15 citations as recorded by crossref.

1. Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system A. Newman et al. 10.5194/hess-25-5603-2021
2. Confidence intervals for a spatially generalized, continuous simulation flood frequency model for Great Britain R. Lamb & A. Kay 10.1029/2003WR002428
3. Design soil moisture estimation by comparing continuous and storm‐based rainfall‐runoff modeling S. Camici et al. 10.1029/2010WR009298
4. A space‐time Neyman‐Scott model of rainfall: Empirical analysis of extremes P. Cowpertwait et al. 10.1029/2001WR000709
5. End‐to‐end flood risk assessment: A coupled model cascade with uncertainty estimation H. McMillan & J. Brasington 10.1029/2007WR005995
6. Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis I. Flores-Montoya et al. 10.3390/w8060225
7. Physically-based extreme flood frequency with stochastic storm transposition and paleoflood data on large watersheds J. England et al. 10.1016/j.jhydrol.2013.12.021
8. Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis K. Breinl et al. 10.1016/j.jhydrol.2021.126759
9. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling L. Gu et al. 10.1016/j.jhydrol.2022.128920
10. Can continuous streamflow data support flood frequency analysis? An alternative to the partial duration series approach P. Claps & F. Laio 10.1029/2002WR001868
11. Have applications of continuous rainfall–runoff simulation realized the vision for process‐based flood frequency analysis? R. Lamb et al. 10.1002/hyp.10882
12. Extreme snowmelt floods: Frequency assessment and analysis of genesis on the basis of the dynamic-stochastic approach A. Gelfan 10.1016/j.jhydrol.2010.04.031
13. Application of a model-based rainfall-runoff database as efficient tool for flood risk management L. Brocca et al. 10.5194/hess-17-3159-2013
14. Sensitivity analysis of SCHADEX extreme flood estimations to observed hydrometeorological variability P. Brigode et al. 10.1002/2013WR013687
15. Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila 10.1016/j.scitotenv.2023.169646