Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Laboratoire des Sciences du Climate et de l'Environnement LSCE, Orme de Merisiers 91191, Gif-sur-Yvette, France.
Sci Data. 2022 Sep 1;9(1):533. doi: 10.1038/s41597-022-01657-z.
Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO) 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.
基于对每日二氧化碳(CO)排放的近乎实时和空间明确的估算,我们在此提出并分析了一个新的城市层面化石燃料和水泥排放数据集——Carbon Monitor Cities,该数据集提供了 46 个国家的 1500 个城市从 2019 年 1 月至 2021 年 12 月的每日排放量估算,并对五个部门进行了细分:发电、住宅(建筑物)、工业、地面交通和航空。该数据集的目标是提高城市层面排放清单的及时性和时间分辨率,并包括与全球和区域总量一致的功能城市区域和城市行政区域的估算。我们还与其他数据集(即 CEADs、MEIC、Vulcan 和 CDP-ICLEI Track)进行了比较,并估计总体年度不确定性范围为±21.7%。Carbon Monitor Cities 是一个近乎实时的城市层面排放数据集,其中包括世界各地的城市,包括许多低收入国家的首批城市估算数据。