| Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China |
| |
| 作者姓名： | 黄嘉佑 谭本馗 所玲玲 胡永云 |
| |
| 作者单位： | 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 |
| |
| 摘 要： | 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.
|
| 关 键 词： | 北极 温度场 月际变化 最小二乘法 中国 气温变化 |
| 收稿时间： | 25 May 2006 |
| 修稿时间： | 2006-05-25 |
Monthly changes in the influence of the Arctic Oscillation on surface air temperature over China |
| |
| Huang?Jiayou,Tan?Benkui,Suo?Lingling,Hu?Yongyun.Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China[J].Advances in Atmospheric Sciences,2007,24(5):799-807. |
| |
| Authors: | Huang Jiayou Tan Benkui Suo Lingling Hu Yongyun |
| |
| Institution: | 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 |
| |
| 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. |
| |
| Keywords: | arctic oscillation temperature field monthly changes partial least squares regression |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《大气科学进展》浏览原始摘要信息 |
| 点击此处可从《大气科学进展》下载免费的PDF全文 |
