Výsledky vyhledávání - "Le Dimet, F.X."

Akademický článek

Parallel algorithms and data assimilation for hydraulic models

Autor: Mazauric, C. ^a, Tran, V.D. ^b, Castaings, W. ^a, Froehlich, D. ^c, Le Dimet, F.X. ^a

Publikováno v: In Advances in Parallel Computing 2004 13:403-411

Using spatial constraints into a variationnal data assimilation scheme of remote sensing images. Example on the simple crop model Bonsaï

Autor: Lauvernet, Claire, Baret, Frédéric, Le Dimet, F.X.

Publikováno v: GV2M Global Vegetation Monitoring and Modeling
GV2M Global Vegetation Monitoring and Modeling, Feb 2014, Avignon, France. pp.1, 2014

International audience; Assimilation of remote sensing data into crop models is generally applied pixel by pixel, while the whole image data is available. Estimating the crop model parameters of a pixel independently from the neighboring ones generat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::720253e8a5fd9bfa58e6a5911d035b44
https://hal.inrae.fr/hal-02599966/file/pub00041296.pdf

Zobrazit plný text záznamu

Analysis error covariance versus posterior covariance in variational data assimilation

Autor: Gejadze, I. Yu., Shutyaev, V., Le Dimet, F.X.

The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function (analysis). The data contain errors (observation and background errors); hence there is an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::d55ebf0fe38e67fc3f930eff8d2a2baf
https://strathprints.strath.ac.uk/42544/1/Gejadze_2012_QuarJ_Royal_Meteor_Soc_2.907_.pdf

Zobrazit plný text záznamu

On optimal solution error covariances in variational data assimilation problems

Autor: Gejadze, I.Y., Le Dimet, F.X., Shutyaev, V., (Funder), Scottish Founding Council via GRPE

Publikováno v: Journal of Computational Physics
Journal of Computational Physics, 2010, 229 (6), pp.2159-2178. ⟨10.1016/j.jcp.2009.11.028⟩
Journal of Computational Physics, Elsevier, 2010, 229 (6), pp.2159-2178. ⟨10.1016/j.jcp.2009.11.028⟩

International audience; The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find unknown parameters such as distributed model coefficients or boundary conditions. The equation fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::279012553851ec7bd576f6e70b0791c5
https://strathprints.strath.ac.uk/16315/6/strathprints016315.pdf

Zobrazit plný text záznamu

A posteriori error covariances in variational data assimilation

Autor: Shutyaev, V.P., Le Dimet, F.X., Gejadze, I.Yu., Russian Foundation for Basic Research (Funder), MOISE Project (Funder), Scottish Funding Council via GRPE (Funder)

Publikováno v: Russian Journal of Numerical Analysis and Mathematical Modelling
Russian Journal of Numerical Analysis and Mathematical Modelling, De Gruyter, 2009, 24 (2), pp.161-169. ⟨10.1515/RJNAMM.2009.011⟩
Russian Journal of Numerical Analysis and Mathematical Modelling, 2009, 24 (2), pp.161-169. ⟨10.1515/RJNAMM.2009.011⟩

International audience; The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find some unknown parameters of the model. The equation for the error of the optimal solution is deriv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c7bbd08e8f954e0457bf2c8fe215904
https://strathprints.strath.ac.uk/16314/6/strathprints016314.pdf

Zobrazit plný text záznamu