Near-real-time global gridded daily CO2 emissions

Xinyu Dou; Yilong Wang; Philippe Ciais; Frédéric Chevallier; Steven J Davis; Monica Crippa; Greet Janssens-Maenhout; Diego Guizzardi; Efisio Solazzo; Feifan Yan; Da Huo; Bo Zheng; Biqing Zhu; Duo Cui; Piyu Ke; Taochun Sun; Hengqi Wang; Qiang Zhang; Pierre Gentine; Zhu Deng; Zhu Liu

doi:10.1016/j.xinn.2021.100182

Near-real-time global gridded daily CO₂ emissions

Innovation (Camb). 2021 Nov 2;3(1):100182. doi: 10.1016/j.xinn.2021.100182. eCollection 2022 Jan 25.

Authors

Xinyu Dou¹, Yilong Wang², Philippe Ciais³, Frédéric Chevallier³, Steven J Davis⁴, Monica Crippa⁵, Greet Janssens-Maenhout⁵, Diego Guizzardi⁵, Efisio Solazzo⁵, Feifan Yan⁶, Da Huo¹, Bo Zheng⁷, Biqing Zhu¹, Duo Cui¹, Piyu Ke¹, Taochun Sun¹, Hengqi Wang¹, Qiang Zhang¹, Pierre Gentine⁸, Zhu Deng¹, Zhu Liu¹

Affiliations

¹ Department of Earth System Science, Tsinghua University, Beijing 100084, China.
² Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
³ Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
⁴ Department of Earth System Science, University of California, Irvine, CA, USA.
⁵ European Commission, Joint Research Centre (JRC), Ispra, Italy.
⁶ 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.
⁷ Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
⁸ Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.

Abstract

Precise and high-resolution carbon dioxide (CO₂) emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO₂ Emissions Dataset (GRACED) from fossil fuel and cement production with a global spatial resolution of 0.1° by 0.1° and a temporal resolution of 1 day. Gridded fossil emissions are computed for different sectors based on the daily national CO₂ emissions from near-real-time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Energy Infrastructure Emissions Database (GID), Emission Database for Global Atmospheric Research (EDGAR), and spatiotemporal patters of satellite nitrogen dioxide (NO₂) retrievals. Our study on the global CO₂ emissions responds to the growing and urgent need for high-quality, fine-grained, near-real-time CO₂ emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes for power, industry, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors from January 1, 2019, to December 31, 2020. This gives thorough insights into the relative contributions from each sector. Furthermore, it provides the most up-to-date and fine-grained overview of where and when fossil CO₂ emissions have decreased and rebounded in response to emergencies (e.g., coronavirus disease 2019 [COVID-19]) and other disturbances of human activities of any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will enable policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt.

Keywords: 2020; daily; global change; gridded CO2 emission; near real time.