Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-2947-2016
https://doi.org/10.5194/amt-9-2947-2016
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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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.