The TEAR team successfully augmented earthquake modeling with observational data and methodological innovations, gained fundamental insight into earthquake physics, and strengthened physics-based modeling for earthquake response and rapid scientific analysis.
Major achievements included the development and advancement of novel open-source earthquake simulation research software (
https://www.tear-erc.eu/software-and-data/(s’ouvre dans une nouvelle fenêtre)) enabling the modeling of co-seismic, aseismic, and seismic cycling on naturally complex faults validated by observations. The team formulated novel mathematical and computational frameworks for deforming visco-elasto-plastic materials and explored the impact of geometric and structural fault zone complexity on how faults slip.
Applications include unprecedented physics-based and data-constrained models of real events including the 2004 Sumatra megathrust earthquake and tsunami; 2004 Parkfield, CA, earthquake, 2011 Tohoku-Oki, Japan, earthquake; 2014 Mw 7.3 Guerrero, Mexico earthquake; 2016, Norcia and Amatrice, Italy, earthquakes; 2017 Pohang, South Korea, induced earthquake; 2018 Palu, Sulawesi Earthquake and Tsunami; 2018 induced earthquakes in Helsinki, Finland; 2019 Ridgecrest, CA, rupture sequence; 2021 Maduo, Tibet, earthquake; 2023 Kahramanmaraş, Turkey, earthquake doublet; and the 2024 Noto Peninsula, Japan, earthquake and tsunami, as well as slow slip events in the Guerrero Gap, Mexico and in the Hikurangi, New Zealand subduction zone. We also developed dynamic rupture scenarios of paleo- and future earthquakes for complex and hazardous fault systems in diverse tectonic settings, including the Mau’ii detachment fault in Papua New Guinea, Húsavík-Flatey strike-slip Fault Zone in North Iceland, the Hellenic Arc subduction zone in the Mediterranean and the Cascadia megathrust in the US. TEAR also advanced the fundamental understanding of the earthquake energy budget, cascading multi-fault ruptures, and seismic-tsunami hazards.
TEAR’s commitment to open science is reflected in its 58 open datasets adhering to FAIR principles, ensuring reusability and accessibility for the broader scientific community. These resources were accompanied by hands-on training workshops, tutorials, and benchmark exercises.