Gathering users and developers to shape together the next-generation ocean reanalyses

Yang, Chunxue; Bourdallé-Badie, Romain; Drevillon, Marie; Amaya, Dillon; Aouf, Lofti; Aydogdu, Ali; Barton, Benjamin; Bell, Mike; Boyer, Tim; Blauw, Anouk; Carton, James; Candela, Tony; Cossarini, Gianpiero; Dabrowski, Tomasz; de Boisseson, Eric; de Mora, Lee; Fablet, Ronan; Forget, Gaël; Menéndez García, Melisa; Fujii, Yosuke

doi:10.1175/BAMS-D-24-0034.1

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Identificadores

URI: https://hdl.handle.net/10902/36062

DOI: 10.1175/BAMS-D-24-0034.1

ISSN: 0003-0007

ISSN: 1520-0477

; [et al.]

Fecha

2025-02

Derechos

© 2025 American Meteorological Society. AMS´s Full Copyright Notice: https://www.ametsoc.org/ams/index.cfm/publications/authors/journal-and-bams-authors/author-resources/copyright-information/copyright-policy/

Publicado en

Bulletin of the American Meteorological Society, 2025, 106(2), E419-E429

Editorial

American Meteorological Society

Disponible después de

2025-08-31

Enlace a la publicación

https://doi.org/10.1175/BAMS-D-24-0034.1

Palabras clave

In situ oceanic observations

Satellite observations

Data assimilation

Ocean models

Reanalysis data

Machine learning

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© 2025 American Meteorological Society. AMS´s Full Copyright Notice: https://www.ametsoc.org/ams/index.cfm/publications/authors/journal-and-bams-authors/author-resources/copyright-information/copyright-policy/

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