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Paper Title |
ESTIMATE OF GROUND-LEVEL OZONE CONCENTRATIONS BY USING OMI OBSERVATIONS AND MACHINE LEARNING: A CASE STUDY IN ATLANTA GEORGIA U.S.A. |
Paper Identifier | FR1.R19.8 |
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Authors |
Guanyu Huang, Spelman College, United States; Xiong Liu, Harvard Smithsonian Center for Astrophysics, United States |
Session |
Satellite Remote Sensing of Atmospheric Composition: Algorithms, Applications, and Process Studies II |
Session Time |
Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
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Presentation Time [This Paper Only] |
Fri, 02 Oct, 13:10 - 13:20 UTC
Fri, 02 Oct, 21:10 - 21:20 China Standard Time (UTC +8)
Fri, 02 Oct, 15:10 - 15:20 Central Europe Time (UTC +2)
Fri, 02 Oct, 06:10 - 06:20 Pacific Daylight Time (UTC -7)
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Presentation Mode |
Virtual
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Topic |
Atmosphere Applications: Aerosols and Atmospheric Chemistry
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