Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval

Author:

Yan Xing1ORCID,Zang Zhou1ORCID,Li Zhanqing2ORCID,Chen Hans W.3,Chen Jiayi1,Jiang Yize1,Chen Yunhao4,He Bin4,Zuo Chen1,Nakajima Terry5,Kim Jhoon6

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

2. Department of Atmospheric and Oceanic Science and ESSIC, University of Maryland, College Park, Maryland 20740, United States

3. Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg 41296, Sweden

4. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

5. Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan

6. Department of Atmospheric Sciences, Yonsei University, Seoul 03722, South Korea

Funder

Beijing Municipal Natural Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

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