• DocumentCode
    2024299
  • Title

    Application of the Ensemble Kalman Filter to Atmosphere-Ocean Coupled Model

  • Author

    Ueno, G. ; Higuchi, T. ; Kagimoto, T. ; Hirose, N.

  • Author_Institution
    The Institute of Statistical Mathematics / JST CREST, Tokyo, Japan
  • fYear
    2006
  • fDate
    13-15 Sept. 2006
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    We report the first application of the ensemble Kalman filter (EnKF) to an intermediate coupled atmosphere-ocean model by [1], into which the sea surface height (SSH) anomaly observations by TOPEX/POSEIDON (T/P) altimetry are assimilated. Smoothed estimates ofthe 54,403 dimensional state are obtained from 1981 observational points with 2048 ensemble members. While data assimilated are SSH anomalies alone, an ensemble experiment of 2002/03 El Niño event based on the EnKF can predict consistent Niño 3 sea surface temperature (SST) anomalies about 5 months in advance.
  • Keywords
    Altimetry; Atmospheric modeling; Gaussian noise; Mathematics; Noise generators; Nonlinear dynamical systems; Nonlinear equations; Ocean temperature; Predictive models; Sea surface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-1-4244-0581-7
  • Electronic_ISBN
    978-1-4244-0581-7
  • Type

    conf

  • DOI
    10.1109/NSSPW.2006.4378835
  • Filename
    4378835