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Satellite-based estimates of decline and rebound in China's CO2 emissions during COVID-19 pandemic.
Zheng, Bo; Geng, Guannan; Ciais, Philippe; Davis, Steven J; Martin, Randall V; Meng, Jun; Wu, Nana; Chevallier, Frederic; Broquet, Gregoire; Boersma, Folkert; van der A, Ronald; Lin, Jintai; Guan, Dabo; Lei, Yu; He, Kebin; Zhang, Qiang.
  • Zheng B; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Geng G; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
  • Ciais P; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Davis SJ; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Martin RV; Department of Earth System Science, University of California, Irvine, Irvine, CA, USA.
  • Meng J; Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA, USA.
  • Wu N; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
  • Chevallier F; Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada.
  • Broquet G; Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA.
  • Boersma F; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
  • van der A R; Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada.
  • Lin J; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
  • Guan D; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Lei Y; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • He K; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands.
  • Zhang Q; Environmental Sciences Group, Wageningen University, Wageningen, Netherlands.
Sci Adv ; 6(49)2020 12.
Article in English | MEDLINE | ID: covidwho-983587
ABSTRACT
Changes in CO2 emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO2 emissions during the pandemic. Unlike activity data, our observation-based analysis deploys independent measurement of pollutant concentrations in the atmosphere to correct misrepresentation in the bottom-up data and can provide more detailed insights into spatially explicit changes. Specifically, we use TROPOMI observations of NO2 to deduce 10-day moving averages of NO x and CO2 emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO2 emissions fell by 11.5% compared to the same period in 2019, but emissions have since rebounded to pre-pandemic levels before the coronavirus outbreak at the beginning of January 2020 owing to the fast economic recovery in provinces where industrial activity is concentrated.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carbon Dioxide / Satellite Communications / Pandemics / COVID-19 Type of study: Observational study / Prognostic study Country/Region as subject: Asia Language: English Year: 2020 Document Type: Article Affiliation country: Sciadv.abd4998

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carbon Dioxide / Satellite Communications / Pandemics / COVID-19 Type of study: Observational study / Prognostic study Country/Region as subject: Asia Language: English Year: 2020 Document Type: Article Affiliation country: Sciadv.abd4998