Articles | Volume 21, issue 2
https://doi.org/10.5194/acp-21-773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Oriol Jorba
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Albert Soret
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Hervé Petetin
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Dene Bowdalo
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Kim Serradell
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Carles Tena
Barcelona Supercomputing Center, Barcelona, 08034, Spain
Hugo Denier van der Gon
Department of Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Jeroen Kuenen
Department of Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Vincent-Henri Peuch
European Centre for Medium-Range Weather Forecasts, Reading, UK
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, 08034, Spain
ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, 08010, Spain
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Latest update: 13 Dec 2024
Short summary
Most European countries have imposed lockdowns to combat the spread of the COVID-19 pandemic. Such a socioeconomic disruption has resulted in a sudden drop of atmospheric emissions and air pollution levels. This study quantifies the daily reductions in national emissions and associated levels of nitrogen dioxide (NO2) due to the COVID-19 lockdowns in Europe, by making use of multiple open-access measured activity data as well as artificial intelligence and modelling techniques.
Most European countries have imposed lockdowns to combat the spread of the COVID-19 pandemic....
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