MEIC team recently released an Asian emission inventory, MIX, in years of 2008 and 2010. MIX was developed to provide up-to-date model-ready emissions for multiple chemical transport models and climate models. Integrating latest MEIC, REAS2, PKU-NH3, and CAPSS emission inventories, MIX covers ten air pollutants and greenhouse gaseous (SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5,…
Data description > This PM2.5 concentration prediction dataset fused the satellite aerosol optical depth (AOD) retrieval, chemical transport model (CMAQ) simulation, and ground PM2.5 measurement through a machine learning algorithm. By filling the missing satellite data due to cloud cover and high surface reflectance, our method provides spatiotemporally continuous daily PM2.5 and PM2.5 composition maps…
About PHD > PHD (PM2.5 Hindcast Database) is a database that provides historical PM2.5 estimates across China, during 2000-2016. Using a machine learning approach, PHD assembled datasets from multiple sources, including MODIS satellite measurements of aerosol, CMAQ modeling outputs based on MEIC historical emission inventories and many other spatiotemporal variables, and hindcasted the daily PM2.5 concentrations from 2000…
