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环渤海地区雾天气分型及预报方法

陈东辉 尚子溦 宁贵财 冯强 尚可政 王式功 曹建奎

气象2017,Vol.43Issue(1):46-55,10.
气象2017,Vol.43Issue(1):46-55,10.DOI:10.7519/j.issn.1000-0526.2017.01.005

环渤海地区雾天气分型及预报方法

Classification of Fog Synoptic Situation and Forecasting Method Around Bohai Sea Coastal Areas

陈东辉 1尚子溦 2宁贵财 3冯强 1尚可政 1王式功 4曹建奎1

作者信息

  • 1. 兰州大学大气科学学院,甘肃省干旱气候变化与减灾重点实验室,兰州 730000
  • 2. 中国人民解放军65061 部队,沈阳 110027
  • 3. 中国科学院遥感与数字地球研究所,北京 100094
  • 4. 中国科学院遥感与数字地球研究所,北京 100094
  • 折叠

摘要

Abstract

Anstract:Based on the conventional observation data,NCEP geopotential height and wind reanalysis data from National Centers for Environmental Prediction,the process of fog is analyzed by taking use of the method of synoptic meteorology.It turns out that there are three types of synoptic situation at 500 hPa when the regional fog around the Bohai Sea coastal areas occurs,which are zonal flow,low trough,high pressure ridge,and four types of surface synoptic situation,which are frontal cyclone,high pressure fore-part,uniform pressure field and weak high pressure.According to the characteristics of the ridges and troughs,high and low pressure centers,an objective and automatic identification system is designed.Fur-thermore,multiple moisture condition,stratification stability condition and wind speed condition are calcu-lated on the basis of T639 model output.The 1000 hPa depression of dew point,1000 hPa wind speed, temperature difference between 925 hPa and 850 hPa,and M index are selected as physical diagnosis fac-tors after diagnostic and correlation analyses.Thus,a forecasting system combining automatic identifica-tion of synoptic situation and T639 is established,which can forecast the space and time of the fog around the Bohai Sea coastal areas within the next 1-3 days.Experimental results show that good results have been achieved.

关键词

/T6 3 9 数值产品/天气形势/自动识别/预报

Key words

fog/T639 output/synoptic situation/automatic identification/forecast

分类

天文与地球科学

引用本文复制引用

陈东辉,尚子溦,宁贵财,冯强,尚可政,王式功,曹建奎..环渤海地区雾天气分型及预报方法[J].气象,2017,43(1):46-55,10.

基金项目

中国气象局北京城市气象研究所项目(20141125)、国家基础科技条件平台建设专项(NCMI-SBS17-201607、2016NCMIZX09和NCMI-SJSIS-201607)、公益性行业(气象)科研专项(GYHY201306047)、中国科学技术协会灾害风险综合研究项目(IRDR2012-I01)及中国科学院与发展中国家科学院空间减灾卓越中心国际合作研究项目(常规类)(SDIM-Y3YI2701KB)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

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