ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
A Monitoring and Early Warning Method Based on Regional Radar Network for Severe Convective Weather
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Abstract:
Based on 7 S-band dual polarized weather radars in Ningbo and its surrounding areas, the paper develops a monitoring and early warning method of regional radar network for severe convective weather. The method is quantitatively evaluated through 43 cases of severe convective weather., and the result shows that: 1. The amount of data provided per minute by the regional radars network is about 2.66 times that of Ningbo Radar. And it can provide more information for the observation of boundary layers below 1km; 2. The method can respond promptly to severe convective weather in the observation area. Hail warning and downburst warning can be advanced about 79 minutes and 42.6 minutes respectively ahead of live weather;3. Compared to Ningbo radar station, the monitoring and early warning method of regional radars network identifies the convective initiation about 4 minutes in advance, predicts hail process about 12.2 minutes in advance, and predicts downburst process about 13.3 minutes in advance. At the same time, the early warning accuracy rate of the regional radar network for downburst triggered by Mγ CS reaches 100%; 4. The method can be applied to all the central eastern part of China"s land area as well as a small portion of the western and northeastern regions, covering approximately 44000km^2 of land. And the method could have a good application potential in the Yangtze River Delta region, Hubei to Guangzhou area, and Anhui to Shandong area.
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Project Supported:
U2142211：基于因果推断和物理引导的面向天气预报与气候预测的深度学习理论算法及可解释性研究；U2342216：基于多波段双偏振雷达对流性致灾风暴的精细化识别关键技术研究；42205145：基于天气雷达的渤海湾通道迁飞性昆虫的定量监测与气象因素影响；
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