Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing

Ehrlich, André; Bierwirth, Eike; Istomina, Larysa; Wendisch, Manfred

doi:https://doi.org/10.5194/amt-10-3215-2017

Articles | Volume 10, issue 9

https://doi.org/10.5194/amt-10-3215-2017

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

Special issue:

VERDI – Vertical Distribution of Ice in Arctic Clouds...

https://doi.org/10.5194/amt-10-3215-2017

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

Articles | Volume 10, issue 9

Research article

|

04 Sep 2017

Research article |

| 04 Sep 2017

Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing

André Ehrlich, Eike Bierwirth, Larysa Istomina, and Manfred Wendisch

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Final revised paper (published on 04 Sep 2017)
Preprint (discussion started on 14 Mar 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Positive review of « Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing» by Ehrlich et al.', Anonymous Referee #1, 22 Apr 2017
- AC1: 'Reply on Anonymous Referee #1', André Ehrlich, 30 Jun 2017
RC2: 'Review of "Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne solar remote sensing"', Anonymous Referee #2, 09 May 2017
- AC2: 'Reply on Anonymous Referee #2', André Ehrlich, 30 Jun 2017

Peer-review completion

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

AR by André Ehrlich on behalf of the Authors (30 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (05 Jul 2017) by Patrick Eriksson

RR by Anonymous Referee #2 (29 Jul 2017)

ED: Publish subject to technical corrections (31 Jul 2017) by Patrick Eriksson

Short summary

In the Arctic, uncertainties in passive solar remote sensing of cloud properties arise from uncertainties in the assumed spectral surface albedo, mainly determined by the generally unknown effective snow grain size. Therefore, a retrieval method is presented that simultaneously derives liquid water cloud and snow surface parameters, including cloud optical thickness, droplet effective radius, and effective snow grain size. Airborne measurements were used to test the retrieval procedure.