MEIC is a bottom-up modeling framework for emission inventory, including unified source category system, intelligence fusion and modeling technologies of multi-source big data, big-data-based methods for dynamic emission characterization, emission factor database, dynamic technology of scale conversion with spatiotemporal integration, multi-scale high-resolution emission processing system, and cloud computing platform. The MEIC model allows the dynamic…
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…
