MSS/1: Single‐Station and Single‐Event Marsquake Inversion
Abstract 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...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2020-12-01
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| Series: | Earth and Space Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2020EA001118 |
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English |
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Article |
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DOAJ |
| author |
Mélanie Drilleau Éric Beucler Philippe Lognonné Mark P. Panning Brigitte Knapmeyer‐Endrun W. Bruce Banerdt Caroline Beghein Savas Ceylan Martin vanDriel Rakshit Joshi Taichi Kawamura Amir Khan Sabrina Menina Attilio Rivoldini Henri Samuel Simon Stähler Haotian Xu Mickaël Bonnin John Clinton Domenico Giardini Balthasar Kenda Vedran Lekic Antoine Mocquet Naomi Murdoch Martin Schimmel Suzanne E. Smrekar Éléonore Stutzmann Benoit Tauzin Saikiran Tharimena |
| spellingShingle |
Mélanie Drilleau Éric Beucler Philippe Lognonné Mark P. Panning Brigitte Knapmeyer‐Endrun W. Bruce Banerdt Caroline Beghein Savas Ceylan Martin vanDriel Rakshit Joshi Taichi Kawamura Amir Khan Sabrina Menina Attilio Rivoldini Henri Samuel Simon Stähler Haotian Xu Mickaël Bonnin John Clinton Domenico Giardini Balthasar Kenda Vedran Lekic Antoine Mocquet Naomi Murdoch Martin Schimmel Suzanne E. Smrekar Éléonore Stutzmann Benoit Tauzin Saikiran Tharimena MSS/1: Single‐Station and Single‐Event Marsquake Inversion Earth and Space Science InSight inversion seismology |
| author_facet |
Mélanie Drilleau Éric Beucler Philippe Lognonné Mark P. Panning Brigitte Knapmeyer‐Endrun W. Bruce Banerdt Caroline Beghein Savas Ceylan Martin vanDriel Rakshit Joshi Taichi Kawamura Amir Khan Sabrina Menina Attilio Rivoldini Henri Samuel Simon Stähler Haotian Xu Mickaël Bonnin John Clinton Domenico Giardini Balthasar Kenda Vedran Lekic Antoine Mocquet Naomi Murdoch Martin Schimmel Suzanne E. Smrekar Éléonore Stutzmann Benoit Tauzin Saikiran Tharimena |
| author_sort |
Mélanie Drilleau |
| title |
MSS/1: Single‐Station and Single‐Event Marsquake Inversion |
| title_short |
MSS/1: Single‐Station and Single‐Event Marsquake Inversion |
| title_full |
MSS/1: Single‐Station and Single‐Event Marsquake Inversion |
| title_fullStr |
MSS/1: Single‐Station and Single‐Event Marsquake Inversion |
| title_full_unstemmed |
MSS/1: Single‐Station and Single‐Event Marsquake Inversion |
| title_sort |
mss/1: single‐station and single‐event marsquake inversion |
| publisher |
American Geophysical Union (AGU) |
| series |
Earth and Space Science |
| issn |
2333-5084 |
| publishDate |
2020-12-01 |
| description |
Abstract 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. |
| topic |
InSight inversion seismology |
| url |
https://doi.org/10.1029/2020EA001118 |
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doaj-44c55f60f73149c3be76f9a1f5b97d802021-03-01T10:38:57ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842020-12-01712n/an/a10.1029/2020EA001118MSS/1: Single‐Station and Single‐Event Marsquake InversionMélanie Drilleau0Éric Beucler1Philippe Lognonné2Mark P. Panning3Brigitte Knapmeyer‐Endrun4W. Bruce Banerdt5Caroline Beghein6Savas Ceylan7Martin vanDriel8Rakshit Joshi9Taichi Kawamura10Amir Khan11Sabrina Menina12Attilio Rivoldini13Henri Samuel14Simon Stähler15Haotian Xu16Mickaël Bonnin17John Clinton18Domenico Giardini19Balthasar Kenda20Vedran Lekic21Antoine Mocquet22Naomi Murdoch23Martin Schimmel24Suzanne E. Smrekar25Éléonore Stutzmann26Benoit Tauzin27Saikiran Tharimena28Institut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceLaboratoire de Planétologie et de Géodynamique Université de Nantes, Université d'Angers Nantes FranceInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceJet Propulsion Laboratory California Institute of Technology Pasadena CA USABensberg Observatory University of Cologne Cologne GermanyJet Propulsion Laboratory California Institute of Technology Pasadena CA USADepartment of Earth, Planetary, and Space Sciences University of California Los Angeles CA USAInstitute for Geophysics ETH Zürich Zürich SwitzerlandInstitute for Geophysics ETH Zürich Zürich SwitzerlandMax Planck Institute for Solar System Research Göttingen GermanyInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceInstitute for Geophysics ETH Zürich Zürich SwitzerlandInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceRoyal Observatory Belgium Brussels BelgiumInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceInstitute for Geophysics ETH Zürich Zürich SwitzerlandDepartment of Earth, Planetary, and Space Sciences University of California Los Angeles CA USALaboratoire de Planétologie et de Géodynamique Université de Nantes, Université d'Angers Nantes FranceInstitute for Geophysics ETH Zürich Zürich SwitzerlandInstitute for Geophysics ETH Zürich Zürich SwitzerlandInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceDepartment of Geology University of Maryland College Park MD USALaboratoire de Planétologie et de Géodynamique Université de Nantes, Université d'Angers Nantes FranceISAE‐SUPAERO, Toulouse University Toulouse FranceICTJA‐CSIC Barcelona SpainJet Propulsion Laboratory California Institute of Technology Pasadena CA USAInstitut de Physique du Globe de Paris, Sorbonne Paris Cité, CNRS F‐7500511 Université Paris Diderot Paris FranceLaboratoire de Sciences de la Terre, Universit de Lyon I, CNRS and Ecole Normale Suprieure de Lyon, UMR5570 Villeurbanne FranceJet Propulsion Laboratory California Institute of Technology Pasadena CA USAAbstract 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.https://doi.org/10.1029/2020EA001118InSightinversionseismology |