Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2397-2026
https://doi.org/10.5194/essd-18-2397-2026
Data description article
 | 
01 Apr 2026
Data description article |  | 01 Apr 2026

A manually labeled contrail dataset from MSG/SEVIRI

Vanessa Santos Gabriel, Luca Bugliaro, Mara Montag, Sabrina Ries, Ziming Wang, Kai Widmaier, Matteo Arico, Simon Unterstrasser, Johanna Mayer, Deniz Menekay, Andreas Marsing, Elena de la Torre Castro, Liam Megill, Monika Scheibe, and Christiane Voigt

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Cited articles

Atlas, D., Wang, Z., and Duda, D. P.: Contrails to cirrus – Morphology, microphysics, and radiative properties, J. Appl Meteorol. Clim., 45, 5–19, 2006. a
Bedka, S. T., Minnis, P., Duda, D. P., Chee, T. L., and Palikonda, R.: Properties of linear contrails in the Northern Hemisphere derived from 2006 Aqua MODIS observations, Geophys. Res. Lett., 40, 772–777, 2013. a
Burkhardt, U., Bock, L., and Bier, A.: Mitigating the contrail cirrus climate impact by reducing aircraft soot number emissions, npj Climate and Atmospheric Science, 1, 37, https://doi.org/10.1038/s41612-018-0046-4, 2018. a
Chevallier, R., Shapiro, M., Engberg, Z., Soler, M., and Delahaye, D.: Linear contrails detection, tracking and matching with aircraft using geostationary satellite and air traffic data, Aerospace, 10, 578, https://doi.org/10.3390/aerospace10070578, 2023. a, b
Dekoutsidis, G., Feidas, H., and Bugliaro, L.: Contrail detection on SEVIRI images and 1-year study of their physical properties and the atmospheric conditions favoring their formation over Europe, Theor. Appl. Climatol., 151, 1931–1948, 2023. a
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Short summary
We provide observations of the geostationary Meteosat satellite with contrails labeled by three people complemented with detailed cloud information. Contrails influence climate but are hard to identify in satellite imagery. With this study, we support contrail detection development and evaluation, stress the subjectivity of human labeling and reveal which meteorological conditions highlight or hide contrails. This dataset contributes to a better understanding of aviation’s climate impact.
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