The modulation of total ozone (TOZ) by the quasi-biennial oscillation (QBO) not only at the equator, but also at subtropics, middle and high latitudes has long been known. As well, a large number of studies have shown seasonal synchronization and interhemispheric asymmetry of QBO effects in the TOZ in extratropical regions. However, the proposed mechanisms of seasonality and asymmetry as a consequence of the interaction of the quasi-biennial and annual cycles are not well understood. A great problem in comparing model simulations with observations and, hence, in verifying theoretical assumptions about the mechanism of extratropical ozone QBO, is the continually changing phase relationship between the annual and quasi-biennial cycles. This issue is exacerbated by the fact that, as is commonly believed, the wind QBO period is not constant, but varies irregularly from one cycle to another. In this study the influence of the QBO of equatorial stratospheric wind on the global distribution of the TOZ has been analyzed using the SBUV Merged Ozone Data Set (MOD). The investigation of the QBO effects in the TOZ in the subtropics, middle and high latitudes of both hemispheres is based on accounting for the seasonal regularities of the wind QBO, which leads to a limited number of only certain combinations of the quasi-biennial and annual cycles that can be realized. The smaller variability serves to clarify the nature of changes in extratropical ozone. A detailed analysis of the TOZ data for 1970–2021 showed that the interannual TOZ variability at subtropics, middle and high latitudes depends on the alternation of wind QBO cycles of different scenarios. The key moments of the TOZ variations are clearly associated with certain points in time during the downward propagation of the easterly and westerly QBO wind regimes and the seasonally dependent QBO circulation produced by them. These results contradict the general view that it is difficult to isolate the effect of QBO on the TOZ in extratropics because of the irregularly varying QBO period, and can be used in comparing simulated and observed extratropical ozone QBO, as well as in long-term forecast of variations in the TOZ distribution.
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