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Volume 24 Issue 5

Sep.  2007

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2007 >  24(5): 799-807

Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China

  • 1.

    Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871


doi: 10.1007/s00376-007-0799-x

  • Partial Least Squares Regression (PLSR) is used to study monthly changes in the influence of the Arctic Oscillation (AO) on spring, summer and autumn air temperature over China with the January 500 hPa geopotential height data from 1951 to 2004 and monthly temperature data from January to November at 160 stations in China. Several AO indices have been defined with the 500-hPa geopotential data and the index defined as the first principal component of the normalized geopotential data is best to be used to study the influence of the AO on SAT (surface air temperature) in China. There are three modes through which the AO in winter influences SAT in China. The influence of the AO on SAT in China changes monthly and is stronger in spring and summer than in autumn. The main influenced regions are Northeast China and the Changjiang River drainage area.
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    • Manuscript History

    Manuscript received: 10 September 2007
    Manuscript revised: 10 September 2007
    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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    Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China

    • 1. Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871
    • Manuscript received: 2007-09-10
    • Manuscript revised: 2007-09-10

    Abstract: Partial Least Squares Regression (PLSR) is used to study monthly changes in the influence of the Arctic Oscillation (AO) on spring, summer and autumn air temperature over China with the January 500 hPa geopotential height data from 1951 to 2004 and monthly temperature data from January to November at 160 stations in China. Several AO indices have been defined with the 500-hPa geopotential data and the index defined as the first principal component of the normalized geopotential data is best to be used to study the influence of the AO on SAT (surface air temperature) in China. There are three modes through which the AO in winter influences SAT in China. The influence of the AO on SAT in China changes monthly and is stronger in spring and summer than in autumn. The main influenced regions are Northeast China and the Changjiang River drainage area.

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