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Four-dimensional variational data assimilation for high resolution nested models

✍ Scribed by G.M. Baxter; S.L. Dance; A.S. Lawless; N.K. Nichols

Book ID
108101457
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
241 KB
Volume
46
Category
Article
ISSN
0045-7930

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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