M
Mark Simons
Researcher at California Institute of Technology
Publications - 186
Citations - 13882
Mark Simons is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Interferometric synthetic aperture radar & Slip (materials science). The author has an hindex of 63, co-authored 176 publications receiving 11943 citations. Previous affiliations of Mark Simons include Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
An elastic plate model for interseismic deformation in subduction zones
Ravi V. S. Kanda,Mark Simons +1 more
TL;DR: In this paper, the elastic subducting plate model (ESPM) was proposed to simulate plate subduction over the interseismic period, which has only 2 more degrees of freedom than the well-established back slip model.
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Anomalously steep dips of earthquakes in the 2011 Tohoku-Oki source region and possible explanations
Zhongwen Zhan,Donald V. Helmberger,Mark Simons,Hiroo Kanamori,Wenbo Wu,Nadaya Cubas,Zacharie Duputel,Risheng Chu,Victor C. Tsai,Jean Philippe Avouac,Kenneth W. Hudnut,Sidao Ni,Eric A. Hetland,Francisco H.Ortega Culaciati +13 more
TL;DR: In this paper, the authors conduct a detailed analysis of foreshocks and aftershocks (M_w 5.5-7.5) sampling this megathrust zone for possible clues regarding differences in seismic excitation, and find that events occurring in the region that experienced large slip during the 2011 M_w 9.1 event had steeper dip angles (by 5-10°) than the surrounding plate interface.
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Depth varying rupture properties during the 2015 Mw 7.8 Gorkha (Nepal) earthquake
Han Yue,Mark Simons,Zacharie Duputel,Junle Jiang,Eric J. Fielding,Cunren Liang,Susan Owen,Angelyn Moore,Bryan Riel,Jean-Paul Ampuero,Sergey Samsonov +10 more
TL;DR: In this paper, a regularized multi-time-window (MTW) approach and an unsmoothed Bayesian formulation were used to model the Mw 7.8 Gorkha (Nepal) earthquake.
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The Chilean GNSS Network: Current Status and Progress toward Early Warning Applications
Juan Carlos Baez,Felipe Leyton,C. Troncoso,F. del Campo,Michael Bevis,Christophe Vigny,Marcos Moreno,Mark Simons,Eric Kendrick,H. Parra,F. Blume +10 more
TL;DR: In this article, the authors present the status of the GNSS network, its data streams, and the real-time analysis system used to support realtime modeling of earthquakes, which is essential to enabling early warning of earthquakes and tsunamis in Chile.
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Detecting transient signals in geodetic time series using sparse estimation techniques
TL;DR: A new method for automatically detecting transient deformation signals from geodetic time series using a least squares procedure and a spatial weighting scheme that self‐adjusts to the local network density and filters for spatially coherent signals.