Multi-resolution Emission Inventory model
for Climate and air pollution research
多尺度排放清单模型

MEIC team published the global high-resolution CO2 emission database

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.

MEIC team updated the global CO2 emission database

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, to develop a data-driven approach and construct seamless and highly-resolved energy consumption data cubes for multiple regions, sectors and fuel types. Global CO2 emissions from fossil fuel combustion and cement production in 1970–2021 were then estimated with highly-resolved source category and sub-country information.

MEIC published the global multi-scale dynamic CO2 emission database

Tsinghua University cooperates 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, to develop MEIC database to meet the needs of global climate and air pollution research. MEIC builds a global multi-scale atmospheric emission database with long time series, high spatial and temporal resolution, and dynamic updates.

MEIC team