Regularization and tempering for a moment‐matching localized particle filter Quarterly Journal of the Royal Meteorological Society
收藏NOAA Institutional Repository2023-09-13 更新2026-04-25 收录
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https://doi.org/10.1002/qj.4328
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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 Grant no. NA20OAR4600281
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NOAA
创建时间：
2023-09-13
