Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study

Wang, Shengming; Zhang, Huidi; Shi, Xiangli; Zhang, Qingzhu; Wang, Wenxing; Wang, Qiao

doi:10.5194/egusphere-2025-861

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https://doi.org/10.5194/egusphere-2025-861

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26 Jun 2025

| 26 Jun 2025

Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study

Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

Abstract. Chlorine radicals are strong oxidizing agents in the atmosphere, and the process of chlorine oxidation results in the formation of chloric acid (HClO₃, CA). Recent studies have shown that CA is prevalent in the Arctic boundary layer. However, the contribution of chlorine-containing species to oceanic new particle formation (NPF) has not been fully revealed. It is expected that CA is involved in the oceanic nucleation process. In this study, the enhancement of CA-based NPF by dimethylamine (DMA) and sulfuric acid (SA) was comparatively investigated at the molecular level using density-functional theory (DFT) and atmospheric cluster dynamics simulation (ACDC). The results show that DMA can form clusters with CA through hydrogen bonding, halogen bonding and proton transfer, which reduces the energy barrier for CA-based cluster formation and significantly improves the thermodynamic stability of CA clusters. The cluster formation rate of CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF. These findings may help to reveal some of the missing sources of the Arctic NPF. The present study contributes to a deeper understanding of the influence of oceanic chlorine-containing constituents on the oceanic NPF.

Received: 24 Feb 2025 – Discussion started: 26 Jun 2025

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10 Nov 2025

Chloric acid-driven nucleation enhanced by dimethylamine and sulfuric acid in the Arctic: mechanistic study

Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

Atmos. Chem. Phys., 25, 15359–15368, https://doi.org/10.5194/acp-25-15359-2025,https://doi.org/10.5194/acp-25-15359-2025, 2025

Short summary

Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

Interactive discussion

Status: closed

CC1:
'Comment on egusphere-2025-861', James Brean, 27 Jun 2025

This manuscript presents simulations of the clustering of chloric acid (CA) with dimethylamine (DMA), and of CA with sulfuric acid (SA), using quantum chemical methods. While the modelling appears technically sound, I see two substantial issues with the framing and interpretation of the results.
First, the manuscript lacks a clear connection to Arctic atmospheric chemistry, despite suggesting relevance to this region in the title. There are no Arctic measurements presented, and beyond a brief reference to Tham et al., the discussion does not engage meaningfully with existing observations or constraints in polar environments. I am not sure the word “Arctic” belongs in the title nor abstract. However, as there are observations of chloric acid in the Arctic, it does indeed belong in the discussion.
Second, some of the conclusions appear overstated given the results. For example, the abstract states: “It is expected that CA is involved in the oceanic nucleation process,” but to my knowledge, no direct evidence currently supports this. The comparison between CA–DMA and CA–SA cluster formation rates in the abstract is also slightly misleading in my view, as CA–SA is not thought to form clusters efficiently, and a comparison with more atmospherically relevant systems (SA-DMA, HIO3-DMA) would provide more meaningful context, especially as the former of these has good experimental evidence. Similarly, the statement that “the CA–DMA cluster system in the Arctic atmosphere contributes to NPF” seems premature. In Figure 3, the evaporation rate of (CA)₃(DMA)₃ clusters is many orders of magnitude higher than that reported by other authors for (SA)₃(DMA)₃, and in Figure 4 it is only at temperatures of 238 K (roughly the north pole in the dead of winter) and DMA of 100 ppt (more than is typically observed in the middle of a city) that the authors simulate nucleation rates of ~1 /cm3 s. These conditions are unlikely to co-occur in the Arctic boundary layer (although there are likely some measurements of DMA in these regions, it's more likely ~1 pptv than 100).
The manuscript would benefit from focusing on the finding that chloric acid is unlikely to contribute to new particle formation under tropospheric conditions. This negative result is still valuable, as it helps narrow the range of plausible NPF mechanisms and guides future work.

Citation: https://doi.org/10.5194/egusphere-2025-861-CC1
- AC3:
  'Reply on CC1', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear James Brean:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC2>>
  Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
  The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
  Detailed comments are given below.
  Comments
  Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
  I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~107 molecules cm-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.
  >>Response: Thank you for your nice comment. We have revised the wording to “trace amounts of CA have been detected in the Arctic boundary layer.”
  
  Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
  Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.
  >>Response: Thank you for your nice comment. We have revised the wording to“speculated” .
  
  Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
  The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
  It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.
  >>Response: Thank you for your nice comment. We have removed the statement that “The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.” In subsequent sections, we use SA-DMA system as the control group.
  
  Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
  I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.
  >>Response: Thank you for your nice comment. We cite the latest research by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1).
  
  Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 105 to 7 × 106 molecules cm−3 (Tham et al., 2023).”
  Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.
  >>Response: Thank you for your nice comment. In the study by (Tham et al., 2023), his paper mentions that CA lacks photoactivity. We have deleted that CA is widespread in the Arctic.
  
  Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
  Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.
  >>Response: Thank you for your nice comment. We added in the article that “Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. This precisely demonstrates the value of studying the CA-DMA system—it may serve as an additional source of acidic substances in the marine atmosphere.”
  
  Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.
  >>Response: Thank you for your nice comment. The nucleation of iodine species (oxyacids and oxides) is a current hot topic(Li et al., 2024; Ning et al., 2024). Additionally, extensive quantum chemical studies have been conducted on the clustering phenomena of sulfuric acid, methanesulfonic acid, and alkali compounds(Wu et al., 2023). Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute.
  Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
  Please add the temperatures studied to this statement.
  >>Response: Thank you for your nice comment. We have supplemented that the specific temperature value studied is 238, 258 and 278K.
  Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 106 − 1.0 × 108 molecules cm−3 based on measured data.”
  Line 68 states that Tham et al measured 1.0 × 105 − 7.0 × 107. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.
  >>Response: Thank you for your nice comment. The concentration of CA used is higher than the measured value and is intended solely for testing/prediction purposes.
  
  Line 101 – Computational details: I am missing some justification to the application of the methods:
  What previous work is the funnelling approach based on?
  Why use PM7?
  Why was the ⍵B97X-D functional chosen for the study?
  How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.
  Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.
  There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.
  >>Response: Thank you for your nice comment. We have cited a substantial body of literature to demonstrate the validity of the methodology employed(Li et al., 2024; Ning et al., 2024; Wu et al., 2023).
  Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
  By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.
  >>Response: Thank you for your nice comment. In section of Conclusion, we suggest in the paper that future research could explore mixed CA-SA-DMA clusters. Yes, we will compare the nucleation rates of CA-DMA cluster systems and SA-DMA cluster systems in the paper. Comparative studies indicate that the cluster formation rate of SA-DMA clusters exceeds that of CA-DMA clusters by more than seven orders of magnitude (Zhang et al., 2022). Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  
  Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
  Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
  These two sentences are essentially stating the same. How did both end up in the manuscript?
  >>Response: Thank you for your nice comment. We have removed Line 119.
  Line 123: Remove “time-evolving”
  >>Response: Thank you for your nice comment. We have removed “time-evolving”.
  Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
  I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.
  >>Response: Thank you for your nice comment. We have changed content to “ACDC simulation conclusions are obtained based on the birth and death equation.”
  Line 129: “The (CA)5(DMA)5 clusters are set as boundary clusters (see Supporting Information (SI) for details).”
  I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)5(DMA)4 cluster. Please elaborate.
  >>Response: Thank you for your nice comment. We have designated the (CA)₅(DMA)₄ cluster as the boundary cluster and made corresponding modifications in the supplementary materials.
  Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 106 −108, cm−3, 106 −108 cm−3 and 0.1−100 ppt, respectively.”
  The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
  “Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
  Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.
  >>Response: Thank you for your nice comment. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction.
  
  Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.
  >>Response: Thank you for your nice comment. We have removed the content of Line 145-152.
  Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?
  >>Response: Thank you for your nice comment. Yes, we compared clusters studied by Engsvang et al. It is worth noting that the most stable cluster structure of CA-DMA we obtained exhibits similarities to the findings of Engsvang et al(Engsvang et al., 2024). CA-DMA clusters are primarily stabilized by hydrogen bonds.
  
  Line 169: “The ΔG values of (CA)1(SA)4 and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
  These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 174-175: Some minuses are missing in front of some values here.
  >>Response: Thank you for your nice comment. We have added the minuses.
  Line 174: “The ΔG values of (CA)1−4 clusters are 10.08 − 28.16 kcal mol−1 higher than those of the corresponding (CA)1−4(DMA)1 clusters, suggesting that pure CA clusters may grow by collision with DMA.”
  As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”.
  
  Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
  This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”. We have deleted this sentence.
  Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
  Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
  Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”
  Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 107 and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.
  >>Response: Thank you for your nice comment. We drew the relevant conclusions in Section 3.3. Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
  What is PA here?
  >>Response: Thank you for your nice comment. Here, PA refers to perchloric acid. We calculated the nucleation of chloric acid and perchloric acid in the supplementary materials.
  Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
  I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  
  Line 272: “Clusters with the same number of CA and DMA molecules ((CA)1(DMA)1, (CA)2(DMA)2, (CA)3(DMA)3, and (CA)4(DMA)4 clusters) play a key role in the growth path of CA-DMA clusters.”
  This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.
  >>Response: Thank you for your nice comment. This conclusion is consistent with the existing literature.
  Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
  I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.
  >>Response: Thank you for your nice comment. We have deleted the word “reveals”.
  Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
  With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
  >>Response: Thank you for your nice comment. We have deleted the sentence“The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF, which provides a theoretical basis for improving regional climate models (e.g., cloud condensation nucleation prediction) and assessing the Arctic aerosol-climate feedback effect.” CA-DMA cluster did not contribute. This study is important for a deeper understanding of Arctic atmospheric nucleation. The current simulations do not take into account charge effects, the involvement of water molecules, and the influence of complex atmospheric matrices (e.g., organic matter). In the future, it is necessary to validate the simulation results with field observations and extend it to multi-component (e.g., IA/SA/DMA mixing or CA-SA-DMA clusters) nucleation systems in order to quantify the contribution of chlorine-containing substances to the global NPF in a more comprehensive way.
  
