14 citations as recorded by crossref.

1. On the implementation of post-processing of runoff forecast ensembles J. Skøien et al. https://doi.org/10.1175/JHM-D-21-0008.1
2. Enhanced identification of watershed hydrological extremes using an improved drought index incorporating hydrological non-stationarity X. Pang et al. https://doi.org/10.1016/j.jhydrol.2026.135910
3. Improving the structure of a hydrological model to forecast catchment response to intense rainfall P. Astagneau et al. https://doi.org/10.1080/27678490.2024.2341027
4. Uncertainty estimation with deep learning for rainfall–runoff modeling D. Klotz et al. https://doi.org/10.5194/hess-26-1673-2022
5. Reliability of Ensemble Climatological Forecasts Z. Huang et al. https://doi.org/10.1029/2023WR034942
6. Improving the Reliability of Sub‐Seasonal Forecasts of High and Low Flows by Using a Flow‐Dependent Nonparametric Model D. McInerney et al. https://doi.org/10.1029/2020WR029317
7. Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin D. Ba et al. https://doi.org/10.2478/johh-2023-0044
8. Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction D. De León Pérez et al. https://doi.org/10.3390/w17202932
9. A parsimonious post-processor for uncertainty evaluation of ensemble precipitation forecasts: an application to quantitative precipitation forecasts for civil protection purposes D. Biondi et al. https://doi.org/10.2166/nh.2021.045
10. Vers la généralisation de la prévision hydrologique probabiliste au sein du réseau Vigicrues : estimation, évaluation et communication A. Belleudy et al. https://doi.org/10.1080/27678490.2024.2374079
11. Exploring future water resources and uses considering water demand scenarios and climate change for the French Sèvre Nantaise basin L. Santos et al. https://doi.org/10.5194/hess-30-1915-2026
12. Postprocessing continental-scale, medium-range ensemble streamflow forecasts in South America using Ensemble Model Output Statistics and Ensemble Copula Coupling V. Siqueira et al. https://doi.org/10.1016/j.jhydrol.2021.126520
13. Hybrid causal multivariate linear modelling (H_CMLM) method for the analysis of temporal rivers runoff J. Molina et al. https://doi.org/10.1016/j.jhydrol.2021.126501
14. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al. https://doi.org/10.1016/j.jhydrol.2023.129347