Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-3153-2021
https://doi.org/10.5194/amt-14-3153-2021
Research article
 | 
29 Apr 2021
Research article |  | 29 Apr 2021

Observation of cirrus clouds with GLORIA during the WISE campaign: detection methods and cirrus characterization

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

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Cited articles

Baran, A. J.: The dependence of cirrus infrared radiative properties on ice crystal geometry and shape of the size-distribution function, Q. J. Roy. Meteorol. Soc., 131, 1129–1142, https://doi.org/10.1256/qj.04.91, 2005. a
Blank, J.: Tomographic retrieval of atmospheric trace gases observed by GLORIA, PhD thesis, Bergische Universität Wuppertal, Germany, available at: https://juser.fz-juelich.de/record/150342 (last access: 25 March 2021), 2013. a
Curtis, A. R.: Discussion of “A statistical model for water vapour absorption” by R. M. Goody, Q. J. Roy. Meteorol. Soc., 78, 638–640, 1952. a
Davis, S., Hlavka, D., Jensen, E., Rosenlof, K., Yang, Q. O., Schmidt, S., Borrmann, S., Frey, W., Lawson, P., Voemel, H., and Bui, T. P.: In situ and lidar observations of tropopause subvisible cirrus clouds during TC4, J. Geophys. Res., 115, D00J17, https://doi.org/10.1029/2009JD013093, 2010. a
Dessler, A. E.: Clouds and water vapor in the Northern Hemisphere summertime stratosphere, J. Geophys. Res., 114, D00H09, https://doi.org/10.1029/2009JD012075, 2009. a
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Short summary
Cirrus clouds contribute to the general radiation budget of the Earth. Measuring optically thin clouds is challenging but the IR limb sounder GLORIA possesses the necessary technical characteristics to make it possible. This study analyses data from the WISE campaign obtained with GLORIA. We developed a cloud detection method and derived characteristics of the observed cirrus-like cloud top, cloud bottom or position with respect to the tropopause.