Cirrus cloud shape detection by tomographic extinction retrievals from infrared limb emission sounder measurements

Ungermann, Jörn; Bartolome, Irene; Griessbach, Sabine; Spang, Reinhold; Rolf, Christian; Krämer, Martina; Höpfner, Michael; Riese, Martin

doi:https://doi.org/10.5194/amt-13-7025-2020

Articles | Volume 13, issue 12

https://doi.org/10.5194/amt-13-7025-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

New developments in atmospheric limb measurements: instruments,...

https://doi.org/10.5194/amt-13-7025-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 12

Research article

|

21 Dec 2020

Research article |

| 21 Dec 2020

Cirrus cloud shape detection by tomographic extinction retrievals from infrared limb emission sounder measurements

Jörn Ungermann, Irene Bartolome, Sabine Griessbach, Reinhold Spang, Christian Rolf, Martina Krämer, Michael Höpfner, and Martin Riese

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Final revised paper (published on 21 Dec 2020)
Preprint (discussion started on 13 Jul 2020)

Interactive discussion

Status: closed

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

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RC1: 'Review', Anonymous Referee #1, 04 Aug 2020
- AC1: 'Author Reply', Joern Ungermann, 16 Oct 2020
RC2: 'review', Anonymous Referee #2, 10 Sep 2020
- AC1: 'Author Reply', Joern Ungermann, 16 Oct 2020

Peer-review completion

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

AR by Katja Gänger on behalf of the Authors (17 Oct 2020) Author's response

ED: Publish as is (29 Oct 2020) by Chris McLinden

Short summary

This study examines the potential of new IR limb imager instruments and tomographic methods for cloud detection purposes. Simple color-ratio-based methods are examined and compared against more involved nonlinear convex optimization. In a second part, 3-D measurements of the airborne limb sounder GLORIA taken during the Wave-driven ISentropic Exchange campaign are used to exemplarily derive the location and extent of small-scale cirrus clouds with high spatial accuracy.