for flood forecasting: Updating a semidistributed model with an integrated data assimilation scheme Y. Li et al. 10.1002/2014WR016667
7. Coupling duo-assimilation to hydrological model to enhance flood forecasting D. Dang & T. Anh 10.1080/23249676.2023.2201475
8. Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil F. Fan et al. 10.1016/j.ejrh.2015.05.012
9. Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
10. Evaluation of Model Parameter Convergence when Using Data Assimilation for Soil Moisture Estimation G. Dumedah & J. Walker 10.1175/JHM-D-12-0175.1
11. Calibration of a distributed snow model using MODIS snow covered area data K. Franz & L. Karsten 10.1016/j.jhydrol.2013.04.026
12. Potential Changes in Runoff of California’s Major Water Supply Watersheds in the 21st Century M. He et al. 10.3390/w11081651
13. Hydro Genome Mapping: An Approach for the Diagnosis, Evaluation and Improving Prediction Capability of Hydro-Meteorological Models G. Dumedah 10.1007/s11269-019-02336-2
14. Assimilating snow observations to snow interception process simulations Z. Lv & J. Pomeroy 10.1002/hyp.13720
15. Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
16. Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model D. Dziubanski & K. Franz 10.1016/j.jhydrol.2016.05.046
17. Assessment of SWE data assimilation for ensemble streamflow predictions K. Franz et al. 10.1016/j.jhydrol.2014.07.008
18. The Science of NOAA's Operational Hydrologic Ensemble Forecast Service J. Demargne et al. 10.1175/BAMS-D-12-00081.1
19. An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting Y. Li et al. 10.1016/j.jhydrol.2014.08.009
20. Combined assimilation of streamflow and snow water equivalent for mid-term ensemble streamflow forecasts in snow-dominated regions J. Bergeron et al. 10.5194/hess-20-4375-2016
21. Assessment of model behavior and acceptable forcing data uncertainty in the context of land surface soil moisture estimation G. Dumedah & J. Walker 10.1016/j.advwatres.2017.01.001
22. Verification of Ensemble Water Supply Forecasts for Sierra Nevada Watersheds M. He et al. 10.3390/hydrology3040035
23. A Novel Modeling Framework for Computationally Efficient and Accurate Real‐Time Ensemble Flood Forecasting With Uncertainty Quantification V. Tran et al. 10.1029/2019WR025727
24. Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
25. Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States C. Huang et al. 10.5194/hess-21-635-2017
26. Assimilation of Remotely Sensed Soil Moisture and Snow Depth Retrievals for Drought Estimation S. Kumar et al. 10.1175/JHM-D-13-0132.1