The algorithm RevPET automatically reverses the complex multi-phase fractional crystallization path of oceanic basalts and offers new perspectives for advancing mantle thermobarometry.
Journal of Geophysical Research: Solid Earth
Posted inEditors' Highlights
Coupled Mechanisms of Fluid Transport Across the Crust
Magmatic fluid moves up in the ductile zone through porosity waves, accumulates in high-porosity lenses, and migrates across the brittle zone in a convection pattern involving also meteoric fluid.
Posted inEditors' Highlights
New Inversion Method Improves Earthquake Source Imaging
A new method uses Bayesian inference to jointly invert for non-planar fault geometry and spatially variable slip (with associated uncertainties) in earthquake source modeling, based on geodetic data.
Posted inResearch Spotlights
La primera mirada de la meteorización a escala angstrom
Investigadores observan cómo el vapor de agua y el líquido alteran las rocas sedimentarias a través de procesos físicos y químicos.
Posted inResearch Spotlights
Volcanic Tremor and Deformation at Kīlauea
Two new studies investigate activity at Hawaii’s Kīlauea leading up to and following the 2018 eruption to better understand the volcano’s plumbing and behavior.
Posted inEditors' Vox
Understanding and Anticipating Induced Seismicity
A new special collection in JGR: Solid Earth and Earth and Space Science seeks papers from across disciplines that provide insights into induced seismicity at different spatial and temporal scales.
Posted inResearch Spotlights
Crustal Motion and Strain Rates in the Southern Basin and Range Province
New research teases out variations in strain rates and explores potential earthquake hazards across the southern Basin and Range and Colorado Plateau.
Posted inResearch Spotlights
A New Method Produces Improved Surface Strain Rate Maps
The transdimensional Bayesian approach handles GPS data limitations better than existing methods and may assist future seismic hazard assessment studies.
Posted inEditors' Highlights
Reconstructing Rocks with Machine Learning
Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.
Posted inEditors' Highlights
Previous Intra-oceanic Subduction Found Beneath South America?
Newly mapped fast velocity slabs in the lower mantle may be remnants of westward dipping intra-oceanic subduction, before flipping to the present eastward subduction beneath South America at 85 Ma.