Global impact of COVID-19 restrictions on the surface concentrations of nitrogen dioxide and ozone

<p>Social distancing to combat the COVID-19 pandemic has led to widespread reductions in air pollutant emissions. Quantifying these changes requires a business-as-usual counterfactual that accounts for the synoptic and seasonal variability of air pollutants. We use a machine learning algorithm...

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Bibliographic Details
Main Authors: C. A. Keller, M. J. Evans, K. E. Knowland, C. A. Hasenkopf, S. Modekurty, R. A. Lucchesi, T. Oda, B. B. Franca, F. C. Mandarino, M. V. Díaz Suárez, R. G. Ryan, L. H. Fakes, S. Pawson
Format: Article
Language:English
Published: Copernicus Publications 2021-03-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/3555/2021/acp-21-3555-2021.pdf