Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 9, issue 8
Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3619-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-9-3619-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 8
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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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.
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Special issue
Atmospheric remote sensing using limb observations