Application of the ensemble Kalman filter to atmosphere-ocean coupled model

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    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 of the 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.

    Original languageEnglish
    Title of host publicationNSSPW - Nonlinear Statistical Signal Processing Workshop 2006
    DOIs
    Publication statusPublished - Dec 1 2006
    EventNSSPW - Nonlinear Statistical Signal Processing Workshop 2006 - Cambridge, United Kingdom
    Duration: Sep 13 2006Sep 15 2006

    Publication series

    NameNSSPW - Nonlinear Statistical Signal Processing Workshop 2006

    Other

    OtherNSSPW - Nonlinear Statistical Signal Processing Workshop 2006
    CountryUnited Kingdom
    CityCambridge
    Period9/13/069/15/06

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Statistics, Probability and Uncertainty
    • Electrical and Electronic Engineering
    • Statistics and Probability

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    Ueno, G., Higuchi, T., Kagimoto, T., & Hirose, N. (2006). Application of the ensemble Kalman filter to atmosphere-ocean coupled model. In NSSPW - Nonlinear Statistical Signal Processing Workshop 2006 [4378835] (NSSPW - Nonlinear Statistical Signal Processing Workshop 2006). https://doi.org/10.1109/NSSPW.2006.4378835