The Global Modeling Initiative Chemistry and Transport Model (GMI CTM) was run with and without the chemical reactions that cause ozone depletion to quantify the Arctic depletion. We calculated the maximum column O3 depletion each season averaged over the polar cap (63o-90oN). We also counted the number of days each season that the polar cap temperatures were low enough to form polar stratospheric clouds.
Polar stratospheric clouds (PSCs) play an important role in Antarctic ozone destruction but the extent of PSCs varies a lot from year to year. These high altitude clouds form only at very low temperatures help destroy ozone in two ways: They provide a surface which converts benign forms of chlorine into reactive, ozone-destroying forms, and they remove nitrogen compounds that moderate the destructive impact of chlorine
The maximum O3 depletion (Figure 2) is a linear function of number of days cold enough to form PSCs. From this we estimate O3 depletion for the years prior to Aura with similar chlorine levels (1993-2004) using only MERRA temperatures.
Significance: Based on the ozone depletion/cold days relationship, we used MERRA temperatures to quantify depletion for years before Aura. The depletion we calculated explains the large interannual variability observed in Arctic March O3 (figure 3). The horizontal line at 455 DU represents the assumed 'undepleted' level of Arctic spring O3.
We found that ~2/3 of the observed interannual variability (figure 3/yellow) was caused by variations in the O3 transported to the polar region while only ~1/3 was due to depletion (figure 3/blue). Both of these variations are controlled by the strength of wave energy entering the Arctic stratosphere each winter. More wave energy means higher Arctic O3. The greatest Arctic ozone depletion (63-90°N average) in this period was 10% and it occurred in 2011.
Relevance for Future Science: MLS N2O and O3 measurements and the GMI chemistry transport model integrated with meteorological reanalyses provide a means to understand how chemistry and transport work together when polar ozone changes. The model and data combination make it possible the attribute the causes of O3 variations. Attribution is critical for identifying ozone recovery due to the Montreal Protocol. No other satellite, ground-based, or aircraft instruments provide daily global dynamical and chemical information comparable to MLS .
Data Sources: Aura Microwave Limb Sounder O3 and N2O version 4; the NASA MERRA reanalysis.
References: Strahan, S. E., A.R. Douglass, S.D. Steenrod (2016), Chemical and Dynamical Impacts of Stratospheric Sudden Warmings on Arctic Ozone Variability, J. Geophys. Res., 121, 11,836-11,851, doi:10.1002/2016JD025128.