Efficient parameter estimation for a highly chaotic system
Author:
Affiliation:
1. Frontier Research System for Global Change, 3173–25 Showa-machi Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan;
2. Proudman Oceanographic Laboratory, Joseph Proudman Building, 6 Brownlow Street, Liverpool, L3 5DA, UK
Publisher
Informa UK Limited
Subject
Atmospheric Science,Oceanography
Link
https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v56i5.14438
Reference20 articles.
1. An Ensemble Adjustment Kalman Filter for Data Assimilation
2. Annan, J. D., Hargreaves, J. C., Edwards, N. R. and Marsh, R. 2004. Parameter estimation in an intermediate complexity Earth System Model using an ensemble Kalman filter. Ocean Modelling, in press.
3. Analysis Scheme in the Ensemble Kalman Filter
4. A Variational Continuous Assimilation Technique
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