A new multicomponent heterogeneous ice nucleation model and its application to Snomax bacterial particles and a Snomax–illite mineral particle mixture

Beydoun, Hassan; Polen, Michael; Sullivan, Ryan C.

doi:https://doi.org/10.5194/acp-17-13545-2017

Articles | Volume 17, issue 22

https://doi.org/10.5194/acp-17-13545-2017

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

https://doi.org/10.5194/acp-17-13545-2017

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

Articles | Volume 17, issue 22

Research article

|

15 Nov 2017

Research article |

| 15 Nov 2017

A new multicomponent heterogeneous ice nucleation model and its application to Snomax bacterial particles and a Snomax–illite mineral particle mixture

Hassan Beydoun, Michael Polen, and Ryan C. Sullivan

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Final revised paper (published on 15 Nov 2017)
Supplement to the final revised paper
Preprint (discussion started on 02 May 2017)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Comments', Anonymous Referee #1, 27 Jun 2017
- AC1: 'Response to Referee 1', Ryan Sullivan, 23 Aug 2017
RC2: 'Review', Anonymous Referee #2, 12 Jul 2017
- AC2: 'Response to Referee 2', Ryan Sullivan, 02 Sep 2017

Peer-review completion

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

AR by Ryan Sullivan on behalf of the Authors (04 Sep 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (07 Sep 2017) by Daniel Knopf

RR by Anonymous Referee #1 (19 Sep 2017)

ED: Reconsider after minor revisions (Editor review) (19 Sep 2017) by Daniel Knopf

AR by Ryan Sullivan on behalf of the Authors (25 Sep 2017) Author's response Manuscript

ED: Publish as is (26 Sep 2017) by Daniel Knopf

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Short summary

A new multicomponent heterogeneous ice nucleation model is tested using Snomax bacterial particles and a mixture of Snomax and illite. The complex freezing behavior of the particle mixture as concentrations are varied can be predicted using the properties of the pure components. When bacterial particles are present their strong freezing properties determine the freezing temperature of the droplet, completely overwhelming any influence from the weaker mineral dust ice nucleants.