Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (8): 230-234.DOI: 10.3778/j.issn.1002-8331.1509-0350

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Automatic recognition and drawing of low-level jet based on wind field information of MICAPS

LU Zhiying1, DIAO Changying1, LU Huanzhen2, JIA Huizhen2   

  1. 1.School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
    2.Tianjin Meteorological Bureau, Tianjin Meteorological Observatory, Tianjin 300074, China
  • Online:2017-04-15 Published:2017-04-28



  1. 1.天津大学 电气与自动化工程学院,天津 300072
    2.天津市气象局 天津市气象台,天津 300074

Abstract: It is too inefficient to draw low level jet artificially and there are a lot of subjective factors. In order to solve this problem effectively, a method that can achieve automatic identification of low-level jet is presented. Conventional meteorological data, intensive Automatic Weather Stations(AWS) observation data, wind field information of MICAPS and feature of low level jet are used in this method. Automatic recognition of low-level jet on 850 hPa constant-pressure surface in coastal areas of east China has been realized by pretreatment, clustering and fitting. A large number of experiments show that the automatic recognized jet stream satisfies the meteorological requirement. In addition, the efficiency is also improved.

Key words: wind field, low-level?jet, automatic recognition, clustering, fitting

摘要: 人工绘制低空急流效率过低并且存在很多主观因素,为有效地解决这一问题提出了低空急流自动识别的方法。该方法利用常规观测资料、加密自动站资料和MICAPS风场信息,结合低空急流特征,通过预处理、聚类、拟合等步骤实现了850 hPa等压面上中国东部沿海地区低空急流的自动识别。测试结果表明:利用该方法自动识别的急流能够满足气象要求,并且识别效率得到提高。

关键词: 风场, 低空急流, 自动识别, 聚类, 拟合