Learning 4DVAR Inversion Directly from Observations.

Arthur Filoche; Julien Brajard; Anastase Alexandre Charantonis; Dominique Béréziat

doi:10.1007/978-3-031-36027-5_32

Learning 4DVAR Inversion Directly from Observations.

Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	414-421
Journal	Lecture Notes in Computer Science
Volume	10476
DOIs	https://doi.org/10.1007/978-3-031-36027-5_32
Publication status	E-pub ahead of print - 26 Jun 2023
Externally published	Yes
Event	23rd International Conference of Computational Science 2023 - Prague, Czech Republic Duration: 3 Jul 2023 → 5 Jul 2023 https://www.iccs-meeting.org/iccs2023/

Access to Document

10.1007/978-3-031-36027-5_32

Cite this

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title = "Learning 4DVAR Inversion Directly from Observations.",

author = "Arthur Filoche and Julien Brajard and Charantonis, {Anastase Alexandre} and Dominique B{\'e}r{\'e}ziat",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 23rd International Conference of Computational Science 2023, ICCS 2023 ; Conference date: 03-07-2023 Through 05-07-2023",

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TY - JOUR

T1 - Learning 4DVAR Inversion Directly from Observations.

AU - Filoche, Arthur

AU - Brajard, Julien

AU - Charantonis, Anastase Alexandre

AU - Béréziat, Dominique

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2023/6/26

Y1 - 2023/6/26

U2 - 10.1007/978-3-031-36027-5_32

DO - 10.1007/978-3-031-36027-5_32

M3 - Conference article

SN - 0302-9743

VL - 10476

SP - 414

EP - 421

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 23rd International Conference of Computational Science 2023

Y2 - 3 July 2023 through 5 July 2023

ER -