the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The 21st-century wetting inhibits growing surface ozone in Northwestern China
Abstract. Previous studies have shown that surface air temperature (SAT) facilitates the formation of surface ozone (O3), while relative humidity (RH) often inhibits ozone generation. However, the degree to which O3 may respond simultaneously to rising SATs and RH due to climate change remains less understood. We conducted extensive atmospheric chemistry model scenario simulations to investigate the impacts of long-term trends of humidification and warming on summer O3 concentrations in Northwestern China (NW) from 1998 to 2017, a period during which this region experienced both warming and the most significant wetting trend in China. We found that the summer mean O3 level in NW increased by 19.9 % during this time. The changes in meteorology led to a reduction in O3 levels, primarily due to humidification in NW, which counteracts the warming-induced O3 increase. We demonstrate that the wetting trend in NW will continue from 2019 to 2030 under a shared socioeconomic pathway (SSP) in conjunction with a representative concentration pathway SSP5-RCP8.5, but will either cease or shift to drier conditions from 2019 to 2060 under the SSP2-RCP4.5. No significant responses of O3 fluctuations to RH variations were observed, partly due to manual intervention under the SSP2-RCP4.5.
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CC1: 'Comment on egusphere-2025-258', Min Shao, 28 Feb 2025
Can you provide a copy of your WRF-Chem namelist?
Why only those 8 cities are selected?
How did you fix SAT and RH from 1998? It seems there are large differences between Fig. 8b and Fig. 8c, can you please provide some statistical results?
Citation: https://doi.org/10.5194/egusphere-2025-258-CC1 -
AC3: 'Reply on CC1', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC3-supplement.pdf
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AC3: 'Reply on CC1', Jianmin Ma, 19 Jun 2025
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RC1: 'Comment on egusphere-2025-258', Anonymous Referee #1, 23 Apr 2025
This paper reported that the modeled decline in surface ozone levels appears closely linked to a regional wetting trend in northwestern China, in line with observations. Increased precipitation enhances the removal of ozone precursors and ozone itself through wet deposition and promotes cloud cover, which reduces photochemical ozone production by limiting sunlight. Additionally, higher humidity and wetter conditions can alter atmospheric chemistry, leading to lower ozone formation rates. Together, these factors contribute significantly to the reduction in surface ozone concentrations in northwestern China. Authors conducted extensive model sensitivity simulations to highlight falling ozone concentrations induced by rising humidity in this part of China. The results are convincing and the paper is publishable in the ACP after addressing following comments.
1. Figure 1 captions indicate the figure illustrates O3 attribution (fraction) between the two scenarios (S1 and S3), but the figure does not show such attribution. I would understand here you mean “difference” in Fig. 1c. You can add such the attribution figure as the fraction between Fig. 1a and 1b in revised Fig. 1, which could help readers understand further the effect of meteorology on O3 trend.
2. Figure 2c and line 261-262, does SAT trend in scenario 2 (S2) differ from baseline scenario S1? Unless you turned on feedback simulations in WRF-Chem, SAT trends between S1 and S2 should not differ each other.
3. There are several objectively analyzed ozone databases providing global and China’s gridded daily O3 concentrations, such as MERRA-2. Authors may compare their modeled O3 trend under baseline scenario (S1) with these datasets, thereby further verifying their model results.
Citation: https://doi.org/10.5194/egusphere-2025-258-RC1 -
AC1: 'Reply on RC1', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC1-supplement.pdf
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AC1: 'Reply on RC1', Jianmin Ma, 19 Jun 2025
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RC2: 'Comment on egusphere-2025-258', Anonymous Referee #2, 22 May 2025
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AC2: 'Reply on RC2', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC2-supplement.pdf
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AC2: 'Reply on RC2', Jianmin Ma, 19 Jun 2025
Status: closed
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CC1: 'Comment on egusphere-2025-258', Min Shao, 28 Feb 2025
Can you provide a copy of your WRF-Chem namelist?
Why only those 8 cities are selected?
How did you fix SAT and RH from 1998? It seems there are large differences between Fig. 8b and Fig. 8c, can you please provide some statistical results?
Citation: https://doi.org/10.5194/egusphere-2025-258-CC1 -
AC3: 'Reply on CC1', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC3-supplement.pdf
-
AC3: 'Reply on CC1', Jianmin Ma, 19 Jun 2025
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RC1: 'Comment on egusphere-2025-258', Anonymous Referee #1, 23 Apr 2025
This paper reported that the modeled decline in surface ozone levels appears closely linked to a regional wetting trend in northwestern China, in line with observations. Increased precipitation enhances the removal of ozone precursors and ozone itself through wet deposition and promotes cloud cover, which reduces photochemical ozone production by limiting sunlight. Additionally, higher humidity and wetter conditions can alter atmospheric chemistry, leading to lower ozone formation rates. Together, these factors contribute significantly to the reduction in surface ozone concentrations in northwestern China. Authors conducted extensive model sensitivity simulations to highlight falling ozone concentrations induced by rising humidity in this part of China. The results are convincing and the paper is publishable in the ACP after addressing following comments.
1. Figure 1 captions indicate the figure illustrates O3 attribution (fraction) between the two scenarios (S1 and S3), but the figure does not show such attribution. I would understand here you mean “difference” in Fig. 1c. You can add such the attribution figure as the fraction between Fig. 1a and 1b in revised Fig. 1, which could help readers understand further the effect of meteorology on O3 trend.
2. Figure 2c and line 261-262, does SAT trend in scenario 2 (S2) differ from baseline scenario S1? Unless you turned on feedback simulations in WRF-Chem, SAT trends between S1 and S2 should not differ each other.
3. There are several objectively analyzed ozone databases providing global and China’s gridded daily O3 concentrations, such as MERRA-2. Authors may compare their modeled O3 trend under baseline scenario (S1) with these datasets, thereby further verifying their model results.
Citation: https://doi.org/10.5194/egusphere-2025-258-RC1 -
AC1: 'Reply on RC1', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC1-supplement.pdf
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AC1: 'Reply on RC1', Jianmin Ma, 19 Jun 2025
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RC2: 'Comment on egusphere-2025-258', Anonymous Referee #2, 22 May 2025
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AC2: 'Reply on RC2', Jianmin Ma, 19 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-258/egusphere-2025-258-AC2-supplement.pdf
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AC2: 'Reply on RC2', Jianmin Ma, 19 Jun 2025
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