A practical scheme of the sigma-point Kalman filter for high-dimensional systems-Reference-Cited by-同舟云学术

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A practical scheme of the sigma-point Kalman filter for high-dimensional systems

Published:2014-01-24 Issue:1 Volume:6 Page:21-37
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Tang Youmin¹²,Deng Ziwang²³,Manoj K. K.²,Chen Dake¹

Affiliation:

1. State Key Laboratory of Satellite Ocean Environment Dynamics; Second Institute of Oceanography, State Oceanic Administration; Hangzhou China

2. Environmental Science and Engineering; University of Northern British Columbia; Prince George British Columbia Canada

3. Department of Mathematics and Statistics; York University; Toronto Ontario Canada

Publisher

American Geophysical Union (AGU)

Subject

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

Reference42 articles.

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

2. An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system;Behringer;Mon. Weather Rev.,1998

3. Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean;Bonjean;J. Phys. Oceanogr.,2002

4. The retrospective prediction of ENSO from 1881-2000 by a hybrid coupled model-(I): SST assimilation with ensemble Kalman filter;Deng;Clim. Dyn.,2008

5. Assimilation of Argo temperature and salinity profiles using a bias-aware localized EnKF system for the Pacific Ocean;Deng;Ocean Modell.,2010

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