Advances in Earth Science ›› 2018, Vol. 33 ›› Issue (4): 396-403. doi: 10.11867/j.issn.1001-8166.2018.04.0396

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Objective Analysis on Large-scale Circulation Type and Its Links to Precipitation over China

Liang Chen( ), Jianping Duan *( ), Zhuguo Ma   

  1. CAS Key Laboratory of Regional Climate Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • Received:2017-12-01 Revised:2018-03-01 Online:2018-04-20 Published:2018-05-24
  • Contact: Jianping Duan;
  • About author:

    First author:Chen Liang(1982-),male, Pingxiang City, Jiangxi Province, Associate professor. Research areas include regional climate simulation and land-atmosphere

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Evolution characteristics and dynamic mechanism of extreme temperature events in the southeast of the Qinghai Tibet Plateau over the past 500 years”(No.41471035);The Open fund of Key Laboratory of Land Surface Process and Climate Change in Cold Arid Area of Chinese Academy of Sciences “Influence of land-atmosphere coupling intensity on regional climate in arid regions of Northwest China”(No.LPU2017001).

Liang Chen, Jianping Duan, Zhuguo Ma. Objective Analysis on Large-scale Circulation Type and Its Links to Precipitation over China[J]. Advances in Earth Science, 2018, 33(4): 396-403.

Atmospheric circulation anomaly is a direct cause of weather and climate change. In the past, most researches for the relationship between Weather Type (WT) and precipitation have mainly focused on the subjective classification and diagnosis. Compared to the subjective analysis, objective classification uses more consistent index and standard unification, thus, we can get more WTs, and it has been widely used in many areas. By using daily 12UTC Sea Level Pressure (SLP), Precipitable Water (PW), and 700 hPa wind speed (UV700) data from ECMWF’s Interim Reanalysis, the classification of WTs over China was performed with the method of obliquely rotated T-mode principle component analysis. WT and its link to precipitation over China were further analyzed. The results show that the influence of different WTs on precipitation is not uniform over China, and also show distinctly difference in different seasons. A common feature is that WTs great impact on the regions and months with large precipitation, while less impact on regions and months have with less precipitation. In addition, precipitation trends originating from WT intensity changes are much more deterministic, significant, and predictable than trends from WT frequency changes.

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