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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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- Is there a chemically distinct reservoir in the Earth?
- Do superplumes overly denser-than-average material?
- Can we detect these anomalies with seismic data?
This study presents the strongest evidence to date (ca. 2015) of large-scale thermo-chemical heterogeneities in the lowermost mantle using the full spectrum of seismic data. Our preferred joint model consists of denser-than-average anomalies (∼1% peak-to-peak) at the base of the mantle roughly coincident with the low-velocity superplumes. Visit this link to access data and software from this study.
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