the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multiscale atmospheric modeling suggests ammonia is necessary but not sufficient to explain new particle formation in the Colorado boundary layer
Abstract. New particle formation (NPF) is an important source of cloud condensation nuclei (CCN) in the atmosphere, and CCN affect Earth's radiative balance via aerosol-cloud interactions. Numerous chemical species are involved, but most climate models still represent NPF only from sulfuric acid and water. However, the roles of ammonia and ions in NPF alongside sulfuric acid are also well-quantified compared to other species. Here, we tested a parameterization of ternary NPF from sulfuric acid, ammonia, ions and water in the UK Met Office Unified Model using surface and aircraft measurements from the 2014 FRAPPÉ and DISCOVER-AQ field campaigns. We used a nested convection-permitting regional model setup with a grid spacing of 3 km, which allowed us to represent the inhomogeneous sources of emissions in the area. The aircraft simultaneously measured sulfuric acid and ammonia vapor concentrations and aerosol size distributions, so we can test whether NPF from these species can explain observed aerosol number concentration. We also compared particle number concentrations in a lower resolution global simulation to surface observations. In our model, errors in the NPF mechanism are compensated by errors in simulated concentrations of gas-phase precursors. We devised a method to disentangle these errors, but only qualitative results were obtained with the datasets we used. While our results suggest ammonia and sulfuric acid are likely important to NPF in Colorado and elsewhere, other species must also make important contributions. Overall, however, the ternary NPF mechanism gives a substantial improvement on the Unified Model's existing representation of aerosol number concentrations.
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Status: final response (author comments only)
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RC1: 'Comment on egusphere-2026-932', Anonymous Referee #1, 22 Jul 2026
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-932/egusphere-2026-932-RC1-supplement.pdfCitation: https://doi.org/
10.5194/egusphere-2026-932-RC1 -
RC2: 'Comment on egusphere-2026-932', Anonymous Referee #2, 30 Aug 2026
In this manuscript, the authors added a parameterization of ternary new particle formation (NPF) of H2SO4, NH3, H2O, and ions (D2026) in the UK Met Office Unified Model (UK-UM) and compared the predicted particle number concentrations with those based on default parameterization of H2SO4-H2O binary homogeneous nucleation (V2002). They evaluated the model performance in a high resolution configuration with 3 km grid spacing over Colorado using surface and aircraft measurements from the FRAPPE and DISCOVER-AQ field campaigns taken in the summer of 2014. They also compared annual mean particle number concentrations in a lower resolution global simulation to surface observations. Simultaneous measurements of key precursor gases (H2SO4 and NH3) and particle size distributions during FRAPPE and DISCOVER-AQ provide a useful dataset to evaluate nucleation mechanisms and model performance. The authors found substantial differences between model simulations and observations and pointed out that “In our model, errors in the NPF mechanism are compensated by errors in simulated concentrations of gas-phase precursors.” A key conclusion of this study is that the ternary NPF mechanism gives a substantial improvement on the Unified Model’s existing representation of aerosol number concentrations. The authors also argued that their results “suggest ammonia and sulfuric acid are likely important to NPF in Colorado and elsewhere, other species must also make important contributions.” This manuscript deals with important topics regarding NPF and its representation in regional and global models. Overall, it is well-structured and the contents are highly relevant to the scopes of ACP. I have some concerns and suggestions that should be addressed before the manuscript can be recommended for final publication.
- One major concern is the lack of discussion about the uncertainties in the D2016 ternary nucleation parameterization added to UK-UM. As I understand, D2016 is an empirical parameterization of CLOUD measurements and thus is not physics-based. Since the conditions covered by CLOUD measurements are very limited, the extrapolation of D2016 to various atmospheric conditions beyond the CLOUD measurements is expected to lead to large uncertainties. The authors should discuss such uncertainties and how these might affect the conclusions of this study.
- L162-164: “Future efforts should explore approaches that reinforce these parameterizations with theoretical calculations (Maattanen et al., 2018; Yu et al., 2018).” This is related to Comment 1 above. Since the two schemes cited here have been available in the literature for 8 years by now, the authors should include comparisons to these more physics-based nucleation parameterizations in the present study, rather than push it off to the future work. I believe that the manuscripts can be enhanced if the authors make efforts to include simulations (even limited) using these schemes.
- Equ 5 and L184-186: “The effects of organic molecules, ammonia, or relative humidity on this growth rate are potentially important (e.g. Trostl et al., 2016) and would be valuable to include in future simulations.” Since you acknowledge these to be important, I think that you should make effort to include these now as they may affect your conclusions, especially in the summer month in Colorado.
- L157 ion-ion recombination coefficient. What's the value used here? Is it assumed to be constant? The value of ion-ion recombination coefficient depends strongly on cluster sizes which vary with ambient conditions. A constant value may lead to uncertainty in calculated ion concentrations and thus nucleation rates. In addition, do you consider nucleation on ions as a sink for small ions?
- Equ 6 and L193-194 “We applied this correction factor here, as it is most likely better than not doing so, but caution that it remains very uncertain.” Could you provide some kind of uncertainty range estimation? How much could this uncertainty affect your conclusions?
- Title. I think the content of the title is not fully supported by the results presented. First, the Colorado case study is very limited in time and locations. I don’t think that you can extrapolate it to whole Colorado BL in all seasons. Second, because of uncertainties or limitations mentioned in comments above, I don’t think that you can draw such a definitive conclusion.
- L12-13. What about ions? Because of uncertainties, how robust is the "must" conclusion?
- Equations 1-3: It appears that you do not consider nucleation on positive ions? Why?
- L172-173 “Ternary rates are approximately linear in ammonia concentration and ion-induced rates are exactly linear in ion concentration”. It is non-linear based on CLOUD measurements and physics-based model of Yu et al. (2018). This is another reason to make a comparison with these physics-based nucleation schemes (also see comment #2).
- L385-386: Another reason to compare with other nucleation schemes mentioned in Comment #2.
- L450-451. This statement is just a speculation.
- L511-512. This is also a speculation. It would be more convincing that you do additional simulations with organics considered.
Other comments:
- L36-41. Models of ternary nucleation w/o ions, constrained by lab measurements and quantum calculations, have also been developed in the past and should be discussed here as well.
- L42-44. The following two papers are also relevant here: https://doi.org/10.1029/2025JD044021 and https://doi.org/10.1029/2025JD046163.
Citation: https://doi.org/10.5194/egusphere-2026-932-RC2
Data sets
Supporting code and data for Multiscale atmospheric modeling suggests ammonia is necessary but not sufficient to explain new particle formation in the Colorado boundary layer Han Ding and Hamish Gordon https://doi.org/10.5281/zenodo.18664555
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