the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Long-term trend of ozone pollution in China during 2014–2020: distinct seasonal and spatial characteristics and ozone sensitivity
Wenjie Wang
David D. Parrish
Siwen Wang
Fengxia Bao
Ruijing Ni
Suding Yang
Hongli Wang
Yafang Cheng
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- Final revised paper (published on 12 Jul 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 01 Mar 2022)
Interactive discussion
Status: closed
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RC1: 'Comment on acp-2022-123', Anonymous Referee #1, 24 Mar 2022
Wang et al. analyze the surface ozone trends in China in 2014-2020, and use NOx and VOCs measurements in a box model to investigate the shift in ozone sensitivity regime in Beijing and Shanghai in this period. They find that ozone levels increased from 2014 to 2017, remained flat afterward, and decreased in 2020. They also find that summertime ozone sensitivity in Beijing and Shanghai has changed from a VOC-limited regime to a transition regime during 2014–2020. This study focuses on an important issue and is overall in high quality. The paper is well-written and easy to follow. I would recommend publication after the following comments being addressed.
- My judgement is that the highlight of this paper is using 2014-2020 VOCs and NOx measurements in Beijing and Shanghai in the box model to identify the change of ozone sensitivity. The ozone trend in China itself has been documented in a number of studies as recognized by the authors and is well understood. I would suggest highlighting the novelty and finding of shift in ozone sensitivity in the title and introduction, instead of ozone trends.
- Line 47: From Figure 5 it is clearly that ozone increases extend to 2019. I would suggest removing “reached a plateau after 2017”.
- Line 95-97: In general, the authors can do better in catching up the more recent studies of ozone trends and ozone sensitivity in China. An example here, there are also studies pointing out the increases in tropospheric ozone in northern mid-latitudes extend to more recent years (e.g. 2017) than 2000 (Cooper et al., 2020; Gaudel et al., 2020).
- Line 102-106: It might be a bit biased to state “characterization of ozone trends in China remain sparse” and “not yet well understood how changes in precursor emissions influence the trend of ozone in China”. In fact studies of spatiotemporal ozone trends in China have been a lot as shown in Table 2. Wang et al. (2021) has addressed “how changes in precursor emissions influence the trend of ozone” using satellite observations, and there are even more studies testing the response by using chemical transport models (e.g. Chen et al., 2021) as mentioned in Section 3.3. The authors may want to soften the tune in the literature review and highlight the novelty of this study compared to the existing literatures.
- Line 130-137: Here urban and non-urban sites are distinguished by population density. It is a bit simple but fine. Nevertheless, I suggest the authors also refer to more comprehensive definition of urban/non-urban sites from the Tropospheric Assessment Report (Schultz et al., 2017) and a recent study by Gao et al. (2020), and see whether the urban/non-urban separation may influence the analyses.
- Line 148: Suggest citing Lefohn et al. (2018) for ozone metric information and implication.
- Line 168-171: The use of in-situ long-term VOCs data is much appreciated and makes the study stand out from existing literatures. However, the VOCs measurements, in particular their trends, should be presented in figure to support the study.
- Line 331-333. Do VOCs measurement in Beijing and Shanghai show decrease from 2019 to 2020? This is critical for understanding ozone decrease in 2020. A recent study by Yin et al. (2021) suggest the ozone decrease in 2020 is also partly attributed to decrease in VOCs emissions. I wonder whether the authors can prove or disprove such statement from their observations and box model analyses.
Reference
Chen, X., Jiang, Z., Shen, Y., Li, R., Fu, Y., Liu, J., et al. (2021). Chinese regulations are working—Why is surface ozone over industrialized areas still high? Applying lessons from northeast US air quality evolution. Geophysical Research Letters, 48, e2021GL092816. https://doi.org/10.1029/2021GL092816
Cooper, O. R., Schultz, M. G., Schroeder, S., Chang, K.-L., Gaudel, A., Benítez, G. C., Cuevas, E., Fröhlich, M., Galbally, I. E., Molloy, S., Kubistin, D., Lu, X., McClure-Begley, A., Nédélec, P., O'Brien, J., Oltmans, S. J., Petropavlovskikh, I., Ries, L., Senik, I., Sjöberg, K., Solberg, S., Spain, G. T., Spangl, W., Steinbacher, M., Tarasick, D., Thouret, V., and Xu, X.: Multi-decadal surface ozone trends at globally distributed remote locations, Elem Sci Anth, 8, 23, http://doi.org/10.1525/elementa.420, 2020.
