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

被引：0

作者：

Ueno, G. ^{[1
]}

Higuchi, T. ^{[1
]}

Kagimoto, T. ^{[2
]}

Hirose, N. ^{[3
]}

机构：

[1] JST CREST, Inst Stat Math, Tokyo, Japan

[2] JAMSTEC, Frontier Res Ctr Global Change, Kanagawa, Japan

[3] Kyushu Univ, Appl Mech Res Inst, RESINS Fukuoka, Japan

来源：

NSSPW: NONLINEAR STATISTICAL SIGNAL PROCESSING WORKSHOP: CLASSICAL, UNSCENTED AND PARTICLE FILTERING METHODS | 2006年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 Ni (n) over tildeo event based on the EnKF can predict consistent Ni (n) over tildeo 3 sea surface temperature (SST) anomalies about 5 months in advance.

引用

页码：125 / +

页数：2

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