Articles | Volume 9, issue 8
Atmos. Meas. Tech., 9, 3619–3639, 2016
https://doi.org/10.5194/amt-9-3619-2016

Special issue: Atmospheric remote sensing using limb observations

Atmos. Meas. Tech., 9, 3619–3639, 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 et al.

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Latest update: 17 Jan 2022
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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.