26 citations as recorded by crossref.

1. Hydrological aspects of the Mesoscale Alpine Programme: findings from field experiments and simulations R. Ranzi et al. 10.1002/qj.68
2. Real-time demonstration of hydrological ensemble forecasts in map d-phase R. Ranzi et al. 10.1051/lhb/2009061
3. Radar-driven high-resolution hydro-meteorological forecasts of the 26 September 2007 Venice flash flood A. Rossa et al. 10.1016/j.jhydrol.2010.08.035
4. Impact of Climate Change on Hydrology and Hydrologic Extremes of Upper Blue Nile River Basin T. Tariku et al. 10.1061/(ASCE)WR.1943-5452.0001321
5. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. 10.1016/j.jhydrol.2016.02.019
6. Probabilistic Flood Forecasting with a Limited-Area Ensemble Prediction System: Selected Case Studies M. Verbunt et al. 10.1175/JHM594.1
7. Integrating Logistical and Technical Criteria into a Multiteam, Competitive Watershed Model Ranking Procedure J. Cunderlik et al. 10.1061/(ASCE)HE.1943-5584.0000670
8. Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin M. Verbunt et al. 10.1016/j.jhydrol.2005.09.036
9. Applicability of reanalysis data in calibrating a hydrological model in a data-scarce mountainous watershed M. Kavya et al. 10.1080/15715124.2024.2445236
10. A groundwater separation study in boreal wetland terrain: the WATFLOOD hydrological model compared with stable isotope tracers T. Stadnyk et al. 10.1080/10256010500053730
11. Model Assessments of Precipitation with a Unified Regional Circulation Rainfall and Hydrological Watershed Model D. Shih et al. 10.1061/(ASCE)HE.1943-5584.0000414
12. Potential of a probabilistic hydrometeorological forecasting approach for the 28 September 2012 extreme flash flood in Murcia, Spain A. Amengual et al. 10.1016/j.atmosres.2015.06.012
13. Inclusion of potential vorticity uncertainties into a hydrometeorological forecasting chain: application to a medium size basin of Mediterranean Spain A. Amengual et al. 10.5194/hess-13-793-2009
14. A Numerical Study of the 1996 Saguenay Flood Cyclone: Effect of Assimilation of Precipitation Data on Quantitative Precipitation Forecasts B. Nagarajan et al. 10.1175/MWR3128.1
15. On the boundary‐layer structure over highly complex terrain: Key findings from MAP M. Rotach & D. Zardi 10.1002/qj.71
16. Improving our understanding of flood forecasting using earlier hydro-meteorological intelligence D. Shih et al. 10.1016/j.jhydrol.2014.02.059
17. Cloud‐resolving ensemble simulations of the August 2005 Alpine flood C. Hohenegger et al. 10.1002/qj.252
18. The sequence of heavy precipitation and flash flooding of 12 and 13 September 2019 in eastern Spain. Part II: A hydro-meteorological predictability analysis based on convection-permitting ensemble strategies A. Amengual et al. 10.1175/JHM-D-20-0181.1
19. The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems A. Rossa et al. 10.1016/j.atmosres.2010.11.016
20. Comparison of wind speeds obtained using numerical weather prediction models and topographic exposure indices for predicting windthrow in mountainous terrain S. Mitchell et al. 10.1016/j.foreco.2007.07.037
21. Use of Integrated Observations to Improve 0-36 h Flood Forecasting: Development and Application of a Coupled Atmosphere-Hydrology System in the Nanpan River Basin, China L. WANG et al. 10.2151/jmsj.2012-C09
22. Current awareness 10.1002/hyp.5826
23. Coupling high-resolution precipitation forecasts and discharge predictions to evaluate the impact of spatial uncertainty in numerical weather prediction model outputs T. Diomede et al. 10.1007/s00703-008-0003-6
24. Attribution of Flood Forecasting Errors From a Multi‐Model Perspective in Milan Urbanized River Basins A. Ceppi et al. 10.1111/jfr3.70023
25. Discharge prediction based on multi-model precipitation forecasts T. Diomede et al. 10.1007/s00703-007-0285-0
26. Ensemble flood forecasting based on operational forecasts of the regional Eta EPS in the Taquari-Antas basin V. Siqueira et al. 10.1590/2318-0331.011616004