16 citations as recorded by crossref.

1. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
2. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
3. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al. 10.1111/jfr3.12895
4. Optimising ensemble streamflow predictions with bias correction and data assimilation techniques M. Tanguy et al. 10.5194/hess-29-1587-2025
5. Invited perspectives: The ECMWF strategy 2021–2030 challenges in the area of natural hazards F. Pappenberger et al. 10.5194/nhess-21-2163-2021
6. Identifying community values related to heat: recommendations for forecast and health risk communication K. Lambrecht et al. 10.5194/gc-4-517-2021
7. Editorial: Geoscience communication – planning to make it publishable J. Hillier et al. 10.5194/gc-4-493-2021
8. Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times S. Donegan et al. 10.5194/hess-25-4159-2021
9. Recommendations for increasing the reach and effectiveness of heat risk education and warning messaging K. VanderMolen et al. 10.1016/j.ijdrr.2022.103288
10. What is the most useful approach for forecasting hydrological extremes during El Niño? R. Emerton et al. 10.1088/2515-7620/ab114e
11. Making a Water Data System Responsive to Information Needs of Decision Makers A. Cantor et al. 10.3389/fclim.2021.761444
12. Enhanced surface water flood forecasts: User‐led development and testing C. Birch et al. 10.1111/jfr3.12691
13. UK National Report 2015–2019 10.1080/00087041.2019.1642005
14. Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning H. Weierbach et al. 10.3390/w14071032
15. “Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England L. Arnal et al. 10.5194/gc-3-203-2020
16. airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023