Coupled Geophysical Data for Solid Earth Applications

Geophysical data are acquired continuously using fleets of sensors such as seismometers, strainmeters, hydrophones, and geophones that record both fast and slow ground motions at and below the Earth's surface, including slow and fast earthquakes, landslide slips, and glacier instabilities. Large research infrastructures, such as neutron or X-ray sources, also produce massive datasets that measure transformations in rocks, including fluid flow, mineral reactions, and deformations that can lead to catastrophic rock failure in laboratory experiments. These field and laboratory data are critical for monitoring both natural geohazards and human activities in fields like renewable energy (geothermal, hydropower), geological storage (carbon dioxide, hydrogen), and environmental monitoring, particularly in the context of climate change. As the quantity of data increases, there is a timely need for novel real-time analysis methods based on computationally efficient solutions, including artificial intelligence. Research proposals may include the development of methodologies to automatically process field or laboratory geophysical data, revealing dynamic natural processes, as well as creating applications in the fields of geohazards, geo-energy, and environmental sciences.