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Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review

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RUIZ, Juan Jose, PULIDO, Manuel, MIYOSHI, Takemasa·2013·Journal of the Meteorological Society of Japan. Ser. II

DOI 10.2151/jmsj.2013-201

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Authors: RUIZ, J. J., PULIDO, M., & MIYOSHI, T.
Affiliations: Department of Physics, FACENA, Universidad Nacional del Nordeste, Corrientes, Argentina, CIMA, UMI-IFAECI/CNRS, CONICET, Buenos Aires, Argentina
Centre National de la Recherche Scientifique (FR)
University of Maryland, College Park (US)
ORCID: PULIDO, Manuel
MIYOSHI, Takemasa
Venue: Journal of the Meteorological Society of Japan. Ser. II
Publisher: Springer Science and Business Media LLC
Published: 2013
Volume: 91
Issue: 2
Pages: 79-99
ISSN: 0026-1165 (ISSN-L)
2186-9057
DOI: 10.2151/jmsj.2013-201
OpenAlex: W2010299042
Cited by: 145
References: 79
Citations by year: 2026: 8 · 2025: 11 · 2024: 9 · 2023: 13 · 2022: 15 · 2021: 28 · 2020: 8 · 2019: 11 · 2018: 8 · 2017: 6 · 2016: 9 · 2015: 8 · 2014: 8 · 2013: 3
FWCI: 6.08
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Journal of the Meteorological Society of Japan Ser II (publishedVersion)
Americanae (AECID Library) (submittedVersion, cc-by-nc-sa)
CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
Funders: Agencia Nacional de Promoción Científica y Tecnológica (PICT-2010-1986)
Secretaría de Ciencia y Técnica, Universidad de Buenos Aires
Topics: Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Physical Sciences › Engineering › Aerospace Engineering › Aerospace and Aviation Technology
Keywords: model parameter estimation, ensemble data assimilation, SPEEDY model, atmospheric general circulation model, numerical weather prediction, parameter optimization, weather forecasting

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Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review

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