Articles | Volume 23, issue 6
https://doi.org/10.5194/npg-23-391-2016
https://doi.org/10.5194/npg-23-391-2016
Research article
 | 
04 Nov 2016
Research article |  | 04 Nov 2016

A local particle filter for high-dimensional geophysical systems

Stephen G. Penny and Takemasa Miyoshi

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by S.G. Penny on behalf of the Authors (03 Aug 2016)  Author's response 
ED: Referee Nomination & Report Request started (22 Aug 2016) by Zoltan Toth
RR by Chris Snyder (09 Sep 2016)
ED: Publish subject to minor revisions (further review by Editor) (23 Sep 2016) by Zoltan Toth
AR by S.G. Penny on behalf of the Authors (04 Oct 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (11 Oct 2016) by Zoltan Toth
AR by S.G. Penny on behalf of the Authors (20 Oct 2016)  Author's response   Manuscript 
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Short summary
Particle filters in their basic form have been shown to be unusable for large geophysical systems because the number of required particles grows exponentially with the size of the system. We have applied the ideas of localized analyses at each model grid point and use ensemble weight smoothing to blend each local analysis with its neighbors. This new local particle filter (LPF) makes large geophysical applications tractable for particle filters and is competitive with a popular EnKF alternative.