The Multi-resolution Emission Inventory model for Climate and air pollution research (MEIC) is a modeling platform of atmospheric emissions from anthropogenic sources, developed from the Multi-resolution Emission Inventory for China. MEIC, established and maintained by Tsinghua University since 2010, is designed for high-resolution multi-scale global databases of anthropogenic emissions of greenhouse gases and air pollutants.…
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…
