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Overarching modeling framework outlining steps (blue boxes) for creating the final ATLAS3D suite from a small set of Earth models using the Machine Learning (ML) concepts specified underneath.
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A scenario of the ATLAS3D model suite at 100 km created with VP variations from ME16 (Moulik and Ekström, 2016) as baseline structure & USSL for short-wavelength variations. At scales 3, 2, & 1, amplitudes are tuned to have the same spectral falloff as the median of USSL, DNA13, & PTHBUS.
Advancing Earth & Planetary Sciences using Seismology
We develop & disseminate resources from planetary-scale seismological research in collaboration with scientists worldwide.
Seismology is our primary tool for understanding various phenomenon that shape the Earth's deep interior. It also helps characterize natural hazards such as earthquakes and landslides that emanate vibrations in the solid Earth. The method of seismic tomography uses waves generated by earthquakes to image the Earth’s interior in a manner similar to CT scanning of the human body. Routine calculations for earthquake magnitudes and early warning systems also need Earth models. This portal contains data, documentation, software and models that are used for various applications in the geosciences and beyond.
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- How fast do surface waves travel globally after any earthquake?
- Do we get the same information from various measurement techniques?
- Which features in the Earth are robust and can be resolved by a reference model?
Checkout out results from the publication written in collaboration with 18 scientists from 16 institutions in 7 countries who actively participated in the REM3D project (among others). The project assimilated, archived, reconciled and modeled big (>200 million measurements) and diverse surface-wave datasets for global subsurface structure. Visit this link to access reference data and other resources from this study.
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