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…
Overview > The Global Power Emissions Database, GPED, is a new database of global fossil fuel- and biomass-burning power-generating plants and their emissions as of 2010. GPED is based on the WEPP database to compile the basic operational information of generators, and replaced basic information and also added emissions data for plants operating in the…
The MEIC team at Tsinghua University cooperated with the team of China Emission Accounts and Datasets (CEADs), Chinese Academy of Environmental Planning of the Ministry of Ecology and Environment, and other research groups, with support from the National Natural Science Foundation of China’s Innovative Research Group Project and the National Key R&D Program, to develop intelligent fusion and modeling techniques for multi-source data and constructed big-data driven methods for high resolution spatiotemporal dynamics characterization and integrated spatiotemporal dynamics scaling. We developed a monthly 0.1° resolution dataset of anthropogenic carbon emissions since 1970.
