双层PCT天气分型法的建立及其应用

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Abstract This paper proposes a new double-layer PCT weather classification method. This method separately classifies weather data from the high-level background field and the low-level ground field, and then combines, classifies, and adjusts all initial classes to form the final classification. The winter weather information over the lower reaches of the Yangtze River from 2014 to 2019 was collected and used in this study. As a result, 8 main weather patterns were classified as: weak pressure field, cold front transit, high pressure front, high pressure bottom, high pressure control, high pressure rear, inverted trough front and inverted trough rear. Among them, the weak pressure field had the highest proportion (26.6%) and the lowest ventilation coefficient (3518m²/s in daytime, 1373m²/s at night), and the pollution rate was higher in common weather types. We observed four main moving paths of the winter high pressure over the lower reaches of the Yangtze River of which the "high pressure front-high pressure bottom-high pressure rear" path was the most frequent (accounting for 42.9%), and this kind of path has been proven to be most unfavorable for accumulating atmospheric pollutants through quiet and stable weather. Our typing results finally verify that the double-layer PCT weather classification method has better accuracy and stability than the traditional one.

Key words： objective synoptic weather pattern classification double-layer classification method PCT lower reaches of the Yangtze River

Received: 03 June 2021

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X513

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	Articles by authors
	CAI Xu-zhang
	WANG Cheng-gang
	WANG Hua-qing
	LAO Xiu-feng

Cite this article:

CAI Xu-zhang,WANG Cheng-gang,WANG Hua-qing等. The establishment of double-layer PCT classification method and its application[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 1-10.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I1/1

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