the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tropospheric bromine monoxide in Ny-Ålesund: source analysis and impacts on atmospheric chemistry
Abstract. Arctic tropospheric bromine monoxide (BrO) plays a critical role in atmospheric chemistry, particularly during springtime ozone depletion events. While sources such as sea ice, open ocean, aerosols, and snowpack have been proposed, their relative contributions remain uncertain. In this study, we addressed this uncertainty using long-term Multi-Axis Differential Optical Absorption Spectroscopy observations of BrO and aerosol profiles in Ny-Ålesund, Svalbard (78.92° N, 11.93° E), collected during March–May 2017–2023. Supporting datasets included BrO satellite retrievals, backward trajectories, and sea salt aerosol (SSA) simulations. We found a strong correlation between BrO and aerosol extinction (r = 0.51–0.76), suggesting a close association between BrO enhancements and airborne particles. Five-day backward trajectories (0–3 km) showed significant BrO correlation with sea ice contact time, particularly under strong winds. Observed BrO also correlated with modelled blowing-snow-sourced SSA concentrations and bromine emission fluxes from blowing snow. During bromine explosion events (BEEs), air mass contact with sea ice (52.0 %, 0–3 km) far exceeded that with open ocean (6.8 %), highlighting sea ice as the dominant bromine source. Within the boundary layer (<500 m), multi-year ice contributed more than first-year ice (56.1 % vs. 23.8 %) during BEEs, underscoring its importance. Snowpack-sourced bromine fluxes also correlated with BrO, although disentangling release processes remains challenging. These results provide evidence linking BrO to sea-ice and SSA processes, advancing understanding of Arctic bromine activation and its implications for ozone depletion.
Competing interests: Some authors are members of the editorial board of journal ACP.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
(7389 KB) - Metadata XML
-
Supplement
(2457 KB) - BibTeX
- EndNote
Status: open (until 30 Dec 2025)
- CC1: 'Comment on egusphere-2025-4601', Wenche Aas, 19 Nov 2025 reply
-
RC1: 'Comment on egusphere-2025-4601', Anonymous Referee #2, 08 Dec 2025
reply
The paper by Li et al. with the title “Tropospheric bromine monoxide in Ny-Alesund: source analysis and impacts on the atmospheric chemistry” presented a comprehensive dataset, including BrO, ozone, aerosol, and mercury observations and modelled results. Bromine explosion is an old topic, but it still has many unknowns for the atmospheric research community. The paper has good in-depth new findings of both measurements and modelling work. I would support publishing this work if the authors could address my questions and concerns listed here.
Major comments:
Line 25-26: This is a misleading claim. Contacting time does not necessarily mean contributions to BEEs. The longer contact with multi-year sea ice only suggests the possibility, but can not be used as a conclusive reason. Multi-year sea ice has lower salinity has been viewed as less possible as a major bromine source. To support this argument, more analysis is needed. E.g., can the increase in BrO signals from GOME be linked to the multi-year ice area? How can we rule out that 23.8% contact with first-year ice is not the real major contributor to the bromine? Some analysis, such as extreme cases, might help. E.g., if you can find any case that is only in contact with multi-year sea ice.
Line 57-59: since your major finding is that multi-year sea ice plays important role than first-year sea ice, more descriptions of current understandings and previous findings on these two sources should be provided. What are the differences between first and multi-year sea ice in terms of bromine chemistry? If they are both considered as sources, are they considered on a similar or different level in the BEE contributions?
Line 118-124: I understand this is a complicated research topic and the background is rich. The author did a good job of providing some background. However, I still read that the introduction part is not well organized. E.g., the author talked about the general features of studies of BEE first, then discussed the local observations from Ny-Alesund. In this part, they go back to the other field findings again.
Line 178: In March, I would expect the site still to have snow cover. Can the author explain why surface albedo is set to only 0.1? Even in the referenced paper, this 0.1 surface albedo is not specifically discussed. But, for satellite, typically 0.9 will be used for such conditions. Comments?
Line 219-220: p-TOMCAT is driven by ERA5, while HYSPLIT is driven by GDAS. These datasets have different vertical, horizontal, and even temporal resolutions (6 hr vs. 1 hr). Any comments on the impact of different meteorological inputs? Since p-TOMCAT is a transport model, is it possible to directly analyze sea-ice contact information from p-TOMCAT simulations?
Line 263-268: Isn’t such emission flux information part of the p-TOMCAT simulation results? If yes, what does it look like? If not, what are the main challenges here? Anyway, the point is that hybridizing results from a transport model with another trajectory model seems redundant and questionable (mainly, they are driven by different meteorological fields that have very different resolutions).
Figure 5: The general n-shape curve for the number of profiles in Fig 5a and 5c is reasonable. But why Fig 5e show double peaks?
Line 368-369: Does this “sea ice contacting time” include both multi-year and first-year sea ice? Please make this clear. Also, if yes, can you break down the sea ice contact time into multi-year and first-year sea ice?
Figures 6 and 7: as the author claimed in the abstract and conclusion that one key finding is that multi-year sea ice plays a key role, I would expect the panels to have “sea ice contact time,” meaning the contact with multi-year sea ice (not just all types of sea ice). Please make this clear in the captions and the related discussion part.
Line 430-436 and 492-495: My understanding is that the BEE in p-TOMCAT is mainly driven by this SSA production mechanism. But, here it seems the author also wants to emphasize the role of multi-year sea ice. What kind of role does the multi-year sea ice play in p-TOMCAT’s bromine simulation? I am not against the hypothesis, but is it possible to quantify the emissions from SSA and multi-year sea ice? I understand this could not be easy, but currently, the description is very tangled and confusing. Or maybe the author is suggesting blowing snow on multi-year sea ice is more productive than blowing snow on one-year sea ice? The correlation between modelled BrO and contact time with different sea ice types is very low, and their difference (0.17-0.29 vs. 0.03-0.23) is very small. This is not a good support for the argument in lines 494-495.
Technical issues:
Line 140: Some information, such as the distance between the Arctic Yellow River Station and Zeppelin Station, should be provided.
Citation: https://doi.org/10.5194/egusphere-2025-4601-RC1
Viewed
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 105 | 34 | 18 | 157 | 28 | 13 | 12 |
- HTML: 105
- PDF: 34
- XML: 18
- Total: 157
- Supplement: 28
- BibTeX: 13
- EndNote: 12
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
Just a small comment regarding citing the data used from Zeppelin. Please use the following citations & acknowledgements
Ozone: https://doi.nilu.no/doi/87NH-HWSM
Mercury (GEM): https://doi.nilu.no/doi/RKPP-ZA3R