Supporting data for: Emissions background, climate, and season determine the impacts of past and future pandemic lockdowns on atmospheric composition and climate

COVID-19 pandemic responses affected atmospheric composition and climate. These effects are historically contingent, depending on the background emissions, climate, and season in which they occur. We used the GISS ModelE Earth System Model to evaluate how atmospheric and climate impacts depend on the decade and season in which lockdowns occurred. Data underlying the figures and analysis are provided as Python numpy arrays as a courtesy for peer reviewers. These data are annual means of diagnostic variables from ModelE., We used the GISS ModelE2.1, an Earth system model with a resolution of 2° x 2.5° and 40 vertical layers. The model includes the ocean component GISS Ocean version 1, which has a horizontal resolution of 1◦ latitude by 1.25◦ longitude, and 40 vertical layers.
Briefly, ModelE2.1 has fully coupled chemistry and aerosols. ModelE2.1 only includes the first indirect effect, which is the effect of aerosols on cloud optical depth (the Twomey effect). The version used in this study, ModelE2.1, includes atmospheric chemistry and is coupled to an aerosol microphysical scheme, MATRIX (Multiconfiguration Aerosol TRacker of mIXing state.  
In addition to COVID-19 lockdown effects for 2020–2024, we evaluate the effect of lockdowns at two points in history when emissions were near their peak in North America and Europe (1980–1984) and in East Asia (2008–2012) and under a future scenario when global emissions are projected to be lower (2051–2055 under SSP2-4.5).  To evaluate the influence of seasonality...,