State-of-art numerical simulations illustrate how a small-scale shear instability can become a giant earthquake in a manner that is consistent with seismological observation.
Journal of Geophysical Research: Solid Earth
Posted inEditors' Highlights
What’s Hot in Iceland? A Close Up View of Hotspot-Ridge Interaction
New seafloor magnetic data help scientists retrace the evolution of the Reykjanes Ridge, lending insights into the effects of a mantle plume on mid-ocean ridge organization and evolution.
Posted inEditors' Highlights
A Strong Pacific Plate Bends Under the Hawaiian Volcanic Chain
Two seismic studies reveal the volcanic loads and resulting flexure of the Pacific plate at the Hawaiian Ridge and, surprisingly, show no magmatic underplating.
Posted inEditors' Vox
Introducing the new Editor-in-Chief of JGR: Solid Earth
Learn about the person taking the helm of JGR: Solid Earth and his vision for the coming years.
Posted inEditors' Vox
Reflecting on 4 Years at the helm of JGR: Solid Earth
The outgoing Editor-in-Chief of JGR: Solid Earth reflects on their tenure and expresses appreciation to all those who contributed to the success of the journal over recent years.
Posted inEditors' Highlights
Deep Learning Facilitates Earthquake Early Warning
A deep learning model trained with real-time satellite data significantly reduces the time to predict the ground motion of big earthquakes.
Posted inResearch Spotlights
Seafloor Shapes on the Flanks of Mid-Ocean Ridges Linked to Magma Supply
New research suggests the source of morphologic variation on mid-ocean ridges might be deeper than scientists thought.
Posted inResearch Spotlights
Subducted Seamounts May Lead to Larger Earthquakes
New findings show that underwater mountains may increase friction along subduction zones, building up stress and making larger ruptures more likely.
Posted inEditors' Vox
Announcing New AGU Journal Editors-in-Chief Starting in 2024
AGU is excited to welcome new Editors-in-Chief for seven of our journals in 2024, including the founding Editor of JGR: Machine Learning and Computation.