Data Assimilation Networks

Autor: Pierre Boudier, Anthony Fillion, Serge Gratton, Selime Gürol, Sixin Zhang

Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)

Abstract Data Assimilation aims at estimating the posterior conditional probability density functions based on error statistics of the noisy observations and the dynamical system. State of the art methods are sub‐optimal due to the common use of Ga

Externí odkaz: https://doaj.org/article/64eb4547fc1a478da12b73d5e70cf5cf

An Iterative Ensemble Kalman Smoother in Presence of Additive Model Error

Autor: Serge Gratton, Marc Bocquet, Anthony Fillion, Pavel Sakov, Selime Gürol

Publikováno v: SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2020, 8 (1), pp.198-228. ⟨10.1137/19M1244147⟩

International audience; Ensemble variational methods are being increasingly used in the field of geophysical data assimilation. Their efficiency comes from the combined use of ensembles, which provide statistics estimates, and a variational analysis,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3525acc88b6bf2f938a79e97968dcd7e
https://doi.org/10.1137/19m1244147

Latent Space Data Assimilation by using Deep Learning

Autor: Mathis Peyron, Anthony Fillion, Gael Goret, Serge Gratton, Selime Gürol, Pierre Boudier, Victor Marchais

Performing Data Assimilation (DA) at a low cost is of prime concern in Earth system modeling, particularly at the time of big data where huge quantities of observations are available. Capitalizing on the ability of Neural Networks techniques for appr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52aa02c18097b3dc147ab69cb7ba59ca

A note on preconditioning weighted linear least-squares with consequences for weakly constrained variational data assimilation

Autor: Serge Gratton, Ehouarn Simon, Selime Gürol, Philippe L. Toint

Publikováno v: Gratton, S, Selime, G, Simon, E & Toint, P 2018, ' A note on preconditioning weighted linear least-squares with consequences for weakly constrained variational data assimilation ', Quarterly Journal of the Royal Meteorological Society, vol. 144, no. 712, pp. 934-940 . https://doi.org/10.1002/qj.3262
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, Wiley, 2018, 144 (712), pp.934-940. ⟨10.1002/qj.3262⟩

The effect of preconditioning linear weighted least-squares using an approximation of the model matrix is analyzed, showing the interplay of the eigenstructures of both the model and weighting matrices. A small example is given illustrating the resul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa5e5d56c1924083a5f845e1a9a2ca4f
https://doi.org/10.1002/qj.3262

Industrial Application of an Advanced Bi-level MDO Formulation to Aircraft Engine Pylon Optimization

Autor: Vincent Gachelin, Stéphane Grihon, Nicolas Desfachelles, Joel Brezillon, Thierry Y. Druot, François Gallard, Rémi Lafage, Selime Gürol, Vincent Ambert, Justin Plakoo, Damien Guénot, Anne Gazaix, Maxime Hamadi, Patrick Sarouille, Benoit Pauwels, Charlie Vanaret, Nathalie Bartoli, Thierry Lefebvre

Publikováno v: AIAA Aviation 2019 Forum.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60e748bc8e0540ac59274a67d7db2966
https://doi.org/10.2514/6.2019-3109