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Abstract
The COVID-19 pandemic is impacting human activities, and in turn energy use and carbon dioxide (CO2) emissions. Here we present daily estimates of country-level CO2 emissions for different sectors based on near-real-time activity data. The key result is an abrupt 8.8% decrease in global CO2 emissions (−1551 Mt CO2) in the first half of 2020 compared to the same period in 2019. The magnitude of this decrease is larger than during previous economic downturns or World War II. The timing of emissions decreases corresponds to lockdown measures in each country. By July 1st, the pandemic’s effects on global emissions diminished as lockdown restrictions relaxed and some economic activities restarted, especially in China and several European countries, but substantial differences persist between countries, with continuing emission declines in the U.S. where coronavirus cases are still increasing substantially.
The COVID-19 pandemic has stopped many human activities, which has had significant impact on emissions of greenhouse gases. Here, the authors present daily estimates of country-level CO2 emissions for different economic sectors and show that there has been a 8.8% decrease in global CO2 emissions in the first half of 2020.
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1 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
2 Laboratoire des Sciences du Climat et de l’Environnement LSCE, CEA CNRS UVSQ, Centre d’Etudes Orme de Merisiers, Gif-sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722)
3 The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, USA (GRID:grid.29857.31) (ISNI:0000 0001 2097 4281)
4 University of California, Irvine, Department of Earth System Science, Irvine, USA (GRID:grid.266093.8) (ISNI:0000 0001 0668 7243)
5 California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890); California Institute of Technology, Jet Propulsion Laboratory, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890)
6 Nanjing University of Information Science & Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing, China (GRID:grid.260478.f)
7 Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
8 Chinese Academy of Sciences, Climate Change Research Center, Institute of Atmospheric Physics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
9 Chinese Academy of Sciences, Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
10 Tsinghua University, School of Environment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
11 Tsinghua University, School of Mathematical School, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
12 Tsinghua University, Department of Mathematical Sciences, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
13 Center of Hubei Cooperative Innovation for Emissions Trading System, Wuhan, China (GRID:grid.12527.33); Kunming University of Science and Technology, Faculty of Management and Economics, Kunming, China (GRID:grid.218292.2) (ISNI:0000 0000 8571 108X); Economic Research Centre of Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan (GRID:grid.27476.30) (ISNI:0000 0001 0943 978X)
14 Institut Pierre-Simon Laplace, Sorbonne Université / CNRS, Paris, France (GRID:grid.423115.0) (ISNI:0000 0000 9000 8794)
15 Université Paris Dauphine, Place du Maréchal de Lattre de Tassigny, Paris, France (GRID:grid.11024.36) (ISNI:0000000120977052)
16 Laboratoire des Sciences du Climat et de l’Environnement LSCE, CEA CNRS UVSQ, Centre d’Etudes Orme de Merisiers, Gif-sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722); National Institute for Environmental Studies, Center for Global Environmental Research, Tsukuba, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933)
17 Beijing Institute of Technology, Center for Energy and Environmental Policy Research, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246)
18 Institute for National Governance and Global Governance, Tsinghua University, Department of Electrical Engineering, the State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
19 Institute of Blue and Green Development Shandong University, Weihai, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174)
20 School of Environment, Beijing Normal University, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964)
21 Chinese Academy of Sciences, Institute of Applied Ecology, Shenyang, China (GRID:grid.9227.e) (ISNI:0000000119573309)
22 School of the Environment, Nanjing University, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X)
23 College of Ecology and the Environment, Xiamen University, Key Laboratory of Wetland Ecology of Ministry of Education, Xiamen, China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233)
24 University of California, Energy and Resources Group and Goldman School of Public Policy, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)
25 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031)