• 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