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

  • Da Huo
  • , Kai Liu
  • , Jianwu Liu
  • , Yingjian Huang
  • , Taochun Sun
  • , Yun Sun
  • , Caomingzhe Si
  • , Jinjie Liu
  • , Xiaoting Huang
  • , Jian Qiu
  • , Haijin Wang
  • , Duo Cui
  • , Biqing Zhu
  • , Zhu Deng
  • , Piyu Ke
  • , Yuli Shan
  • , Olivier Boucher
  • , Grégoire Dannet
  • , Gaoqi Liang
  • , Junhua Zhao
  • Lei Chen, Qian Zhang, Philippe Ciais, Wenwen Zhou*, Zhu Liu*
*Corresponding author for this work
  • Tsinghua University
  • University of Toronto
  • Alibaba Group Holding Ltd.
  • Tianjin University
  • The Chinese University of Hong Kong, Shenzhen
  • Shenzhen Institute of Artificial Intelligence and Robotics for Society
  • University of Birmingham
  • Sorbonne Université
  • Queen's University Kingston
  • Orme de Merisiers

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number684
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

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