Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Arthur Filoche"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 6, Pp n/a-n/a (2024)
Abstract Satellite‐based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space‐borne altimetry provides valuable Sea Surface Height (SSH) measurements, used to estimate surface geostrophi
Externí odkaz:
https://doaj.org/article/dc4da34daa6d4378a058f6ede4432d2d
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Many applications in geosciences require solving inverse problems to estimate the state of a physical system. Data assimilation provides a strong framework to do so when the system is partially observed and its underlying dynamics are known to some e
Externí odkaz:
https://doaj.org/article/bb8f7512ec5a47a3a743042614370686
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 246 (2021)
Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven approaches, especially deep learning models, have shown significant skill a
Externí odkaz:
https://doaj.org/article/ba6d38a0f3d04de58c91531766702d86
Autor:
Arthur Filoche, Dominique Béréziat, Anastase Alexandre Charantonis, Julien Brajard, Vincent Bouget
Short or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risks monitoring. Existing data-driven approaches, especially deep learning models, have shown significant skill a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2de7ebc60f974fce367feedc97b1c514
https://doi.org/10.5194/egusphere-egu21-11990
https://doi.org/10.5194/egusphere-egu21-11990
Autor:
Julien Brajard, Arthur Filoche, Vincent Bouget, Anastase Alexandre Charantonis, Dominique Béréziat
Publikováno v:
Remote Sensing, Vol 13, Iss 246, p 246 (2021)
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing; Volume 13; Issue 2; Pages: 246
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing, 2021, 13 (2), pp.246. ⟨10.3390/rs13020246⟩
Remote Sensing; Volume 13; Issue 2; Pages: 246
Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven approaches, especially deep learning models, have shown significant skill a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf29f2bac7627989b7606781833d4c0
http://arxiv.org/abs/2012.05015
http://arxiv.org/abs/2012.05015
The analogy between data assimilation and machine learning has already been shown and is still being investigated to address the problem of improving physics-based models. Even though both techniques learn from data, machine learning focuses on infer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c23b66191a5fb53f8cab4546c059947c
https://doi.org/10.5194/egusphere-egu2020-285
https://doi.org/10.5194/egusphere-egu2020-285
Autor:
Archambault, Théo1,2 (AUTHOR) theo.archambault@lip6.fr, Filoche, Arthur3 (AUTHOR), Charantonis, Anastase2,4,5 (AUTHOR), Béréziat, Dominique1 (AUTHOR), Thiria, Sylvie2 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Jun2024, Vol. 16 Issue 6, p1-25. 25p.
Publikováno v:
Environmental Data Science; 2023, Vol. 2, p1-10, 10p
Autor:
Bouget, Vincent1 (AUTHOR) vincent.bouget@student.ecp.fr, Béréziat, Dominique1 (AUTHOR) dominique.bereziat@lip6.fr, Brajard, Julien2 (AUTHOR) julien.brajard@nersc.no, Charantonis, Anastase3,4 (AUTHOR) anastase.charantonis@ensiie.fr, Filoche, Arthur1 (AUTHOR) arthur.filoche@lip6.fr
Publikováno v:
Remote Sensing. 1/15/2021, Vol. 13 Issue 2, p246. 1p.
Autor:
Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023. The total of 188 full papers and 94 short papers present