Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin

Autor: Kilic, Deniz, Rivière, Agnès, Gallois, Nicolas, Ducharne, Agnès, Wang, Shuaitao, Peylin, Philippe, Flipo, Nicolas

Publikováno v: Comptes Rendus. Géoscience, Vol , Iss , Pp 1-21 (2022)

While it is well accepted that climate change and growing water needs affect long-term sustainable water resources management, performing accurate simulations of water cycle and energy balance dynamics at regional scale remains a challenging task.Tra

Externí odkaz: https://doaj.org/article/1fd34bcbaff94f179684e11ee77afed4

Modeling Land Surface Fluxes from Uncertain Rainfall: A Case Study in the Sahel with Field-Driven Stochastic Rainfields

Autor: Bernard Cappelaere, Denis Feurer, Théo Vischel, Catherine Ottlé, Hassane Bil-Assanou Issoufou, Stéphane Saux-Picart, Ibrahim Maïnassara, Monique Oï, Jean-Philippe Chazarin, Hélène Barral, Benoit Coudert, Jérôme Demarty

Publikováno v: Atmosphere, Vol 11, Iss 5, p 465 (2020)

In distributed land surface modeling (LSM) studies, uncertainty in the rainfields that are used to force models is a major source of error in predicted land surface response variables. This is particularly true for applications in the African Sahel r

Externí odkaz: https://doaj.org/article/d5b6d0310d304be98bed7d4b67a5d505

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Modeling Land Surface Fluxes from Uncertain Rainfall: A Case Study in the Sahel with Field-Driven Stochastic Rainfields

Autor: Hélène Barral, I. Mainassara, Bernard Cappelaere, Catherine Ottlé, Jérôme Demarty, Théo Vischel, M. Oi, Denis Feurer, Hassane Bil-Assanou Issoufou, J. P. Chazarin, S. Saux-Picart, Benoît Coudert

Publikováno v: Atmosphere
Atmosphere, MDPI 2020, 11 (5), ⟨10.3390/atmos11050465⟩
Atmosphere, MDPI 2020, 11 (5), ⟨10.3390/ATMOS11050465⟩
Atmosphere, Vol 11, Iss 465, p 465 (2020)
Atmosphere, 2020, 11 (5), ⟨10.3390/atmos11050465⟩
Volume 11
Issue 5

International audience; In distributed land surface modeling (LSM) studies, uncertainty in the rainfields that are used to force models is a major source of error in predicted land surface response variables. This is particularly true for application

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a967f5b87392f56d2dafcfae450df9
https://hal.inrae.fr/hal-02862891

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