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Top-down NOx emission changes in China using TROPOMI NO2 data from Jan 1 to Mar 12, 2020

Zhang, Ruixiong; Zhang, Yuzhong; Lin, Haipeng; Feng, Xu; Fu, Tzung-May; Wang, Yuhang

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  <identifier identifierType="DOI">10.5281/zenodo.3759985</identifier>
      <creatorName>Zhang, Ruixiong</creatorName>
      <affiliation>Georgia Institute of Technology / ClimaCell</affiliation>
      <creatorName>Zhang, Yuzhong</creatorName>
      <affiliation>Westlake University / Westlake Institute for Advanced Study</affiliation>
      <creatorName>Lin, Haipeng</creatorName>
      <affiliation>Harvard University</affiliation>
      <creatorName>Feng, Xu</creatorName>
      <affiliation>Peking University</affiliation>
      <creatorName>Fu, Tzung-May</creatorName>
      <affiliation>Southern University of Science and Technology</affiliation>
      <creatorName>Wang, Yuhang</creatorName>
      <affiliation>Georgia Institute of Technology</affiliation>
    <title>Top-down NOx emission changes in China using TROPOMI NO2 data from Jan 1 to Mar 12, 2020</title>
    <subject>NOx emission</subject>
    <subject>Air quality</subject>
    <date dateType="Issued">2020-04-22</date>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3759984</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This datasets contains the top-down NOx emission data during Jan 1 - Mar 12, 2020,&amp;nbsp;derived in the paper&amp;nbsp;&lt;strong&gt;NOx emission reduction and recovery during COVID-19 in East China (&lt;/strong&gt;&lt;a href=""&gt;;/a&gt;&lt;strong&gt;)&lt;/strong&gt;. The top-down NOx emission changes can be used as a measure to assess the socioeconomic activity changes due to&amp;nbsp;COVID-19 control measures.&amp;nbsp;&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Data Description:&lt;/strong&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;a href=""&gt;regional_emission_changes_TableS1.xlsx&lt;/a&gt;: The derived NOx emission changes in China at regional (East China), provincial, and city (Wuhan) levels.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href=""&gt;;/a&gt;: The timeseries plots of NOx emission changes in the mentioned regions&lt;/p&gt;

&lt;p&gt;&lt;a href=""&gt;;/a&gt;: This contains data used to derive the top-down NOx emissions (at 0.05 degree resolution):&amp;nbsp;NO2 data from TROPOMI and WRF-GC; NOx emissions from MEIC emission inventory.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;How to Cite:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Please cite both the Zenodo dataset&amp;nbsp;and the paper (&lt;a href=""&gt;;/a&gt;, Zhang, R.; Zhang, Y.; Lin, H.; Feng, X.; Fu, T.-M.; Wang, Y. NOx Emission Reduction and Recovery during COVID-19 in East China.&amp;nbsp;&lt;em&gt;Atmosphere&lt;/em&gt;&amp;nbsp;&lt;strong&gt;2020&lt;/strong&gt;,&amp;nbsp;&lt;em&gt;11&lt;/em&gt;, 433.).&amp;nbsp;&lt;/p&gt;


&lt;p&gt;If you have questions, please contact&amp;nbsp;the corresponding authors Drs.&amp;nbsp;Ruixiong Zhang ( and Yuzhong Zhang (;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Paper Abstract&lt;/strong&gt;:&lt;/p&gt;

&lt;p&gt;Since its first confirmed case at the end of 2019, COVID-19 has become a global pandemic in three months with more than 1.4 million confirmed cases worldwide, as of early April 2020. Quantifying the changes of pollutant emissions due to COVID-19 and associated governmental control measures is crucial to understand its impacts on economy, air pollution, and society. We used the WRF-GC model and the tropospheric NO&lt;sub&gt;2&lt;/sub&gt; column observations retrieved by the TROPOMI instrument to derive the top-down NOx emission change estimation between the three periods: P1 (January 1&lt;sup&gt;st&lt;/sup&gt; &amp;ndash; January 22&lt;sup&gt;nd&lt;/sup&gt;, 2020), P2 (January 23&lt;sup&gt;rd&lt;/sup&gt;, Wuhan lockdown &amp;ndash; February 9&lt;sup&gt;th&lt;/sup&gt;, 2020), and P3 (February 10&lt;sup&gt;th&lt;/sup&gt;, back-to-work day &amp;ndash; March 12&lt;sup&gt;th&lt;/sup&gt;, 2020). We found that NOx emissions in East China averaged during P2 decreased by 50% compared to those averaged during P1. The NOx emissions averaged during P3 increased by 26% compared to those during P2. Most provinces in East China gradually regained some of their NOx emissions after February 10, the official back-to-work day, but NOx emissions in most provinces has not yet to return to their previous levels in early January. NOx emissions in Wuhan, the first epicenter of COVID-19, had no sign of emission recovering by March 12. A few provinces, such as Zhejiang and Shanxi, have recovered fast, with their averaged NOx emissions during P3 almost back to pre-lockdown levels.&lt;/p&gt;</description>
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