Gao, L., X. Yue, X. Y. Meng, L. Du, Y. D. Lei, C. G. Tian, and L. Qiu, 2020: Comparison of ozone and PM2.5 concentrations over urban, suburban, and background sites in China. Adv. Atmos. Sci. , 37(12), 1297−1309
Gaudel, A., Cooper, O. R., Chang, K.-L., Bourgeois, I., Ziemke, J. R., Strode, S. A., Oman, L. D., Sellitto, P., Nédélec, P., Blot, R., Thouret, V., and Granier, C.: Aircraft observations since the 1990s reveal increases of tropospheric ozone at multiple locations across the Northern Hemisphere, Science Advances, 6, eaba8272, http://doi.org/10.1126/sciadv.aba8272, 2020.
Lefohn, A. S., Malley, C. S., Smith, L., Wells, B., Hazucha, M., Simon, H., Naik, V., Mills, G., Schultz, M. G., Paoletti, E., De Marco, A., Xu, X., Zhang, L., Wang, T., Neufeld, H. S., Musselman, R. C., Tarasick, D., Brauer, M., Feng, Z., Tang, H., Kobayashi, K., Sicard, P., Solberg, S., and Gerosa, G.: Tropospheric ozone assessment report: Global ozone metrics for climate change, human health, and crop/ecosystem research, Elementa (Wash D C), 1, 1, http://doi.org/10.1525/elementa.279, 2018.
Schultz, MG, et al 2017 Tropospheric Ozone Assessment Report: Database and metrics data of global surface ozone observations. Elem Sci Anth, 5: 58, DOI: https://doi.org/10.1525/elementa.244
Wang, W., van der A, R., Ding, J., van Weele, M., and Cheng, T.: Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations, Atmos. Chem. Phys., 21, 7253-7269, http://doi.org/10.5194/acp-21-7253-2021, 2021.
Yin, H., Lu, X., Sun, Y. W., Li, K., Gao, M., Zheng, B., and Liu, C.: Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology, Environmental Research Letters, 16, http://doi.org/10.1088/1748-9326/ac3e22, 2021.
Citation: https://doi.org/10.5194/acp-2022-123-RC1 -
CC1: 'Response to Comment 3 in RC1', David Parrish, 01 Apr 2022
Reply to 'Comment on acp-2022-123', Anonymous Referee #1, 24 Mar 2022
Wenjie Wang1, David D. Parrish2, Siwen Wang1, Fengxia Bao1, Ruijing Ni3, Xin Li4, Suding Yang4, Hongli Wang5, Yafang Cheng3, Hang Su1*,
1 Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, 55128, Germany.
2 David.D.Parrish, LLC, Boulder, CO, 80303, USA;
3 Minerva Research Group, Max Planck Institute for Chemistry, Mainz 55128, Germany.
4 State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
5 State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
We are grateful for the insightful and constructive comments provided by Anonymous Referee #1 of our paper (Wang et al., 2022). We plan to fully respond to all referee comments when we revise our paper following closure of the open discussion period. However, we wish to respond to the following comment by Referee #1 while the discussion is still open, so that posting of additional comments regarding this issue will be possible:
- Line 95-97: In general, the authors can do better in catching up the more recent studies of ozone trends and ozone sensitivity in China. An example here, there are also studies pointing out the increases in tropospheric ozone in northern mid-latitudes extend to more recent years (e.g. 2017) than 2000 (Cooper et al., 2020; Gaudel et al., 2020).
We believe that this comment misinterprets the results of the cited studies. Cooper et al. (2020), Gaudel et al. (2020) and a more recent paper (Chang et al., 2022), all including the same three lead authors, present careful linear trend analyses of a wide selection of tropospheric ozone data sets, all including measurements at northern midlatitudes, but covering somewhat different time periods. These three studies all utilize linear trend analyses to quantify the mean temporal trend over the past two to three decades included in the respective ozone measurements; thus they reveal the total net ozone change over that period, but do not provide information regarding how the ozone trend varied during that time. In contrast, Parrish et al. (2020) present a non-linear analysis of the northern midlatitude ozone changes over the past four decades; this non-linear analysis not only quantifies the net ozone change over that time period, but also provides additional information regarding variation of the ozone trend during that time. Table 1 compares the net trends quantified over four different time periods by the four analyses.
Overall, the results given in Table 1 agree that only small net changes have occurred in northern midlatitude ozone over the specified time periods; all derived trends are in the range of -1.14 to +1.41 ppb/decade. These trends are of significantly smaller magnitude than the net trends reported for earlier time periods; for example Logan et al. (2012) found that ozone over Europe increased by 6.5 to 10 ppb during the 1978–1989 period, and Cooper et al. (2010) report a strong increase of 6.3 ± 3.4 ppb/decade in springtime ozone across western North America during 1995–2008. The net trends in Table 1 are small because they reflect the overall ozone change due to the increases during the 1990’s and early 2000s, and the decreases that followed the maximum concentrations reached in the mid-2000s (Parrish et al., 2020); the analyses presented in all four papers referenced in Table 1 are consistent with this picture. This non-linear character is also reflected in the analysis of Cooper et al. (2020), which found a negative trend of significantly greater magnitude for the 2000-2017 period, which included less of the early increase, compared to the 1995-2017 period.
