93 citations as recorded by crossref.

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45. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. https://doi.org/10.1029/2019WR026979
46. Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach M. Cassagnole et al. https://doi.org/10.5194/hess-25-1033-2021
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50. Application of weather post-processing methods for operational ensemble hydrological forecasting on multiple catchments in Canada F. Aguilar Andrade et al. https://doi.org/10.1016/j.jhydrol.2024.131861
51. Comparison of Deterministic and Probabilistic Variational Data Assimilation Methods Using Snow and Streamflow Data Coupled in HBV Model for Upper Euphrates Basin G. Uysal et al. https://doi.org/10.3390/geosciences13030089
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55. Improving multi-model ensemble streamflow forecasts by combining lumped, distributed and deep learning hydrological models W. Armstrong et al. https://doi.org/10.1080/02626667.2025.2471430
56. Accounting for three sources of uncertainty in ensemble hydrological forecasting A. Thiboult et al. https://doi.org/10.5194/hess-20-1809-2016
57. Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.132549
58. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. https://doi.org/10.5194/hess-26-197-2022
59. 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
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