中国物理B ›› 2015, Vol. 24 ›› Issue (5): 59202-059202.doi: 10.1088/1674-1056/24/5/059202

• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇    下一篇

Extra-seasonal prediction of summer 500-hPa height field in the area of cold vortices over East Asia with a dynamical-statistical method

赵俊虎a, 杨柳a b, 侯威a, 刘刚a c, 曾宇星a c   

  1. a National Climate Center, China Meteorological Administration, Beijing 100081, China;
    b Department of Physical Science and Technology, Yangzhou University, Yangzhou 225002, China;
    c College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
  • 收稿日期:2014-08-15 修回日期:2015-01-09 出版日期:2015-05-05 发布日期:2015-05-05
  • 基金资助:

    Project supported by the National Natural Science Foundation of China (Grant No. 41375078), the National Basic Research Program of China (Grant Nos. 2012CB955902 and 2013CB430204), and the Special Scientific Research Fund of Public Welfare Profession of China (Grant No. GYHY201306021).

Extra-seasonal prediction of summer 500-hPa height field in the area of cold vortices over East Asia with a dynamical-statistical method

Zhao Jun-Hu (赵俊虎)a, Yang Liu (杨柳)a b, Hou Wei (侯威)a, Liu Gang (刘刚)a c, Zeng Yu-Xing (曾宇星)a c   

  1. a National Climate Center, China Meteorological Administration, Beijing 100081, China;
    b Department of Physical Science and Technology, Yangzhou University, Yangzhou 225002, China;
    c College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
  • Received:2014-08-15 Revised:2015-01-09 Online:2015-05-05 Published:2015-05-05
  • Contact: Zhao Jun-Hu E-mail:zhaojh@cma.gov.cn
  • About author:92.60.Ry
  • Supported by:

    Project supported by the National Natural Science Foundation of China (Grant No. 41375078), the National Basic Research Program of China (Grant Nos. 2012CB955902 and 2013CB430204), and the Special Scientific Research Fund of Public Welfare Profession of China (Grant No. GYHY201306021).

摘要:

The cold vortex is a major high impact weather system in northeast China during the warm season, its frequent activities also affect the short-term climate throughout eastern China. How to objectively and quantitatively predict the intensity trend of the cold vortex is an urgent and difficult problem for current short-term climate prediction. Based on the dynamical-statistical combining principle, the predicted results of the Beijing Climate Center's global atmosphere–ocean coupled model and rich historical data are used for dynamic-statistical extra-seasonal prediction testing and actual prediction of the summer 500-hPa geopotential height over the cold vortex activity area. The results show that this method can significantly reduce the model's prediction error over the cold vortex activity area, and improve the prediction skills. Furthermore, the results of the sensitivity test reveal that the predicted results are highly dependent on the quantity of similar factors and the number of similar years.

关键词: cold vortex, dynamical-statistical combining principle, extra-seasonal prediction

Abstract:

The cold vortex is a major high impact weather system in northeast China during the warm season, its frequent activities also affect the short-term climate throughout eastern China. How to objectively and quantitatively predict the intensity trend of the cold vortex is an urgent and difficult problem for current short-term climate prediction. Based on the dynamical-statistical combining principle, the predicted results of the Beijing Climate Center's global atmosphere–ocean coupled model and rich historical data are used for dynamic-statistical extra-seasonal prediction testing and actual prediction of the summer 500-hPa geopotential height over the cold vortex activity area. The results show that this method can significantly reduce the model's prediction error over the cold vortex activity area, and improve the prediction skills. Furthermore, the results of the sensitivity test reveal that the predicted results are highly dependent on the quantity of similar factors and the number of similar years.

Key words: cold vortex, dynamical-statistical combining principle, extra-seasonal prediction

中图分类号:  (Climatology, climate change and variability)

  • 92.60.Ry