Statistical Prediction of the South China Sea Surface Height Anomaly

Statistical Prediction of the South China Sea Surface Height Anomaly

Based on the simple ocean data assimilation (SODA) data, this study analyzes and forecasts the monthly sea surface height anomaly (SSHA) averaged over South China Sea (SCS). The approach to perform the analysis is a time series decomposition method, which decomposes monthly SSHAs in SCS to the follo...

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Bibliographic Details
Main Authors: Caixia Shao, Weimin Zhang, Chunjian Sun, Xinmin Chai, Zhimin Wang
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2015/907313
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