TY - JOUR
T1 - MSS/1
T2 - Single-Station and Single-Event Marsquake Inversion
AU - Drilleau, Mélanie
AU - Beucler, Éric
AU - Lognonné, Philippe
AU - Panning, Mark P.
AU - Knapmeyer-Endrun, Brigitte
AU - Banerdt, W. Bruce
AU - Beghein, Caroline
AU - Ceylan, Savas
AU - van Driel, Martin
AU - Joshi, Rakshit
AU - Kawamura, Taichi
AU - Khan, Amir
AU - Menina, Sabrina
AU - Rivoldini, Attilio
AU - Samuel, Henri
AU - Stähler, Simon
AU - Xu, Haotian
AU - Bonnin, Mickaël
AU - Clinton, John
AU - Giardini, Domenico
AU - Kenda, Balthasar
AU - Lekic, Vedran
AU - Mocquet, Antoine
AU - Murdoch, Naomi
AU - Schimmel, Martin
AU - Smrekar, Suzanne E.
AU - Stutzmann, Éléonore
AU - Tauzin, Benoit
AU - Tharimena, Saikiran
N1 - Publisher Copyright:
©2020 The Authors.
PY - 2020/12
Y1 - 2020/12
N2 - SEIS, the seismometer of the InSight mission, which landed on Mars on 26 November 2018, is monitoring the seismic activity of the planet. The goal of the Mars Structure Service (MSS) is to provide, as a mission product, the first average 1-D velocity model of Mars from the recorded InSight data. Prior to the mission, methodologies have been developed and tested to allow the location of the seismic events and estimation of the radial structure, using surface waves and body waves arrival times, and receiver functions. The paper describes these validation tests and compares the performance of the different algorithms to constrain the velocity model below the InSight station and estimate the 1-D average model over the great circle path between source and receiver. These tests were performed in the frame of a blind test, during which synthetic data were inverted. In order to propagate the data uncertainties on the output model distribution, Bayesian inversion techniques are mainly used. The limitations and strengths of the methods are assessed. The results show the potential of the MSS approach to retrieve the structure of the crust and underlying mantle. However, at this time, large quakes with clear surface waves have not yet been recorded by SEIS, which makes the estimation of the 1-D average seismic velocity model challenging. Additional locatable events, especially at large epicentral distances, and development of new techniques to fully investigate the data, will ultimately provide more constraints on the crust and mantle of Mars.
AB - SEIS, the seismometer of the InSight mission, which landed on Mars on 26 November 2018, is monitoring the seismic activity of the planet. The goal of the Mars Structure Service (MSS) is to provide, as a mission product, the first average 1-D velocity model of Mars from the recorded InSight data. Prior to the mission, methodologies have been developed and tested to allow the location of the seismic events and estimation of the radial structure, using surface waves and body waves arrival times, and receiver functions. The paper describes these validation tests and compares the performance of the different algorithms to constrain the velocity model below the InSight station and estimate the 1-D average model over the great circle path between source and receiver. These tests were performed in the frame of a blind test, during which synthetic data were inverted. In order to propagate the data uncertainties on the output model distribution, Bayesian inversion techniques are mainly used. The limitations and strengths of the methods are assessed. The results show the potential of the MSS approach to retrieve the structure of the crust and underlying mantle. However, at this time, large quakes with clear surface waves have not yet been recorded by SEIS, which makes the estimation of the 1-D average seismic velocity model challenging. Additional locatable events, especially at large epicentral distances, and development of new techniques to fully investigate the data, will ultimately provide more constraints on the crust and mantle of Mars.
KW - InSight
KW - inversion
KW - seismology
UR - http://www.scopus.com/inward/record.url?scp=85098003217&partnerID=8YFLogxK
U2 - 10.1029/2020EA001118
DO - 10.1029/2020EA001118
M3 - Article
SN - 2333-5084
VL - 7
JO - Earth and Space Science
JF - Earth and Space Science
IS - 12
M1 - e2020EA001118
ER -