Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Department of Civil & Mineral Engineering, University of Toronto, Toronto, ON, M5S 1A1, Canada.
Sci Data. 2022 Nov 10;9(1):684. doi: 10.1038/s41597-022-01796-3.
Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO emissions from fossil fuel and cement production for 48 major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models. Annual emissions show reasonable agreement with other datasets, and uncertainty ranges are estimated for each city and sector. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.
中国城市正处于低碳转型的前沿,这需要对城市层面的排放进行低延迟监测,以支持及时的气候行动。大多数现有的 CO 排放清单滞后于现实一年以上,且只提供年度总量。为了提高城市层面排放清单的及时性和时间分辨率,我们提出了 Carbon Monitor Cities-China(CMCC),这是一个中国 48 个主要高排放城市化石燃料和水泥生产的每日 CO 排放的近实时数据集。该数据集提供了五个部门(发电、住宅(建筑和服务)、工业、地面交通和航空)从 2020-01-01 至 2021-12-31 的基于地域的排放量估算。CMCC 是基于一个创新的框架开发的,该框架整合了自下而上的清单编制以及来自部门活动和模型的每日排放量估算。年度排放量与其他数据集具有合理的一致性,并且为每个城市和部门估算了不确定性范围。CMCC 提供了有价值的每日排放量估算,为中国城市的低延迟缓解监测提供了支持。