Statistical examination reveals significant correlations between stratospheric ozone and temperature, suggesting solar activity impacts climate patterns.
The results of a statistical analysis and comparison of the seasonal-mean altitude profiles of ozone content in the stratosphere and lower mesosphere above Moscow, obtained from ground-based microwave radiometric measurements, and the corresponding temperature profiles from satellite data are presented. The analysis included ensembles of data for the autumn, winter, and spring seasons of the 1996-2006 and 2007-2017 decades, which coincided with the 23rd and 24th cycles of solar activity. Based on these data, the seasonal-mean altitude profiles of parameters and their variances, the joint ozone-temperature correlation and covariance functions, the inter-altitude correlation and covariance functions, the temporal structural, autocorrelation and autocovariance functions, as well as the frequency spectra of covariances were obtained. When comparing these statistical parameters over two decades, statistically significant correlations and trends were found. In particular, during the winter season of the 2007-2017 decade, when solar activity was reduced, there was a significant decrease in seasonal-mean temperature profiles over a wide range of heights around the maximum of the ozone layer, up to -8.4 K at an altitude of 37 km. The result is particularly interesting because this decrease in the average winter temperature in the decade with reduced solar activity correlates with the most significant (up to 28 % at 38-39 km) decrease in the average winter variations in the ozone profile above 29 km, as well as with the decrease in its average decadal-mean variations, which we found earlier. For the first time in studies of the ozonosphere, seasonal-mean inter-altitude joint ozone-temperature correlation and covariance functions were applied and obtained for the decades 1996-2006 and 2007-2017. In particular, the areas of the greatest correlation of ozone with temperature, which are observed for temperatures at altitudes below 35 km, and the areas of the greatest anticorrelation, which are above this altitude, were identified.
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Гайкович et al. (2025) studied this question.
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