“…Thus, the zonal average long-term trend accounts for 27% of the variance (18.5 ppb 2 ) of the normalized, deseasonalized monthly mean data, with the remainder attributed to other 10.1029/2019JD031908 factors that contribute to ozone variability. A multitude of such factors can be suggested or identified from the literature; some of the more prominent include ozone measurement errors, systematic differences in the long-term trends and seasonal cycles between the eight data sets considered in this work, systematic decadal shifts in the seasonal cycle (e.g., Parrish et al, 2013), decadal climate variability (e.g., Lin et al, 2014), incomplete mixing of air masses from different continental regions into the circulating zonal air flow (e.g., the air masses from the interior continental boundary layer that are discussed in section 3.4 and the downwind influence of Asian emissions as suggested by Lin et al, 2017), and sporadic events such as wildfires (Lin et al, 2017) and heatwaves and drought (Lin et al, 2020). Importantly, averaging the monthly means over 2-year periods greatly reduces this unexplained, chaotic variance by 87% (13.6 to 1.7 ppb 2 ), as discussed above.…”