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

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

    研究成果: 著書/レポートタイプへの貢献会議での発言

    2 引用 (Scopus)

    抄録

    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.

    元の言語英語
    ホスト出版物のタイトルNSSPW - Nonlinear Statistical Signal Processing Workshop 2006
    DOI
    出版物ステータス出版済み - 12 1 2006
    イベントNSSPW - Nonlinear Statistical Signal Processing Workshop 2006 - Cambridge, 英国
    継続期間: 9 13 20069 15 2006

    出版物シリーズ

    名前NSSPW - Nonlinear Statistical Signal Processing Workshop 2006

    その他

    その他NSSPW - Nonlinear Statistical Signal Processing Workshop 2006
    英国
    Cambridge
    期間9/13/069/15/06

    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

    これを引用

    Ueno, G., Higuchi, T., Kagimoto, T., & Hirose, N. (2006). Application of the ensemble Kalman filter to atmosphere-ocean coupled model. : 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).

    研究成果: 著書/レポートタイプへの貢献会議での発言

    Ueno, G, Higuchi, T, Kagimoto, T & Hirose, N 2006, Application of the ensemble Kalman filter to atmosphere-ocean coupled model. : NSSPW - Nonlinear Statistical Signal Processing Workshop 2006., 4378835, NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, Cambridge, 英国, 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. : 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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