Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Johan Habert"'
Autor:
Olivier Thual, Etienne Le Pape, Nicole Goutal, G. Jonville, Philippe Gouin, Fabrice Zaoui, Andrea Piacentini, Sophie Ricci, Johan Habert, Mélanie C. Rochoux, Sébastien Barthélémy
Publikováno v:
E3S Web of Conferences, Vol 7, p 18022 (2016)
Over the last few years, a collaborative work between CERFACS, LNHE (EDF R&D), SCHAPI and CE-REMA resulted in the implementation of a Data Assimilation (DA) method on top of MASCARET in the framework of real-time forecasting. This prototype was based
Autor:
E. Le Pape, Andrea Piacentini, G. Jonville, Mélanie C. Rochoux, Johan Habert, Olivier Thual, Nicole Goutal, S. Ricci
Publikováno v:
Journal of Hydrology
Journal of Hydrology, Elsevier, 2016, ⟨10.1016/j.jhydrol.2015.11.023⟩
Journal of Hydrology, Elsevier, 2016, ⟨10.1016/j.jhydrol.2015.11.023⟩
This paper presents a data-driven hydrodynamic simulator based on the 1-D hydraulic solver dedicated to flood forecasting with lead time of an hour up to 24 h. The goal of the study is to reduce uncertainties in the hydraulic model and thus provide m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd8cee05da4f7e9637ba5e6773619d83
https://hal.archives-ouvertes.fr/hal-01244241/document
https://hal.archives-ouvertes.fr/hal-01244241/document
Autor:
Sophie Ricci, Fabrice Zaoui, G. Jonville, Andrea Piacentini, Olivier Thual, Riadh Ata, Etienne Le Pape, Johan Habert, Nicole Goutal
Publikováno v:
Advances in Hydroinformatics ISBN: 9789814451413
The present study describes the assimilation of discharge in situ data for operational flood forecasting. The study was carried out on the Marne River (France) catchment where lateral inflows’ uncertainty is important due to karstic areas. This sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58c67ab68dedad299db287806a9fb9be
https://doi.org/10.1007/978-981-4451-42-0_8
https://doi.org/10.1007/978-981-4451-42-0_8