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      Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic

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          Abstract

          Satellite reveals 10-day mean and spatially explicit variations in China’s CO 2 emissions during and after COVID-19 lockdown.

          Abstract

          Changes in CO 2 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 CO 2 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 NO 2 to deduce 10-day moving averages of NO x and CO 2 emissions over China, differentiating emissions by sector and province. Between January and April 2020, China’s CO 2 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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          The ERA5 Global Reanalysis

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            The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

            The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).
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              An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China

              Responding to an outbreak of a novel coronavirus (agent of COVID-19) in December 2019, China banned travel to and from Wuhan city on 23 January and implemented a national emergency response. We investigated the spread and control of COVID-19 using a unique data set including case reports, human movement and public health interventions. The Wuhan shutdown was associated with the delayed arrival of COVID-19 in other cities by 2.91 days (95%CI: 2.54-3.29). Cities that implemented control measures pre-emptively reported fewer cases, on average, in the first week of their outbreaks (13.0; 7.1-18.8) compared with cities that started control later (20.6; 14.5-26.8). Suspending intra-city public transport, closing entertainment venues and banning public gatherings were associated with reductions in case incidence. The national emergency response appears to have delayed the growth and limited the size of the COVID-19 epidemic in China, averting hundreds of thousands of cases by 19 February (day 50).
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                December 2020
                02 December 2020
                : 6
                : 49
                : eabd4998
                Affiliations
                [1 ]Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
                [2 ]Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
                [3 ]State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
                [4 ]Department of Earth System Science, University of California, Irvine, Irvine, CA, USA.
                [5 ]Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA, USA.
                [6 ]Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
                [7 ]Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada.
                [8 ]Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA.
                [9 ]Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands.
                [10 ]Environmental Sciences Group, Wageningen University, Wageningen, Netherlands.
                [11 ]Nanjing University of Information Science and Technology (NUIST), No. 219, Ningliu Road, Nanjing, Jiangsu, China.
                [12 ]Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China.
                [13 ]Chinese Academy of Environmental Planning, Beijing, China.
                Author notes
                [*]

                These authors contributed equally to this work.

                []Corresponding author. Email: qiangzhang@ 123456tsinghua.edu.cn
                Author information
                http://orcid.org/0000-0001-8344-3445
                http://orcid.org/0000-0002-1605-8448
                http://orcid.org/0000-0001-8560-4943
                http://orcid.org/0000-0002-9338-0844
                http://orcid.org/0000-0003-2632-8402
                http://orcid.org/0000-0001-9716-1051
                http://orcid.org/0000-0002-6691-7132
                http://orcid.org/0000-0002-4327-3813
                http://orcid.org/0000-0002-4591-7635
                http://orcid.org/0000-0002-0077-5338
                http://orcid.org/0000-0002-2362-2940
                http://orcid.org/0000-0002-8634-2663
                http://orcid.org/0000-0001-6006-9323
                http://orcid.org/0000-0002-8376-131X
                Article
                abd4998
                10.1126/sciadv.abd4998
                7821878
                33268360
                377d89b1-0ce0-4dd5-bb02-28abea9b71dc
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 June 2020
                : 20 October 2020
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 41921005
                Funded by: doi http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 41625020
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Coronavirus
                Custom metadata
                Anne Suarez

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