Improved Precipitation Nowcasting Through a Deep Learning Model Based on Three-Dimensional Cloud Structures-Reference-Cited by-同舟云学术

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Improved Precipitation Nowcasting Through a Deep Learning Model Based on Three-Dimensional Cloud Structures

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ye Yuankang¹^ORCID,Gao Feng¹,Cheng Wei²^ORCID,Liu Chang¹^ORCID,Zhang Shaoqing¹,Wang Shudong³^ORCID

Affiliation:

1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

2. Beijing Institute of Applied Meteorology, Beijing, China

3. Public Meteorological Service Center, China Meteorological Administration, Beijing, China

Funder

Science and Technology Innovation Project of Laoshan Laboratory

National Natural Science Foundation of China

Shandong “Taishan” Scholar Program, Key Research and Development Plan of Heilongjiang Province

Qingdao Science and Technology Planning Park Cultivation Program Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10538240.pdf?arnumber=10538240

Reference52 articles.

1. Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

2. Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges

3. The quiet revolution of numerical weather prediction

4. Investigation on cloud vertical structures based on Ka-band cloud radar observations at Wuhan in Central China

5. Surface Solar Radiation Compositions Observed from Himawari-8/9 and Fengyun-4 Series

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