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An adaptive variational method for data assimilation with imperfect models

โœ Scribed by Jiang Zhu; Masafumi Kamachi


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
923 KB
Volume
52
Category
Article
ISSN
0280-6495

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The background error covariance matrix, B, is often used in variational data assimilation for numerical weather prediction as a static and hence poor approximation to the fully dynamic forecast error covariance matrix, P f . In this paper the concept of an Ensemble Reduced Rank Kalman Filter (EnRRKF