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Multiscale Representation of Observation Error Statistics in Data Assimilation

Vincent Chabot 1, 2 Maëlle Nodet 1, 3 Arthur Vidard 1
1 AIRSEA - Mathematics and computing applied to oceanic and atmospheric flows
Inria Grenoble - Rhône-Alpes, UGA - Université Grenoble Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 Météo France
3 UVSQ - Université de Versailles Saint-Quentin-en-Yvelines
Keywords : multiscale analysis wavelets error correlation data assimilation error covariance matrices observation errors
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https://hal.inria.fr/hal-02421699
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Submitted on : Wednesday, March 11, 2020 - 8:30:15 AM
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METEO | INSMI | UVSQ | TDS-MACS | INRIA | LJK | CNRS | LJK-MAD-AIRSEA | LJK_MAD | UGA

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Vincent Chabot, Maëlle Nodet, Arthur Vidard. Multiscale Representation of Observation Error Statistics in Data Assimilation. Sensors, MDPI, 2020, 20 (5), pp.1-20. ⟨10.3390/s20051460⟩. ⟨hal-02421699v2⟩

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