Articles | Volume 6, issue 12
https://doi.org/10.5194/amt-6-3597-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-3597-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Contrail study with ground-based cameras
U. Schumann
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
R. Hempel
Deutsches Zentrum für Luft- und Raumfahrt, Simulations- und Softwaretechnik, Cologne, Germany
H. Flentje
Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeissenberg, Hohenpeissenberg, Germany
M. Garhammer
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
K. Graf
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
S. Kox
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
H. Lösslein
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
B. Mayer
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
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Cited
11 citations as recorded by crossref.
- Ground-based cloud classification by learning stable local binary patterns Y. Wang et al. 10.1016/j.atmosres.2018.02.023
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield 10.1175/AMSMONOGRAPHS-D-16-0005.1
- Long-lived contrails and convective cirrus above the tropical tropopause U. Schumann et al. 10.5194/acp-17-2311-2017
- ELIFAN, an algorithm for the estimation of cloud cover from sky imagers M. Lothon et al. 10.5194/amt-12-5519-2019
- Ice crystal characterization in cirrus clouds II: radiometric characterization of HaloCam for the quantitative analysis of halo displays L. Forster et al. 10.5194/amt-13-3977-2020
- Ground-based image analysis: A tutorial on machine-learning techniques and applications S. Dev et al. 10.1109/MGRS.2015.2510448
- High-dynamic-range imaging for cloud segmentation S. Dev et al. 10.5194/amt-11-2041-2018
- Dehydration effects from contrails in a coupled contrail–climate model U. Schumann et al. 10.5194/acp-15-11179-2015
- Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions Y. Wang et al. 10.1109/LGRS.2017.2698501
- Properties of individual contrails: a compilation of observations and some comparisons U. Schumann et al. 10.5194/acp-17-403-2017
- Air traffic and contrail changes over Europe during COVID-19: a model study U. Schumann et al. 10.5194/acp-21-7429-2021
11 citations as recorded by crossref.
- Ground-based cloud classification by learning stable local binary patterns Y. Wang et al. 10.1016/j.atmosres.2018.02.023
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield 10.1175/AMSMONOGRAPHS-D-16-0005.1
- Long-lived contrails and convective cirrus above the tropical tropopause U. Schumann et al. 10.5194/acp-17-2311-2017
- ELIFAN, an algorithm for the estimation of cloud cover from sky imagers M. Lothon et al. 10.5194/amt-12-5519-2019
- Ice crystal characterization in cirrus clouds II: radiometric characterization of HaloCam for the quantitative analysis of halo displays L. Forster et al. 10.5194/amt-13-3977-2020
- Ground-based image analysis: A tutorial on machine-learning techniques and applications S. Dev et al. 10.1109/MGRS.2015.2510448
- High-dynamic-range imaging for cloud segmentation S. Dev et al. 10.5194/amt-11-2041-2018
- Dehydration effects from contrails in a coupled contrail–climate model U. Schumann et al. 10.5194/acp-15-11179-2015
- Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions Y. Wang et al. 10.1109/LGRS.2017.2698501
- Properties of individual contrails: a compilation of observations and some comparisons U. Schumann et al. 10.5194/acp-17-403-2017
- Air traffic and contrail changes over Europe during COVID-19: a model study U. Schumann et al. 10.5194/acp-21-7429-2021
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Latest update: 22 Sep 2023