A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations

Toth, Travis D.; Zhang, Jianglong; Reid, Jeffrey S.; Vaughan, Mark A.

doi:https://doi.org/10.5194/amt-12-1739-2019

Articles | Volume 12, issue 3

https://doi.org/10.5194/amt-12-1739-2019

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

https://doi.org/10.5194/amt-12-1739-2019

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

Articles | Volume 12, issue 3

Research article

|

18 Mar 2019

Research article |

| 18 Mar 2019

A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations

Travis D. Toth, Jianglong Zhang, Jeffrey S. Reid, and Mark A. Vaughan

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Final revised paper (published on 18 Mar 2019)
Preprint (discussion started on 16 Oct 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Toth et al CALIOP PM paper', Anonymous Referee #1, 24 Oct 2018
- AC1: 'Response to Reviewer #1', Travis D. Toth, 25 Feb 2019
RC2: 'Review_report_Toth_et_al.2018', Anonymous Referee #2, 03 Nov 2018
- AC2: 'Response to Anonymous Reviewer #2', Travis D. Toth, 26 Feb 2019

Peer-review completion

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

AR by Travis D. Toth on behalf of the Authors (26 Feb 2019) Author's response Manuscript

ED: Publish as is (26 Feb 2019) by Vassilis Amiridis

AR by Travis D. Toth on behalf of the Authors (26 Feb 2019)

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Short summary

An innovative method is presented for deriving particulate matter (PM) concentrations using CALIOP measurements. Deviating from conventional approaches of relying on passive satellite column-integrated aerosol measurements, PM concentrations are derived from near-surface CALIOP measurements through a bulk-mass-modeling method. This proof-of-concept study shows that, while limited in spatial and temporal coverage, CALIOP exhibits reasonable skill for PM applications.