Technical note: Relating functional group measurements to carbon types for improved model–measurement comparisons of organic aerosol composition

Takahama, Satoshi; Ruggeri, Giulia

doi:https://doi.org/10.5194/acp-17-4433-2017

Articles | Volume 17, issue 7

https://doi.org/10.5194/acp-17-4433-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-4433-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 7

Technical note

|

03 Apr 2017

Technical note |

| 03 Apr 2017

Technical note: Relating functional group measurements to carbon types for improved model–measurement comparisons of organic aerosol composition

Satoshi Takahama and Giulia Ruggeri

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Final revised paper (published on 03 Apr 2017)
Supplement to the final revised paper
Preprint (discussion started on 27 Oct 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Functional group analysis', Anonymous Referee #1, 25 Nov 2016
- AC1: 'Response to Reviewer 1', Satoshi Takahama, 21 Feb 2017
RC2: 'review', Anonymous Referee #2, 09 Jan 2017
- AC2: 'Response to Reviewer 2', Satoshi Takahama, 21 Feb 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Satoshi Takahama on behalf of the Authors (21 Feb 2017) Author's response Manuscript

ED: Publish as is (24 Feb 2017) by Maria Cristina Facchini

AR by Satoshi Takahama on behalf of the Authors (27 Feb 2017)

Short summary

We formalize a method for classifying carbon atoms in organic aerosols according to their functionalization. This conceptual approach allows estimation of carbon mass from functional group measurements, which previously required a series of assumptions that were not well constrained. We describe how the proposed strategy can lead to better comparisons among functional group measurements, chemically explicit model simulations, and other measurements.