EGU26-18949, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18949
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 04 May, 10:45–12:30 (CEST), Display time Monday, 04 May, 08:30–12:30
 
Hall X4, X4.69
Advancing Inter-Satellite Radio Occultation with MaCro on the M-MATISSE Mission
Tom Andert1, Martin Pätzold2, Tobias Vorderobermeier1, Matthias Hahn2, Silvia Tellmann2, Janusz Oschlisniok2, Kerstin Peter2, and Benjamin Haser1
Tom Andert et al.
  • 1Institute of Space Technology and Space Applications, Bundeswehr University Munich, Germany
  • 2Rheinisches Institut fuer Umweltforschung (RIU), Department of Planetary Research, Cologne, Germany

Radio occultation (RO) techniques provide valuable remote-sensing insights into planetary ionospheres and atmospheres by measuring the bending of radio signals as they traverse atmospheric layers. Mutual radio occultations between the Trace Gas Orbiter (TGO) and Mars Express (MEX) demonstrated the feasibility of this approach but were limited by hardware not designed for radio science occultation measurements—most notably, the absence of ultra-stable oscillators, single-frequency operation, and restricted timing precision.

The Mars Magnetosphere ATmosphere Ionosphere and Space-weather SciencE (M-MATISSE) mission—currently in its Phase A study by the European Space Agency (ESA)—is a Medium-class (M7) candidate that will overcome these constraints through the dedicated MaCro (Mars Crosslink Radio Occultation) instrument: a dual-frequency, precision-timed, ultra-stable radio system purpose-built for inter-satellite occultations. MaCro’s design enables high-accuracy profiling of the Martian ionosphere and atmosphere across diverse geometries and solar conditions.

This study systematically investigates how the known limitations of TGO–MEX influenced the retrieved electron density profiles and explores how modern machine-learning techniques—for example regression-based drift correction—can enhance the data-processing pipeline. The outcomes of this work will support the development of MaCro’s data processing chain and contribute to the improvement of its performance.

How to cite: Andert, T., Pätzold, M., Vorderobermeier, T., Hahn, M., Tellmann, S., Oschlisniok, J., Peter, K., and Haser, B.: Advancing Inter-Satellite Radio Occultation with MaCro on the M-MATISSE Mission, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18949, https://doi.org/10.5194/egusphere-egu26-18949, 2026.