首页 | 本学科首页   官方微博 | 高级检索  
     

大气对流初生的研究进展与展望
引用本文:姚秀萍,曹晓敏. 大气对流初生的研究进展与展望[J]. 大气科学学报, 2023, 46(6): 940-949
作者姓名:姚秀萍  曹晓敏
作者单位:中国气象局 气象干部培训学院, 北京 100081;中国气象科学研究院 灾害天气国家重点实验室, 北京 100081;中国气象局 气象干部培训学院, 北京 100081;青海省气象台, 青海 西宁 810001
基金项目:风云卫星应用先行计划(2022)任务(FY-APP-2022.0102);第二次青藏高原综合科学考察研究项目(2019QZKK0105);国家自然科学基金资助项目(42030611;42275013)
摘    要:大气中的对流初生(Convective Initiation,CI)是强对流天气发生的重要征兆,是强对流天气预报预警的重点所在,近些年越来越被关注。本文回顾了国内外CI的研究进展,主要包括CI的定义、基于雷达数据和卫星数据的CI成熟算法、CI局地时空分布特征、影响CI的主要因子等方面。在此基础上,对CI未来研究作一展望,以期加深对CI的认识,为强对流天气短临预报预警提供参考依据。

关 键 词:对流初生  算法  特征  机制  进展  展望
收稿时间:2023-02-24
修稿时间:2023-04-25

Research progress and prospect of atmospheric convection initiation
YAO Xiuping,CAO Xiaomin. Research progress and prospect of atmospheric convection initiation[J]. Transactions of Atmospheric Sciences, 2023, 46(6): 940-949
Authors:YAO Xiuping  CAO Xiaomin
Affiliation:Chinese Meteorological Administration Training Centre, Beijing 100081, China;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Chinese Meteorological Administration Training Centre, Beijing 100081, China;Qinghai Meteorological Observatory, Xining 810001, China
Abstract:Convective initiation (CI) in the atmosphere is an important symptom of severe convective weather and the focus of severe convective weather forecast and early warning,which has been paid more and more attention in recent years.This paper reviews the research progress of CI at home and abroad,mainly including the definition of CI,mature CI algorithm based on radar data and satellite data,local space-time distribution characteristics of CI,and main factors affecting CI.On this basis,the future research of CI is prospected in order to deepen the understanding of CI and provide reference for the short-term and imminent forecast and early warning of severe convective weather.
Keywords:convection initiation(CI)  algorithm  features  mechanism  advances  prospects
点击此处可从《大气科学学报》浏览原始摘要信息
点击此处可从《大气科学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号