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

    Fingerprint

    Ensemble Kalman Filter
    Coupled Model
    Kalman filters
    Ocean
    Anomaly
    Atmosphere
    Ensemble
    Sea Surface Temperature
    Predict
    Estimate
    Experiment
    Kalman filter
    Experiments
    Temperature
    Model

    All Science Journal Classification (ASJC) codes

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

    Cite this

    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

    Application of the ensemble Kalman filter to atmosphere-ocean coupled model. / Ueno, G.; Higuchi, T.; Kagimoto, T.; Hirose, N.

    NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. 2006. 4378835 (NSSPW - Nonlinear Statistical Signal Processing Workshop 2006).

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

    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, NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, Cambridge, United Kingdom, 9/13/06. https://doi.org/10.1109/NSSPW.2006.4378835
    Ueno G, Higuchi T, Kagimoto T, Hirose N. Application of the ensemble Kalman filter to atmosphere-ocean coupled model. In NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. 2006. 4378835. (NSSPW - Nonlinear Statistical Signal Processing Workshop 2006). https://doi.org/10.1109/NSSPW.2006.4378835
    Ueno, G. ; Higuchi, T. ; Kagimoto, T. ; Hirose, N. / Application of the ensemble Kalman filter to atmosphere-ocean coupled model. NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. 2006. (NSSPW - Nonlinear Statistical Signal Processing Workshop 2006).
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