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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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- What is the nature of flow in the mantle?
- Where can radial anisotropy be robustly detected?
- Can we reconcile a broad spectrum of seismic data? What are the benefits?
We use normal-mode splitting functions in addition to surface-wave phase anomalies, body-wave travel times and long-period waveforms to construct a three-dimensional model of anisotropic shear-wave velocity in the Earth's mantle.This is the first tomographic study to exploit the sensitivity of mode-splitting data to constrain radial anisotropy in the Earth's mantle jointly with several other types of data. Visit this link to access data and software from this study.
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