Big data in Earth science: Emerging practice and promise
TC Vance, T Huang, KA Butler - Science, 2024 - science.org
Improvements in the number and resolution of Earth-and satellite-based sensors coupled
with finer-resolution models have resulted in an explosion in the volume of Earth science …
with finer-resolution models have resulted in an explosion in the volume of Earth science …
When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …
Applications of deep neural networks in exploration seismology: A technical survey
Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …
controlled (active) source into the ground, and recorded by an array of seismic sensors …
A detailed view of the 2020–2023 Southwestern Puerto Rico seismic sequence with deep learning
CE Yoon, ES Cochran… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …
Machine learning for seismic exploration: Where are we and how far are we from the holy grail?
Machine-learning (ML) applications in seismic exploration are growing faster than
applications in other industry fields, mainly due to the large amount of acquired data for the …
applications in other industry fields, mainly due to the large amount of acquired data for the …
Using deep learning for rapid earthquake parameter estimation in single-station single-component earthquake early warning system
Earthquake early warning systems (EEWSs) often rely on fast determination of earthquake
source parameters, namely, location, magnitude, and depth. In areas where the seismic …
source parameters, namely, location, magnitude, and depth. In areas where the seismic …
On the use of high‐resolution and deep‐learning seismic catalogs for short‐term earthquake forecasts: Potential benefits and current limitations
Enhanced earthquake catalogs provide detailed images of evolving seismic sequences.
Currently, these data sets take some time to be released but will soon become available in …
Currently, these data sets take some time to be released but will soon become available in …
A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence
The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple
damaging earthquakes spaced over months, presented serious challenges for the duty …
damaging earthquakes spaced over months, presented serious challenges for the duty …
Characterization and evolution of seismic sequences in the normal fault environment of the Southern Apennines
The use of seismic catalogs enhanced through advanced detection techniques improves the
understanding of earthquake processes by illuminating the geometry and mechanics of fault …
understanding of earthquake processes by illuminating the geometry and mechanics of fault …
Detection of hidden earthquakes after the 2011 Tohoku earthquake by automatic hypocenter determination combined with machine learning
K Tamaribuchi, S Kudo, K Shimojo, F Hirose - Earth, Planets and Space, 2023 - Springer
Abstract After the 2011 M w 9.0 Tohoku earthquake, seismicity became extremely active
throughout Japan. Despite enormous efforts to detect the large number of earthquakes …
throughout Japan. Despite enormous efforts to detect the large number of earthquakes …