  Engsvang, M., Knattrup, Y., Kubecka, J., and Elm, J.: Chlorine Oxyacids Potentially Contribute to Arctic Aerosol Formation, Environmental Science & Technology Letters, 11, 101-105, 2024.
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Li, J., Ning, A., Liu, L., and Zhang, X.: Atmospheric Bases-Enhanced Iodic Acid Nucleation: Altitude-Dependent Characteristics and Molecular Mechanisms, Environmental Science & Technology, 58, 16962-16973, 2024.
  Ning, A., Shen, J., Zhao, B., Wang, S., Cai, R., Jiang, J., Yan, C., Fu, X., Zhang, Y., and Li, J.: Overlooked significance of iodic acid in new particle formation in the continental atmosphere, Proceedings of the National Academy of Sciences, 121, e2404595121, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  Wu, N., Ning, A., Liu, L., Zu, H., Liang, D., and Zhang, X.: Methanesulfonic acid and iodous acid nucleation: a novel mechanism for marine aerosols, Physical Chemistry Chemical Physics, 25, 16745-16752, 2023.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC3
RC1:
'Comment on egusphere-2025-861', Anonymous Referee #1, 14 Jul 2025

Wang et al. comparatively studied chloric acid (CA)-based nucleation enhanced by dimethylamine (DMA) and sulfuric acid (SA) in the Arctic oceanic atmosphere. The manuscript uses quantum chemistry calculations combined with ACDC simulations to obtain the cluster thermodynamic data, nucleation rate and cluster growth pathway. A main finding is that the nucleation rate of CA-DMA system is higher than that of the CA-SA system and CA-DMA nucleation contributes to new particle formation (NPF) in the Arctic. This is currently a hot research topic relevant to the contribution of chlorine-containing species to marine NPF. The provided descriptions and figures support the results. After the authors address the following comments and questions, I will recommend the manuscript for publication.

(1) Introduction: There is no description about the relevance of chlorine cycle and chloric acid. The sources of chloric acid should be discussed.
(2) How did the authors obtain the global minima of (CA)_1-4 clusters? Please provide the configurations of (CA)_1-4in the Figure 1.
(3) What is the boundary clusters of CA-SA system?
(4) Line 220, What is PA? PA is not above-mentioned. If the authors also investigated the CA-PA nucleation mechanism in this study, please provide the relevant descriptions in the preceding sections.
(5) As shown in Figures 4 and 5a, J seems to be lower at 258.15 K than that at 278.15 K, which is in contrast with the description “the decrease in temperature further increases the J value of the CA-DMA cluster system to a higher level”. Please check and explain this.
(6) Line 231 and Figure 5b, in my opinion, the Arctic atmosphere is relatively pristine, therefore, I question whether [DMA] can reach 10 ppt. If the actual [DMA] is very low in the Arctic, CA-DMA nucleation may not effectively contribute to Arctic NPF based on the J values of Figure 5b.
(7) Figure 6 shows the growth paths of CA-DMA system at 278.15 K, [CA] = 10⁶ cm^-3 and [DMA] = 1 ppt. However, the absolute J of CA-DMA is very low (10^-13 cm^-3 s^-1) at this condition. I think the authors should mainly study the growth path at the condition that J is efficient, e.g. at 238.15 K and high precursor concentration.
(8) All the figures in the SI should be explained in the manuscript, otherwise readers may find it difficult to understand the necessity of including such materials in the SI.
(9) Many minor mistakes are shown in the manuscript, e.g., line 47, formatting error in the reference citation, “O’ dowdg”; lines 110-111, grammatical error, “based on the ωB97X-D/6-31++G(d,p) theory level is performed on the geometry”; line 159, “CA atom” should be “Cl atom”; line 157, “O-O...O-Cl” should be “O-Cl...O-Cl” et al. The authors should totally and carefully recheck the whole manuscript and correct all the mistakes.
(10) Some sentences are redundant and some expression is unclear and unnecessarily verbose in the manuscript, e.g., lines 117-119, “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.” or “The ΔG of individual clusters is calculated at different temperatures.” should be deleted; lines 185-188, “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further.” or “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.” should be deleted; lines123-125 and lines 127-129, Two sentences can be summarized to one sentence; lines 126, “……the experimental results obtained using the birth and death equations” is incorrect since birth-death equations is used to obtain ACDC simulation results rather than experimental results. Please carefully recheck the whole manuscript, delete the redundant sentences and rewrite the inappropriate expression.

Citation: https://doi.org/10.5194/egusphere-2025-861-RC1
- AC1:
  'Reply on RC1', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear reviewer:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC1>>
  Wang et al. comparatively studied chloric acid (CA)-based nucleation enhanced by dimethylamine (DMA) and sulfuric acid (SA) in the Arctic oceanic atmosphere. The manuscript uses quantum chemistry calculations combined with ACDC simulations to obtain the cluster thermodynamic data, nucleation rate and cluster growth pathway. A main finding is that the nucleation rate of CA-DMA system is higher than that of the CA-SA system and CA-DMA nucleation contributes to new particle formation (NPF) in the Arctic. This is currently a hot research topic relevant to the contribution of chlorine-containing species to marine NPF. The provided descriptions and figures support the results. After the authors address the following comments and questions, I will recommend the manuscript for publication.
  Introduction: There is no description about the relevance of chlorine cycle and chloric acid. The sources of chloric acid should be discussed.
  
  >>Response: Thank you for your nice comment. Research by Tham et al. indicates that the CA and PA observed in the Arctic atmosphere are primarily generated through homogeneous reactions involving chlorine, involving photochemical processes involving HO_x and bromine chemistry(Tham et al., 2023). Fang et al.(Fang et al., 2024) employed quantum mechanical/molecular mechanical methods to investigate that chloric acid or perchloric acid may form as the final oxidation step of chlorine oxides.
  
  (2) How did the authors obtain the global minima of (CA)1-4 clusters? Please provide the configurations of (CA)1-4 in the Figure 1.
  >>Response: Thank you for your nice comment. We have provided the structures of (CA)_1-4 in Figure 1.
  (3) What is the boundary clusters of CA-SA system?
  >>Response: Thank you for your nice comment. For (CA)_m(SA)_n (m = 0−4, n = 0−4) clusters, we select (CA)₅(SA)₄ cluster as the boundary clusters for chlorine oxoacid system in the 4 × 4 box simulation. We have placed this section of the content in the supplementary materials.
  (4) Line 220, What is PA? PA is not above-mentioned. If the authors also investigated the CA-PA nucleation mechanism in this study, please provide the relevant descriptions in the preceding sections.
  >>Response: Thank you for your nice comment. PA is perchloric acid. We have provided nucleation information for the CA-PA cluster in the supplementary materials.
  (5) As shown in Figures 4 and 5a, J seems to be lower at 258.15 K than that at 278.15 K, which is in contrast with the description “the decrease in temperature further increases the J value of the CA-DMA cluster system to a higher level”. Please check and explain this.
  >>Response: Thank you for your nice comment. When we previously used a script to calculate the CA-DMA cluster formation rate at 278.15 K, we employed a script for 3×3 cluster. We used a script designed for 4×4 clusters to calculate the CA-DMA cluster rate at 258.15 K. This discrepancy resulted in the observed outcome. By correcting to the 4×4 script for calculating the CA-DMA cluster rate at 278.15 K, the results have been adjusted. We have revised the conclusion. We have concluded that CA-DMA nucleation may not effectively contribute to Arctic NPF.
  (6) Line 231 and Figure 5b, in my opinion, the Arctic atmosphere is relatively pristine, therefore, I question whether [DMA] can reach 10 ppt. If the actual [DMA] is very low in the Arctic, CA-DMA nucleation may not effectively contribute to Arctic NPF based on the J values of Figure 5b.
  >>Response: Thank you for your nice comment. We have revised the conclusion. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction. We have concluded that CA-DMA nucleation may not effectively contribute to Arctic NPF.
  (7) Figure 6 shows the growth paths of CA-DMA system at 278.15 K, [CA] = 106 cm-3 and [DMA] = 1 ppt. However, the absolute J of CA-DMA is very low (10-13 cm-3 s-1) at this condition. I think the authors should mainly study the growth path at the condition that J is efficient, e.g. at 238.15 K and high precursor concentration.
  >>Response: Thank you for your nice comment. We have plotted the nucleation pathway of the CA-DMA cluster at 238K in Figure 6(c). Compared to the nucleation pathways observed at 278K in the CA-DMA system, pathways at 238K involve in the formation of (CA)₂(DMA)₂ to (CA)₂(DMA)₄ clusters, as well as the combination of (CA)₄(DMA)₄ clusters with a single (CA)₁(DMA)₁ cluster to generate (CA)₅(DMA)₅ clusters.
  
  (8) All the figures in the SI should be explained in the manuscript, otherwise readers may find it difficult to understand the necessity of including such materials in the SI.
  >>Response: Thank you for your nice comment. The CA-PA cluster system has a lower J value (Figure. S13-17). This may be due to the weak bond energies of Cl-O...Cl-O halogen bonds in the process of CA-PA nucleation (Figure. S12).
  
  (9) Many minor mistakes are shown in the manuscript, e.g., line 47, formatting error in the reference citation, “O’ dowdg”; lines 110-111, grammatical error, “based on the ωB97X-D/6-31++G(d,p) theory level is performed on the geometry”; line 159, “CA atom” should be “Cl atom”; line 157, “O-O...O-Cl” should be “O-Cl...O-Cl”et al. The authors should totally and carefully recheck the whole manuscript and correct all the mistakes.
  >>Response: Thank you for your nice comment. We have made the modifications.
  Some sentences are redundant and some expression is unclear and unnecessarily verbose in the manuscript, e.g., lines 117-119, “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.” or “The ΔG of individual clusters is calculated at different temperatures.” should be deleted; lines 185-188, “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further.” or “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.” should be deleted; lines123-125 and lines 127-129, Two sentences can be summarized to one sentence; lines 126, “……the experimental results obtained using the birth and death equations” is incorrect since birth-death equations is used to obtain ACDC simulation results rather than experimental results. Please carefully recheck the whole manuscript, delete the redundant sentences and rewrite the inappropriate expression.
  
  >>Response: Thank you for your nice comment. We have made the modifications.
  
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  van Pinxteren, M., Fomba, K. W., van Pinxteren, D., Triesch, N., Hoffmann, E. H., Cree, C. H., Fitzsimons, M. F., von Tümpling, W., and Herrmann, H.: Aliphatic amines at the Cape Verde Atmospheric Observatory: Abundance, origins and sea-air fluxes, Atmos. Environ., 203, 183-195, 2019.
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC1
RC2:
'Comment on egusphere-2025-861', Jonas Elm, 18 Jul 2025
Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
Detailed comments are given below.

Comments
Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~10⁷ molecules cm^-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.

Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.

Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.

Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.

Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 10⁵ to 7 × 10⁶ molecules cm⁻³ (Tham et al., 2023).”
Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.

Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.

Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.

Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
Please add the temperatures studied to this statement.

Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 10⁶ − 1.0 × 10⁸ molecules cm⁻³ based on measured data.”
Line 68 states that Tham et al measured 1.0 × 10⁵ − 7.0 × 10⁷. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.

