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

Genta Ueno, Tomoyuki Higuchi, Takashi Kagimoto, Naoki Hirose

    Research output: Contribution to journalArticle

    13 Citations (Scopus)

    Abstract

    We report an application of the ensemble Kalman filter (EnKF) and smoother (EnKS) to an intermediate coupled atmosphere-ocean model of Zebiak and Cane, 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 1,981 observational points with 2,048 ensemble members. While assimilated data are SSH anomalies alone, the estimated sea surface temperature (SST) anomalies reproduce primary temporal characteristics of the actual SST. The smoothed estimate of the zonal wind anomalies is also consistent with the observation except for the westerly anomalies in the western Pacific.

    Original languageEnglish
    Pages (from-to)5-8
    Number of pages4
    JournalScientific Online Letters on the Atmosphere
    Volume3
    DOIs
    Publication statusPublished - Jan 31 2007

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    Kalman filter
    anomaly
    atmosphere
    sea surface height
    ocean
    sea surface temperature
    altimetry
    zonal wind
    westerly
    temperature anomaly

    All Science Journal Classification (ASJC) codes

    • Atmospheric Science

    Cite this

    Application of the ensemble Kalman filter and smoother to a coupled atmosphere-ocean model. / Ueno, Genta; Higuchi, Tomoyuki; Kagimoto, Takashi; Hirose, Naoki.

    In: Scientific Online Letters on the Atmosphere, Vol. 3, 31.01.2007, p. 5-8.

    Research output: Contribution to journalArticle

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