Sigma-point particle filter for parameter estimation in a multiplicative noise environment-Reference-Cited by-同舟云学术

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Sigma-point particle filter for parameter estimation in a multiplicative noise environment

Published:2011-04 Issue:4 Volume:3 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Ambadan Jaison Thomas,Tang Youmin

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2011MS000065/fullpdf

Reference78 articles.

1. Ensemble-based data assimilation for thermally forced circulations;Aksoy;J. Geophys. Res.,2005

2. Ensemble-based simultaneous state and parameter estimation with MM5;Aksoy;Geophys. Res. Lett.,2006

3. Ensemble based simultaneous state and parameter estimation in a two-dimensional sea-breeze model;Aksoy;Mon. Weather Rev.,2006

4. Sigma-point Kalman filter data assimilation methods for strongly nonlinear systems;Ambadan;J. Atmos. Sci.,2009

5. A non-Gaussian ensemble filter update for data assimilation;Anderson;Mon. Weather Rev.,2010

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison and combination of EAKF and SIR-PF in the Bayesian filter framework;Acta Oceanologica Sinica;2016-03

2. Nonlinear measurement function in the ensemble Kalman filter;Advances in Atmospheric Sciences;2014-04-03

3. Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review;Journal of the Meteorological Society of Japan. Ser. II;2013

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