DocumentCode
2267072
Title
Wavelet ensemble Kalman filters
Author
Beezley, Jonathan D. ; Mandel, Jan ; Cobb, Loren
Author_Institution
Dept. of Math. & Stat. Sci., Univ. of Colorado Denver, Denver, CO, USA
Volume
2
fYear
2011
fDate
15-17 Sept. 2011
Firstpage
514
Lastpage
517
Abstract
We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localization. The efficiency of the new method is demonstrated on an example.
Keywords
Kalman filters; data assimilation; wavelet transforms; EnKF; adaptive localization; data assimilation; diagonal approximation; state covariance; wavelet ensemble Kalman filters; Approximation methods; Covariance matrix; Data assimilation; Kalman filters; Vectors; Wavelet transforms; Coiflet; Data assimilation; EnKF; FFT; diagonal approximation; orthogonal wavelets; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location
Prague
Print_ISBN
978-1-4577-1426-9
Type
conf
DOI
10.1109/IDAACS.2011.6072819
Filename
6072819
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