CC BY 4.0 UnportedBinietoglou, IoannisD’Amico, GiuseppeBaars, HolgerBelegante, LivioMarinou, EleniNicolae, D.Makoto, A.Vassilis, A.Balis, D.Behrendt, A.Comeron, A.Gibert, F.Landulfo, E.McCormick, M.P.Senff, C.Veselovskii, I.Wandinger, U.2023-04-272023-04-272018https://oa.tib.eu/renate/handle/123456789/12109http://dx.doi.org/10.34657/11143Most lidar processing algorithms, such as those included in EARLINET's Single Calculus Chain, can be applied only to cloud-free atmospheric scenes. In this paper, we present a methodology for masking clouds in uncalibrated lidar signals. First, we construct a reference dataset based on manual inspection and then train a classifier to separate clouds and cloud-free regions. Here we present details of this approach together with an example cloud masks from an EARLINET station.https://creativecommons.org/licenses/by/4.0530BookPartKonferenzschrift