A Deep Learning-Based Wind Field Nowcasting Method With Extra Attention on Highly Variable Events-Reference-Cited by-同舟云学术

A Deep Learning-Based Wind Field Nowcasting Method With Extra Attention on Highly Variable Events

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Gao Hang¹^ORCID,Shen Chun¹^ORCID,Zhou Yi²,Wang Xuesong¹,Chan Pak-Wai³,Hon Kai-Kwong¹^ORCID,Li Jianbing¹^ORCID

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Technology, National University of Defense Technology, Hunan, Changsha, China

2. Naval Research Academy, Shanghai, China

3. Hong Kong Observatory, Hong Kong, China

Funder

National Natural Science Foundation of China

Postgraduate Scientific Research Innovation Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09913459.pdf?arnumber=9913459

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