Climate Change Research ›› 2020, Vol. 16 ›› Issue (1): 70-77.doi: 10.12006/j.issn.1673-1719.2019.075

• Changes in Climate System • Previous Articles     Next Articles

Contribution of Pacific Decadal Oscillation to interdecadal variability of winter minimum temperature in China

Dai WANG1,2,Yin-Chuan SUN1,2(),Qing-Long YOU3   

  1. 1 Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, China Meteorological Administration, Yinchuan 750002, China
    2 Ningxia Key Laboratory of Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China
    3 Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China;
  • Received:2019-04-10 Revised:2019-07-22 Online:2020-01-30 Published:2020-01-15
  • Contact: Yin-Chuan SUN E-mail:sunyc@126.com

Abstract:

Based on homogeneity-adjusted temperature data of meteorological stations in China, NOAA monthly mean sea temperature data, and CMIP5 climate model data from 1961 to 2013, the contribution of the Pacific Decadal Oscillation (PDO) to the interdecadal variability of China’s winter minimum temperature was quantitatively analyzed by using climatic statistic methods. Results show that the interdecadal sequence of PDO has significant positive correlation with minimum temperature pattern of decadal filtering at most areas in China, winter minimum temperature is low when PDO is in negative phase, while conversely is high. The phenomenon of hiatus of winter minimum temperature after 2006, is mainly caused by cooling effect of natural variability, in which PDO plays a leading role, accounting for about 40% of natural variability contribution. The contribution of PDO to temperature presents an obvious interdecadal change. PDO has negative contribution to warming, and gradually increase to exceed 50% during 2006-2013.

Key words: China area, Pacific Decadal Oscillation (PDO), Minimum temperature, Interdecadal variability, Contribution

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