Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

Takahama, Satoshi; Dillner, Ann M.; Weakley, Andrew T.; Reggente, Matteo; Bürki, Charlotte; Lbadaoui-Darvas, Mária; Debus, Bruno; Kuzmiakova, Adele; Wexler, Anthony S.

doi:https://doi.org/10.5194/amt-12-525-2019

Articles | Volume 12, issue 1

https://doi.org/10.5194/amt-12-525-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-525-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Review article

|

28 Jan 2019

Review article |

| 28 Jan 2019

Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

Satoshi Takahama, Ann M. Dillner, Andrew T. Weakley, Matteo Reggente, Charlotte Bürki, Mária Lbadaoui-Darvas, Bruno Debus, Adele Kuzmiakova, and Anthony S. Wexler

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Final revised paper (published on 28 Jan 2019)
Preprint (discussion started on 23 Jul 2018)

Interactive discussion

Status: closed

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

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RC1: 'Great paper. Perhaps could be split into two papers.', Anonymous Referee #1, 06 Aug 2018
- AC1: 'Response to reviewer comments', Satoshi Takahama, 11 Nov 2018
RC2: 'Important paper, needs work on organization and clarity', Anonymous Referee #3, 29 Aug 2018
- AC1: 'Response to reviewer comments', Satoshi Takahama, 11 Nov 2018

Peer-review completion

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

AR by Satoshi Takahama on behalf of the Authors (11 Nov 2018) Author's response Manuscript

ED: Publish as is (03 Dec 2018) by Justus Notholt

AR by Satoshi Takahama on behalf of the Authors (10 Dec 2018) Manuscript

Short summary

Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative and present an opportunity for cost-effective measurement of PM provided that quantitative calibration models can be built. We review an emerging strategy for building statistical calibration models using collocated measurements, interpreting the physical bases for such models and evaluating the suitability of existing calibration models to new samples.