Line 101 – Computational details: I am missing some justification to the application of the methods:
What previous work is the funnelling approach based on?

Why use PM7?

Why was the ⍵B97X-D functional chosen for the study?

How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.

Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.

There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.

Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.

Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
These two sentences are essentially stating the same. How did both end up in the manuscript?

Line 123: Remove “time-evolving”

Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.

Line 129: “The (CA)₅(DMA)₅ clusters are set as boundary clusters (see Supporting Information (SI) for details).”
I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)₅(DMA)₄ cluster. Please elaborate.

Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 10⁶ −10⁸, cm⁻³, 10⁶ −10⁸ cm⁻³ and 0.1−100 ppt, respectively.”
The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
“Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.

Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.

Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?

Line 169: “The ΔG values of (CA)₁(SA)₄ and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.

Line 174-175: Some minuses are missing in front of some values here.

Line 174: “The ΔG values of (CA)₁₋₄clusters are 10.08 − 28.16 kcal mol⁻¹ higher than those of the corresponding (CA)₁₋₄(DMA)₁ clusters, suggesting that pure CA clusters may grow by collision with DMA.”
As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.

Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?

Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.

Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”

Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 10⁷ and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.

Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
What is PA here?

Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.

Line 272: “Clusters with the same number of CA and DMA molecules ((CA)₁(DMA)₁, (CA)₂(DMA)₂, (CA)₃(DMA)₃, and (CA)₄(DMA)₄ clusters) play a key role in the growth path of CA-DMA clusters.”
This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.

Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.

Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
Citation: https://doi.org/10.5194/egusphere-2025-861-RC2
- AC2:
  'Reply on RC2', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear Jonas Elm:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC2>>
  Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
  The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
  Detailed comments are given below.
  Comments
  Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
  I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~107 molecules cm-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.
  >>Response: Thank you for your nice comment. We have revised the wording to “trace amounts of CA have been detected in the Arctic boundary layer.”
  
  Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
  Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.
  >>Response: Thank you for your nice comment. We have revised the wording to“speculated” .
  
  Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
  The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
  It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.
  >>Response: Thank you for your nice comment. We have removed the statement that “The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.” In subsequent sections, we use SA-DMA system as the control group.
  
  Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
  I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.
  >>Response: Thank you for your nice comment. We cite the latest research by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1).
  
  Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 105 to 7 × 106 molecules cm−3 (Tham et al., 2023).”
  Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.
  >>Response: Thank you for your nice comment. In the study by (Tham et al., 2023), his paper mentions that CA lacks photoactivity. We have deleted that CA is widespread in the Arctic.
  
  Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
  Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.
  >>Response: Thank you for your nice comment. We added in the article that “Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. This precisely demonstrates the value of studying the CA-DMA system—it may serve as an additional source of acidic substances in the marine atmosphere.”
  
  Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.
  >>Response: Thank you for your nice comment. The nucleation of iodine species (oxyacids and oxides) is a current hot topic(Li et al., 2024; Ning et al., 2024). Additionally, extensive quantum chemical studies have been conducted on the clustering phenomena of sulfuric acid, methanesulfonic acid, and alkali compounds(Wu et al., 2023). Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute.
  Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
  Please add the temperatures studied to this statement.
  >>Response: Thank you for your nice comment. We have supplemented that the specific temperature value studied is 238, 258 and 278K.
  Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 106 − 1.0 × 108 molecules cm−3 based on measured data.”
  Line 68 states that Tham et al measured 1.0 × 105 − 7.0 × 107. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.
  >>Response: Thank you for your nice comment. The concentration of CA used is higher than the measured value and is intended solely for testing/prediction purposes.
  
  Line 101 – Computational details: I am missing some justification to the application of the methods:
  What previous work is the funnelling approach based on?
  Why use PM7?
  Why was the ⍵B97X-D functional chosen for the study?
  How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.
  Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.
  There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.
  >>Response: Thank you for your nice comment. We have cited a substantial body of literature to demonstrate the validity of the methodology employed(Li et al., 2024; Ning et al., 2024; Wu et al., 2023).
  Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
  By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.
  >>Response: Thank you for your nice comment. In section of Conclusion, we suggest in the paper that future research could explore mixed CA-SA-DMA clusters. Yes, we will compare the nucleation rates of CA-DMA cluster systems and SA-DMA cluster systems in the paper. Comparative studies indicate that the cluster formation rate of SA-DMA clusters exceeds that of CA-DMA clusters by more than seven orders of magnitude (Zhang et al., 2022). Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  
  Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
  Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
  These two sentences are essentially stating the same. How did both end up in the manuscript?
  >>Response: Thank you for your nice comment. We have removed Line 119.
  Line 123: Remove “time-evolving”
  >>Response: Thank you for your nice comment. We have removed “time-evolving”.
  Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
  I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.
  >>Response: Thank you for your nice comment. We have changed content to “ACDC simulation conclusions are obtained based on the birth and death equation.”
  Line 129: “The (CA)5(DMA)5 clusters are set as boundary clusters (see Supporting Information (SI) for details).”
  I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)5(DMA)4 cluster. Please elaborate.
  >>Response: Thank you for your nice comment. We have designated the (CA)₅(DMA)₄ cluster as the boundary cluster and made corresponding modifications in the supplementary materials.
  Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 106 −108, cm−3, 106 −108 cm−3 and 0.1−100 ppt, respectively.”
  The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
  “Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
  Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.
  >>Response: Thank you for your nice comment. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction.
  
  Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.
  >>Response: Thank you for your nice comment. We have removed the content of Line 145-152.
  Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?
  >>Response: Thank you for your nice comment. Yes, we compared clusters studied by Engsvang et al. It is worth noting that the most stable cluster structure of CA-DMA we obtained exhibits similarities to the findings of Engsvang et al(Engsvang et al., 2024). CA-DMA clusters are primarily stabilized by hydrogen bonds.
  
  Line 169: “The ΔG values of (CA)1(SA)4 and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
  These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 174-175: Some minuses are missing in front of some values here.
  >>Response: Thank you for your nice comment. We have added the minuses.
  Line 174: “The ΔG values of (CA)1−4 clusters are 10.08 − 28.16 kcal mol−1 higher than those of the corresponding (CA)1−4(DMA)1 clusters, suggesting that pure CA clusters may grow by collision with DMA.”
  As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”.
  
  Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
  This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”. We have deleted this sentence.
  Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
  Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
  Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”
  Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 107 and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.
  >>Response: Thank you for your nice comment. We drew the relevant conclusions in Section 3.3. Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
  What is PA here?
  >>Response: Thank you for your nice comment. Here, PA refers to perchloric acid. We calculated the nucleation of chloric acid and perchloric acid in the supplementary materials.
  Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
  I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  
  Line 272: “Clusters with the same number of CA and DMA molecules ((CA)1(DMA)1, (CA)2(DMA)2, (CA)3(DMA)3, and (CA)4(DMA)4 clusters) play a key role in the growth path of CA-DMA clusters.”
  This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.
  >>Response: Thank you for your nice comment. This conclusion is consistent with the existing literature.
  Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
  I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.
  >>Response: Thank you for your nice comment. We have deleted the word “reveals”.
  Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
  With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
  >>Response: Thank you for your nice comment. We have deleted the sentence“The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF, which provides a theoretical basis for improving regional climate models (e.g., cloud condensation nucleation prediction) and assessing the Arctic aerosol-climate feedback effect.” CA-DMA cluster did not contribute. This study is important for a deeper understanding of Arctic atmospheric nucleation. The current simulations do not take into account charge effects, the involvement of water molecules, and the influence of complex atmospheric matrices (e.g., organic matter). In the future, it is necessary to validate the simulation results with field observations and extend it to multi-component (e.g., IA/SA/DMA mixing or CA-SA-DMA clusters) nucleation systems in order to quantify the contribution of chlorine-containing substances to the global NPF in a more comprehensive way.
  
  Engsvang, M., Knattrup, Y., Kubecka, J., and Elm, J.: Chlorine Oxyacids Potentially Contribute to Arctic Aerosol Formation, Environmental Science & Technology Letters, 11, 101-105, 2024.
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Li, J., Ning, A., Liu, L., and Zhang, X.: Atmospheric Bases-Enhanced Iodic Acid Nucleation: Altitude-Dependent Characteristics and Molecular Mechanisms, Environmental Science & Technology, 58, 16962-16973, 2024.
  Ning, A., Shen, J., Zhao, B., Wang, S., Cai, R., Jiang, J., Yan, C., Fu, X., Zhang, Y., and Li, J.: Overlooked significance of iodic acid in new particle formation in the continental atmosphere, Proceedings of the National Academy of Sciences, 121, e2404595121, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  Wu, N., Ning, A., Liu, L., Zu, H., Liang, D., and Zhang, X.: Methanesulfonic acid and iodous acid nucleation: a novel mechanism for marine aerosols, Physical Chemistry Chemical Physics, 25, 16745-16752, 2023.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC2
  - AC4: 'Reply on AC2', Qingzhu Zhang, 05 Oct 2025
    
    Author responses and changes to Manuscript: egusphere-2025-165  
    
    Dear editor and reviewers:
    
    We are very grateful for the constructive comments from the editor and reviewers on
    our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
    
    <<Comments from Reviewer #Report 1>>
    The authors did an excellent job in answering the comments from all reviewers. There are two minor points that I would suggest the authors correct before publication.
    
    Line 100-102: "Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The formation rate and mechanism of CA-DMA clusters deserve further investigation."
    It should be specified that CA-DMA clusters are also included in the study by Engsvang et al. This also means that the second sentence contradict the first one. However, the study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). I suggests the authors perhaps motivate by saying "The formation rate and mechanism of larger CA-DMA clusters deserve further investigation."
    >>Response: Thank you for your nice comment. Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). The formation rate and mechanism of larger CA-DMA clusters deserve further investigation.
    
    Line 117-128 (Configurational sampling): I still do not believe that the references here are doing full justice for the people putting in the hard work of developing the funneling approach and benchmarking the computational methods. Without rigorous testing and benchmarking of the quantum chemical methods, we do not know whether the end results are meaningful. There is a reason why the DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) level is extensively used. Hence, I am not entirely satisfied with the fact that the authors only cite a few papers that applied the approach.
    For instance, the funneling approach based on genetic algorithms has been spearheaded by the Shields' group and Jakub Kubecka:
    Funneling approach with OGOLEM:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.7b11236
    https://app.jove.com/t/60964/computation-atmospheric-concentrations-molecular-clusters-from-ab
    To the best of my knowledge the first group to apply ABCluster in a funneling workflow was the group of Xiuhui Zhang:
    https://doi.org/10.1016/j.chemosphere.2018.03.154
    The funneling approach based ABCluster that is basically used by every group now, was developed by Jakub Kubecka:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.9b03853
    The DLPNO-CCSD(T) method has been introduced to the field by Nanna Myllys and benchmarked by Schmitz and Elm:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.5b09762
    https://pubs.acs.org/doi/full/10.1021/acsomega.0c00436
    The choice of the wB97X-D functional and the 6-31++G(d,p) basis set for geometries has mainly been benchmarked by Elm and co-workers:
    https://www.sciencedirect.com/science/article/pii/S0009261414008379
    https://www.sciencedirect.com/science/article/pii/S2210271X16304297
    The overall DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) methodology is recommended by Smith et al and Elm et al in comprehensive reviews:
    https://doi.org/10.1016/j.jaerosci.2020.105621
    https://doi.org/10.1016/j.jaerosci.2020.105733
    >>Response: Thank you for your nice comment. We have cited these references.
    
