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Volume 11 Issue 4

Oct.  1994

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 1994 >  11(4): 447-458

A Data-Adaptive Filter of the Tahiti-Darwin Southern Oscillation Index and the Associate Scheme of Filling Data Gaps

  • 1.

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080


doi: 10.1007/BF02658165

  • The Tahiti-Darwin Southern Oscillation index provided by Climate Analysis Center of USA has been used in numerous studies. But, it has some deficiency. It contains noise mainly due to high month-to-month variability. In order to reduce the level of noise in the SO index, this, paper introduces a fully data-adaptive filter based on singular spectrum analysis. Another interesting aspect of the filter is that it can be used to fill data gaps of the SO index by an iterative process. Eventually, a noiseless long-period data series without any gaps is obtained.
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    • Manuscript History

    Manuscript received: 10 October 1994
    Manuscript revised: 10 October 1994
    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

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    A Data-Adaptive Filter of the Tahiti-Darwin Southern Oscillation Index and the Associate Scheme of Filling Data Gaps

    • 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080
    • Manuscript received: 1994-10-10
    • Manuscript revised: 1994-10-10

    Abstract: The Tahiti-Darwin Southern Oscillation index provided by Climate Analysis Center of USA has been used in numerous studies. But, it has some deficiency. It contains noise mainly due to high month-to-month variability. In order to reduce the level of noise in the SO index, this, paper introduces a fully data-adaptive filter based on singular spectrum analysis. Another interesting aspect of the filter is that it can be used to fill data gaps of the SO index by an iterative process. Eventually, a noiseless long-period data series without any gaps is obtained.

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