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L波段探空雷达秒数据在污染天气边界层分析中的应用

刘超 花丛 张恒德 吕梦瑶 张碧辉

气象2017,Vol.43Issue(5):591-597,7.
气象2017,Vol.43Issue(5):591-597,7.DOI:10.7519/j.issn.1000-0526.2017.05.008

L波段探空雷达秒数据在污染天气边界层分析中的应用

Application of L-Band Radar Sounding Data in Analyzing Polluted Weather Boundary Layer

刘超 1花丛 1张恒德 1吕梦瑶 1张碧辉1

作者信息

  • 1. 国家气象中心,北京100081
  • 折叠

摘要

Abstract

The purpose of this study is to investigate boundary layer heights calculated by Richardson number method,inversion method and potential temperature gradient method,and compare them with Nozaki's method based on L-band radar sounding data in Beijing in November and December 2014.The similarities and differences of the boundary layer results calculated by the four methods during the two heavy pollution periods in 27 November to 1 December and 15-20 December 2014 are analyzed in details by using vertical profiles of meteorological elements and PM2.5 data in the same periods.The results show that the boundary layer heights calculated by Richardson number method,inversion method and potential temperature gradient method are 653 m,1152 m and 1296 m in Beijing in November and December 2014 respectively,and the calculated boundary layer heights are negatively correlated with PM2.5 concentration in some degrees.The statistical probability results show that distribution of boundary layer heights below 500 m has the biggest probability,but there are some differences in other height ranges.Through the two typical heavy pollution periods,we found that different methods have applicability and limitation.Therefore,it is necessary to combine the vertical profiles of meteorological factors and pollutant concentrations with subjective judgment,which would help to determine the height of boundary layer.

关键词

L波段探空雷达秒数据/污染天气/边界层高度/PM2.5

Key words

L-band radar sounding data/pollution weather/boundary layer height/PM2.5

分类

天文与地球科学

引用本文复制引用

刘超,花丛,张恒德,吕梦瑶,张碧辉..L波段探空雷达秒数据在污染天气边界层分析中的应用[J].气象,2017,43(5):591-597,7.

基金项目

公益性行业(气象)科研专项(GYHY201306015)、气象关键技术集成与应用重点项目(CMAGJ2014Z16)、雾-霾预报天气学研究及国家级雾-霾预报预警业务示范(2014BAC16B02)、科技部大气污染专项课题(2016YFC0203301)和公益性行业(环保)科研专项(201509001)共同资助 (气象)

气象

OA北大核心CSCDCSTPCD

1000-0526

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