M.Sc. Armin Corbin

Scientific staff member

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© Corbin

Biography

MSc. Armin Corbin studied Geodesy and Geoinformation at the University of Bonn. Before joining the Astronomical, Physical and Mathematical Geodesy Group in 2019, he spent six months at the Onsala Space Observatory in Sweden. His research aims to improve the simulation of the neutral density of the upper atmosphere, which is crucial for accurate satellite orbit determination, re-entry prediction and satellite lifetime prediction.


  • M.Sc. (Thesis title: VLBI Scheduling with an Approach from Combinatorial Optimization), University of Bonn, Bonn, Germany, 2017.
  • B.Sc. (Thesis title: Automatisierte Analyse von VLBI-Intensive-Sessions), University of Bonn, Bonn, Germany, 2016.
  • Since 2019 Wissenschaftliche Mitarbeiter am Institut für Geodäsie und Geoinformation, Universität Bonn.
  • 2018 – 2019 Project Assistant am Onsla Space Observatory, Chalmers University of Technology.
  • 2016 – 2018 Master of Science am Institut für Geodäsie und Geoinformation, Universität Bonn.
  • 2013 – 2016 Bachelor of Science am Institut für Geodäsie und Geoinformation, Universität Bonn.
  • Thermospherische Dichtemodelle.
  • Datenassimilation.
  • Geodätisches VLBI.
  • DFG SPP1788 - TIPOD
  • Übung MGE-05 Geodetic Earth Observation

  • Vertreter der Wissenschaftlichen MitarbeiterInnen in der Studienkommission.
  • Vice Chair of the joint study group 'Thermosphere modelling improvements and applications' within the GGOS Focus Area 'Geodetic Space Weather Research'.

  • Turbo-Preis des DVW NRW e.V.

  1. Corbin, A., Kusche, J. (2022). Improving the estimation of thermospheric neutral density via two-step assimilation of in situ neutral density into a numerical model. Earth Planets Space 74, 183. https://doi.org/10.1186/s40623-022-01733-z.

  2. Zeitler, L., Corbin, A., Vielberg, K., Rudenko, S., Löcher, A., Blossfeld, M., Schmidt, M., Kusche, J. (2021). Scale Factors of the Thermospheric Density: A Comparison of Satellite Laser Ranging and Accelerometer Solutions. Journal of Geophysical research-Space Physics, 126(12),Number: e2021JA029708, doi.org/10.1029/2021JA029708.

  3. Corbin, A., Niedermann, B., Nothnagel, A. et al. (2020). Combinatorial optimization applied to VLBI scheduling. J Geod 94, 19. doi.org/10.1007/s00190-020-01348-w.

  4. Corbin, A., Haas, R. (2019). Scheduling of twin telescopes and the impact on troposphere and UT1 estimation. In: Haas R, Garcia-Espada S, Lopez Fernandez JA (eds) Proceedings of the 24th European VLBI group for geodesy and astrometry working meeting. Centro Nacional de Información Geográfica (CNIG), pp 194–198.

  5. Corbin, A., Halsig, S., Iddink, A., Jaron, F., Nothnagel, A. (2017). Automated Ambiguity Resolution With Clustering and Analysis of Intensive Sessions Within ivg::ASCOT, Haas R., Elgered G. (editors), Proceedings of the 23rd European VLBI Group for Geodesy and Astrometry Working Meeting, Gothenburg, Sweden, May 14-16.

  6. Halsig, S., Corbin, A., Iddink, A., Jaron, F., Schubert, T., Nothnagel, A. (2017). Current Development Progress in ivg::ASCOT. A new VLBI Analysis Software, Haas R., Elgered G. (editors), Proceedings of the 23rd European VLBI Group for Geodesy and Astrometry Working Meeting, Gothenburg, Sweden, May 14-16.

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Armin Corbin

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