    Sincerely
    Prof. Qingzhu Zhang
    Environment Research Institute
    Shandong University
    Qingdao 266237
    R. China
    
    Citation: https://doi.org/10.5194/egusphere-2025-861-AC4
- AC5:
  'Reply on RC2', Qingzhu Zhang, 05 Oct 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear editor and reviewers:
  
  We are very grateful for the constructive comments from the editor and reviewers on
  our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #Report 1>>
  The authors did an excellent job in answering the comments from all reviewers. There are two minor points that I would suggest the authors correct before publication.
  
  Line 100-102: "Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The formation rate and mechanism of CA-DMA clusters deserve further investigation."
  It should be specified that CA-DMA clusters are also included in the study by Engsvang et al. This also means that the second sentence contradict the first one. However, the study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). I suggests the authors perhaps motivate by saying "The formation rate and mechanism of larger CA-DMA clusters deserve further investigation."
  >>Response: Thank you for your nice comment. Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). The formation rate and mechanism of larger CA-DMA clusters deserve further investigation.
  
  Line 117-128 (Configurational sampling): I still do not believe that the references here are doing full justice for the people putting in the hard work of developing the funneling approach and benchmarking the computational methods. Without rigorous testing and benchmarking of the quantum chemical methods, we do not know whether the end results are meaningful. There is a reason why the DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) level is extensively used. Hence, I am not entirely satisfied with the fact that the authors only cite a few papers that applied the approach.
  For instance, the funneling approach based on genetic algorithms has been spearheaded by the Shields' group and Jakub Kubecka:
  Funneling approach with OGOLEM:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.7b11236
  https://app.jove.com/t/60964/computation-atmospheric-concentrations-molecular-clusters-from-ab
  To the best of my knowledge the first group to apply ABCluster in a funneling workflow was the group of Xiuhui Zhang:
  https://doi.org/10.1016/j.chemosphere.2018.03.154
  The funneling approach based ABCluster that is basically used by every group now, was developed by Jakub Kubecka:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.9b03853
  The DLPNO-CCSD(T) method has been introduced to the field by Nanna Myllys and benchmarked by Schmitz and Elm:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.5b09762
  https://pubs.acs.org/doi/full/10.1021/acsomega.0c00436
  The choice of the wB97X-D functional and the 6-31++G(d,p) basis set for geometries has mainly been benchmarked by Elm and co-workers:
  https://www.sciencedirect.com/science/article/pii/S0009261414008379
  https://www.sciencedirect.com/science/article/pii/S2210271X16304297
  The overall DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) methodology is recommended by Smith et al and Elm et al in comprehensive reviews:
  https://doi.org/10.1016/j.jaerosci.2020.105621
  https://doi.org/10.1016/j.jaerosci.2020.105733
  >>Response: Thank you for your nice comment. We have cited these references.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC5

Interactive discussion

Status: closed

CC1:
'Comment on egusphere-2025-861', James Brean, 27 Jun 2025

This manuscript presents simulations of the clustering of chloric acid (CA) with dimethylamine (DMA), and of CA with sulfuric acid (SA), using quantum chemical methods. While the modelling appears technically sound, I see two substantial issues with the framing and interpretation of the results.
First, the manuscript lacks a clear connection to Arctic atmospheric chemistry, despite suggesting relevance to this region in the title. There are no Arctic measurements presented, and beyond a brief reference to Tham et al., the discussion does not engage meaningfully with existing observations or constraints in polar environments. I am not sure the word “Arctic” belongs in the title nor abstract. However, as there are observations of chloric acid in the Arctic, it does indeed belong in the discussion.
Second, some of the conclusions appear overstated given the results. For example, the abstract states: “It is expected that CA is involved in the oceanic nucleation process,” but to my knowledge, no direct evidence currently supports this. The comparison between CA–DMA and CA–SA cluster formation rates in the abstract is also slightly misleading in my view, as CA–SA is not thought to form clusters efficiently, and a comparison with more atmospherically relevant systems (SA-DMA, HIO3-DMA) would provide more meaningful context, especially as the former of these has good experimental evidence. Similarly, the statement that “the CA–DMA cluster system in the Arctic atmosphere contributes to NPF” seems premature. In Figure 3, the evaporation rate of (CA)₃(DMA)₃ clusters is many orders of magnitude higher than that reported by other authors for (SA)₃(DMA)₃, and in Figure 4 it is only at temperatures of 238 K (roughly the north pole in the dead of winter) and DMA of 100 ppt (more than is typically observed in the middle of a city) that the authors simulate nucleation rates of ~1 /cm3 s. These conditions are unlikely to co-occur in the Arctic boundary layer (although there are likely some measurements of DMA in these regions, it's more likely ~1 pptv than 100).
The manuscript would benefit from focusing on the finding that chloric acid is unlikely to contribute to new particle formation under tropospheric conditions. This negative result is still valuable, as it helps narrow the range of plausible NPF mechanisms and guides future work.

Citation: https://doi.org/10.5194/egusphere-2025-861-CC1
- AC3:
  'Reply on CC1', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear James Brean:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC2>>
  Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
  The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
  Detailed comments are given below.
  Comments
  Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
  I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~107 molecules cm-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.
  >>Response: Thank you for your nice comment. We have revised the wording to “trace amounts of CA have been detected in the Arctic boundary layer.”
  
  Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
  Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.
  >>Response: Thank you for your nice comment. We have revised the wording to“speculated” .
  
  Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
  The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
  It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.
  >>Response: Thank you for your nice comment. We have removed the statement that “The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.” In subsequent sections, we use SA-DMA system as the control group.
  
  Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
  I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.
  >>Response: Thank you for your nice comment. We cite the latest research by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1).
  
  Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 105 to 7 × 106 molecules cm−3 (Tham et al., 2023).”
  Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.
  >>Response: Thank you for your nice comment. In the study by (Tham et al., 2023), his paper mentions that CA lacks photoactivity. We have deleted that CA is widespread in the Arctic.
  
  Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
  Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.
  >>Response: Thank you for your nice comment. We added in the article that “Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. This precisely demonstrates the value of studying the CA-DMA system—it may serve as an additional source of acidic substances in the marine atmosphere.”
  
  Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.
  >>Response: Thank you for your nice comment. The nucleation of iodine species (oxyacids and oxides) is a current hot topic(Li et al., 2024; Ning et al., 2024). Additionally, extensive quantum chemical studies have been conducted on the clustering phenomena of sulfuric acid, methanesulfonic acid, and alkali compounds(Wu et al., 2023). Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute.
  Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
  Please add the temperatures studied to this statement.
  >>Response: Thank you for your nice comment. We have supplemented that the specific temperature value studied is 238, 258 and 278K.
  Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 106 − 1.0 × 108 molecules cm−3 based on measured data.”
  Line 68 states that Tham et al measured 1.0 × 105 − 7.0 × 107. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.
  >>Response: Thank you for your nice comment. The concentration of CA used is higher than the measured value and is intended solely for testing/prediction purposes.
  
  Line 101 – Computational details: I am missing some justification to the application of the methods:
  What previous work is the funnelling approach based on?
  Why use PM7?
  Why was the ⍵B97X-D functional chosen for the study?
  How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.
  Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.
  There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.
  >>Response: Thank you for your nice comment. We have cited a substantial body of literature to demonstrate the validity of the methodology employed(Li et al., 2024; Ning et al., 2024; Wu et al., 2023).
  Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
  By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.
  >>Response: Thank you for your nice comment. In section of Conclusion, we suggest in the paper that future research could explore mixed CA-SA-DMA clusters. Yes, we will compare the nucleation rates of CA-DMA cluster systems and SA-DMA cluster systems in the paper. Comparative studies indicate that the cluster formation rate of SA-DMA clusters exceeds that of CA-DMA clusters by more than seven orders of magnitude (Zhang et al., 2022). Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  
  Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
  Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
  These two sentences are essentially stating the same. How did both end up in the manuscript?
  >>Response: Thank you for your nice comment. We have removed Line 119.
  Line 123: Remove “time-evolving”
  >>Response: Thank you for your nice comment. We have removed “time-evolving”.
  Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
  I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.
  >>Response: Thank you for your nice comment. We have changed content to “ACDC simulation conclusions are obtained based on the birth and death equation.”
  Line 129: “The (CA)5(DMA)5 clusters are set as boundary clusters (see Supporting Information (SI) for details).”
  I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)5(DMA)4 cluster. Please elaborate.
  >>Response: Thank you for your nice comment. We have designated the (CA)₅(DMA)₄ cluster as the boundary cluster and made corresponding modifications in the supplementary materials.
  Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 106 −108, cm−3, 106 −108 cm−3 and 0.1−100 ppt, respectively.”
  The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
  “Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
  Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.
  >>Response: Thank you for your nice comment. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction.
  
  Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.
  >>Response: Thank you for your nice comment. We have removed the content of Line 145-152.
  Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?
  >>Response: Thank you for your nice comment. Yes, we compared clusters studied by Engsvang et al. It is worth noting that the most stable cluster structure of CA-DMA we obtained exhibits similarities to the findings of Engsvang et al(Engsvang et al., 2024). CA-DMA clusters are primarily stabilized by hydrogen bonds.
  
  Line 169: “The ΔG values of (CA)1(SA)4 and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
  These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 174-175: Some minuses are missing in front of some values here.
  >>Response: Thank you for your nice comment. We have added the minuses.
  Line 174: “The ΔG values of (CA)1−4 clusters are 10.08 − 28.16 kcal mol−1 higher than those of the corresponding (CA)1−4(DMA)1 clusters, suggesting that pure CA clusters may grow by collision with DMA.”
  As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”.
  
  Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
  This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”. We have deleted this sentence.
  Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
  Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
  Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”
  Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 107 and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.
  >>Response: Thank you for your nice comment. We drew the relevant conclusions in Section 3.3. Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
  What is PA here?
  >>Response: Thank you for your nice comment. Here, PA refers to perchloric acid. We calculated the nucleation of chloric acid and perchloric acid in the supplementary materials.
  Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
  I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  
  Line 272: “Clusters with the same number of CA and DMA molecules ((CA)1(DMA)1, (CA)2(DMA)2, (CA)3(DMA)3, and (CA)4(DMA)4 clusters) play a key role in the growth path of CA-DMA clusters.”
  This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.
  >>Response: Thank you for your nice comment. This conclusion is consistent with the existing literature.
  Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
  I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.
  >>Response: Thank you for your nice comment. We have deleted the word “reveals”.
  Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
  With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
  >>Response: Thank you for your nice comment. We have deleted the sentence“The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF, which provides a theoretical basis for improving regional climate models (e.g., cloud condensation nucleation prediction) and assessing the Arctic aerosol-climate feedback effect.” CA-DMA cluster did not contribute. This study is important for a deeper understanding of Arctic atmospheric nucleation. The current simulations do not take into account charge effects, the involvement of water molecules, and the influence of complex atmospheric matrices (e.g., organic matter). In the future, it is necessary to validate the simulation results with field observations and extend it to multi-component (e.g., IA/SA/DMA mixing or CA-SA-DMA clusters) nucleation systems in order to quantify the contribution of chlorine-containing substances to the global NPF in a more comprehensive way.
  
  Engsvang, M., Knattrup, Y., Kubecka, J., and Elm, J.: Chlorine Oxyacids Potentially Contribute to Arctic Aerosol Formation, Environmental Science & Technology Letters, 11, 101-105, 2024.
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Li, J., Ning, A., Liu, L., and Zhang, X.: Atmospheric Bases-Enhanced Iodic Acid Nucleation: Altitude-Dependent Characteristics and Molecular Mechanisms, Environmental Science & Technology, 58, 16962-16973, 2024.
  Ning, A., Shen, J., Zhao, B., Wang, S., Cai, R., Jiang, J., Yan, C., Fu, X., Zhang, Y., and Li, J.: Overlooked significance of iodic acid in new particle formation in the continental atmosphere, Proceedings of the National Academy of Sciences, 121, e2404595121, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  Wu, N., Ning, A., Liu, L., Zu, H., Liang, D., and Zhang, X.: Methanesulfonic acid and iodous acid nucleation: a novel mechanism for marine aerosols, Physical Chemistry Chemical Physics, 25, 16745-16752, 2023.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC3
RC1:
'Comment on egusphere-2025-861', Anonymous Referee #1, 14 Jul 2025

Wang et al. comparatively studied chloric acid (CA)-based nucleation enhanced by dimethylamine (DMA) and sulfuric acid (SA) in the Arctic oceanic atmosphere. The manuscript uses quantum chemistry calculations combined with ACDC simulations to obtain the cluster thermodynamic data, nucleation rate and cluster growth pathway. A main finding is that the nucleation rate of CA-DMA system is higher than that of the CA-SA system and CA-DMA nucleation contributes to new particle formation (NPF) in the Arctic. This is currently a hot research topic relevant to the contribution of chlorine-containing species to marine NPF. The provided descriptions and figures support the results. After the authors address the following comments and questions, I will recommend the manuscript for publication.

(1) Introduction: There is no description about the relevance of chlorine cycle and chloric acid. The sources of chloric acid should be discussed.
(2) How did the authors obtain the global minima of (CA)_1-4 clusters? Please provide the configurations of (CA)_1-4in the Figure 1.
(3) What is the boundary clusters of CA-SA system?
(4) Line 220, What is PA? PA is not above-mentioned. If the authors also investigated the CA-PA nucleation mechanism in this study, please provide the relevant descriptions in the preceding sections.
(5) As shown in Figures 4 and 5a, J seems to be lower at 258.15 K than that at 278.15 K, which is in contrast with the description “the decrease in temperature further increases the J value of the CA-DMA cluster system to a higher level”. Please check and explain this.
(6) Line 231 and Figure 5b, in my opinion, the Arctic atmosphere is relatively pristine, therefore, I question whether [DMA] can reach 10 ppt. If the actual [DMA] is very low in the Arctic, CA-DMA nucleation may not effectively contribute to Arctic NPF based on the J values of Figure 5b.
(7) Figure 6 shows the growth paths of CA-DMA system at 278.15 K, [CA] = 10⁶ cm^-3 and [DMA] = 1 ppt. However, the absolute J of CA-DMA is very low (10^-13 cm^-3 s^-1) at this condition. I think the authors should mainly study the growth path at the condition that J is efficient, e.g. at 238.15 K and high precursor concentration.
(8) All the figures in the SI should be explained in the manuscript, otherwise readers may find it difficult to understand the necessity of including such materials in the SI.
(9) Many minor mistakes are shown in the manuscript, e.g., line 47, formatting error in the reference citation, “O’ dowdg”; lines 110-111, grammatical error, “based on the ωB97X-D/6-31++G(d,p) theory level is performed on the geometry”; line 159, “CA atom” should be “Cl atom”; line 157, “O-O...O-Cl” should be “O-Cl...O-Cl” et al. The authors should totally and carefully recheck the whole manuscript and correct all the mistakes.
(10) Some sentences are redundant and some expression is unclear and unnecessarily verbose in the manuscript, e.g., lines 117-119, “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.” or “The ΔG of individual clusters is calculated at different temperatures.” should be deleted; lines 185-188, “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further.” or “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.” should be deleted; lines123-125 and lines 127-129, Two sentences can be summarized to one sentence; lines 126, “……the experimental results obtained using the birth and death equations” is incorrect since birth-death equations is used to obtain ACDC simulation results rather than experimental results. Please carefully recheck the whole manuscript, delete the redundant sentences and rewrite the inappropriate expression.

Citation: https://doi.org/10.5194/egusphere-2025-861-RC1
- AC1:
  'Reply on RC1', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear reviewer:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC1>>
  Wang et al. comparatively studied chloric acid (CA)-based nucleation enhanced by dimethylamine (DMA) and sulfuric acid (SA) in the Arctic oceanic atmosphere. The manuscript uses quantum chemistry calculations combined with ACDC simulations to obtain the cluster thermodynamic data, nucleation rate and cluster growth pathway. A main finding is that the nucleation rate of CA-DMA system is higher than that of the CA-SA system and CA-DMA nucleation contributes to new particle formation (NPF) in the Arctic. This is currently a hot research topic relevant to the contribution of chlorine-containing species to marine NPF. The provided descriptions and figures support the results. After the authors address the following comments and questions, I will recommend the manuscript for publication.
  Introduction: There is no description about the relevance of chlorine cycle and chloric acid. The sources of chloric acid should be discussed.
  
  >>Response: Thank you for your nice comment. Research by Tham et al. indicates that the CA and PA observed in the Arctic atmosphere are primarily generated through homogeneous reactions involving chlorine, involving photochemical processes involving HO_x and bromine chemistry(Tham et al., 2023). Fang et al.(Fang et al., 2024) employed quantum mechanical/molecular mechanical methods to investigate that chloric acid or perchloric acid may form as the final oxidation step of chlorine oxides.
  
  (2) How did the authors obtain the global minima of (CA)1-4 clusters? Please provide the configurations of (CA)1-4 in the Figure 1.
  >>Response: Thank you for your nice comment. We have provided the structures of (CA)_1-4 in Figure 1.
  (3) What is the boundary clusters of CA-SA system?
  >>Response: Thank you for your nice comment. For (CA)_m(SA)_n (m = 0−4, n = 0−4) clusters, we select (CA)₅(SA)₄ cluster as the boundary clusters for chlorine oxoacid system in the 4 × 4 box simulation. We have placed this section of the content in the supplementary materials.
  (4) Line 220, What is PA? PA is not above-mentioned. If the authors also investigated the CA-PA nucleation mechanism in this study, please provide the relevant descriptions in the preceding sections.
  >>Response: Thank you for your nice comment. PA is perchloric acid. We have provided nucleation information for the CA-PA cluster in the supplementary materials.
  (5) As shown in Figures 4 and 5a, J seems to be lower at 258.15 K than that at 278.15 K, which is in contrast with the description “the decrease in temperature further increases the J value of the CA-DMA cluster system to a higher level”. Please check and explain this.
  >>Response: Thank you for your nice comment. When we previously used a script to calculate the CA-DMA cluster formation rate at 278.15 K, we employed a script for 3×3 cluster. We used a script designed for 4×4 clusters to calculate the CA-DMA cluster rate at 258.15 K. This discrepancy resulted in the observed outcome. By correcting to the 4×4 script for calculating the CA-DMA cluster rate at 278.15 K, the results have been adjusted. We have revised the conclusion. We have concluded that CA-DMA nucleation may not effectively contribute to Arctic NPF.
  (6) Line 231 and Figure 5b, in my opinion, the Arctic atmosphere is relatively pristine, therefore, I question whether [DMA] can reach 10 ppt. If the actual [DMA] is very low in the Arctic, CA-DMA nucleation may not effectively contribute to Arctic NPF based on the J values of Figure 5b.
  >>Response: Thank you for your nice comment. We have revised the conclusion. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction. We have concluded that CA-DMA nucleation may not effectively contribute to Arctic NPF.
  (7) Figure 6 shows the growth paths of CA-DMA system at 278.15 K, [CA] = 106 cm-3 and [DMA] = 1 ppt. However, the absolute J of CA-DMA is very low (10-13 cm-3 s-1) at this condition. I think the authors should mainly study the growth path at the condition that J is efficient, e.g. at 238.15 K and high precursor concentration.
  >>Response: Thank you for your nice comment. We have plotted the nucleation pathway of the CA-DMA cluster at 238K in Figure 6(c). Compared to the nucleation pathways observed at 278K in the CA-DMA system, pathways at 238K involve in the formation of (CA)₂(DMA)₂ to (CA)₂(DMA)₄ clusters, as well as the combination of (CA)₄(DMA)₄ clusters with a single (CA)₁(DMA)₁ cluster to generate (CA)₅(DMA)₅ clusters.
  
  (8) All the figures in the SI should be explained in the manuscript, otherwise readers may find it difficult to understand the necessity of including such materials in the SI.
  >>Response: Thank you for your nice comment. The CA-PA cluster system has a lower J value (Figure. S13-17). This may be due to the weak bond energies of Cl-O...Cl-O halogen bonds in the process of CA-PA nucleation (Figure. S12).
  
