MEIC-global-CO_(2):A new global CO_(2)emission inventory with highly-resolved source category and sub-country information  

作　　者：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 

机构地区：[1]Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University,Beijing,100084,China [2]State Key Joint Laboratory of Environment Simulation and Pollution Control,School of Environment,Tsinghua University,Beijing,100084,China [3]Chinese Academy of Environmental Planning,Beijing,100041,China [4]Institute for Carbon Neutrality,Tsinghua University,Beijing,100084,China

出　　处：《Science China Earth Sciences》2024年第2期450-465,共16页中国科学（地球科学英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.41921005);the Major Project of High Resolution Earth Observation System(Grant No.30Y60B01-9003-22/23);the New Cornerstone Science Foundation through the XPLORER PRIZE;the Tsinghua University Initiative Scientific Research Program(Grant No.20223080041)。

摘　　要：CO_(2)emission inventory provides fundamental data for climate research and emission mitigation.Currently,most global CO_(2)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 CO_(2)emission database,we developed a data-driven approach to construct seamless and highly-resolved energy consumption 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 CO_(2)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 CO_(2)emissions in 2021 were estimated with sub-country information,providing considerably improved spatial resolution for global CO_(2)emission accounting.With the support of detailed information,the dynamics of global CO_(2)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 Multiresolution 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 accounting data source for climate research.

关 键 词：CO_(2)emissions Data-driven approach Highly-resolved source category Sub-country information 

分 类 号：P467[天文地球—大气科学及气象学] X51[环境科学与工程—环境工程]