基于多普勒天气雷达的一次对流天气短临预报分析

Abstract
Figure/Table
References
Related Citation (7)

Download: HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to improve the accuracy of radar in convective weather recognition and short-term forecasting,the physical parameters and scanning strategies of Doppler weather radar were analyzed,with a focus on exploring the key applications of radar data in monitoring severe convective weather.Basic parameters such as radar reflectivity factor,radial velocity,spectral width,and volumetric scanning data were used to enhance the ability to extract features such as hail,short-term heavy precipitation,and tornadoes through algorithm optimization and dynamic threshold setting.Systematically analyzed the correlation between Doppler radar data characteristics and convective weather systems,and constructed customized parameter configuration schemes for different weather systems.The research results show that the reasonable application of Doppler weather radar technology has positive practical significance for improving the accuracy of short-term forecasting,and has significant application value for optimizing meteorological forecasting services and agricultural production safety.

Key words： Doppler weather radar convective weather short and temporary forecast radar data processing radar echo feature identification

Received: 25 February 2025

ZTFLH:

P415.2

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Chen Ping
	Han Qian

Cite this article:

Chen Ping,Han Qian. An analysis of short-term forecast ideas for convective weather based on Doppler weather radar[J]. Meteorological Hydrological and Marine Instrument, 2025, 42(3): 48-51.

URL:

http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2025/V42/I3/48

[1]	贾颜碧,贺贵春,潘雨苗.山西夏季强对流天气的环境参数分析与预报方法研究[J].气象水文海洋仪器,2025,42(1):74-77.
[2]	陆伟,马辉,张蓉蓉,等.冷涡背景下泰州地区强对流特征分析[J].气象水文海洋仪器,2025,42(1):81-83.
[3]	扎西宗吉,益西曲珍,旦增,等.日喀则市桑珠孜区“7·18”致灾强对流天气过程成因分析[J].气象水文海洋仪器,2024,41(4):65-67.
[4]	罗楚耀.面向短临降雨预报的雷达数据深度回归预测方法研究[D].哈尔滨:哈尔滨工业大学,2022.
[5]	吴彬.灾害性对流天气的双偏振多普勒雷达监测与机理研究[D].南京: 南京信息工程大学,2023.
[6]	王奉贤.基于CGAN深度学习的MODIS云观测3D云雷达反射率反演技术研究[D].南京: 南京信息工程大学,2023.
[7]	朱家亮,潘江萍,邱丽静,等.基于多源数据的湘北地区春季一次冰雹过程的观测分析[J].中低纬山地气象,2022,46(2):46-54.
[8]	周琴,谢启玉,安海燕.青海东部两次大暴雨过程雷达产品特征对比分析[J].青海科技,2023,30(2):138-146.
[9]	程浩.多普勒天气雷达信息处理中的变分问题与风场反演研究[D].南京: 南京信息工程大学,2022.
[10]	王春红,谭艳梅,王清平,等.多种资料在乌鲁木齐机场浓雾天气监测预报中的运用[J].民航学报,2022,6(1):60-64,55.