14 citations as recorded by crossref.

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2. A methodological framework for the evaluation of short-range flash-flood hydrometeorological forecasts at the event scale M. Charpentier-Noyer et al. 10.5194/nhess-23-2001-2023
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4. Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
5. Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable? I. Malik et al. 10.1088/2752-5295/acfa1a
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7. 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
8. Improve streamflow simulations by combining machine learning pre-processing and post-processing Y. Zhang et al. 10.1016/j.jhydrol.2025.132904
9. Improving Probabilistic Quantitative Precipitation Forecasts Using Short Training Data through Artificial Neural Networks M. Ghazvinian et al. 10.1175/JHM-D-22-0021.1
10. Subbasin Spatial Scale Effects on Hydrological Model Prediction Uncertainty of Extreme Stream Flows in the Omo Gibe River Basin, Ethiopia B. Gebeyehu et al. 10.3390/rs15030611
11. Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River N. Dong et al. 10.5194/hess-29-2023-2025
12. Combining large-scale and regional hydrological forecasts using simple methods N. Fontaine et al. 10.1080/07011784.2023.2265893
13. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al. 10.1080/02626667.2025.2490780
14. Stochastic Watershed Model Ensembles for Long‐Range Planning: Verification and Validation G. Shabestanipour et al. 10.1029/2022WR032201