Microwave signatures of ice hydrometeors from ground-based observations  above Summit, Greenland

Pettersen, Claire; Bennartz, Ralf; Kulie, Mark S.; Merrelli, Aronne J.; Shupe, Matthew D.; Turner, David D.

doi:https://doi.org/10.5194/acp-16-4743-2016

Articles | Volume 16, issue 7

https://doi.org/10.5194/acp-16-4743-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-4743-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 7

Research article

|

15 Apr 2016

Research article |

| 15 Apr 2016

Microwave signatures of ice hydrometeors from ground-based observations above Summit, Greenland

Claire Pettersen, Ralf Bennartz, Mark S. Kulie, Aronne J. Merrelli, Matthew D. Shupe, and David D. Turner

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Final revised paper (published on 15 Apr 2016)
Preprint (discussion started on 08 Dec 2015)

Interactive discussion

Status: closed

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

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RC C10973: 'Comment on discussion version', Anonymous Referee #2, 30 Dec 2015
- AC C13132: 'Responses to Reviewer #2', Claire Pettersen, 13 Mar 2016
RC C11144: 'Comments to manuscript acpd-2015-661', Anonymous Referee #1, 05 Jan 2016
- AC C13131: 'Responses to Reviewer #1', Claire Pettersen, 13 Mar 2016

Peer-review completion

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

AR by Claire Pettersen on behalf of the Authors (13 Mar 2016) Author's response Manuscript

ED: Publish subject to technical corrections (31 Mar 2016) by Jui-Yuan Christine Chiu

AR by Claire Pettersen on behalf of the Authors (31 Mar 2016) Manuscript

Short summary

We examined four summers of data from a ground-based atmospheric science instrument suite at Summit Station, Greenland, to isolate the signature of the ice precipitation. By using a combination of instruments with different specialities, we identified a passive microwave signature of the ice precipitation. This ice signature compares well to models using synthetic data characteristic of the site.