Articles | Volume 3, issue 3
https://doi.org/10.5194/amt-3-655-2010
© Author(s) 2010. 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-3-655-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
07 Jun 2010
Ground-based observations for the validation of contrails and cirrus detection in satellite imagery
H. Mannstein
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
A. Brömser
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
UBIMET GmbH, 1200 Wien, Austria
L. Bugliaro
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
23 citations as recorded by crossref.
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- Global aviation contrail climate effects from 2019 to 2021 R. Teoh et al. https://doi.org/10.5194/acp-24-6071-2024
- Benchmarking and improving algorithms for attributing satellite-observed contrails to flights A. Sarna et al. https://doi.org/10.5194/amt-18-3495-2025
- A manually labeled contrail dataset from MSG/SEVIRI V. Santos Gabriel et al. https://doi.org/10.5194/essd-18-2397-2026
- Contrail detection on SEVIRI images and 1-year study of their physical properties and the atmospheric conditions favoring their formation over Europe G. Dekoutsidis et al. https://doi.org/10.1007/s00704-023-04357-9
- Observations of microphysical properties and radiative effects of a contrail cirrus outbreak over the North Atlantic Z. Wang et al. https://doi.org/10.5194/acp-23-1941-2023
- Aviation contrail climate effects in the North Atlantic from 2016 to 2021 R. Teoh et al. https://doi.org/10.5194/acp-22-10919-2022
- A dataset of annotated ground-based images for the development of contrail detection algorithms N. Gourgue et al. https://doi.org/10.1016/j.dib.2025.111364
- An adaptive segmentation approach for contrail detection in meteosat second generation satellite imagery V. Santos Gabriel et al. https://doi.org/10.5194/amt-19-3271-2026
- Calibration of an all-sky camera for obtaining sky radiance at three wavelengths R. Román et al. https://doi.org/10.5194/amt-5-2013-2012
- Design of a celestial vault image capture device for its application in the solar radiation field E. Varo et al. https://doi.org/10.1093/ijlct/ctt066
- Comparing satellite- to ground-based automated and manual cloud coverage observations – a case study A. Werkmeister et al. https://doi.org/10.5194/amt-8-2001-2015
- Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. https://doi.org/10.1002/2017JD027131
- Contrail study with ground-based cameras U. Schumann et al. https://doi.org/10.5194/amt-6-3597-2013
- Formation and radiative forcing of contrail cirrus B. Kärcher https://doi.org/10.1038/s41467-018-04068-0
- Deep Learning-Based Contrail Segmentation in Thermal Infrared Satellite Cloud Images via Frequency-Domain Enhancement S. Shi et al. https://doi.org/10.3390/rs17183145
- Aviation Contrail Cirrus and Radiative Forcing Over Europe During 6 Months of COVID‐19 U. Schumann et al. https://doi.org/10.1029/2021GL092771
- Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations J. Low et al. https://doi.org/10.5194/amt-18-37-2025
- Understanding the role of contrails and contrail cirrus in climate change: a global perspective D. Singh et al. https://doi.org/10.5194/acp-24-9219-2024
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. https://doi.org/10.1016/j.atmosres.2025.108500
- Macroscopic cloud properties in the WRF NWP model: An assessment using sky camera and ceilometer data C. Arbizu‐Barrena et al. https://doi.org/10.1002/2015JD023502
- Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 Z. Engberg et al. https://doi.org/10.5194/gmd-18-253-2025
- GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
23 citations as recorded by crossref.
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- Global aviation contrail climate effects from 2019 to 2021 R. Teoh et al. https://doi.org/10.5194/acp-24-6071-2024
- Benchmarking and improving algorithms for attributing satellite-observed contrails to flights A. Sarna et al. https://doi.org/10.5194/amt-18-3495-2025
- A manually labeled contrail dataset from MSG/SEVIRI V. Santos Gabriel et al. https://doi.org/10.5194/essd-18-2397-2026
- Contrail detection on SEVIRI images and 1-year study of their physical properties and the atmospheric conditions favoring their formation over Europe G. Dekoutsidis et al. https://doi.org/10.1007/s00704-023-04357-9
- Observations of microphysical properties and radiative effects of a contrail cirrus outbreak over the North Atlantic Z. Wang et al. https://doi.org/10.5194/acp-23-1941-2023
- Aviation contrail climate effects in the North Atlantic from 2016 to 2021 R. Teoh et al. https://doi.org/10.5194/acp-22-10919-2022
- A dataset of annotated ground-based images for the development of contrail detection algorithms N. Gourgue et al. https://doi.org/10.1016/j.dib.2025.111364
- An adaptive segmentation approach for contrail detection in meteosat second generation satellite imagery V. Santos Gabriel et al. https://doi.org/10.5194/amt-19-3271-2026
- Calibration of an all-sky camera for obtaining sky radiance at three wavelengths R. Román et al. https://doi.org/10.5194/amt-5-2013-2012
- Design of a celestial vault image capture device for its application in the solar radiation field E. Varo et al. https://doi.org/10.1093/ijlct/ctt066
- Comparing satellite- to ground-based automated and manual cloud coverage observations – a case study A. Werkmeister et al. https://doi.org/10.5194/amt-8-2001-2015
- Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. https://doi.org/10.1002/2017JD027131
- Contrail study with ground-based cameras U. Schumann et al. https://doi.org/10.5194/amt-6-3597-2013
- Formation and radiative forcing of contrail cirrus B. Kärcher https://doi.org/10.1038/s41467-018-04068-0
- Deep Learning-Based Contrail Segmentation in Thermal Infrared Satellite Cloud Images via Frequency-Domain Enhancement S. Shi et al. https://doi.org/10.3390/rs17183145
- Aviation Contrail Cirrus and Radiative Forcing Over Europe During 6 Months of COVID‐19 U. Schumann et al. https://doi.org/10.1029/2021GL092771
- Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations J. Low et al. https://doi.org/10.5194/amt-18-37-2025
- Understanding the role of contrails and contrail cirrus in climate change: a global perspective D. Singh et al. https://doi.org/10.5194/acp-24-9219-2024
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. https://doi.org/10.1016/j.atmosres.2025.108500
- Macroscopic cloud properties in the WRF NWP model: An assessment using sky camera and ceilometer data C. Arbizu‐Barrena et al. https://doi.org/10.1002/2015JD023502
- Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 Z. Engberg et al. https://doi.org/10.5194/gmd-18-253-2025
- GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
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