A study of ensemble size and shallow water dynamics with the Maximum Likelihood Ensemble Filter
- Author
- FLETCHER, S. J1 ; ZUPANSKI, M1
[1] Cooperative Institute for Research in the Atmosphere, Colorado State University, 1375 Campus Delivery, Fort Collins, CO 80523-1375, United States - Source
Tellus. Series A, Dynamic meteorology and oceanography. 2008, Vol 60, Num 2, pp 348-360, 13 p ; ref : 3/4 p
- CODEN
- TSAOD8
- ISSN
- 0280-6495
- Scientific domain
- Environment; Climatology, meteorology; Oceanography
- Publisher
- Blackwell, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Assimilation donnée Condition initiale Dimensionnement Equation bidimensionnelle Equation eau peu profonde Filtrage Kalman Maximum vraisemblance Optimisation Prévision météorologique Prévision numérique Filtre Kalman ensemble Nombre ensemble
- Keyword (en)
- Data assimilation Initial condition Dimensioning Two dimensional equation Shallow-water equations Kalman filtering maximum likelihood optimization Weather forecast Numerical forecast Ensemble Kalman filter
- Keyword (es)
- Asimilación dato Condición inicial Dimensionamiento Ecuación bidimensional Filtrado Kalman Optimización Predicción meteorológica Previsión numérica Filtro Kalman conjunto
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology / 001E02D16 Other topics in atmospheric geophysics
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02F Geophysics. Techniques, methods, instrumentation and models
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20138656
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
10.1111/j.1600-0870.2007.00294.x 
https://dx.doi.org/10.1111/j.1600-0870.2007.00294.x
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