A local sigma-point unscented Kalman filter for geophysical data assimilation
type: Item
instance of: scholarly article
title: A local sigma-point unscented Kalman filter for geophysical data assimilation
zbMATH Open document ID: 1490.62291
author: Manoj K. Nambiar
author: Youmin Tang
author: Ziwang Deng
published in: Physica D
publication date: 2022-02-21T00:00:00Z
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 7477897
zbMATH Keywords: data assimilation
zbMATH Keywords: Kalman filter
zbMATH Keywords: unscented transform
zbMATH Keywords: nonlinear estimation
zbMATH Keywords: sigma point Kalman filter
MaRDI profile type: Publication
full work available at URL: j.physd.2021.132979
OpenAlex ID: W3174433883
cites work: Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
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cites work: Highly efficient sigma point filter for spacecraft attitude and rate estimation
cites work: Reduced-rank unscented Kalman filtering using Cholesky-based decomposition
cites work: Approximation of attractors, large eddy simulations and multiscale methods
cites work: Singular vectors, predictability and ensemble forecasting for weather and climate
DOI: 10.1016/J.PHYSD.2021.132979
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description: scientific article; zbMATH DE number 7477897