Ice crystal characterization in cirrus clouds II: radiometric characterization of HaloCam for the quantitative analysis of halo displays

Forster, Linda; Seefeldner, Meinhard; Baumgartner, Andreas; Kölling, Tobias; Mayer, Bernhard

doi:https://doi.org/10.5194/amt-13-3977-2020

Articles | Volume 13, issue 7

https://doi.org/10.5194/amt-13-3977-2020

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

https://doi.org/10.5194/amt-13-3977-2020

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

Articles | Volume 13, issue 7

Research article

|

23 Jul 2020

Research article |

| 23 Jul 2020

Ice crystal characterization in cirrus clouds II: radiometric characterization of HaloCam for the quantitative analysis of halo displays

Linda Forster, Meinhard Seefeldner, Andreas Baumgartner, Tobias Kölling, and Bernhard Mayer

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Final revised paper (published on 23 Jul 2020)
Preprint (discussion started on 07 Feb 2020)

Interactive discussion

Status: closed

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

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RC1: 'Review Forster et al.', Anonymous Referee #1, 22 Mar 2020
- AC1: 'Reply to review #1', Linda Forster, 20 May 2020
RC2: 'Review Forster et al.', Anonymous Referee #2, 22 Apr 2020
- AC2: 'Reply to review #2', Linda Forster, 20 May 2020

Peer-review completion

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

AR by Linda Forster on behalf of the Authors (03 Jun 2020) Author's response Manuscript

ED: Publish as is (12 Jun 2020) by Andrew Sayer

AR by Linda Forster on behalf of the Authors (15 Jun 2020) Manuscript

Short summary

We present a procedure for both the geometric and absolute radiometric characterization of the weather-proof RGB camera HaloCam_RAW, which is part of our automated halo observation system HaloCam, designed for the quantitative analysis of halo displays. By comparing the calibrated HaloCam_RAW radiances of a 22° halo scene with radiative transfer simulations, we demonstrate the potential of developing a retrieval method for ice crystal properties, such as size, shape, and surface roughness.