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中国农学通报 ›› 2017, Vol. 33 ›› Issue (13): 94-100.doi: 10.11924/j.issn.1000-6850.casb16100052

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

新乡市2016年麦收期2次强对流天气对比分析

王金兰   

  1. (新乡市气象局,河南新乡 453003)
  • 收稿日期:2016-10-13 修回日期:2017-04-12 接受日期:2017-01-16 出版日期:2017-05-16 发布日期:2017-05-16
  • 通讯作者: 王金兰
  • 基金资助:
    中国气象局关键技术集成项目“强风暴发展演变特征及短临预报关键技术集成”(CMAGJ2015M36)。

Two Severe Convection Processes During Wheat Harvest in Xinxiang, 2016

Wang Jinlan   

  1. (Xinxiang Meteorological Bureau, Xinxiang Henan 453003)
  • Received:2016-10-13 Revised:2017-04-12 Accepted:2017-01-16 Online:2017-05-16 Published:2017-05-16

摘要: 为了研究麦收期间强对流天气的发生发展规律,利用常规观测资料、中尺度分析产品和卫星雷达资料,对新乡市2016年麦收期2次强对流过程进行对比分析。结果表明:6月4日的强对流是由地面辐合线触发的;6月5日的强对流是地面冷空气触发的;上干冷下暖湿的垂直结构是产生强对流天气的有利条件;三体散射和悬垂结构预示有冰雹和雷雨大风;中尺度辐合线、辐合区、逆风区的出现和维持是产生局地强降水的一个比较有用的预报依据;维持较大的垂直液态含水量可产生比较大的降水。由此提炼出不同类型强对流天气的预报预警指标,为农业防灾减灾提供科学参考,最大限度地减轻气象灾害造成的不利影响。

关键词: 灰树花, 灰树花, 多糖, 葡萄糖, 蛋白胨

Abstract: To study the occurrence and development rules of severe convective weather during the wheat harvest time, we comparatively analyzed two severe convective processes in Xinxiang during the wheat harvest in 2016, based on conventional observation data, mesoscale analysis products, satellite data and radar data. The results showed that: the severe convective process on June 4 was triggered by surface convergence line; the severe convective process on June 5 was triggered by surface cold air; the vertical structure that was dry and cold in upper and warm and wet in lower was beneficial to generate severe convective weather process; threebody scattering signs and suspended structure indicated the occurrences of hail, thunderstorm and strong wind; the occurrence and maintain of mesoscale convergence line, convergence zone and the upwind area were useful forecasting basis for local heavy rain; maintaining the large vertical integrated liquid could form larger rain than normal. This study could summarize forecasting and warning index for different types of severe convective weather, provide references for preventing and mitigating agriculture disasters to maximally alleviate the adverse effect caused by meteorological disasters.

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