Ozone pollution in China affected by stratospheric quasi-biennial oscillation
- 1Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- 2Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington, USA
- 1Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- 2Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington, USA
Abstract. In recent years, near-surface ozone (O3) level has been rising fast in China, with increasing damages to human health and ecosystems. In this study, the impact of stratospheric quasi-biennial oscillation (QBO) on interannual variations in summertime tropospheric O3 over China is investigated based on GEOS-Chem model simulations and satellite retrievals. QBO has a significant positive correlation with near-surface O3 concentrations over central China (92.5°–112.5° E, 26°–38° N) when the sea surface temperature (SST) over the eastern tropical Pacific is warmer than normal, with a correlation coefficient of 0.53, but QBO has no significant effect on O3 under the cold SST anomaly. Compared to the easterly phase of QBO, the near-surface O3 concentrations have an increase of up to 3 ppb (5 % relative to the average) over central China during its westerly phase under the warm SST anomaly. O3 also increases above the surface and up to the upper troposphere, with a maximum increase of 2–3 ppb (3–5 %) in 850–500 hPa over central China comparing westerly phase to easterly phase. Process-based analysis and sensitivity simulations suggest that the O3 increase over central China is mainly attributed to the anomalous downward transport of O3 during the westerly phase of QBO when a warm SST anomaly occurs in the eastern tropical Pacific, while the local chemical reactions and horizontal transport processes partly offset the O3 increase. This work suggests a potentially important role of QBO and the related vertical transport process in affecting near-surface O3 air quality, with an indication for O3 pollution prediction and prevention.
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
Journal article(s) based on this preprint
Mengyun Li et al.
Interactive discussion
Status: closed
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RC1: 'Comment on acp-2022-479', Anonymous Referee #1, 07 Sep 2022
Stratospheric quasi-biennial oscillation (QBO) is an important climate mode that not only modulates the variability in tropical climate system, but also has potential influence globally and may further lead to possible impacts on air quality. Li et al. examined the effects of QBO on interannual variabilities of tropospheric ozone over China mainly by correlation analysis with the help of GEOS-Chem simulations. It is quite an interesting and novel topic. The manuscript is well-organized and easy to follow. I suggest it to be published after addressing my comments below.
- Lines 62-64: The ‘downward transport of stratospheric ozone into troposphere’ is usually named by ‘stratospheric ozone intrusion’. I suggest authors using the proper terminology here.
- Lines 69: O3 pollution is getting worse in recent years, not decades. At least the two references did not show trends over 10 years.
- Line 153: If the anthropogenic emissions are fixed in 2017, then why use this simulation to evaluate simulated O3 interannual variability? I think changes in anthropogenic emissions could significantly influence O3 year-by-year. Also, I am very confused by the last sentence in this paragraph. Did anthropogenic emissions significantly change between 2018 and 2019?
- Lines 150-151: O3 concentrations are accounted during summertime, but QBO and Niño 3.4 indices are calculated with annual climate data (If my understanding is right). Will such mismatch significantly influence the results?
- Lines 174-175: The correlation coefficient numbers should be exhibited in one of the Tables or Figures. The same issue also shows in GEOS-Chem process analysis (lines 277, 294-299 and 305). I strongly suggest authors to add one or several figures to show the differences in O3 budget between QBOW and QBOE.
- Lines 195-197: Although authors did many analyses in this study to show that O3 differences over China can be significant only when ENSO and QBO were considered together, I still wonder if such insignificant correlations between O3 and QBO were led by some time-lag effects since the tropical QBO signal may need some time to influence China (although I’m not sure about the exact period…). Could authors try some lag-correlation analysis to examine this hypothesis?
- Lines 287-289: I don’t think changes in boundary layer height could influence vertical O3 transports between lower and upper troposphere. In addition, I suggest authors to clarify the exact levels of the vertical transport. I guess it is mainly in the free troposphere, since 850 hPa -500hPa is higher than boundary layer, but much lower than stratosphere. If so, I believe such downward transport also cannot be considered as a stratospheric ozone intrusion.
- Lines 317-321: It is interesting that QBO may have higher influences on O3 in China without anthropogenic emission. Could authors add more explanations here? And I am confused by the statement that this finding is consistent with the significant roles of vertical transport. Does the vertical transport become higher in NO_CHN compared to BASE?
- Lines 329-332: Could authors provide data or numbers to support this statement?
