24 citations as recorded by crossref.

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3. A novel framework to determine the usefulness of satellite-based soil moisture data in streamflow prediction using dynamic Budyko model A. Nayak et al. https://doi.org/10.1016/j.jhydrol.2020.125849
4. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al. https://doi.org/10.1016/j.jhydrol.2024.132119
5. A back-fitting algorithm to improve real-time flood forecasting X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2018.04.051
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7. Changes in flood-associated rainfall losses under climate change M. Ho et al. https://doi.org/10.1016/j.jhydrol.2023.129950
8. Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al. https://doi.org/10.1016/j.jhydrol.2020.125828
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11. Implications of event-based loss model structure on simulating large floods D. O'Shea et al. https://doi.org/10.1016/j.jhydrol.2021.126008
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15. Comparison of SCS and Green-Ampt Distributed Models for Flood Modelling in a Small Cultivated Catchment in Senegal C. Bouvier et al. https://doi.org/10.3390/geosciences8040122
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19. Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil K. Jiménez et al. https://doi.org/10.1590/2318-0331.241920180031
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23. Challenges in flood modeling over data-scarce regions: how to exploit globally available soil moisture products to estimate antecedent soil wetness conditions in Morocco E. El Khalki et al. https://doi.org/10.5194/nhess-20-2591-2020
24. Operational tools to help stakeholders to protect and alert municipalities facing uncertainties and changes in karst flash floods V. Borrell Estupina et al. https://doi.org/10.5194/piahs-370-201-2015