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A nested sampling particle filter for nonlinear data assimilation

Author
ELSHEIKH, Ahmed H1 2 ; HOTEIT, Ibrahim3 ; WHEELER, Mary F1
[1] Institute for Computational Engineering and Sciences (ICES), University of Texas, Austin, TX, United States
[2] Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh, United Kingdom
[3] Department of Earth Sciences and Engineering, King Abdullah University, Thuwal, Saudi Arabia
Source

Quarterly Journal of the Royal Meteorological Society. 2014, Vol 140, Num 682, pp 1640-1653, 14 p ; ref : 3/4 p

CODEN
QJRMAM
ISSN
0035-9009
Scientific domain
Climatology, meteorology
Publisher
Wiley, Chichester
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
nested sampling particle filters sequential data assimilation
Keyword (fr)
Assimilation donnée Donnée observation Echantillonnage Filtre non linéaire Filtre particule Fonction densité probabilité
Keyword (en)
Data assimilation Observation data sampling Non linear filter Particle filter probability density function
Keyword (es)
Asimilación dato Dato observación Muestreo Filtro no lineal Filtro partículas
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 / 001E02F Geophysics. Techniques, methods, instrumentation and models

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
28674198

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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