Articles | Volume 22, issue 12
© Author(s) 2022. This work is distributed underthe Creative Commons Attribution 4.0 License.
Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ
- Final revised paper (published on 20 Jun 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 07 Jan 2022)
- Supplement to the preprint
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor |
: Report abuse
- RC1: 'Comment on acp-2021-946', Anonymous Referee #1, 02 Feb 2022
- RC2: 'Comment on acp-2021-946', Anonymous Referee #2, 01 Mar 2022
- AC1: 'Comment on acp-2021-946', Katherine Travis, 13 Apr 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Katherine Travis on behalf of the Authors (13 Apr 2022)  Author's response Author's tracked changes Manuscript
ED: Referee Nomination & Report Request started (18 Apr 2022) by Chul Han Song
RR by Anonymous Referee #1 (02 May 2022)
RR by Anonymous Referee #2 (16 May 2022)
ED: Publish subject to minor revisions (review by editor) (17 May 2022) by Chul Han Song
AR by Katherine Travis on behalf of the Authors (23 May 2022)  Author's response Author's tracked changes
ED: Publish as is (27 May 2022) by Chul Han Song
Review to acp-2021-946: “Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ” By Travis et al.
This paper presented a detailed model study of the aerosol composition in Korean during the NASA KORUS-AQ aircraft campaign. The study tried to improve the model simulated PM2.5 and use it to quantify the contribution from long range transport and local emission to the observed PM composition. The topic is relevant to ACP and study is well designed and presented. I suggest ACP publish it with some clarification and improvement.
Summarized by: Ravishankara, Science, Heterogeneous and Multiphase Chemistry in the Troposphere, 1997.
Initial work: Chameides & Davis, The free radical chemistry of cloud droplets and its impact upon the composition of rain, JGR, https://doi.org/10.1029/JC087iC07p04863, 1982,
Application in the CTM: P. Kasibhatla,W. L. Chameides,J. St. John, A three-dimensional global model investigation of seasonal variations in the atmospheric burden of anthropogenic sulfate aerosols, https://doi.org/10.1029/96JD03084, 1997
As you have shown, even just for the inorganic aerosol components, there are many parameters you can adjust to move some aspect of the model simulation closer to observations. Overall, the model sulfate+nitrate+ammonium show reasonable agreement with observations. If your purpose is to significantly improve the nitrate and sulfate simulation, more evaluations are required, including other region and time.
Other: Figure 12, ‘from aircraft below 1km for the same domain as Fig. 3.’ Figure 3 didn’t show domain info about the aircraft.