49 citations as recorded by crossref.

1. Assessing time, cost and quality trade-offs in forecast-based action for floods K. Bischiniotis et al. https://doi.org/10.1016/j.ijdrr.2019.101252
2. On the need of ensemble flood forecast in India J. Nanditha & V. Mishra https://doi.org/10.1016/j.wasec.2021.100086
3. Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach S. Monhart et al. https://doi.org/10.5194/hess-23-493-2019
4. Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency D. Lucatero et al. https://doi.org/10.5194/hess-22-3601-2018
5. Impact of Ensemble Size on Forecasting Occurrence of Rainfall Using TIGGE Precipitation Forecasts M. Khan et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000864
6. A tree-ring reconstruction of East Anglian (UK) hydroclimate variability over the last millennium R. Cooper et al. https://doi.org/10.1007/s00382-012-1328-x
7. Can Lagrangian Extrapolation of Radar Fields Be Used for Precipitation Nowcasting over Complex Alpine Orography? P. Mandapaka et al. https://doi.org/10.1175/WAF-D-11-00050.1
8. Real-time demonstration of hydrological ensemble forecasts in map d-phase R. Ranzi et al. https://doi.org/10.1051/lhb/2009061
9. Challenges in communicating and using ensembles in operational flood forecasting D. Demeritt et al. https://doi.org/10.1002/met.194
10. Evaluation of a probabilistic hydrometeorological forecast system S. Jaun & B. Ahrens https://doi.org/10.5194/hess-13-1031-2009
11. On the Weighting of Multimodel Ensembles in Seasonal and Short-Range Weather Forecasting S. Casanova & B. Ahrens https://doi.org/10.1175/2009MWR2893.1
12. Ensemble streamflow forecasting over a cascade reservoir catchment with integrated hydrometeorological modeling and machine learning J. Liu et al. https://doi.org/10.5194/hess-26-265-2022
13. Cloud‐resolving ensemble simulations of the August 2005 Alpine flood C. Hohenegger et al. https://doi.org/10.1002/qj.252
14. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. https://doi.org/10.1002/wat2.1574
15. Initializing a regional climate model with satellite-derived soil moisture B. Bisselink et al. https://doi.org/10.1029/2010JD014534
16. The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems A. Rossa et al. https://doi.org/10.1016/j.atmosres.2010.11.016
17. Simulations of the 2005, 1910, and 1876 Vb cyclones over the Alps – sensitivity to model physics and cyclonic moisture flux P. Stucki et al. https://doi.org/10.5194/nhess-20-35-2020
18. Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections N. Potter et al. https://doi.org/10.5194/hess-24-2963-2020
19. Does global warming favour the occurrence of extreme floods in European Alps? First evidences from a NW Alps proglacial lake sediment record B. Wilhelm et al. https://doi.org/10.1007/s10584-011-0376-2
20. Impact of Ensemble Size on TIGGE Precipitation Forecasts: An End-User Perspective M. Khan et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001025
21. Dendrohydrological Reconstructions Based on Tree-Ring Width (TRW) Chronologies of Narrow-Leaved Ash in the Sava River Basin (Croatia) D. Trlin et al. https://doi.org/10.3390/su13042408
22. An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios N. Addor et al. https://doi.org/10.5194/hess-15-2327-2011
23. Effects of temperature on flood forecasting: analysis of an operative case study in Alpine basins A. Ceppi et al. https://doi.org/10.5194/nhess-13-1051-2013
24. European floods during the winter 1783/1784: scenarios of an extreme event during the ‘Little Ice Age’ R. Brázdil et al. https://doi.org/10.1007/s00704-009-0170-5
25. Hydrological ensemble forecasting in mesoscale catchments: Sensitivity to initial conditions and value of reforecasts F. Fundel & M. Zappa https://doi.org/10.1029/2010WR009996
26. The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. https://doi.org/10.5194/hess-17-3853-2013
27. Uncertainty propagation for flood forecasting in the Alps: different views and impacts from MAP D-PHASE M. Rotach et al. https://doi.org/10.5194/nhess-12-2439-2012
28. Fluctuations of floods of the River Morava (Czech Republic) in the 1691–2009 period: interactions of natural and anthropogenic factors R. Brázdil et al. https://doi.org/10.1080/02626667.2011.564175
29. Hydrological Climate-Impact Projections for the Rhine River: GCM–RCM Uncertainty and Separate Temperature and Precipitation Effects* T. Bosshard et al. https://doi.org/10.1175/JHM-D-12-098.1
30. Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System G. Bürger et al. https://doi.org/10.1029/2009WR007779
31. An evaluation of the Canadian global meteorological ensemble prediction system for short-term hydrological forecasting J. Velázquez et al. https://doi.org/10.5194/hess-13-2221-2009
32. Floods and floodplain changes of the River Morava, the Strážnické Pomoraví region (Czech Republic) over the past 130 years R. Brázdil et al. https://doi.org/10.1080/02626667.2011.608359
33. Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River N. Dong et al. https://doi.org/10.5194/hess-29-2023-2025
34. Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures J. Velázquez et al. https://doi.org/10.5194/adgeo-29-33-2011
35. Ensemble flood forecasting: A review H. Cloke & F. Pappenberger https://doi.org/10.1016/j.jhydrol.2009.06.005
36. Propagation of uncertainty from observing systems and NWP into hydrological models: COST‐731 Working Group 2 M. Zappa et al. https://doi.org/10.1002/asl.248
37. Performance and reliability of multimodel hydrological ensemble simulations based on seventeen lumped models and a thousand catchments J. Velázquez et al. https://doi.org/10.5194/hess-14-2303-2010
38. MAP D‐PHASE: real‐time demonstration of hydrological ensemble prediction systems M. Zappa et al. https://doi.org/10.1002/asl.183
39. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al. https://doi.org/10.1016/j.envsoft.2009.04.001
40. Improving the temporal transposability of lumped hydrological models on twenty diversified U.S. watersheds G. Seiller et al. https://doi.org/10.1016/j.ejrh.2015.02.012
41. IFKIS-Hydro: an early warning and information system for floods and debris flows H. Romang et al. https://doi.org/10.1007/s11069-010-9507-8
42. Improved interpolation of meteorological forcings for hydrologic applications in a Swiss Alpine region C. Tobin et al. https://doi.org/10.1016/j.jhydrol.2011.02.010
43. Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 2: Generalization in time and space D. Brochero et al. https://doi.org/10.5194/hess-15-3327-2011
44. Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker S. Matte et al. https://doi.org/10.5194/hess-21-2967-2017
45. Superposition of three sources of uncertainties in operational flood forecasting chains M. Zappa et al. https://doi.org/10.1016/j.atmosres.2010.12.005
46. KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study P. Ronco et al. https://doi.org/10.5194/hess-19-1561-2015
47. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
48. A ‘Peak‐Box’ approach for supporting interpretation and verification of operational ensemble peak‐flow forecasts M. Zappa et al. https://doi.org/10.1002/hyp.9521
49. A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy R. Ferretti et al. https://doi.org/10.5194/hess-24-3135-2020