A local sigma-point unscented Kalman filter for geophysical data assimilation-Reference-Cited by-同舟云学术

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A local sigma-point unscented Kalman filter for geophysical data assimilation

Published:2021-11 Issue: Volume:425 Page:132979
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Nambiar Manoj K.^ORCID,Tang Youmin,Deng Ziwang

Funder

Natural Sciences and Engineering Research Council of Canada

University of Northern British Columbia

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference55 articles.

1. Assimilation of observations, an introduction;Talagrand;J. Meteorol. Soc. Japan,1997

2. Assimilating vortex position with an ensemble Kalman filter;Chen;Mon. Weather Rev.,2007

3. A time-averaged covariance method in the EnKF for argo data assimilation;Deng;Atmos.-Ocean,2012

4. Nonlinear measurement function in the ensemble Kalman filter;Tang;Adv. Atmos. Sci.,2014

5. Reduced-rank sigma-point Kalman filter and its application in ENSO model;Manoj;J. Atmos. Ocean. Technol.,2014

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1. Unscented Kalman filter in chaotic digital communication: a robust spread;Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII;2024-06-07

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