JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS07] Models, In situ, and Remote sensing of Aerosols, Clouds, Lightning, and Extreme precipitation (MIRACLE)

Mon. May 25, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[AAS07-P10] Improving spatially robust estimation of PM2.5 chemical components using geostationary satellite observations and machine learning

*Songgyun Na1, Juhee Lee1, Jhoon Kim1, Ja-Ho Koo1 (1. Yonsei University)

Keywords:PM2.5 chemical components, Geostationary satellite, Machine learning, Spatial generalization