  (9) Many minor mistakes are shown in the manuscript, e.g., line 47, formatting error in the reference citation, “O’ dowdg”; lines 110-111, grammatical error, “based on the ωB97X-D/6-31++G(d,p) theory level is performed on the geometry”; line 159, “CA atom” should be “Cl atom”; line 157, “O-O...O-Cl” should be “O-Cl...O-Cl”et al. The authors should totally and carefully recheck the whole manuscript and correct all the mistakes.
  >>Response: Thank you for your nice comment. We have made the modifications.
  Some sentences are redundant and some expression is unclear and unnecessarily verbose in the manuscript, e.g., lines 117-119, “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.” or “The ΔG of individual clusters is calculated at different temperatures.” should be deleted; lines 185-188, “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further.” or “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.” should be deleted; lines123-125 and lines 127-129, Two sentences can be summarized to one sentence; lines 126, “……the experimental results obtained using the birth and death equations” is incorrect since birth-death equations is used to obtain ACDC simulation results rather than experimental results. Please carefully recheck the whole manuscript, delete the redundant sentences and rewrite the inappropriate expression.
  
  >>Response: Thank you for your nice comment. We have made the modifications.
  
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  van Pinxteren, M., Fomba, K. W., van Pinxteren, D., Triesch, N., Hoffmann, E. H., Cree, C. H., Fitzsimons, M. F., von Tümpling, W., and Herrmann, H.: Aliphatic amines at the Cape Verde Atmospheric Observatory: Abundance, origins and sea-air fluxes, Atmos. Environ., 203, 183-195, 2019.
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC1
RC2:
'Comment on egusphere-2025-861', Jonas Elm, 18 Jul 2025
Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
Detailed comments are given below.

Comments
Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~10⁷ molecules cm^-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.

Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.

Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.

Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.

Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 10⁵ to 7 × 10⁶ molecules cm⁻³ (Tham et al., 2023).”
Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.

Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.

Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.

Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
Please add the temperatures studied to this statement.

Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 10⁶ − 1.0 × 10⁸ molecules cm⁻³ based on measured data.”
Line 68 states that Tham et al measured 1.0 × 10⁵ − 7.0 × 10⁷. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.

Line 101 – Computational details: I am missing some justification to the application of the methods:
What previous work is the funnelling approach based on?

Why use PM7?

Why was the ⍵B97X-D functional chosen for the study?

How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.

Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.

There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.

Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.

Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
These two sentences are essentially stating the same. How did both end up in the manuscript?

Line 123: Remove “time-evolving”

Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.

Line 129: “The (CA)₅(DMA)₅ clusters are set as boundary clusters (see Supporting Information (SI) for details).”
I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)₅(DMA)₄ cluster. Please elaborate.

Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 10⁶ −10⁸, cm⁻³, 10⁶ −10⁸ cm⁻³ and 0.1−100 ppt, respectively.”
The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
“Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.

Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.

Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?

Line 169: “The ΔG values of (CA)₁(SA)₄ and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.

Line 174-175: Some minuses are missing in front of some values here.

Line 174: “The ΔG values of (CA)₁₋₄clusters are 10.08 − 28.16 kcal mol⁻¹ higher than those of the corresponding (CA)₁₋₄(DMA)₁ clusters, suggesting that pure CA clusters may grow by collision with DMA.”
As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.

Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?

Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.

Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”

Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 10⁷ and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.

Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
What is PA here?

Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.

Line 272: “Clusters with the same number of CA and DMA molecules ((CA)₁(DMA)₁, (CA)₂(DMA)₂, (CA)₃(DMA)₃, and (CA)₄(DMA)₄ clusters) play a key role in the growth path of CA-DMA clusters.”
This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.

Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.

Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
Citation: https://doi.org/10.5194/egusphere-2025-861-RC2
- AC2:
  'Reply on RC2', Qingzhu Zhang, 18 Sep 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear Jonas Elm:
  We are very grateful for the constructive comments from you on our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #RC2>>
  Wang and coworkers study the clustering of chloric acid (CA) with sulfuric acid (SA) and dimethylamine (DMA) using quantum chemical methods and cluster dynamics simulations. The cluster configurational space is studies with standard methodologies, relying on the global search algorithm of the ABCluster program and narrowing down the generated configurations in a funneling approach. The final applied level of theory---DLPNO-CCSD(T)/aug-cc-pVTZ//⍵B97X-D/6-31++G(d,p)---is up to the current standards, but I miss some justification for the choices. Based on the finding that the CA-DMA cluster formation rate is higher than the CA-SA cluster formation rate, the authors conclude that the CA-DMA clusters must contribute to new particle formation (NPF) in the Arctic. I believe this comparison is quite misleading and do not see evidence in the manuscript that the clusters contribute to NPF in the Arctic.
  The manuscript is relatively easy to follow, the calculations are carried out at a respectable level of theory and the cluster systems are of relevance and value to the atmospheric chemistry community. However, especially the abstract and conclusions have misleading statements that leaves the reader with the impression that these clusters are unambiguously important for NPF in the Arctic. I highly urge the authors to clearly state that the CA-DMA clustering system does not appear relevant for Arctic NPF, to ensure that the calculations are not taken at face value and misused. Remember, it is an equally as important finding that CA-DMA does not contribute to NPF. Hence, I fully agree with the community comment by James Brean and believe some major rephrasing is required before I can recommend publication. For instance there are many dubious duplicate sentences and paragraphs.
  Detailed comments are given below.
  Comments
  Line 26: “Recent studies have shown that CA is prevalent in the Arctic boundary layer.”
  I would definitely not call CA prevalent in the Arctic. The only existing measurements are from Tham et al. with values up to ~107 molecules cm-3. I would consider this trace amounts. Perhaps state that trace amounts has been detected in the atmosphere instead.
  >>Response: Thank you for your nice comment. We have revised the wording to “trace amounts of CA have been detected in the Arctic boundary layer.”
  
  Line 29: “It is expected that CA is involved in the oceanic nucleation process.”
  Based on available literature and current knowledge on nucleation in the marine boundary layer, I would not expect CA to contribute. You could say “speculated” to be involved, but definitely not expected.
  >>Response: Thank you for your nice comment. We have revised the wording to“speculated” .
  
  Line 36: “The cluster formation rate of the CA-DMA cluster system is higher than that of the CA-SA cluster system. The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.”
  The fact that X is larger than Y does not tell us anything about their relevance for NPF. You need to look at the absolute cluster formation rate numbers.
  It would be much more relevant to compare the systems to cluster systems that are known to contribute to cluster formation. A natural comparison would be the SA-DMA system, where QC data is freely available to directly compare with. I get the impression that this comparison was not made, as it would diminish the relevance of the CA-DMA system, as SA-DMA binds stronger.
  >>Response: Thank you for your nice comment. We have removed the statement that “The CA-DMA cluster system in the Arctic atmosphere contributes to NPF.” In subsequent sections, we use SA-DMA system as the control group.
  
  Line 47: “New particle formation (NPF) contributes to more than half of the global cloud condensation nuclei, which in turn contributes to cloud formation (Gordon et al., 2017; Takegawa et al., 2020; Williamson et al., 2019; Zhang et al., 2012).”
  I believe the recent study by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1) would be worth mentioning here.
  >>Response: Thank you for your nice comment. We cite the latest research by Zhao et al. (https://www.nature.com/articles/s41586-024-07547-1).
  
  Line 66: “Chloric acid (CA) has no photoactivity and CA is ubiquitous in the spring in the Arctic, with concentrations estimated to range from 1 × 105 to 7 × 106 molecules cm−3 (Tham et al., 2023).”
  Please add a reference to the lack of photoactivity of CA. In addition, I would refrain from calling CA ubiquitous in the Arctic, as there are simply no measurements to back up this statement.
  >>Response: Thank you for your nice comment. In the study by (Tham et al., 2023), his paper mentions that CA lacks photoactivity. We have deleted that CA is widespread in the Arctic.
  
  Line 87: “Considering its strong nucleation ability(Sipilä et al., 2010; Faloona, 2009), it is likely that SA molecules nucleate in marine regions along with CA.”
  Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. I believe this motivates why the CA-DMA system is interesting to study. It could be an additional source of acids in the marine atmosphere that could contribute. However, in its current formulation this statement is slightly misleading. Please rephrase.
  >>Response: Thank you for your nice comment. We added in the article that “Sulfuric acid by itself is a horrible nucleator in the lower atmosphere. It is only in the combination with bases that SA contributes to NPF. This precisely demonstrates the value of studying the CA-DMA system—it may serve as an additional source of acidic substances in the marine atmosphere.”
  
  Line 90: As this is a purely theoretical study, a literature survey stating the current knowledge about cluster formation from QC calculations would be in its place. What has been studied previously, and which compounds are believed to contribute. For instance, nucleation by iodine species (oxo acids and oxides) is a hot topic at the moment. In addition, there are many QC studies on clustering of sulfuric acid, methane sulfonic acid and bases. Finally, it should be mentioned that CA cluster formation has been studied previously by Engsvang et al. (https://pubs.acs.org/doi/abs/10.1021/acs.estlett.3c00902) where it was concluded that CA did not contribute.
  >>Response: Thank you for your nice comment. The nucleation of iodine species (oxyacids and oxides) is a current hot topic(Li et al., 2024; Ning et al., 2024). Additionally, extensive quantum chemical studies have been conducted on the clustering phenomena of sulfuric acid, methanesulfonic acid, and alkali compounds(Wu et al., 2023). Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute.
  Line 94: “The temperatures used in this study are within the temperature range of the atmospheric boundary layer in the ordinary range(Miřijovský and Langhammer, 2015).”
  Please add the temperatures studied to this statement.
  >>Response: Thank you for your nice comment. We have supplemented that the specific temperature value studied is 238, 258 and 278K.
  Line 96: “The concentration of CA was estimated to be in the range of 1.0 × 106 − 1.0 × 108 molecules cm−3 based on measured data.”
  Line 68 states that Tham et al measured 1.0 × 105 − 7.0 × 107. Why not use this range? It is perfectly fine to use a higher concentration if you clearly state that this is higher than measured and used for testing/prediction purposes.
  >>Response: Thank you for your nice comment. The concentration of CA used is higher than the measured value and is intended solely for testing/prediction purposes.
  
