Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter
- Author
- HONG LI1 ; KALNAY, Eugenia2 ; MIYOSHI, Takemasa3
[1] Laboratory of Typhoon Forecast Technique, Shanghai Typhoon Institute of CMA, Shanghai, China
[2] University of Maryland, College Park, Maryland, United States
[3] Numerical Prediction Division, Japan Meteorological Agency, Tokyo, Japan - Source
Quarterly Journal of the Royal Meteorological Society. 2009, Vol 135, Num 639, pp 523-533, 11 p ; ref : 1/2 p
- CODEN
- QJRMAM
- ISSN
- 0035-9009
- Scientific domain
- Climatology, meteorology
- Publisher
- Wiley, Chichester
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- EnKF adaptive covariance inflation ensemble data assimilation parameter estimation
- Keyword (fr)
- Algorithme Assimilation donnée Covariance Erreur aléatoire Erreur systématique Estimation paramètre Modèle Lorenz Variance Filtre Kalman ensemble
- Keyword (en)
- algorithms Data assimilation covariance Random error Bias Parameter estimation Lorenz model Variance Ensemble Kalman filter
- Keyword (es)
- Algoritmo Asimilación dato Error aleatorio Error sistemático Estimación parámetro Modelo Lorenz Variancia Filtro Kalman conjunto
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02H Physics of the high neutral atmosphere
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 21251857
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/qj.371 
https://dx.doi.org/10.1002/qj.371
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