Regularization and tempering for a moment‐matching localized particle filter

Poterjoy, Jonathan

doi:10.1002/qj.4328

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i

Regularization and tempering for a moment‐matching localized particle filter

2022
By Poterjoy, Jonathan
Source: Quarterly Journal of the Royal Meteorological Society, 148(747), 2631-2651

[PDF-4.04 MB]

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Details:

Journal Title:

Quarterly Journal of the Royal Meteorological Society
Personal Author:

Poterjoy, Jonathan
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research)
Description:

Iterativeensemblefiltersandsmoothersarenowcommonlyusedforgeophys- ical models. Some of these methods rely on a factorization of the observation likelihood function to sample from a posterior density through a set of “tem- pered”transitionstoensemblemembers.ForGaussian-baseddataassimilationmethods, tangent linear versions of nonlinear operators can be relinearized betweeniterations,thusleadingtoasolutionthatislessbiasedthanasingle-step approach.Thisstudyadoptssimilariterativestrategiesforalocalizedparticlefil-ter(PF)thatreliesontheestimationofmomentstoadjustunobservedvariables
Keywords:

[+]

Atmospheric Science
Source:

Quarterly Journal of the Royal Meteorological Society, 148(747), 2631-2651
DOI:

https://doi.org/10.1002/qj.4328
ISSN:

0035-9009;1477-870X;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
Funding:

Grant no. NA20OAR4600281
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:7dd585d45bde41bcfcce6a4c65ebf2cd62079ea0d849a7145f1ed39edeb687e6
Download URL:

https://repository.library.noaa.gov/view/noaa/54391/noaa_54391_DS1.pdf
File Type:

Machine readable version (XML)

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