  Line 101 – Computational details: I am missing some justification to the application of the methods:
  What previous work is the funnelling approach based on?
  Why use PM7?
  Why was the ⍵B97X-D functional chosen for the study?
  How to justify that the small 6-31++G(d,p) basis set is adequate for modelling these systems.
  Is the DLPNO-CCSD(T)/aug-cc-pVTZ level good enough for calculating the single point energies.
  There are numerous benchmarks on cluster formation to justify these choices. Without referring to benchmarks it just appear as arbitrary choices.
  >>Response: Thank you for your nice comment. We have cited a substantial body of literature to demonstrate the validity of the methodology employed(Li et al., 2024; Ning et al., 2024; Wu et al., 2023).
  Line 104: Only the CA-SA and CA-DMA clusters are studied. This implies that the simulated cluster formation rates are from two isolated systems. To fully capture the dynamics of the system the mixed CA-SA-DMA clusters should be studied. This aspect should be commented upon in the manuscript.
  By now the SA-DMA system is generally seen as the appropriate benchmark to compare simulated NPF rate to, as it has, both experimentally and theoretically, been shown to be important for NPF. Hence, I highly suggest that the authors compare their simulations to the SA-DMA system, as this is a much more meaningful comparison. The QC data is freely available at the same level of theory in the literature. In this manner the authors can state how large a fraction of CA-DMA that would be expected compared to SA-DMA. It is no shame that the CA-DMA rates are lower, as it is valuable to quantify by how much.
  >>Response: Thank you for your nice comment. In section of Conclusion, we suggest in the paper that future research could explore mixed CA-SA-DMA clusters. Yes, we will compare the nucleation rates of CA-DMA cluster systems and SA-DMA cluster systems in the paper. Comparative studies indicate that the cluster formation rate of SA-DMA clusters exceeds that of CA-DMA clusters by more than seven orders of magnitude (Zhang et al., 2022). Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  
  Line 117: “The free energy of formation (ΔG) of individual clusters is calculated at different temperatures 238, 258, and 278 K.”
  Line 119: “The ΔG of individual clusters is calculated at different temperatures. ”
  These two sentences are essentially stating the same. How did both end up in the manuscript?
  >>Response: Thank you for your nice comment. We have removed Line 119.
  Line 123: Remove “time-evolving”
  >>Response: Thank you for your nice comment. We have removed “time-evolving”.
  Line 125: “there is good agreement between the conclusions of the ACDC simulations and the experimental results obtained using the birth and death equations (Almeida et al., 2013; Lu et al., 2020; Kürten et al., 2018).”
  I do not understand what you mean by “good agreement between conclusions” here. Conclusions on what? Please rephrase.
  >>Response: Thank you for your nice comment. We have changed content to “ACDC simulation conclusions are obtained based on the birth and death equation.”
  Line 129: “The (CA)5(DMA)5 clusters are set as boundary clusters (see Supporting Information (SI) for details).”
  I do not understand why the 5-5 cluster was chosen as the boundary cluster. This would imply that only cluster collisions (1-1 clusters or larger) would lead to a flux out of the system. Were monomer collisions allowed to contribute to the flux out? In figure 6 it looks like the flux out is by CA collisions, leading to the (CA)5(DMA)4 cluster. Please elaborate.
  >>Response: Thank you for your nice comment. We have designated the (CA)₅(DMA)₄ cluster as the boundary cluster and made corresponding modifications in the supplementary materials.
  Line 131: “The concentration ranges of [CA], [SA] and [DMA] were set to 106 −108, cm−3, 106 −108 cm−3 and 0.1−100 ppt, respectively.”
  The choice of concentration ranges and at what regions these are relevant should be further discussed. For instance, on line 77 the authors state:
  “Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF (Van Pinxteren et al., 2019).”
  Hence, 100 ppt of DMA is likely unrealistic in the Arctic and over the oceans.
  >>Response: Thank you for your nice comment. Widely dispersed DMA has an atmospheric concentration of 0.4 − 10 pptv over the ocean and plays a key role in marine NPF(Van Pinxteren et al., 2019). DMA at concentrations up to 100 ppt is primarily used for prediction.
  
  Line 136-144 and Line 145-152: These two paragraphs appear to be reformulations of each other. I am a bit puzzled on how both have made it to the manuscript. Please remove one of them.
  >>Response: Thank you for your nice comment. We have removed the content of Line 145-152.
  Line 140 – Figure 1: I believe it would be worth commenting on how the obtained cluster structures compare with the literature. How does the cluster structures studied here compare to the clusters studied by Engsvang et al?
  >>Response: Thank you for your nice comment. Yes, we compared clusters studied by Engsvang et al. It is worth noting that the most stable cluster structure of CA-DMA we obtained exhibits similarities to the findings of Engsvang et al(Engsvang et al., 2024). CA-DMA clusters are primarily stabilized by hydrogen bonds.
  
  Line 169: “The ΔG values of (CA)1(SA)4 and pure SA clusters are lower than the corresponding ΔG values of the corresponding CA-DMA system. ”
  These clusters do not contribute to the growth paths of the systems. Hence, I do not see how this sentence contributes to the discussion. I suggest the authors remove the statement.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 174-175: Some minuses are missing in front of some values here.
  >>Response: Thank you for your nice comment. We have added the minuses.
  Line 174: “The ΔG values of (CA)1−4 clusters are 10.08 − 28.16 kcal mol−1 higher than those of the corresponding (CA)1−4(DMA)1 clusters, suggesting that pure CA clusters may grow by collision with DMA.”
  As the pure CA clusters would never form in the first place, I do not believe you can state this. You could state that DMA stabilizes the CA clusters. Please rephrase.
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”.
  
  Line 177: “As the size of CA-DMA clusters increases, the clusters gradually form a cage-symmetric structure.”
  This statement appears a bit out of place. What is the implication of forming cage-symmetric structures?
  >>Response: Thank you for your nice comment. We have revised to “DMA stabilizes the CA clusters”. We have deleted this sentence.
  Line 185-187: “The smaller value of ∑γ means that the stability of CA-DMA clusters is higher and the clusters shrink further. ”
  Line 187-188: “The smaller value of ∑γ implies the higher stability of CA-DMA clusters and further contraction of the clusters.”
  Again these two sentences are just reformulations of each other … Please remove one. With that being said, I do not understand what the authors mean by “shrinking/contracting” in this context. A low total evaporation rate would mean that the clusters do not fragment in the atmosphere.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  Line 188: “… CA molecules and the number of DMA molecules …” -> “… CA and DMA molecules …”
  Section 3.2: In this section the authors find that even at the high end of realistic concentrations (CA = 107 and DMA = 10 ppt) the clusters do not form at 278 K. Hence, the authors lower the temperature to 258 K and 238 K to suppress evaporation and see higher NPF rates. It should be very clearly stated in the this section under which exact conditions this will be relevant. Considering temperature and concentrations relevant to the Arctic would lead to essentially zero clusters being formed from the CA-DMA system. The authors should more transparently present this finding. Again, while negative, this is also an important result, that still further our understanding of marine and Arctic NPF.
  >>Response: Thank you for your nice comment. We drew the relevant conclusions in Section 3.3. Under temperature and concentration parameters relevant to Arctic environments, the CA-DMA system could be incapable of forming cluster structures. Despite the negative outcome, this represents a significant advancement in advancing research on nucleation mechanisms in marine and Arctic regions.
  Line 270: “The cluster formation rates of the pure CA-PA and CA-SA nucleation systems are relatively low, and the contribution of DMA to CA nucleation is stronger than that of SA.”
  What is PA here?
  >>Response: Thank you for your nice comment. Here, PA refers to perchloric acid. We calculated the nucleation of chloric acid and perchloric acid in the supplementary materials.
  Line 271: “The CA-DMA nucleation system contributes to the NPF at low Arctic temperatures.”
  I do not believe that the presented data allows for this conclusion. You need to make this argument from the absolute NPF rates, not by comparing the relative rates between CA-SA and CA-DMA.
  >>Response: Thank you for your nice comment. We have deleted this sentence.
  
  Line 272: “Clusters with the same number of CA and DMA molecules ((CA)1(DMA)1, (CA)2(DMA)2, (CA)3(DMA)3, and (CA)4(DMA)4 clusters) play a key role in the growth path of CA-DMA clusters.”
  This is a very common finding in acid-base clustering systems. Please elaborate on that this is consistent with the existing literature, so it is not conceived as an entirely new finding.
  >>Response: Thank you for your nice comment. This conclusion is consistent with the existing literature.
  Line 276: “The study clarifies the role of CA in the marine NPF and reveals the mechanism of DMA acting as a key enhancer to CA-based NPF through intermolecular interactions.”
  I believe the word “reveals” is a bit exaggerating here. From SA it is well-known that bases enhance NPF. Hence, I would tone down this as a novel finding. It is expected.
  >>Response: Thank you for your nice comment. We have deleted the word “reveals”.
  Line 278: “The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF …”
  With the presented data, I do not believe this is a valid statement. In addition, in the context of cluster formation, synergy is usually used in three or more component systems. Please rephrase.
  >>Response: Thank you for your nice comment. We have deleted the sentence“The results suggest that CA-DMA synergistic nucleation in the Arctic atmosphere is an under-recognized source of NPF, which provides a theoretical basis for improving regional climate models (e.g., cloud condensation nucleation prediction) and assessing the Arctic aerosol-climate feedback effect.” CA-DMA cluster did not contribute. This study is important for a deeper understanding of Arctic atmospheric nucleation. The current simulations do not take into account charge effects, the involvement of water molecules, and the influence of complex atmospheric matrices (e.g., organic matter). In the future, it is necessary to validate the simulation results with field observations and extend it to multi-component (e.g., IA/SA/DMA mixing or CA-SA-DMA clusters) nucleation systems in order to quantify the contribution of chlorine-containing substances to the global NPF in a more comprehensive way.
  
  Engsvang, M., Knattrup, Y., Kubecka, J., and Elm, J.: Chlorine Oxyacids Potentially Contribute to Arctic Aerosol Formation, Environmental Science & Technology Letters, 11, 101-105, 2024.
  Fang, Y.-G., Wei, L., Francisco, J. S., Zhu, C., and Fang, W.-H.: Mechanistic Insights into Chloric Acid Production by Hydrolysis of Chlorine Trioxide at an Air–Water Interface, Journal of the American Chemical Society, 146, 21052-21060, 2024.
  Li, J., Ning, A., Liu, L., and Zhang, X.: Atmospheric Bases-Enhanced Iodic Acid Nucleation: Altitude-Dependent Characteristics and Molecular Mechanisms, Environmental Science & Technology, 58, 16962-16973, 2024.
  Ning, A., Shen, J., Zhao, B., Wang, S., Cai, R., Jiang, J., Yan, C., Fu, X., Zhang, Y., and Li, J.: Overlooked significance of iodic acid in new particle formation in the continental atmosphere, Proceedings of the National Academy of Sciences, 121, e2404595121, 2024.
  Tham, Y. J., Sarnela, N., Iyer, S., Li, Q., Angot, H., Quéléver, L. L., Beck, I., Laurila, T., Beck, L. J., and Boyer, M.: Widespread detection of chlorine oxyacids in the Arctic atmosphere, Nature Communications, 14, 1769, 2023.
  Wu, N., Ning, A., Liu, L., Zu, H., Liang, D., and Zhang, X.: Methanesulfonic acid and iodous acid nucleation: a novel mechanism for marine aerosols, Physical Chemistry Chemical Physics, 25, 16745-16752, 2023.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC2
  - AC4: 'Reply on AC2', Qingzhu Zhang, 05 Oct 2025
    
    Author responses and changes to Manuscript: egusphere-2025-165  
    
    Dear editor and reviewers:
    
    We are very grateful for the constructive comments from the editor and reviewers on
    our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
    
    <<Comments from Reviewer #Report 1>>
    The authors did an excellent job in answering the comments from all reviewers. There are two minor points that I would suggest the authors correct before publication.
    
