EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Autocorrelation of the ground vibration recorded by the SEIS-InSight seismometer on Mars for imaging and monitoring applications

Nicolas Compaire1, Ludovic Margerin2, Raphaël F. Garcia1,2, Marie Calvet2, Baptiste Pinot1, Guénolé Orhand-Mainsant1, Doyeon Kim8, Vedran Lekic8, Benoit Tauzin10,11, Martin Schimmel9, Eléonore Stutzmann3, Brigitte Knapmeyer-Endrun4, Philippe Lognonné3, William T. Pike5, Nicholas Schmerr8, Laurent Gizon7, and Bruce Banerdt6
Nicolas Compaire et al.
  • 1Université Fédérale de Toulouse Midi-Pyrénées, ISAE-Supaero, DEOS (Département Electronique, Optronique et Signal), Toulouse, France (
  • 2Institut de Recherche en Astrophysique et Planétologie, Université Toulouse III Paul Sabatier, CNRS, CNES, 14 Av. E. Belin, 31400, Toulouse, France.
  • 3Université de Paris, Institut de physique du globe de Paris, CNRS, F-75005 Paris, France.
  • 4Bensberg Observatory, University of Cologne, Vinzenz-Pallotti-Str. 26, 51429 Bergisch Gladbach, Germany.
  • 5Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom.
  • 6Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA.
  • 7Max Planck Institute for Solar System Research, Justus-von-Liebig-Weg 3, 37077 Göttingen, Germany.
  • 8University of Maryland, College Park, Department of Geology, 8000 Regents Dr., College Park, MD, 20742, USA.
  • 9Institute of Earth Sciences Jaume Almera – CSIC, Barcelona, Spain.
  • 10Université de Lyon, Université Claude Bernard Lyon 1, ENS, CNRS, Laboratoire de Géologie de Lyon : Terre, Planètes, Environnement, 69622 Villeurbanne, France.
  • 11Research School of Earth Sciences, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.

Since early February 2019, the SEIS seismometer deployed at the surface of Mars in the framework of the NASA-InSight mission has been continuously recording the ground motion at Elysium Planitia. In this work, we take advantage of this exceptional dataset to put constraints on the crustal properties of Mars using seismic interferometry (SI). This method use the seismic waves, either from background vibrations of the planet or from quakes, that are scattered in the medium in order to recover the ground response between two seismic sensors. Applying the principles of SI to the single-station configuration of SEIS, we compute, for each Sol (martian day) and each local hour, all the components of the time-domain autocorrelation tensor of random ambient vibrations in various frequency bands. A similar computation is performed on the diffuse waveforms generated by more than a hundred Marsquakes. For imaging application a careful signal-to-noise ratio analysis and an inter-comparison between the two datasets are applied. These analyses suggest that the reconstructed ground responses are most reliable in a relatively narrow frequency band around 2.4Hz, where an amplification of both ambient vibrations and seismic events is observed. The average Auto-Correlation Functions (ACFs) from both ambient vibrations and seismic events contain well identifiable seismic arrivals, that are very consistent between the two datasets. We interpret the vertical and horizontal ACFs as the ground reflection response below InSight for the compressional waves and the shear waves respectively. We propose a simple stratified velocity model of the crust, which is most compatible with the arrival times of the detected phases, as well as with previous seismological studies of the SEIS record. The hourly computation of the ACFs over one martian year also allows us to study the diurnal and seasonal variations of the reconstructed ground response with a technique call Passive Image Interferometry (PII). In this study we present measurements of the relative stretching coefficient between consecutive ACF waveforms and discuss the potential origins of the observed temporal variations.

How to cite: Compaire, N., Margerin, L., Garcia, R. F., Calvet, M., Pinot, B., Orhand-Mainsant, G., Kim, D., Lekic, V., Tauzin, B., Schimmel, M., Stutzmann, E., Knapmeyer-Endrun, B., Lognonné, P., Pike, W. T., Schmerr, N., Gizon, L., and Banerdt, B.: Autocorrelation of the ground vibration recorded by the SEIS-InSight seismometer on Mars for imaging and monitoring applications, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12292,, 2021.


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