A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E

Finlon, Joseph A.; McFarquhar, Greg M.; Nesbitt, Stephen W.; Rauber, Robert M.; Morrison, Hugh; Wu, Wei; Zhang, Pengfei

doi:https://doi.org/10.5194/acp-19-3621-2019

Articles | Volume 19, issue 6

https://doi.org/10.5194/acp-19-3621-2019

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

https://doi.org/10.5194/acp-19-3621-2019

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

Articles | Volume 19, issue 6

Research article

|

21 Mar 2019

Research article |

| 21 Mar 2019

A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E

Joseph A. Finlon, Greg M. McFarquhar, Stephen W. Nesbitt, Robert M. Rauber, Hugh Morrison, Wei Wu, and Pengfei Zhang

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Final revised paper (published on 21 Mar 2019)
Supplement to the final revised paper
Preprint (discussion started on 30 Aug 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer 1', Darrel Baumgardner, 28 Sep 2018
RC2: 'manuscript review', Anonymous Referee #2, 12 Nov 2018
AC1: 'Author Response to Reviewer Comments', Joseph A. Finlon, 25 Jan 2019

Peer-review completion

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

AR by Joseph A. Finlon on behalf of the Authors (25 Jan 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jan 2019) by Martina Krämer

RR by Darrel Baumgardner (08 Feb 2019)

ED: Publish as is (25 Feb 2019) by Martina Krämer

AR by Joseph A. Finlon on behalf of the Authors (26 Feb 2019)

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Short summary

A new approach describing the relationship between ice crystal mass (m) and dimension (D) is derived, characterizing it as a set of equally realizable parameters based on the natural variability in cloud conditions observed by aircraft over the Great Plains. Results from this approach address shortcomings of microphysical parameterization schemes and remote sensing retrievals that employ a single m–D relation for a given ice species or environment.