Can discharge assimilation methods be used to improve flood forecasting when few data are available?

Autor: Berthet, L., Ramos, M. H., Charles Perrin, Andréasslvn, V., Loumagne, C.

Publikováno v: IAHS Red Books Publications : News approaches to hydrological prediction in data sparse regions
IAHS Red Books Publications : News approaches to hydrological prediction in data sparse regions, 333, IAHS, pp.94-100, 2009, 978-1-907161-04-9
HAL
Scopus-Elsevier

International audience; Forecasting floods is a major issue for public safety all over the world. Due to the difficulties inherent in the flood forecasting exercise, data assimilation techniques have been developed to cope with model errors. Unfortun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4bb1482a9b1c94b57f6e098534380a23
https://hal.inrae.fr/hal-02593013