23 citations as recorded by crossref.

1. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
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6. Ensemble forecasting system for the management of the Senegal River discharge: application upstream the Manantali dam D. Ndione et al. 10.1007/s13201-020-01199-y
7. Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia D. Ratri et al. 10.1016/j.ejrh.2022.101305
8. Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales C. Han et al. 10.3390/w15132472
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10. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. 10.5194/hess-26-197-2022
11. Seasonal hydroclimatic ensemble forecasts anticipate nutrient and suspended sediment loads using a dynamical-statistical approach S. Sharma et al. 10.1088/1748-9326/ab2c26
12. Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region G. Ghimire et al. 10.3390/forecast2030013
13. Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales S. Sharma et al. 10.1029/2018WR023197
14. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges B. Alizadeh et al. 10.1175/JHM-D-19-0164.1
15. Quantifying the contributions of hydrological pre-processor, post-processor, and data assimilator to ensemble streamflow prediction skill J. Zhang et al. 10.1016/j.jhydrol.2024.132611
16. Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda 10.3390/w13091224
17. Evaluation of the Impact of Multi-Source Uncertainties on Meteorological and Hydrological Ensemble Forecasting Z. Shu et al. 10.1016/j.eng.2022.06.007
18. Exploring the role of the long short‐term memory model in improving multi‐step ahead reservoir inflow forecasting X. Luo et al. 10.1111/jfr3.12854
19. Climate Change Impacts on Local Flood Risks in the U.S. Northeast: A Case Study on the Connecticut and Merrimack River Basins R. Siddique & R. Palmer 10.1111/1752-1688.12886
20. Pre- and postprocessing flood forecasts using Bayesian model averaging T. Hegdahl et al. 10.2166/nh.2023.024
21. Improve streamflow simulations by combining machine learning pre-processing and post-processing Y. Zhang et al. 10.1016/j.jhydrol.2025.132904
22. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. 10.5194/hess-25-5805-2021
23. Impacts of Global Warming of 1.5, 2.0 and 3.0 °C on Hydrologic Regimes in the Northeastern U.S. R. Siddique et al. 10.3390/cli9010009