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

MEIC team published China’s emission inventories in 2019 and 2020 to assess the impact of COVID-19 on China’s emissions

The COVID-19 lockdown has reduced China’s anthropogenic emissions substantially between January and March in 2020, with the largest reductions in February. Emissions of SO2, NOx, CO, NMVOCs, and primary PM2.5 were estimated to have decreased by 27%, 36%, 28%, 31%, and 24%, respectively, in February 2020 compared to the same month in 2019.

Bo Zheng

Data product