Near-real-time hourly PM2.5 prediction over East Asia using geostationary satellite products and machine learning

Jeewoo Lee; Yeseul Cho; Seoyoung Lee; Jhoon Kim; Young-Je Park

doi:10.1016/j.atmosenv.2024.120700

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Near-real-time hourly PM2.5 prediction over East Asia using geostationary satellite products and machine learning

Jeewoo Lee Yeseul Cho Seoyoung Lee Jhoon Kim Young-Je Park

Year: 2024 Journal: Atmospheric Environment Vol: 334 Pages: 120700-120700 Publisher: Elsevier BV

DOI: 10.1016/j.atmosenv.2024.120700

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Keywords:

Geostationary orbit Satellite Meteorology Geostationary Operational Environmental Satellite Environmental science East Asia Remote sensing Climatology Geography Geology Aerospace engineering Engineering China

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Topics

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Atmospheric aerosols and clouds

Physical Sciences → Environmental Science → Global and Planetary Change

Atmospheric chemistry and aerosols

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Near-real-time hourly PM2.5 prediction over East Asia using geostationary satellite products and machine learning

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Citation History

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