An empirical method to correct for temperature-dependent variations in the
overlap function of CHM15k ceilometers

Hervo, Maxime; Poltera, Yann; Haefele, Alexander

doi:https://doi.org/10.5194/amt-9-2947-2016

Articles | Volume 9, issue 7

https://doi.org/10.5194/amt-9-2947-2016

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

https://doi.org/10.5194/amt-9-2947-2016

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

Articles | Volume 9, issue 7

Research article

|

12 Jul 2016

Research article |

| 12 Jul 2016

An empirical method to correct for temperature-dependent variations in the overlap function of CHM15k ceilometers

Maxime Hervo, Yann Poltera, and Alexander Haefele

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Final revised paper (published on 12 Jul 2016)
Preprint (discussion started on 18 Feb 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 07 Apr 2016
- AC1: 'Answer to Referee 1', Maxime Hervo, 31 May 2016
RC2: 'Review Comments', Frank Wagner, 03 May 2016
- AC2: 'Answer to Referee 2', Maxime Hervo, 31 May 2016

Short summary

Imperfections in a lidar's overlap function lead to artefacts in the lidar (Light Detection and Ranging) signals. These artefacts can erroneously be interpreted as an aerosol gradient or, in extreme cases, as a cloud base leading to false cloud detection. In this study an algorithm is presented to correct such artefacts. The algorithm is completely automatic and does not require any intervention on site. It is therefore suited for use in large automatic lidar networks.