We conclude that our original discussion on lines 95-97 in Wang et al. (2022) is correct: “The baseline ozone concentrations at northern midlatitudes increased at an average rate of ~ 0.60 ppb year−1 from 1980 to 2000 (Parrish et al., 2020).” However, as also reported by Parrish et al. (2020) that increase “… has ended, with a maximum reached in the mid‐2000s, followed by slow decrease (average = −0.09 ± 0.08 ppb year−1 from 2000 to the present).” The assertion of Referee #1 that increases in tropospheric ozone in northern mid-latitudes extend to more recent years (e.g. 2017) is not correct.
Table 1. Comparison of mean temporal trend derived from linear and non-linear trend analyses
Linear trend analysis reference
Time period
Mean linear trend (ppb/decade)
Mean trend from Parrish et al., 2020 (ppb/decade)a
Cooper et al., 2020
1995 - ~2017
-0.04 ± 0.22b
-0.24 ± 0.71
Cooper et al., 2020
2000 - ~2017
-0.54 ± 0.27b
-1.14 ± 0.94
Gaudel et al., 2020
1994 - 2016
+1.41 ± 0.16c
+0.12 ± 0.63
Chang et al., 2022
1994 - 2019
+0.04 ± 0.29d
-0.42 ± 0.75
a Calculated from the quadratic fit with the parameter values given in their Table 2 for all baseline data sets.
b Weighted mean of 12 northern midlatitude trends given in their Table 2. Each trend is weighted by the inverse square of the confidence limit reported for the trend.
c Weighted mean of 5 northern midlatitude trends given for the 950-250 hPa tropospheric ozone column in their Table S1a.
d Weighted mean of 15 northern midlatitude trends given in their Table 2.
References
Chang, K.-L., Cooper, O. R., Gaudel, A., Allaart, M., Ancellet, G., Clark, H., et al.: Impact of the COVID-19 economic downturn on tropospheric ozone trends: An uncertainty weighted data synthesis for quantifying regional anomalies above western North America and Europe. AGU Advances, 3, e2021AV000542. https://doi.org/10.1029/2021AV000542. 2022.
Cooper, O. R., Parrish, D. D., Stohl, A., Trainer, M., Nédélec, P., Thouret, V., Cammas, J. P., Oltmans, S. J., Johnson, B. J. Tarasick, D., et al.: Increasing springtime ozone mixing ratios in the free troposphere over western North America, Nature 463 (7279):344–48, doi:10.1038/nature08708, 2010.
Cooper, O. R., Schultz, M. G., Schroeder, S., Chang, K.-L., Gaudel, A., et al.: Multi-decadal surface ozone trends at globally distributed remote locations, Elem Sci Anth, 8, 23, http://doi.org/10.1525/elementa.420, 2020.
Gaudel, A., Cooper, O. R., Chang, K.-L., Bourgeois, I., Ziemke, J. R., Strode, S. A., Oman, L. D., Sellitto, P., Nédélec, P., Blot, R., Thouret, V., and Granier, C.: Aircraft observations since the 1990s reveal increases of tropospheric ozone at multiple locations across the Northern Hemisphere, Science Advances, 6, eaba8272, http://doi.org/10.1126/sciadv.aba8272, 2020.
Logan, J. A., Staehelin, J., Megretskaia, I. A., Cammas, J.‐P., Thouret, V., Claude, H., et al.: Changes in ozone over Europe: Analysis of ozone measurements from sondes, regular aircraft (MOZAIC) and alpine surface sites. Journal of Geophysical Research, 117, D09301, https://doi.org/10.1029/2011JD016952, 2012.
Parrish, D. D., Derwent, R. G., Steinbrecht, W., Stübi, R., Van Malderen, R., Steinbacher, M., Trickl, T., Ries, L., and Xu, X.: Zonal similarity of long‐term changes and seasonal cycles of baseline ozone at northern midlatitudes, J. Geophys. Res.-Atmos., 125, e2019JD031908, 2020.
Wang, W., Parrish, D. D., Wang, S., Bao, F., Ni, R., Li, X., Yang, S., Wang, H., Cheng, Y., Su, H.: Long-term trend of ozone pollution in China during 2014-2020: distinct seasonal and spatial characteristics, https://doi.org/10.5194/acp-2022-123, 2022.
Citation: https://doi.org/10.5194/acp-2022-123-CC1
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RC2: 'Comment on acp-2022-123', Anonymous Referee #2, 28 Mar 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-123/acp-2022-123-RC2-supplement.pdf
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AC1: 'Comment on acp-2022-123', Wenjie Wang, 30 May 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-123/acp-2022-123-AC1-supplement.pdf