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Forecasting Different Types of Convective Weather: A Deep Learning Approach

Kanghui ZHOU Yongguang ZHENG Bo LI Wansheng DONG Xiaoling ZHANG

气象学报（英文版）2019，Vol.33Issue(5)：797-809,13.
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气象学报（英文版）2019，Vol.33Issue(5)：797-809,13.

Forecasting Different Types of Convective Weather: A Deep Learning Approach

Forecasting Different Types of Convective Weather: A Deep Learning Approach

Kanghui ZHOU 1Yongguang ZHENG 2Bo LI 3Wansheng DONG 3Xiaoling ZHANG4

作者信息

  • 1. Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing100081, China
  • 2. University of Chinese Academy of Sciences, Beijing100049, China
  • 3. National Meteorological Center, China Meteorological Administration, Beijing100081, China
  • 4. University of Illinois at Urbana-Champaign, Champaign, IL61820, USA
  • 折叠

摘要

关键词

deep learning/convolutional neural network/convective weather/forecasting

Key words

deep learning/convolutional neural network/convective weather/forecasting

引用本文复制引用

Kanghui ZHOU,Yongguang ZHENG,Bo LI,Wansheng DONG,Xiaoling ZHANG..Forecasting Different Types of Convective Weather: A Deep Learning Approach[J].气象学报（英文版）,2019,33(5):797-809,13.

基金项目

Supported by the National Key Research and Development Program of China (2017YFC1502000 and 2018YFC1507504) and Natio-nal Natural Science Foundation of China (41375051). Li's research is partially supported by AGS-1602845 and DMS-1830312 of the US National Science Foundation. （2017YFC1502000 and 2018YFC1507504）

气象学报（英文版）

OACSCDCSTPCD

0894-0525

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