4.7 Article Data Paper

Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

期刊

SCIENTIFIC DATA
卷 9, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01796-3

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资金

  1. National Natural Science Foundation of China [71874097, 41921005, 72140002]
  2. Beijing Natural Science Foundation [JQ19032]
  3. Qiu Shi Science & Technologies Foundation

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This study presents Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production in 48 major high-emission cities in China. The dataset provides emission estimates for five sectors from 2020-01-01 to 2021-12-31, integrating bottom-up inventory construction and daily emission estimates from sectoral activities and models. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.
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 CO2 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 CO2 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.

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