    Line 100-102: "Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The formation rate and mechanism of CA-DMA clusters deserve further investigation."
    It should be specified that CA-DMA clusters are also included in the study by Engsvang et al. This also means that the second sentence contradict the first one. However, the study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). I suggests the authors perhaps motivate by saying "The formation rate and mechanism of larger CA-DMA clusters deserve further investigation."
    >>Response: Thank you for your nice comment. Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). The formation rate and mechanism of larger CA-DMA clusters deserve further investigation.
    
    Line 117-128 (Configurational sampling): I still do not believe that the references here are doing full justice for the people putting in the hard work of developing the funneling approach and benchmarking the computational methods. Without rigorous testing and benchmarking of the quantum chemical methods, we do not know whether the end results are meaningful. There is a reason why the DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) level is extensively used. Hence, I am not entirely satisfied with the fact that the authors only cite a few papers that applied the approach.
    For instance, the funneling approach based on genetic algorithms has been spearheaded by the Shields' group and Jakub Kubecka:
    Funneling approach with OGOLEM:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.7b11236
    https://app.jove.com/t/60964/computation-atmospheric-concentrations-molecular-clusters-from-ab
    To the best of my knowledge the first group to apply ABCluster in a funneling workflow was the group of Xiuhui Zhang:
    https://doi.org/10.1016/j.chemosphere.2018.03.154
    The funneling approach based ABCluster that is basically used by every group now, was developed by Jakub Kubecka:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.9b03853
    The DLPNO-CCSD(T) method has been introduced to the field by Nanna Myllys and benchmarked by Schmitz and Elm:
    https://pubs.acs.org/doi/full/10.1021/acs.jpca.5b09762
    https://pubs.acs.org/doi/full/10.1021/acsomega.0c00436
    The choice of the wB97X-D functional and the 6-31++G(d,p) basis set for geometries has mainly been benchmarked by Elm and co-workers:
    https://www.sciencedirect.com/science/article/pii/S0009261414008379
    https://www.sciencedirect.com/science/article/pii/S2210271X16304297
    The overall DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) methodology is recommended by Smith et al and Elm et al in comprehensive reviews:
    https://doi.org/10.1016/j.jaerosci.2020.105621
    https://doi.org/10.1016/j.jaerosci.2020.105733
    >>Response: Thank you for your nice comment. We have cited these references.
    
    Sincerely
    Prof. Qingzhu Zhang
    Environment Research Institute
    Shandong University
    Qingdao 266237
    R. China
    
    Citation: https://doi.org/10.5194/egusphere-2025-861-AC4
- AC5:
  'Reply on RC2', Qingzhu Zhang, 05 Oct 2025
  Author responses and changes to Manuscript: egusphere-2025-165  
  
  Dear editor and reviewers:
  
  We are very grateful for the constructive comments from the editor and reviewers on
  our manuscript (ID: egusphere-2025-165, original title: Chloric Acid-Driven Nucleation Enhanced by Dimethylamine and Sulfuric acid in the Arctic: Mechanistic Study. We have studied these comments carefully and have made corresponding revisions which marked in red in the revised manuscript. The all comments and our replies are listed as follows:
  
  <<Comments from Reviewer #Report 1>>
  The authors did an excellent job in answering the comments from all reviewers. There are two minor points that I would suggest the authors correct before publication.
  
  Line 100-102: "Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The formation rate and mechanism of CA-DMA clusters deserve further investigation."
  It should be specified that CA-DMA clusters are also included in the study by Engsvang et al. This also means that the second sentence contradict the first one. However, the study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). I suggests the authors perhaps motivate by saying "The formation rate and mechanism of larger CA-DMA clusters deserve further investigation."
  >>Response: Thank you for your nice comment. Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of CA clusters, concluding that CA did not contribute. The study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). The formation rate and mechanism of larger CA-DMA clusters deserve further investigation.
  
  Line 117-128 (Configurational sampling): I still do not believe that the references here are doing full justice for the people putting in the hard work of developing the funneling approach and benchmarking the computational methods. Without rigorous testing and benchmarking of the quantum chemical methods, we do not know whether the end results are meaningful. There is a reason why the DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) level is extensively used. Hence, I am not entirely satisfied with the fact that the authors only cite a few papers that applied the approach.
  For instance, the funneling approach based on genetic algorithms has been spearheaded by the Shields' group and Jakub Kubecka:
  Funneling approach with OGOLEM:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.7b11236
  https://app.jove.com/t/60964/computation-atmospheric-concentrations-molecular-clusters-from-ab
  To the best of my knowledge the first group to apply ABCluster in a funneling workflow was the group of Xiuhui Zhang:
  https://doi.org/10.1016/j.chemosphere.2018.03.154
  The funneling approach based ABCluster that is basically used by every group now, was developed by Jakub Kubecka:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.9b03853
  The DLPNO-CCSD(T) method has been introduced to the field by Nanna Myllys and benchmarked by Schmitz and Elm:
  https://pubs.acs.org/doi/full/10.1021/acs.jpca.5b09762
  https://pubs.acs.org/doi/full/10.1021/acsomega.0c00436
  The choice of the wB97X-D functional and the 6-31++G(d,p) basis set for geometries has mainly been benchmarked by Elm and co-workers:
  https://www.sciencedirect.com/science/article/pii/S0009261414008379
  https://www.sciencedirect.com/science/article/pii/S2210271X16304297
  The overall DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) methodology is recommended by Smith et al and Elm et al in comprehensive reviews:
  https://doi.org/10.1016/j.jaerosci.2020.105621
  https://doi.org/10.1016/j.jaerosci.2020.105733
  >>Response: Thank you for your nice comment. We have cited these references.
  
  Sincerely
  Prof. Qingzhu Zhang
  Environment Research Institute
  Shandong University
  Qingdao 266237
  R. China
  
  Citation: https://doi.org/10.5194/egusphere-2025-861-AC5

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Qingzhu Zhang on behalf of the Authors (21 Sep 2025) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (22 Sep 2025) by Joachim Curtius

RR by Jonas Elm (25 Sep 2025)

Suggestions for revision or reasons for rejection

The authors did an excellent job in answering the comments from all reviewers. There are two minor points that I would suggest the authors correct before publication.

Line 100-102: "Engsvang et al.(Engsvang et al., 2024) has investigated the formation mechanism of
CA clusters, concluding that CA did not contribute. The formation rate and
mechanism of CA-DMA clusters deserve further investigation."

It should be specified that CA-DMA clusters are also included in the study by Engsvang et al. This also means that the second sentence contradict the first one. However, the study by Engsvang was on fairly small clusters (up to 2 acid-base pairs). I suggests the authors perhaps motivate by saying "The formation rate and mechanism of larger CA-DMA clusters deserve further investigation."

Line 117-128 (Configurational sampling): I still do not believe that the references here are doing full justice for the people putting in the hard work of developing the funneling approach and benchmarking the computational methods. Without rigorous testing and benchmarking of the quantum chemical methods, we do not know whether the end results are meaningful. There is a reason why the DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) level is extensively used. Hence, I am not entirely satisfied with the fact that the authors only cite a few papers that applied the approach.

For instance, the funneling approach based on genetic algorithms has been spearheaded by the Shields' group and Jakub Kubecka:

Funneling approach with OGOLEM:
https://pubs.acs.org/doi/full/10.1021/acs.jpca.7b11236
https://app.jove.com/t/60964/computation-atmospheric-concentrations-molecular-clusters-from-ab

To the best of my knowledge the first group to apply ABCluster in a funneling workflow was the group of Xiuhui Zhang:
https://doi.org/10.1016/j.chemosphere.2018.03.154

The funneling approach based ABCluster that is basically used by every group now, was developed by Jakub Kubecka:
https://pubs.acs.org/doi/full/10.1021/acs.jpca.9b03853

The DLPNO-CCSD(T) method has been introduced to the field by Nanna Myllys and benchmarked by Schmitz and Elm:
https://pubs.acs.org/doi/full/10.1021/acs.jpca.5b09762
https://pubs.acs.org/doi/full/10.1021/acsomega.0c00436

The choice of the wB97X-D functional and the 6-31++G(d,p) basis set for geometries has mainly been benchmarked by Elm and co-workers:
https://www.sciencedirect.com/science/article/pii/S0009261414008379
https://www.sciencedirect.com/science/article/pii/S2210271X16304297

The overall DLPNO-CCSD(T)/aug-cc-pVTZ//wB97X-D/6-31++G(d,p) methodology is recommended by Smith et al and Elm et al in comprehensive reviews:
https://doi.org/10.1016/j.jaerosci.2020.105621
https://doi.org/10.1016/j.jaerosci.2020.105733

I believe credit should be given to the groups developing the quantum chemical workflows and not just people applying them.

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RR by Anonymous Referee #1 (05 Oct 2025)

EF by Vitaly Muravyev (24 Sep 2025) Supplement

ED: Publish subject to minor revisions (review by editor) (05 Oct 2025) by Joachim Curtius

AR by Qingzhu Zhang on behalf of the Authors (05 Oct 2025) Author's response Author's tracked changes Manuscript

ED: Publish as is (06 Oct 2025) by Joachim Curtius

AR by Qingzhu Zhang on behalf of the Authors (07 Oct 2025)

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10 Nov 2025

Chloric acid-driven nucleation enhanced by dimethylamine and sulfuric acid in the Arctic: mechanistic study

Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

Atmos. Chem. Phys., 25, 15359–15368, https://doi.org/10.5194/acp-25-15359-2025,https://doi.org/10.5194/acp-25-15359-2025, 2025

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Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

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Shengming Wang, Huidi Zhang, Xiangli Shi, Qingzhu Zhang, Wenxing Wang, and Qiao Wang

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Recent studies have shown that CA is prevalent in the Arctic boundary layer. However, the mechanism of CA-based nucleation is unclear. We provide molecular-level evidence that DMA can efficiently promote the formation of CA-based clusters using a theoretical approach. The proposed CA-DMA nucleation mechanism may help us to deeply understand marine new particle formation events in the Arctic boundary layer.


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