Articles | Volume 21, issue 17
Research article
08 Sep 2021
Research article |  | 08 Sep 2021

A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic

Kang Sun, Lingbo Li, Shruti Jagini, and Dan Li

Model code and software

Physical Oversampling code for ACP RRNES paper Kang Sun

Short summary
We bridge the gap between satellite column observations and emissions by accounting for the dynamic lifetime of pollutants due to wind dispersion and the chemical lifetime due to chemical reactions. Applying it to the Po Valley air basin, we derive the monthly emissions of nitrogen oxides using satellite nitrogen dioxide observations. We further quantify the COVID-19-driven decline of emissions and estimate a 22 % decrease in nitrogen oxide emissions due to the pandemic in 2020.
Final-revised paper