DocumentCode :
2024299
Title :
Application of the Ensemble Kalman Filter to Atmosphere-Ocean Coupled Model
Author :
Ueno, G. ; Higuchi, T. ; Kagimoto, T. ; Hirose, N.
Author_Institution :
The Institute of Statistical Mathematics / JST CREST, Tokyo, Japan
fYear :
2006
fDate :
13-15 Sept. 2006
Firstpage :
125
Lastpage :
128
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 ofthe 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.
Keywords :
Altimetry; Atmospheric modeling; Gaussian noise; Mathematics; Noise generators; Nonlinear dynamical systems; Nonlinear equations; Ocean temperature; Predictive models; Sea surface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
Conference_Location :
Cambridge, UK
Print_ISBN :
978-1-4244-0581-7
Electronic_ISBN :
978-1-4244-0581-7
Type :
conf
DOI :
10.1109/NSSPW.2006.4378835
Filename :
4378835
Link To Document :
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