Data for Air Quality Model Sensitivity Study during COVID-19 Lockdown

This repository contains data and scripts supporting a study on the sensitivity of an air quality model to emission change, considering the special situation during the COVID-19 pandemic It includes: CHIMERE model simulation control file (*.par) and procesed outputs, for different emission scenarios. Scripts for estimating Business-as-Usual (BAU) predictions using Generalized Additive Model (GAM), integrating ERA5 reanalysis, surface observations, and synoptic data. Post-processing scripts for calculating different metrics. 2020 Business-as-Usual (BAU) daily predictions for NO2 and O3