Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3619-2016
https://doi.org/10.5194/amt-9-3619-2016
Research article
 | 
09 Aug 2016
Research article |  | 09 Aug 2016

A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra

Reinhold Spang, Lars Hoffmann, Michael Höpfner, Sabine Griessbach, Rolf Müller, Michael C. Pitts, Andrew M. W. Orr, and Martin Riese

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Latest update: 13 Apr 2024
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Short summary
We present a new classification approach for different polar stratospheric cloud types. The so-called Bayesian classifier estimates the most likely probability that one of the three PSC types (ice, NAT, or STS) dominates the characteristics of a measured infrared spectrum. The entire measurement period of the satellite instrument MIPAS from July 2002 to April 2013 is processed using the new classifier.