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晴空回波的大气风温湿结构及双偏振雷达参量分析

黄琴 魏鸣 胡汉峰 ABRO Mohammad Ilyas

气象2018,Vol.44Issue(4):526-537,12.
气象2018,Vol.44Issue(4):526-537,12.DOI:10.7519/j.issn.1000-0526.2018.04.006

晴空回波的大气风温湿结构及双偏振雷达参量分析

Analysis of Atmospheric Wind,Temperature and Humidity Structure and Dual-Polarization Radar Parameters of Clear Air Echo

黄琴 1魏鸣 2胡汉峰 1ABRO Mohammad Ilyas2

作者信息

  • 1. 南京信息工程大学,气象灾害预报预警与评估协同创新中心,南京210044
  • 2. 中国气象局气溶胶与云降水重点开放实验室,南京信息工程大学,南京210044
  • 折叠

摘要

Abstract

Clear air echo (CAE) helps to understand the structure of wind,temperature and humidity of the atmosphere;dual-polarization Doppler weather radar provides a wealth of information in detecting atmos-phere.In this paper,CAE of Nanjing University of Information Science and Techonogy,C-Pol dual-polari-zation radar in summer of 2015 is taken as cases to analyze the wind,temperature and humidity structure of atmosphere and the impact factors of CAE,combined with the sounding observations.The characteristics of radar reflectivity factor Z,radial velocity Vrand differential reflectivity factor ZDRof CAE are analyzed. The results show that the uneven distribution of refractive index caused by the temperature,pressure and humidity gradients and the turbulence enhancement induced by the background wind field can cause the clear sky echo.The echo mechanism is turbulent scattering.The differential reflectivity factor is affected by the Doppler effect.The ZD Rof CAE has different characteristics in different wind and air turbulence sit-uations.The results are helpful for better understanding the impact of atmospheric wind,temperature and humidity structure on radar electro-magnetic scattering and the quality control of radar data.

关键词

晴空回波/双偏振雷达/湍流散射/大气风/温湿结构

Key words

clear air echo(CAE)/dual-polarization radar/turbulence scattering/atmospheric wind/temperature and humidity structure

分类

天文与地球科学

引用本文复制引用

黄琴,魏鸣,胡汉峰,ABRO Mohammad Ilyas..晴空回波的大气风温湿结构及双偏振雷达参量分析[J].气象,2018,44(4):526-537,12.

基金项目

国家自然科学基金项目(41675029)、国家重点基础研究发展计划(973计划)(2013CB430102)、地理信息科学教育部重点实验室开放研究基金资助项目(KLGIS2015A01)和中国气象科学研究院灾害天气国家重点实验室开放课题(2016LASW-B12)共同资助 (41675029)

气象

OA北大核心CSCDCSTPCD

1000-0526

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