Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6869-2025
https://doi.org/10.5194/amt-18-6869-2025
Research article
 | 
21 Nov 2025
Research article |  | 21 Nov 2025

The MATS satellite: limb image data processing and calibration

Linda Megner, Jörg Gumbel, Ole Martin Christensen, Björn Linder, Donal P. Murtagh, Nickolay Ivchenko, Lukas Krasauskas, Jonas Hedin, Joachim Dillner, Gabriel Giono, Georgi Olentsenko, Louis Kern, Joakim Möller, Ida-Sofia Skyman, and Jacek Stegman

Viewed

Total article views: 4,312 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,378 786 148 4,312 182 211
  • HTML: 3,378
  • PDF: 786
  • XML: 148
  • Total: 4,312
  • BibTeX: 182
  • EndNote: 211
Views and downloads (calculated since 12 Mar 2025)
Cumulative views and downloads (calculated since 12 Mar 2025)

Viewed (geographical distribution)

Total article views: 4,312 (including HTML, PDF, and XML) Thereof 4,291 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 05 May 2026
Download
Short summary
The MATS satellite mission studies atmospheric gravity waves, crucial for momentum transport between atmospheric layers. Launched in November 2022, MATS uses a limb-viewing telescope to capture high-resolution images of noctilucent clouds and airglow, visualising wave patterns in the high atmosphere. This paper accompanies the public release of the Level 1b dataset, i.e. calibrated limb images. Later products will provide global maps of gravity wave properties, airglow, and noctilucent clouds.
Share