首页|MEIC-global-CO2:A new global CO2 emission inventory with highly-resolved source category and sub-country information

MEIC-global-CO2:A new global CO2 emission inventory with highly-resolved source category and sub-country information

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CO2 emission inventory provides fundamental data for climate research and emission mitigation.Currently,most global CO2 emission inventories were developed with energy statistics from International Energy Agency(IEA)and were available at country level with limited source categories.Here,as the first step toward a high-resolution and dynamic updated global CO2 emission database,we developed a data-driven approach to construct seamless and highly-resolved energy con-sumption data cubes for 208 countries/territories,797 sub-country administrative divisions in 29 countries,42 fuel types,and 52 sectors,with the fusion of activity data from 24 international statistics and 65 regional/local statistics.Global CO2 emissions from fossil fuel combustion and cement production in 1970-2021 were then estimated with highly-resolved source category(1,484 of total)and sub-country information(797 of total).Specifically,73%of global CO2 emissions in 2021 were estimated with sub-country information,providing considerably improved spatial resolution for global CO2 emission accounting.With the support of detailed information,the dynamics of global CO2 emissions across sectors and fuel types were presented,representing the evolution of global economy and progress of climate mitigation.Remarkable differences of sectoral contribution were found across sub-country administrative divisions within a given country,revealing the uneven distribution of energy and economic structure among different regions.Our estimates were generally consistent with existing databases at aggregated level for global total or large emitters,while large discrepancies were observed for middle and small emitters.Our database,named the Multi-resolution Emission Inventory model for Climate and air pollution research(MEIC)is publicly available through http://meicmodel.org.cn with highly-resolved information and timely update,which provides an independent carbon emission ac-counting data source for climate research.

CO2 emissionsData-driven approachHighly-resolved source categorySub-country information

Ruochong XU、Dan TONG、Qingyang XIAO、Xinying QIN、Cuihong CHEN、Liu YAN、Jing CHENG、Can CUI、Hanwen HU、Wenyu LIU、Xizhe YAN、Huaxuan WANG、Xiaodong LIU、Guannan GENG、Yu LEI、Dabo GUAN、Kebin HE、Qiang ZHANG

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Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China

State Key Joint Laboratory of Environment Simulation and Pollution Control,School of Environment,Tsinghua University,Beijing 100084,China

Chinese Academy of Environmental Planning,Beijing 100041,China

Institute for Carbon Neutrality,Tsinghua University,Beijing 100084,China

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National Natural Science Foundation of ChinaMajor Project of High Resolution Earth Observation SystemNew Cornerstone Science Foundation through the XPLORER PRIZETsinghua University Initiative Scientific Research Program

4192100530-Y60B01-9003-22/2320223080041

2024

中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

影响因子:1.002
ISSN:1674-7313
年,卷(期):2024.67(2)
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