An algorithm to retrieve ice water content profiles in cirrus clouds from the synergy of ground-based lidar and thermal infrared radiometer measurements

Hemmer, Friederike; C.-Labonnote, Laurent; Parol, Frédéric; Brogniez, Gérard; Damiri, Bahaiddin; Podvin, Thierry

doi:https://doi.org/10.5194/amt-12-1545-2019

Articles | Volume 12, issue 3

https://doi.org/10.5194/amt-12-1545-2019

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

https://doi.org/10.5194/amt-12-1545-2019

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

Articles | Volume 12, issue 3

Research article

|

12 Mar 2019

Research article |

| 12 Mar 2019

An algorithm to retrieve ice water content profiles in cirrus clouds from the synergy of ground-based lidar and thermal infrared radiometer measurements

Friederike Hemmer, Laurent C.-Labonnote, Frédéric Parol, Gérard Brogniez, Bahaiddin Damiri, and Thierry Podvin

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Final revised paper (published on 12 Mar 2019)
Preprint (discussion started on 11 Oct 2018)

Interactive discussion

Status: closed

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

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RC1: 'Minor revisions are required.', Anonymous Referee #1, 07 Nov 2018
- AC1: 'Reply to reviewer #1', Friederike Hemmer, 01 Feb 2019
RC2: 'Review of An algorithm to retrieve ice water content profiles in cirrus clouds from the synergy of ground-based lidar and thermal infrared radiometer measurements Friederike Hemmer, Laurent C.-Labonnote, Frédéric Parol, Gérard Brogniez, Bahaiddin Damir', Anonymous Referee #2, 04 Jan 2019
- AC2: 'Reply to reviewer #2', Friederike Hemmer, 01 Feb 2019

Peer-review completion

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

AR by Friederike Hemmer on behalf of the Authors (01 Feb 2019) Author's response Manuscript

ED: Publish as is (12 Feb 2019) by Alexander Kokhanovsky

AR by Friederike Hemmer on behalf of the Authors (20 Feb 2019)

Short summary

The paper presents a novel method to retrieve microphysical properties of cirrus clouds from the synergy of lidar and thermal infrared radiometer measurements. It highlights the advantages of combining two independent data sets resulting in a better characterization of the observed target. Our algorithm may help to improve the description of the backscattering features of the ice crystals composing the cloud and thereby improve our understanding of their interactions with atmospheric radiation.