Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation
- Author
- ANDERSON, Jeffrey L1
[1] NCAR/Data Assimilation Research Section, Boulder, Colorado, United States - Source
Monthly weather review. 2012, Vol 140, Num 7, pp 2359-2371, 13 p ; ref : 3/4 p
- CODEN
- MWREAB
- ISSN
- 0027-0644
- Scientific domain
- Climatology, meteorology
- Publisher
- American Meteorological Society, Boston, MA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme Analyse sensibilité Assimilation donnée Correction erreur Covariance Erreur quadratique moyenne Erreur échantillonnage Localisation Modèle circulation générale Modèle dynamique Modèle statistique Méthode Monte Carlo Non linéarité Simulation ensemble Simulation numérique Filtre Kalman ensemble
- Keyword (en)
- algorithms sensitivity analysis Data assimilation Error correction covariance Mean square error Sampling error localization General circulation models Dynamic model Statistical model Monte Carlo analysis Nonlinearity Ensemble simulation digital simulation Ensemble Kalman filter
- Keyword (es)
- Algoritmo Asimilación dato Corrección error Error medio cuadrático Error muestreo Localización Modelo dinámico Modelo estadístico No linealidad Simulación conjunto Simulación numérica Filtro Kalman conjunto
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 26099496
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
10.1175/MWR-D-11-00013.1 
https://dx.doi.org/10.1175/MWR-D-11-00013.1
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