Regularization and tempering for a moment‐matching localized particle filter
Supporting Files
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2022
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Journal Title:Quarterly Journal of the Royal Meteorological Society
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NOAA Program & Office:
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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
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Source:Quarterly Journal of the Royal Meteorological Society, 148(747), 2631-2651
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DOI:
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ISSN:0035-9009 ; 1477-870X
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Rights Information:CC BY
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Compliance:Library
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Main Document Checksum:urn:sha256:7dd585d45bde41bcfcce6a4c65ebf2cd62079ea0d849a7145f1ed39edeb687e6
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Supporting Files
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