A Comparative Study on Machine Learning Approaches to Thunderstorm Gale Identification-Reference-Cited by-同舟云学术

A Comparative Study on Machine Learning Approaches to Thunderstorm Gale Identification

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19
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Author:

Li Haifeng¹,Li Yan²,Li Xutao¹,Ye Yunming¹,Li Xian¹,Xie Pengfei¹

Affiliation:

1. Shenzhen Key Laboratory of Internet Information Collaboration, Harbin Institute of Technology, Shenzhen, China

2. School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, China

Publisher

ACM Press

Reference11 articles.

1. Johns R H, Hirt W D. 1987. Derechos: Widespread convectively induced windstorms. Weather Forecasting, 2(1): 32--49.

2. Darrah R P. 1978. On the relationship of severe weather to radar tops. Mon Wea Rev, 106(9): 1332--1339.

3. Yu Xiaoding, Zhou Xiaogang, Wang Xiuming. 2012. The progress of forecasting technology for thunderstorms and strong convections weather. Journal of Meteorology, 70(3): 311--337.

4. Dong Gaohong, Wu Tao. 2007. The application of vertical integrated liquid water content in ground wind forecasting. Meteorological technology, 35(6): 877--881.

5. Yan Xiuguang, Zhang Xinhua, Zhu Junjian. 2009. Application of CINRAD / SA Radar Storm Trend Products in hail and strong wind warning. Meteorological technology, 37(2): 230--233.

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