Articles | Volume 13, issue 3
Research article
06 Mar 2013
Research article |  | 06 Mar 2013

Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model

M. Coustau, S. Ricci, V. Borrell-Estupina, C. Bouvier, and O. Thual

Related authors

Real-time flood forecasting with Machine Learning using scarce rainfall-runoff data
Théo Defontaine, Sophie Ricci, Corentin J. Lapeyre, Arthur Marchandise, and Etienne Le Pape
EGUsphere,,, 2024
Short summary
Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain
Malak Sadki, Simon Munier, Aaron Boone, and Sophie Ricci
Geosci. Model Dev., 16, 427–448,,, 2023
Short summary
Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
Charlotte Marie Emery, Sylvain Biancamaria, Aaron Boone, Sophie Ricci, Mélanie C. Rochoux, Vanessa Pedinotti, and Cédric H. David
Hydrol. Earth Syst. Sci., 24, 2207–2233,,, 2020
Short summary
Evaluation of uncertainties in mean and extreme precipitation under climate change for northwestern Mediterranean watersheds from high-resolution Med and Euro-CORDEX ensembles
Antoine Colmet-Daage, Emilia Sanchez-Gomez, Sophie Ricci, Cécile Llovel, Valérie Borrell Estupina, Pere Quintana-Seguí, Maria Carmen Llasat, and Eric Servat
Hydrol. Earth Syst. Sci., 22, 673–687,,, 2018
Short summary
Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission
V. Pedinotti, A. Boone, S. Ricci, S. Biancamaria, and N. Mognard
Hydrol. Earth Syst. Sci., 18, 4485–4507,,, 2014