Assimilating satellite SST/SSH and in-situ T/S profiles with the Localized Weighted Ensemble Kalman Filter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Aquatic Science,Oceanography
Link
https://link.springer.com/content/pdf/10.1007/s13131-021-1903-2.pdf
Reference34 articles.
1. Anderson J L. 2003. A local least squares framework for ensemble filtering. Monthly Weather Review, 131(4): 634–642, doi: https://doi.org/10.1175/1520-0493(2003)131<0634:ALLSFF>2.0.CO;2
2. Anderson J L. 2007. An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus A, 59(2): 210–224, doi: https://doi.org/10.1111/j.1600-0870.2006.00216.x
3. Bonjean F, Lagerloef G S E. 2002. Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean. Journal of Physical Oceanography, 32(10): 2938–2954, doi: https://doi.org/10.1175/1520-0485(2002)032<2938:DMAAOT>2.0.CO;2
4. Caruso M J, Gawarkiewicz G G, Beardsley R C. 2006. Interannual variability of the Kuroshio intrusion in the South China Sea. Journal of Oceanography, 62(4): 559–575, doi: https://doi.org/10.1007/s10872-006-0076-0
5. Chen Yan, Zhang Weimin, Wang Pinqiang. 2020a. An application of the localized weighted ensemble Kalman filter for ocean data assimilation. Quarterly Journal of the Royal Meteorological Society, 146(732): 3029–3047, doi: https://doi.org/10.1002/qj.3824
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