A Local Ensemble Data Assimilation Algorithm for Nonlinear Geophysical Models
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Published:2023-03
Issue:1
Volume:16
Page:22-33
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ISSN:1995-4239
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Container-title:Numerical Analysis and Applications
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language:en
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Short-container-title:Numer. Analys. Appl.
Publisher
Pleiades Publishing Ltd
Subject
Numerical Analysis
Reference24 articles.
1. Klimova, E.G., The Kalman Stochastic Ensemble Filter with Transformation of Perturbation Ensemble, Num. An. Appl., 2019, vol. 12, no. 1, pp. 26–36. 2. Anderson, D.L. and Anderson S.L., A Monte-Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts, Monthly Weather Rev., 2019, vol. 127, pp. 2741–2758. 3. Anderson, B.D. and Moore, J.B., Optimal Filtering, New Jersey: Prentice-Hall, 1979. 4. Bengtsson, T., Snyder, C., and Nychka, D., Toward a Nonlinear Ensemble Filter for High-Dimensional Systems, J. Geophys. Res., 2003; https://doi.org/ 10.1029/2002JD002900. 5. Carpenter, J., Clifford, P., and Fearnhead, P., Improved Particle Filter for Nonlinear Problems, IEE Proc. Radar, Sonar Navig., 1999; https://doi.org/10.1049/ip-rsn:19990255.
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