WE3.P2.2
IMPROVING AEROSOL RETRIEVAL FROM HIMAWARI-8 WITH A TRANSFORMER DEEP LEARNING METHOD
Siyu Liu, Lina XU, Minghui TAO, Xincai CHANG, Siyu ZHENG, Yihang ZOU, China University of Geosciences, Wuhan, China
Session:
WE3.P2: Aerosols and Atmsopheric Chemistry I Oral
Track:
Atmosphere Applications
Location:
Plaza: Room P2
Presentation Time:
Wednesday, 6 August, 13:30 - 13:45
Session Co-Chairs:
Jun Wang, University of Iowa and Jing Wei, University of Maryland
Session WE3.P2
WE3.P2.1: First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space
Jun Wang, The University of Iowa, United States; Meng Zhou, University of Maryland - Baltimore County, United States
WE3.P2.2: IMPROVING AEROSOL RETRIEVAL FROM HIMAWARI-8 WITH A TRANSFORMER DEEP LEARNING METHOD
Siyu Liu, Lina XU, Minghui TAO, Xincai CHANG, Siyu ZHENG, Yihang ZOU, China University of Geosciences, Wuhan, China
WE3.P2.3: ESTIMATION OF GROUND-LEVEL NO2 AND ITS SPATIOTEMPORAL VARIATIONS IN CHINA USING GEMS MEASUREMENTS AND A NESTED MACHINE LEARNING MODEL
Naveed Ahmad, Changqing Lin, Alexis Kai Hon LAU, Hong Kong University of Science and Technology, China; Jhoon Kim, Yonsei University, Seoul, South Korea, Korea (South); Tianshu Zhang, Chinese Academy of Sciences, China; Fangqun Yu, State University of New York at Albany, United States; Chengcai Li, Peking University, China; Ying Li, Southern University of Science and Technology, China; Jimmy CH Fung, Hong Kong University of Science and Technology, China; Xiang Qian Lao, City University of Hong Kong, China
WE3.P2.4: Vertical features of volatile organic compounds and their reactivities in boundary layer revealed by in-situ observations and satellite retrieval
Bin Zhu, Siqi Yang, Nanjing University of Information Science and Technology, China; Shuangshuang Shi, Wuxi University, China; Zhuyi Jiang, Nanjing University of Information Science & Technology, China
WE3.P2.5: Top-Down Mapping of CO2 Emissions: A Finer-Scale Approach with Remote Sensing and AI
Kamal Das, Ranjini Bangalore, Hendrik Hamann, IBM Research, India
Resources