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Response Process of Ocean to Atmospheric Forcing and Optimal Response Frequency in the CZ Ocean Model


doi: 10.1007/BF02657027

  • Ocean response to atmospheric forcing in the CZ ocean model is analyzed. The results show that Nino 3 index from the CZ ocean model driven by linear composite of biennial, ENSO and even annual time scale wind stress anomalies is consistent well with composite of responding two or three components of observed Nino 3 index during the El Nino period while the La Nina phenomena cannot be reproduced by the linear composite. It implies that linear response process for ocean response to atmospheric forcing is dominated during the El Nino period while nonlinear response might be main process during the La Nina period Simulated results also suggest that optimal response frequency of the CZ ocean model is the frequency lower than annual variability and ocean response to the atmospheric forcing with annual time scale can give rise to incorrect signal-errors in the simulated SSTA field
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Manuscript History

Manuscript received: 10 January 1996
Manuscript revised: 10 January 1996
通讯作者: 陈斌, bchen63@163.com
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Response Process of Ocean to Atmospheric Forcing and Optimal Response Frequency in the CZ Ocean Model

  • 1. Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,,

Abstract: Ocean response to atmospheric forcing in the CZ ocean model is analyzed. The results show that Nino 3 index from the CZ ocean model driven by linear composite of biennial, ENSO and even annual time scale wind stress anomalies is consistent well with composite of responding two or three components of observed Nino 3 index during the El Nino period while the La Nina phenomena cannot be reproduced by the linear composite. It implies that linear response process for ocean response to atmospheric forcing is dominated during the El Nino period while nonlinear response might be main process during the La Nina period Simulated results also suggest that optimal response frequency of the CZ ocean model is the frequency lower than annual variability and ocean response to the atmospheric forcing with annual time scale can give rise to incorrect signal-errors in the simulated SSTA field

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