A New Multidimensional Time Series Forecasting Method Based on the EOF Iteration Scheme

Zhang Banglin; Liu Jie; Sun Zhaobo

doi:10.1007/BF02919147

Impact Factor: 5.8

Volume 10 Issue 2

Mar. 1993

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1993 > 10(2): 243-247

A New Multidimensional Time Series Forecasting Method Based on the EOF Iteration Scheme

1.
Institute of Atmospheric Physics, Beijing 100080,Institute of Atmospheric Physics, Beijing 100080,Nanjing Institute of Meteorology, Nanjing 210044

doi: 10.1007/BF02919147

Abstract
References
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Abstract:
In this paper a new multidimensional time series forecasting scheme based on the empirical orthogonal func-tion (EOF) stepwise iteration process is introduced. The scheme is tested in a series of forecast experiments of Nino3 SST anomalies and Tahiti-Darwin SO index. The results show that the scheme is feasible and ENSO predictable.
References

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Manuscript History

Manuscript received: 10 March 1993

Manuscript revised: 10 March 1993

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

A New Multidimensional Time Series Forecasting Method Based on the EOF Iteration Scheme

1. Institute of Atmospheric Physics, Beijing 100080,Institute of Atmospheric Physics, Beijing 100080,Nanjing Institute of Meteorology, Nanjing 210044

Manuscript received: 1993-03-10
Manuscript revised: 1993-03-10

Abstract: In this paper a new multidimensional time series forecasting scheme based on the empirical orthogonal func-tion (EOF) stepwise iteration process is introduced. The scheme is tested in a series of forecast experiments of Nino3 SST anomalies and Tahiti-Darwin SO index. The results show that the scheme is feasible and ENSO predictable.