Abstract

The key factors affecting the variation of the ‘ozone valley’, which appears during the boreal summer in the upper troposphere and lower stratosphere (UTLS) over the South Asian High (SAH) and its adjacent areas, have not been determined. This study has performed statistical analysis to improve the understanding of the roles of the sea surface temperature (SST), tropopause height, and the West Pacific Subtropical High (WPSH) on the ozone valley. Based on the European Center for Medium-Range Weather Forecasts Interim Re-Analysis (ERA5), Modern Era Retrospective Analysis for Research and Applications dataset version 2 (MERRA2), and the Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) observation dataset, we examined the principal components of the zonal deviation of the total column ozone (TCO*) in the UTLS by applying the empirical orthogonal function (EOF), Liang-Kleeman information flow method, regression analysis, and composite analysis. The variations of the TCO* anomalies show three dominant modes, namely the east-west dipole mode in the low latitude region, the east-west tripole mode in the middle latitude region, and the south-north mode. According to the regression analysis and information flow, the three leading principal components of TCO* variations are related to the SST near Indonesia and the western Pacific Ocean in low latitudes, the tropopause height over the Iranian Plateau (IP), and the strength of the SAH over the eastern part of the Tibetan Plateau (TP), which is linked to the synchronousness between the SAH and the WPSH. For the east-west dipole mode in the low latitude region, composite analysis shows the interaction between the atmosphere and ocean causes the strengthening of the southern trough at 850 hPa and the divergence at 200 hPa, resulting in a decrease of the TCO* in the UTLS near the low latitude region around the TP. For the east-west tripole mode in the middle latitude region, the composite analysis shows obvious negative anomalies over the IP, where the TCO* reduces and the extent of the ozone valley over the IP increases with the rise of the tropopause. Comparatively, the south-north mode shows obvious positive anomalies over the TP, where the TCO* increases and the extent of the ozone valley over the TP decreases with a weak SAH. This mode is closely related to the location of the WPSH. In summary, the leading factors affecting the three dominant modes for the variations of the TCO* anomalies are SST, tropopause height, and the WPSH.

Highlights

  • 90% of the atmospheric ozone (O3) is present in the stratosphere (WMO, 2011)

  • The statistical analysis has improved our understanding of the roles of the sea surface temperature (SST), tropopause height, and West Pacific Subtropical High (WPSH) in affecting the ozone valley

  • Using the ERA5 reanalysis dataset from 1979 to 2019, the MERRA2 reanalysis dataset from 1980 to 2019, and the Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) observation dataset from 1984 to 2019, we examined the individual contribution of each principal component to the summertime ozone valley in the upper troposphere and lower stratosphere (UTLS) over the SAH and its adjacent areas

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Summary

INTRODUCTION

90% of the atmospheric ozone (O3) is present in the stratosphere (WMO, 2011). Stratospheric ozone regulates the amount of solar ultraviolet (UV) radiation received at the Earth’s surface, and shields living organisms from harmful UV. Many studies of the mechanisms that lead to the formation of the ozone valley in the UTLS over the SAH and its adjacent areas have found three leading causes: 1) dynamic effects including the atmospheric circulation anomalies driven by thermal forcing (Tian et al, 2008; Zhang et al, 2014), the stratosphere-troposphere exchange (STE) (Zhou et al, 2004) and the Asian monsoon (Bian et al, 2011; Das et al, 2019); 2) large-scale orography; and 3) atmospheric chemical reactions. Previous studies have indicated an ‘ozone valley’ near the UTLS over the SAH and its adjacent areas via analyzing a range of different data, such as MLS satellite (Guo et al, 2015), Ozone. For the West Pacific Subtropical High (WPSH) index, we used data from the China Meteorological Administration National Climate Center (https://cmdp.ncc-cma.net/Monitoring/cn_stp_ wpshp.php)

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