Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm

Author:

Wang Quan1ORCID,Zhou Chen1,Letu Husi2ORCID,Zhu Yannian1,Zhuge Xiaoyong3ORCID,Liu Chao4ORCID,Weng Fuzhong5,Wang Minghuai1

Affiliation:

1. School of Atmospheric Sciences and the Joint International Research Laboratory of Atmospheric and Earth System Sciences, Institute for Climate and Global Change Research, Nanjing University, Nanjing, China

2. State Key Laboratory of Remote Sensing Science, The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing, China

4. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China

5. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Research Funds for the Frontiers Science Center for Critical Earth Material Cycling, Nanjing University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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