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Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide.

Authors :
Huo, Da
Huo, Da
Huang, Xiaoting
Dou, Xinyu
Ciais, Philippe
Li, Yun
Deng, Zhu
Wang, Yilong
Cui, Duo
Benkhelifa, Fouzi
Sun, Taochun
Zhu, Biqing
Roest, Geoffrey
Gurney, Kevin R
Ke, Piyu
Guo, Rui
Lu, Chenxi
Lin, Xiaojuan
Lovell, Arminel
Appleby, Kyra
DeCola, Philip L
Davis, Steven J
Liu, Zhu
Huo, Da
Huo, Da
Huang, Xiaoting
Dou, Xinyu
Ciais, Philippe
Li, Yun
Deng, Zhu
Wang, Yilong
Cui, Duo
Benkhelifa, Fouzi
Sun, Taochun
Zhu, Biqing
Roest, Geoffrey
Gurney, Kevin R
Ke, Piyu
Guo, Rui
Lu, Chenxi
Lin, Xiaojuan
Lovell, Arminel
Appleby, Kyra
DeCola, Philip L
Davis, Steven J
Liu, Zhu
Source :
Scientific data; vol 9, iss 1, 533; 2052-4463
Publication Year :
2022

Abstract

Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions, Carbon Monitor Cities, which provides daily estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. Comparisons with other datasets (i.e. CEADs, MEIC, Vulcan, and CDP-ICLEI Track) were performed, and we estimate the overall annual uncertainty range to be ±21.7%. Carbon Monitor Cities is a near-real-time, city-level emission dataset that includes cities around the world, including the first estimates for many cities in low-income countries.

Details

Database :
OAIster
Journal :
Scientific data; vol 9, iss 1, 533; 2052-4463
Notes :
application/pdf, Scientific data vol 9, iss 1, 533 2052-4463
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367388260
Document Type :
Electronic Resource