Your browser doesn't support javascript.
loading
Near-real-time global gridded daily CO2 emissions 2021.
Dou, Xinyu; Hong, Jinpyo; Ciais, Philippe; Chevallier, Frédéric; Yan, Feifan; Yu, Ying; Hu, Yifan; Huo, Da; Sun, Yun; Wang, Yilong; Davis, Steven J; Crippa, Monica; Janssens-Maenhout, Greet; Guizzardi, Diego; Solazzo, Efisio; Lin, Xiaojuan; Song, Xuanren; Zhu, Biqing; Cui, Duo; Ke, Piyu; Wang, Hengqi; Zhou, Wenwen; Huang, Xia; Deng, Zhu; Liu, Zhu.
Affiliation
  • Dou X; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Hong J; Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China.
  • Ciais P; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Chevallier F; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Yan F; Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, Qingdao, 266100, China.
  • Yu Y; Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, USA.
  • Hu Y; Key Laboratory of Sustainable Forest Ecosystem Management, Northeast Forestry University, Harbin, 150040, China.
  • Huo D; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Sun Y; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China.
  • Wang Y; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
  • Davis SJ; Department of Earth System Science, University of California, Irvine, CA, USA.
  • Crippa M; European Commission, Joint Research Centre (JRC), Ispra, Italy.
  • Janssens-Maenhout G; European Commission, Joint Research Centre (JRC), Ispra, Italy.
  • Guizzardi D; European Commission, Joint Research Centre (JRC), Ispra, Italy.
  • Solazzo E; European Commission, Joint Research Centre (JRC), Ispra, Italy.
  • Lin X; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Song X; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Zhu B; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Cui D; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Ke P; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Wang H; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Zhou W; Product and Solution & Website Business Unit, Alibaba Cloud, Hangzhou, 311121, China.
  • Huang X; Product and Solution & Website Business Unit, Alibaba Cloud, Hangzhou, 311121, China.
  • Deng Z; Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Liu Z; Product and Solution & Website Business Unit, Alibaba Cloud, Hangzhou, 311121, China.
Sci Data ; 10(1): 69, 2023 02 02.
Article de En | MEDLINE | ID: mdl-36732516
ABSTRACT
We present a near-real-time global gridded daily CO2 emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO2 emissions at a 0.1° × 0.1° spatial resolution and 1-day temporal resolution from cement production and fossil fuel combustion over seven sectors, including industry, power, residential consumption, ground transportation, international aviation, domestic aviation, and international shipping. GRACED is prepared from the near-real-time daily national CO2 emissions estimates (Carbon Monitor), multi-source spatial activity data emissions and satellite NO2 data for time variations of those spatial activity data. GRACED provides the most timely overview of emissions distribution changes, which enables more accurate and timely identification of when and where fossil CO2 emissions have rebounded and decreased. Uncertainty analysis of GRACED gives a grid-level two-sigma uncertainty of value of ±19.9% in 2021, indicating the reliability of GRACED was not sacrificed for the sake of higher spatiotemporal resolution that GRACED provides. Continuing to update GRACED in a timely manner could help policymakers monitor energy and climate policies' effectiveness and make adjustments quickly.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Chine