13 citations as recorded by crossref.

1. A practical approach to the assessment of probabilistic flow predictions S. Liguori & M. Rico‐Ramirez https://doi.org/10.1002/hyp.9468
2. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
3. Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil F. Fan et al. https://doi.org/10.1016/j.ejrh.2015.05.012
4. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al. https://doi.org/10.1016/j.jhydrol.2015.01.024
5. Evaluation of the Consistency of ECMWF Ensemble Forecasts D. Richardson et al. https://doi.org/10.1029/2020GL087934
6. A regional assessment of the operational National Water Model in the San Francisco Bay area for the 2018–2019 water year J. Kim et al. https://doi.org/10.1016/j.jhydrol.2025.133362
7. Prediction of Sports Performance Combined with Deep Learning Model and Analysis of Influencing Factors H. ZhaoriGetu & H. Che https://doi.org/10.1155/2022/4082906
8. Evaluation of Ensemble Inflow Forecasts for Reservoir Management in Flood Situations J. Mendes & R. Maia https://doi.org/10.3390/hydrology10020028
9. <i>Preface</i> Towards practical applications in ensemble hydro-meteorological forecasting Y. He et al. https://doi.org/10.5194/adgeo-29-119-2011
10. Analysis of Characteristics of the Forecast Jump in the NCEP Ensemble Forecast Products X. Zhang et al. https://doi.org/10.4236/acs.2017.71011
11. Addressing the gap: advancements in flow forecasting systems for small mountainous catchments M. Fagundes et al. https://doi.org/10.1007/s11069-024-06407-5
12. HESS Opinions "On forecast (in)consistency in a hydro-meteorological chain: curse or blessing?" F. Pappenberger et al. https://doi.org/10.5194/hess-15-2391-2011
13. Assessing the predictability of Medicanes in ECMWF ensemble forecasts using an object‐based approach E. Di Muzio et al. https://doi.org/10.1002/qj.3489