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常规与非常规观测资料在局地冰雹强对流天气中的精细化对比应用

史辰 刘文军 张玮 王莹 李春玲

安徽农业科学2018,Vol.46Issue(8):147-152,6.
安徽农业科学2018,Vol.46Issue(8):147-152,6.

常规与非常规观测资料在局地冰雹强对流天气中的精细化对比应用

Contrast and Application of Conventional and Unconventional Observational Data in Local Hail Strong Convective Weather

史辰 1刘文军 1张玮 1王莹 1李春玲1

作者信息

  • 1. 北京市海淀区气象局,北京100080
  • 折叠

摘要

Abstract

Using the observation data of Beijing automatic station and the conventional and unconventional observation data of Haidian National Meteorological Observatory in Beijing,from the perspective of forecasting and warning service of regional meteorological stations, a severe con-vective hail weather on June 10,2016 was analyzed.The results showed that the haze strong convection process was triggered by the combination of high-altitude and low-vortex,low trough and ground cold front,which was caused by the ground convergence lines and high temperature and high humidity heat instability.A comprehensive analysis of the distribution of ground conventional elements in city's range found that the thermal and dynamical effects of complex underlying surfaces provided a series of triggering mechanisms for the enhancement of convective development. For the emergence of high temperature and high humidity,convergence line, convergent vortex and other features, should cause great concern. Comprehensive air pressure,temperature,wind speed,horizontal visibility and other local routine observation of changes in factors,for the system had not affected the local,the pressure began to decline 30 min before the rain began to decline was the first recognized.Distribution changes of horizontal wind field and atmospheric refractive index structure constant in wind profile radar compared to conventional ground automatic station data for the identification and prediction of the strong convection weather characteristics was more significant.

关键词

冰雹/强对流/常规资料/非常规资料

Key words

Hail/Strong convection/Conventional data/Unconventional data

分类

农业科技

引用本文复制引用

史辰,刘文军,张玮,王莹,李春玲..常规与非常规观测资料在局地冰雹强对流天气中的精细化对比应用[J].安徽农业科学,2018,46(8):147-152,6.

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