Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0

Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0–1h Nowcasting

Published:2023 Issue: Volume:16 Page:3455-3468
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Sun Fenglin¹^ORCID,Li Bo¹^ORCID,Min Min²^ORCID,Qin Danyu¹

Affiliation:

1. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (LRCVES/CMA), Fengyun Meteorological Satellite Innovation Center, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, China

2. School of Atmospheric Sciences, Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, and Guangdong Province Key laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University (Guangdong, Zhuhai), Zhuhai, China

Funder

National Key R&D Program of China

National Key Scientific and Technological Infrastructure

National Natural Science Foundation of China

Fengyun Application Pioneering Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10083166.pdf?arnumber=10083166

Reference58 articles.