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HESS Opinions 'Crash tests for a standardized evaluation of hydrological models'

Autor: Andreassian, V., Charles Perrin, Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M. -H, Valery, A.

Publikováno v: ResearcherID

As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models – which attempt to represent real-world behaviour – will always remain imperfect. To make progress on the long road towards improved models, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::93e80463f5cb3512c85afc5e7c1d7c29
https://www.hydrol-earth-syst-sci.net/13/1757/2009/

Dynamics of collaborations between practitioners and researchers to improve flood forecasting systems in France

Autor: Furusho, C., Perrin, C., Lamblin, R., Dorchies, D., Berthet, L., Andréassian, V.

Publikováno v: Sciences Eaux & Territoires
Sciences Eaux & Territoires, INRAE, 2015, pp.40-45. ⟨10.14758/SET-REVUE.2015.17.08⟩
Sciences Eaux & Territoires, IRSTEA, 2015, pp.40-45. ⟨10.14758/SET-REVUE.2015.17.08⟩

Given the technical and scientific progress, one might believe that existing knowledge and data are sufficient to understand and model all the physical processes governing natural phenomena on Earth. However, providing accurate flood forecasts remain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ae3ce1210dea09cd9c4e6e7de5941e2b
https://hal.archives-ouvertes.fr/hal-01233447/file/dg2015-pub00045443.pdf

Crash tests for a standardized evaluation of hydrological models

Autor: Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Maria-Helena Ramos, Valéry, A.

Publikováno v: Hydrology and Earth System Sciences Discussions
Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2009, p. 1757-p. 1764
Hydrology and Earth System Sciences Discussions, 2009, 13, p. 1757-p. 1764
Scopus-Elsevier
HAL

[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU; As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models which attempt to represent real-world behaviour will always remain imperfect. To make progress on the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1e9fe4e3ef6b40697a0b54ac6e20e14b
https://hal.archives-ouvertes.fr/hal-00455623

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
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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