Fingerprints of a riming event on cloud radar Doppler spectra: observations  and modeling

Kalesse, Heike; Szyrmer, Wanda; Kneifel, Stefan; Kollias, Pavlos; Luke, Edward

doi:https://doi.org/10.5194/acp-16-2997-2016

Articles | Volume 16, issue 5

https://doi.org/10.5194/acp-16-2997-2016

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

https://doi.org/10.5194/acp-16-2997-2016

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

Articles | Volume 16, issue 5

Research article

|

09 Mar 2016

Research article |

| 09 Mar 2016

Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling

Heike Kalesse, Wanda Szyrmer, Stefan Kneifel, Pavlos Kollias, and Edward Luke

Download

Final revised paper (published on 09 Mar 2016)
Preprint (discussion started on 22 Oct 2015)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC C9757: 'Review - "Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling"', Anonymous Referee #1, 25 Nov 2015
- AC C11335: 'Reply to reviewer #1', Heike Kalesse, 11 Jan 2016
RC C12319: 'Referee report', Anonymous Referee #2, 11 Feb 2016

Peer-review completion

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

AR by Heike Kalesse-Los on behalf of the Authors (11 Feb 2016) Author's response Manuscript

ED: Publish subject to technical corrections (16 Feb 2016) by Tuukka Petäjä

AR by Heike Kalesse-Los on behalf of the Authors (22 Feb 2016) Manuscript

Short summary

Mixed-phase clouds are ubiquitous. Process-level understanding is needed to address the complexity of mixed-phase clouds and to improve their representation in models. This study illustrates steps to identify the impact of a microphysical process (riming) on cloud Doppler radar observations. It suggests that in situ observations of key ice properties are needed to complement radar observations before process-oriented studies can effectively evaluate ice microphysical parameterizations in models.