[M-IS13] Regional and global urban climate processes across multi-temporal scales

[MIS13-P02] Modeling of near-surface PM2.5 using machine learning regression informed by a chemistry transport model: A case study in Kanto Region, Japan

*Roseanne Villanueva Ramos^1,2, Alvin Christopher Varquez¹, Maria Deandra Crisostomo Andal¹, Zeyu Chen¹, Atsushi Inagaki¹, Manabu Kanda¹ (1. Institute of Science Tokyo, 2. University of the Philippines Department of Geodetic Engineering)

Keywords:Near-surface PM2.5, Machine learning, WRF-Chem, Aerosol optical depth, Kanto Region