Neural Network Lightning Prediction Method Based on Doppler Weather Radar

被引：0
|
作者：
Chang, Yue [1 ]
Guo, Zai-Hua [1 ]
Chen, De-Sheng
机构：
[1] Chengdu Univ Informat Technol, Chengdu 610225, Sichuan, Peoples R China
来源：
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 1: ENGINEERING COMPUTATION AND FINITE ELEMENT ANALYSIS | 2010年
关键词：
neural network; lightning prediction; Doppler weather radar;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A neural network-based method is used to predict the lightning for the thunderstorm with the Doppler weather radar data. Cloud-to-ground lightning data from the Lightning Location System of Hunan province, and the Doppler weather radar-derived products in Changsha station are used to train the network. The Doppler weather radar derived-products: reflectivity, VIL, echo top heights are considered as the forecasting factors to build the prediction model of the neural network for predicting the lightning of the area of Changsha.
引用
收藏
页码：85 / 88
页数：4
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