Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide
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Published:2022-09-01
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Huo Da, Huang XiaotingORCID, Dou XinyuORCID, Ciais Philippe, Li Yun, Deng ZhuORCID, Wang Yilong, Cui Duo, Benkhelifa Fouzi, Sun TaochunORCID, Zhu Biqing, Roest GeoffreyORCID, Gurney Kevin R.ORCID, Ke Piyu, Guo Rui, Lu Chenxi, Lin Xiaojuan, Lovell Arminel, Appleby Kyra, DeCola Philip L., Davis Steven J.ORCID, Liu ZhuORCID
Abstract
AbstractBuilding 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.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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