29 Mar 2022
29 Mar 2022
Status: a revised version of this preprint is currently under review for the journal ACP.

Zonally Asymmetric Influences of the Quasi-Biennial Oscillation on Stratospheric Ozone

Wuke Wang1,2, Jin Hong1, Ming Shangguan3, Hongyue Wang1, Wei Jiang1, and Shuyun Zhao1 Wuke Wang et al.
  • 1Department of Atmospheric Science, China University of Geosciences, Wuhan, China
  • 2Key Laboratory of Meteorological Disaster (KLME), Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, China
  • 3School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

Abstract. The Quasi-Biennial Oscillation (QBO), as the dominant mode in the equatorial stratosphere, modulates the dynamical circulation as well as the distribution of trace gases in the stratosphere. While the zonal mean changes in stratospheric ozone associated with QBO have been relatively well documented, the zonal (longitudinal) differences of the ozone signals related to QBO have been less studied. Here we demonstrate that the influences of QBO on stratospheric ozone are zonally asymmetric. Based on a composite analysis using satellite data, ERA5 reanalysis and model simulations, we found that the global distribution of stratospheric ozone varies significantly during different QBO phases. During QBO westerly (QBOW) phases, the total ozone column (TCO) and stratospheric ozone are anomalously high in the tropics, while in the mid-latitudes they are anomalously low over most of the areas, especially during the winter-spring of the respective hemisphere. This confirms the results from previous studies. In the polar region, the TCO and stratospheric ozone (50–10 hPa) anomalies are seasonal dependent and zonally asymmetric: during boreal winter (DJF), positive anomalies of TCO and stratospheric ozone are evident during QBOW over the regions from Greenland to Eurasia (60º W–120º E) in the Arctic while significant negative anomalies exist over other longitudes; in boreal autumn (SON), TCO and stratospheric ozone are anomalously high in the eastern hemisphere, but anomalously low in the western hemisphere over the Arctic; significant positive stratospheric ozone anomalies exist over the South America and Atlantic sector (60º W–60º E) of the Antarctic while negative anomalies of TCO and stratospheric ozone are seen in other longitudes during its spring (SON). The consistent features of TCO and stratospheric ozone anomalies indicate that the QBO in TCO is mainly determined by the stratospheric ozone variations. Analysis of meteorological conditions indicates that ozone anomalies associated with QBO are negatively correlated with temperature changes, suggesting that the QBO in stratospheric ozone is mainly caused by dynamical transport rather than temperature. QBO affects the geopotential height and polar vortex strength and subsequently the transport of ozone-rich air from lower latitudes to the polar region, which therefore influences the ozone concentrations over the polar regions. The geopotential height anomalies are zonally asymmetric with clear wave-1 features, which indicates that QBO influences the polar vortex and stratospheric ozone mainly by modifying the wave number 1 activities.

Wuke Wang et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-174', Anonymous Referee #1, 25 Apr 2022
  • RC2: 'Comment on acp-2022-174', Anonymous Referee #2, 25 Apr 2022

Wuke Wang et al.


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Short summary
The ozone layer protects the life on the Earth by absorbing the Ultraviolet (UV) Radiation. Beside the long-term trend, there are strong interannual fluctuations in stratospheric ozone. The Quasi-Biennial Oscillation (QBO) is an important interannual mode in the stratosphere. We show some new zonally asymmetric features of its impacts on stratospheric ozone using satellite data, ERA5 reanalysis and model simulations, which is helpful to predicting the regional UV radiation at the surface.