SOURCE-LINKED INTELLIGENCE

DECiphering the seismic signature Of aseismic DEformation

CORDIS · observation · Publication date unknown

smic interplay are incomplete LFE catalogs, caused by the difficulty to detect these events. Therefore, in this project I will develop a novel detection method for LFEs building on recent advances in deep learning. Applying this method, I will compile comprehensive catalogs for three regions: Northern Chile, Nankai (Japan) and Nicoya (Costa Rica). These catalogs, in conjunction with continuous geodetic records, SSE catalogs and seismicity catalogs, will allow me to study the seismic-aseismic interplay. This will reveal physical driving mechanisms of the seismic-aseismic interplay and give insights into the preparation of large earthquakes. This will contribute towards the accurate assessment of seismic hazard and the preparedness for seismic events. I will conduct this project at the Université Grenoble Alpes, with a secondment at the Massachusetts Institute of Technology. My scientific background in interdisciplinary research between deep learning and seismology, is complemented by my supervisiors: Anne Socquet, expert on aseismic processes and subduction zones; and William Frank,

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recordType

award

status

SIGNED

region

EU

value

195914.88

unit

EUR