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.
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.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Aug 2016
Research article |
| 09 Aug 2016
A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra
Forschungszentrum Jülich, Institut für Energie und
Klimaforschung, Stratosphäre, IEK-7, Jülich, Germany
Lars Hoffmann
Forschungszentrum Jülich, Jülich Supercomputing Centre, JSC,
Jülich, Germany
Michael Höpfner
Karlsruhe Institut für Technologie, Institut für Meteorologie
und Klimaforschung, Karlsruhe, Germany
Sabine Griessbach
Forschungszentrum Jülich, Jülich Supercomputing Centre, JSC,
Jülich, Germany
Rolf Müller
Forschungszentrum Jülich, Institut für Energie und
Klimaforschung, Stratosphäre, IEK-7, Jülich, Germany
Michael C. Pitts
NASA Langley Research Center, Hampton, VA, USA
Andrew M. W. Orr
British Antarctic Survey, Cambridge, UK
Martin Riese
Forschungszentrum Jülich, Institut für Energie und
Klimaforschung, Stratosphäre, IEK-7, Jülich, Germany
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Cited
18 citations as recorded by crossref.
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- A new method to detect and classify polar stratospheric nitric acid trihydrate clouds derived from radiative transfer simulations and its first application to airborne infrared limb emission observations C. Kalicinsky et al. 10.5194/amt-14-1893-2021
- Observation of cirrus clouds with GLORIA during the WISE campaign: detection methods and cirrus characterization I. Bartolome Garcia et al. 10.5194/amt-14-3153-2021
- Interannual variations of early winter Antarctic polar stratospheric cloud formation and nitric acid observed by CALIOP and MLS A. Lambert et al. 10.5194/acp-16-15219-2016
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- Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds R. Sedona et al. 10.5194/amt-13-3661-2020
- Infrared transmittance spectra of polar stratospheric clouds M. Lecours et al. 10.1016/j.jqsrt.2022.108406
- On the discrepancy of HCl processing in the core of the wintertime polar vortices J. Grooß et al. 10.5194/acp-18-8647-2018
- Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 M. Pitts et al. 10.5194/acp-18-10881-2018
- A decadal satellite record of gravity wave activity in the lower stratosphere to study polar stratospheric cloud formation L. Hoffmann et al. 10.5194/acp-17-2901-2017
- Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index B. Lauster et al. 10.5194/acp-22-15925-2022
- Polar Stratospheric Clouds: Satellite Observations, Processes, and Role in Ozone Depletion I. Tritscher et al. 10.1029/2020RG000702
- A Case Study of a Quasistationary, Very Long Polar Stratospheric Cloud Layer Edge P. VOELGER & P. DALIN 10.2151/jmsj.2021-025
- Polar stratospheric nitric acid depletion surveyed from a decadal dataset of IASI total columns C. Wespes et al. 10.5194/acp-22-10993-2022
- Effects of polar stratospheric clouds in the Nimbus 7 LIMS Version 6 data set E. Remsberg & V. Harvey 10.5194/amt-9-2927-2016
17 citations as recorded by crossref.
- Infrared limb emission measurements of aerosol in the troposphere and stratosphere S. Griessbach et al. 10.5194/amt-9-4399-2016
- Lagrangian simulation of ice particles and resulting dehydration in the polar winter stratosphere I. Tritscher et al. 10.5194/acp-19-543-2019
- A new method to detect and classify polar stratospheric nitric acid trihydrate clouds derived from radiative transfer simulations and its first application to airborne infrared limb emission observations C. Kalicinsky et al. 10.5194/amt-14-1893-2021
- Observation of cirrus clouds with GLORIA during the WISE campaign: detection methods and cirrus characterization I. Bartolome Garcia et al. 10.5194/amt-14-3153-2021
- Interannual variations of early winter Antarctic polar stratospheric cloud formation and nitric acid observed by CALIOP and MLS A. Lambert et al. 10.5194/acp-16-15219-2016
- A climatology of polar stratospheric cloud composition between 2002 and 2012 based on MIPAS/Envisat observations R. Spang et al. 10.5194/acp-18-5089-2018
- Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. 10.5194/acp-21-9515-2021
- Comparison between ACE and CALIPSO observations of Antarctic polar stratospheric clouds L. Lavy et al. 10.1016/j.jqsrt.2023.108827
- Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds R. Sedona et al. 10.5194/amt-13-3661-2020
- Infrared transmittance spectra of polar stratospheric clouds M. Lecours et al. 10.1016/j.jqsrt.2022.108406
- On the discrepancy of HCl processing in the core of the wintertime polar vortices J. Grooß et al. 10.5194/acp-18-8647-2018
- Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 M. Pitts et al. 10.5194/acp-18-10881-2018
- A decadal satellite record of gravity wave activity in the lower stratosphere to study polar stratospheric cloud formation L. Hoffmann et al. 10.5194/acp-17-2901-2017
- Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index B. Lauster et al. 10.5194/acp-22-15925-2022
- Polar Stratospheric Clouds: Satellite Observations, Processes, and Role in Ozone Depletion I. Tritscher et al. 10.1029/2020RG000702
- A Case Study of a Quasistationary, Very Long Polar Stratospheric Cloud Layer Edge P. VOELGER & P. DALIN 10.2151/jmsj.2021-025
- Polar stratospheric nitric acid depletion surveyed from a decadal dataset of IASI total columns C. Wespes et al. 10.5194/acp-22-10993-2022
1 citations as recorded by crossref.
Latest update: 19 Apr 2024
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.
We present a new classification approach for different polar stratospheric cloud types. The...
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