Nonlinear data assimilation in geosciences: an extremely efficient particle filter-Reference-Cited by-同舟云学术

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Nonlinear data assimilation in geosciences: an extremely efficient particle filter

Published:2010-10 Issue:653 Volume:136 Page:1991-1999
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q.J.R. Meteorol. Soc.

Author:

van Leeuwen P. J.

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/qj.699/fullpdf

Reference20 articles.

1. A Monte-Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Mon. Weather Rev.,1999

2. Toward a nonlinear ensemble filter for high-dimensional systems;Bengtsson;J. Geophys. Res.,2003

3. Inverse Methods in Physical Oceanography

4. Analysis scheme in the ensemble Kalman filter;Burgers;Mon. Weather Rev.,1998

5. Implicit sampling for particle filters;Chorin;PNAS,2009

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