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《Acta Scientiarum Naturalium Universitatis Pekinensis》 2006-01
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An Nonlinear Time Series Analysis Method for Reconstruction of Sea Surface Temperature (SST) Anomalies

ZHOU Baiyan LI Xiaodong(Department of Atmospheric science, Peking University, Beijing, 100871)  
A nonlinear time series analysis method has been used for reconstruction of sea surface temperature (SST) anomalies. The method involves principal components analysis, phase space reconstruction and least squares estimate. It differs from traditional linear fitting methods in the way that temporal information is used instead of spatial information. The method is demonstrated on CZ model data and proves to be a success.
【Fund】: 国家自然科学基金项目(40305006);; 科技部科研院所社会公益专项基金(2002DIB20070)资助
【CateGory Index】: P732.1
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