- Lines 366-373: I suggest to increase some discussion in the dynamic mechanism, although it may slightly beyond the scope of this study. At least one significant question needs to be answered: If the related upward-downward motion transition between QBOE and QBOW are important for O3 in China, why the correlation coefficient between O3 and QBO index is insignificant? What are possible roles of ENSO in influencing meteorological factors in China between QBOW and QBOE years? I believe further discussion depending on data analysis or literature is necessary.
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AC1: 'Reply on RC1', Mengyun Li, 21 Nov 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-479/acp-2022-479-AC1-supplement.pdf
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RC2: 'Comment on acp-2022-479', Anonymous Referee #2, 12 Oct 2022
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AC2: 'Reply on RC2', Mengyun Li, 21 Nov 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-479/acp-2022-479-AC2-supplement.pdf
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AC2: 'Reply on RC2', Mengyun Li, 21 Nov 2022
Peer review completion




Interactive discussion
Status: closed
-
RC1: 'Comment on acp-2022-479', Anonymous Referee #1, 07 Sep 2022
Stratospheric quasi-biennial oscillation (QBO) is an important climate mode that not only modulates the variability in tropical climate system, but also has potential influence globally and may further lead to possible impacts on air quality. Li et al. examined the effects of QBO on interannual variabilities of tropospheric ozone over China mainly by correlation analysis with the help of GEOS-Chem simulations. It is quite an interesting and novel topic. The manuscript is well-organized and easy to follow. I suggest it to be published after addressing my comments below.
- Lines 62-64: The ‘downward transport of stratospheric ozone into troposphere’ is usually named by ‘stratospheric ozone intrusion’. I suggest authors using the proper terminology here.
- Lines 69: O3 pollution is getting worse in recent years, not decades. At least the two references did not show trends over 10 years.
- Line 153: If the anthropogenic emissions are fixed in 2017, then why use this simulation to evaluate simulated O3 interannual variability? I think changes in anthropogenic emissions could significantly influence O3 year-by-year. Also, I am very confused by the last sentence in this paragraph. Did anthropogenic emissions significantly change between 2018 and 2019?
- Lines 150-151: O3 concentrations are accounted during summertime, but QBO and Niño 3.4 indices are calculated with annual climate data (If my understanding is right). Will such mismatch significantly influence the results?
- Lines 174-175: The correlation coefficient numbers should be exhibited in one of the Tables or Figures. The same issue also shows in GEOS-Chem process analysis (lines 277, 294-299 and 305). I strongly suggest authors to add one or several figures to show the differences in O3 budget between QBOW and QBOE.
- Lines 195-197: Although authors did many analyses in this study to show that O3 differences over China can be significant only when ENSO and QBO were considered together, I still wonder if such insignificant correlations between O3 and QBO were led by some time-lag effects since the tropical QBO signal may need some time to influence China (although I’m not sure about the exact period…). Could authors try some lag-correlation analysis to examine this hypothesis?
- Lines 287-289: I don’t think changes in boundary layer height could influence vertical O3 transports between lower and upper troposphere. In addition, I suggest authors to clarify the exact levels of the vertical transport. I guess it is mainly in the free troposphere, since 850 hPa -500hPa is higher than boundary layer, but much lower than stratosphere. If so, I believe such downward transport also cannot be considered as a stratospheric ozone intrusion.
- Lines 317-321: It is interesting that QBO may have higher influences on O3 in China without anthropogenic emission. Could authors add more explanations here? And I am confused by the statement that this finding is consistent with the significant roles of vertical transport. Does the vertical transport become higher in NO_CHN compared to BASE?
- Lines 329-332: Could authors provide data or numbers to support this statement?
- Lines 366-373: I suggest to increase some discussion in the dynamic mechanism, although it may slightly beyond the scope of this study. At least one significant question needs to be answered: If the related upward-downward motion transition between QBOE and QBOW are important for O3 in China, why the correlation coefficient between O3 and QBO index is insignificant? What are possible roles of ENSO in influencing meteorological factors in China between QBOW and QBOE years? I believe further discussion depending on data analysis or literature is necessary.
-
AC1: 'Reply on RC1', Mengyun Li, 21 Nov 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-479/acp-2022-479-AC1-supplement.pdf
-
RC2: 'Comment on acp-2022-479', Anonymous Referee #2, 12 Oct 2022
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AC2: 'Reply on RC2', Mengyun Li, 21 Nov 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-479/acp-2022-479-AC2-supplement.pdf
-
AC2: 'Reply on RC2', Mengyun Li, 21 Nov 2022
Peer review completion




Journal article(s) based on this preprint
Mengyun Li et al.
Mengyun Li et al.
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