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

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.

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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

Data product

The Multi-scale Emission Inventory Reanalysis and Data Sharing Platform online!

Recently, a multi-scale emission inventory reanalysis and data sharing platform independently developed by the MEIC team of Tsinghua University was launched on the MEIC website. Emission inventories from multiple research groups are shared on the Data Platform, including Tsinghua University, Peking University, Nanjing University, Jinan University, Beijing University of Technology and Shanghai Academy of Environmental Sciences.

MEIC team

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