Preprints
https://doi.org/10.5194/essd-2022-31
https://doi.org/10.5194/essd-2022-31
 
25 Jan 2022
25 Jan 2022
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions

Marc Guevara1, Hervé Petetin1, Oriol Jorba1, Hugo A. C. Denier van der Gon2, Jeroen Kuenen2, Ingrid Super2, Jukka-Pekka Jalkanen3, Elisa Majamäki3, Lasse Johansson3, Vincent-Henri Peuch4, and Carlos Pérez García-Pando1,5 Marc Guevara et al.
  • 1Barcelona Supercomputing Center, Barcelona, Spain
  • 2TNO, Department of Climate, Air and Sustainability, Utrecht, the Netherland
  • 3Atmospheric Composition Research, Finnish Meteorological Institute, 00560 Helsinki, Finland
  • 4European Centre for Medium-Range Weather Forecasts, Reading, UK
  • 5ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain

Abstract. We present a European dataset of daily-, sector-, pollutant- and country-dependent emission adjustment factors associated to the COVID-19 mobility restrictions for the year 2020. The resulting dataset covers a total of nine emission sectors, including road transport, energy industry, manufacturing industry, residential and commercial combustion, aviation, shipping, off-road transport, use of solvents, and fugitive emissions from transportation and distribution of fossil fuels. The dataset was produced to be combined with the Copernicus CAMS-REG_v5.1 2020 business-as-usual (BAU) inventory, which provides high resolution (0.1 × 0.05 deg.) emission estimates for 2020 omitting the impact of the COVID-19 restrictions. The combination of both datasets allows quantifying spatially- and temporally-resolved reductions in primary emissions from both criteria pollutants (NOx, SO2, NMVOC, NH3, CO, PM10 and PM2.5) and greenhouse gases (CO2 fossil fuel, CO2 biofuel and CH4), as well as assessing the contribution of each emission sector and European country to the overall emission changes. Estimated overall emission changes in 2020 relative to BAU emissions were as follows: −10.5 % for NOx (−602 kt), −7.8 % (−260.2 Mt) for CO2 from fossil fuels, −4.7 % (−808.5 kt) for CO, −4.6 % (−80 kt) for SO2, −3.3 % (−19.1 Mt) for CO2 from biofuels, −3.0 % (−56.3 kt) for PM10, −2.5 % (−173.3 kt) for NMVOC, −2.1 % (−24.3 kt) for PM2.5, −0.9 % (−156.1 kt) for CH4 and −0.2 % (−8.6 kt) for NH3. The most pronounced drop in emissions occurred in April (up to −32.8 % on average for NOx) when mobility restrictions were at their maxima. The emission reductions during the second epidemic wave between October and December, were three to four times lower than those occurred during the Spring lockdown, as mobility restrictions were generally softer (e.g., curfews, limited social gatherings). Italy, France, Spain, the United Kingdom and Germany were, together, the largest contributors to the total EU27 + UK absolute emission decreases. At the sectoral level, the largest emission declines were found for aviation (−51 to −56 %), followed by road transport (−15.5 % to −18.8 %), the latter being the main driver of the estimated reductions for the majority of pollutants. The collection of COVID-19 emission adjustment factors (https://doi.org/10.24380/k966-3957, Guevara et al., 2022) and the CAMS-REG_v5.1 2020 BAU gridded inventory (https://doi.org/10.24380/eptm-kn40, Kuenen et al., 2022) have been produced in support of air quality modelling studies.

Marc Guevara et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-31', Anonymous Referee #1, 26 Jan 2022
  • RC2: 'Comment on essd-2022-31', Anonymous Referee #2, 24 Feb 2022
  • AC1: 'Response to referee comments', Marc Guevara, 25 Mar 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-31', Anonymous Referee #1, 26 Jan 2022
  • RC2: 'Comment on essd-2022-31', Anonymous Referee #2, 24 Feb 2022
  • AC1: 'Response to referee comments', Marc Guevara, 25 Mar 2022

Marc Guevara et al.

Data sets

CAMS-REG-v5.1 BAU 2020 emission inventory Jeroen Kuenen, Stijn Dellaert, Antoon Visschedijk, Jukka-Pekka Jalkanen, Ingrid Super, and Hugo Denier van der Gon https://doi.org/10.24380/eptm-kn40

CAMS-REG_EAF-COVID19 emission adjustment factors Marc Guevara, Hervé Petetin, Oriol Jorba, and Carlos Pérez García-Pando https://doi.org/10.24380/k966-3957

Marc Guevara et al.

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Short summary
To control the spread of the COVID-19 disease, European governments implemented mobility restriction measures that resulted in an unprecedented drop of anthropogenic emissions. This work presents a dataset of emission adjustment factors that allows quantifying changes in 2020 European primary emissions per country and pollutant sector at the daily scale. The resulting dataset can be used as input in modelling studies aiming at quantifying the impact of COVID-19 on air quality levels.