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Marine Denolle's Profile Picture

Marine Denolle
Assistant Professor
Email: [javascript protected email address]
Interests: Seismology and Tectonics
Research Groups: Seismology and Tectonics

2014, PhD in geophysics - Stanford University (USA)
2008, Master en géophysique - Ecole Normale Superieure, Paris (France)
2006, License en géophysique - Ecole Normale Superieure, Paris (France)
Graduate Students:
  • Yiyu Ni ( @ ESS): Cloud seismology, machine learning, data mining in the Pacific Northwest, earthquake early warning

  • Tim Clements ( @ Harvard University): environmental seismology, monitoring groundwater and soil moisture using noise correlation functions; native cloud computing for seismology, computational seismology

  • Jiuxun Yin ( @ Harvard University): observation and simulation of subduction-zone earthquakes, teleseismic backprojection, earthquake energy budget

  • Seth Olinger ( @ Harvard University): cryoseismology - detection of ice-related seismic events, ice shelf rifting

  • Congcong Yuan ( @ Harvard University): machine learning in seismology, wavefield simulations, theoretical ambient noise seismology, ambient noise monitoring

  • Current Research:
    Ground Motion Prediction: Long period strong ground motion in urban sedimentary basins. Surface waves observation and theory. Non-linear ground motions, near surface shaking damage and healing.

    Earthquake Source Physics: Imaging of spatial and temporal variation of earthquake rupture parameters, in particular of shallow surface-rupturing events. Earthquake energy budget, body- and surface-wave radiated energy, stress drop, radiation efficiency, fracture energy. Focus on surface ruptures. Earthquake co-seismic damage.

    Environmental Seismology: monitoring of subsurface hydrology using ambient seismic field, impacts of extreme events (droughts, wet climatic events).

    High-performance Seismology: Numerical tools to deal with TB-PB size data sets for ambient noise monitoring and imaging. Open-source software in Python and Julia. HPC and cloud computing. Machine learning for seismology.

    Recent Publications:
    A full publication list here
    Some representative work:

    Tracking groundwater levels using the ambient seismic field (2020) T Clements, MA Denolle, Geophysical Research Letters 45 (13), 6459-6465

    Earthquakes within earthquakes: Patterns in rupture complexity (2019) P Danré, J Yin, BP Lipovsky, MA Denolle, Geophysical Research Letters 46 (13), 7352-7360

    New perspectives on self‐similarity for shallow thrust earthquakes (2016), MA Denolle, PM Shearer, Journal of Geophysical Research: Solid Earth 121 (9), 6533-6565

    Strong ground motion prediction using virtual earthquakes (2014), MA Denolle, EM Dunham, GA Prieto, GC Beroza, Science 343 (6169), 399-403