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A local ensemble Kalman filter for atmospheric data assimilation

โœ Scribed by EDWARD OTT; BRIAN R. HUNT; ISTVAN SZUNYOGH; ALEKSEY V. ZIMIN; ERIC J. KOSTELICH; MATTEO CORAZZA; EUGENIA KALNAY; D. J. PATIL; JAMES A. YORKE

Book ID
111268751
Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
190 KB
Volume
56
Category
Article
ISSN
0280-6495

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โœ Jia Li; Dongbin Xiu ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 401 KB

Ensemble Kalman filter (EnKF) has been widely used as a sequential data assimilation method, primarily due to its ease of implementation resulting from replacing the covariance evolution in the traditional Kalman filter (KF) by an approximate Monte Carlo ensemble sampling. In this paper rigorous ana