Tracing ash layers from explosive eruptions back to their source volcanoes is needed to evaluate hazards to population and aviation, a problem addressed by a new machine learning classification method.
Paul Asimow
Editor of Geochemistry, Geophysics, Geosystems
Posted inEditors' Highlights
Piecing Together the Roots of the Ancient Australian Continent
Mineral compositions from numerous volcanic rocks that sample the mantle keel beneath Western Australia’s Kimberley Craton reveal the temperature and mineralogy that explain its long-lived stability.
Posted inEditors' Highlights
Send in the Drones: Safely Monitoring Volcanic Gas Emissions
New drone technology was combined with satellite and ground-based data to improve volcanic gas flux monitoring at the remote Bagana Volcano in Papua New Guinea.
Posted inEditors' Highlights
Machine Learning Looks Anew at Isotope Ratios in Oceanic Basalts
While past attempts to define isotopic endmembers and assign them a geodynamic significance ended in controversy, a machine-learning clustering algorithm offers a solution to this classical problem.
Posted inEditors' Highlights
Why Do Arc Volcanoes Deform Less Than Ocean Island Volcanoes?
Volcanic ground deformation is not simply correlated with erupted volume. Researchers propose that high concentrations of magmatic volatiles make systems more compressible and suppress deformation.
Posted inEditors' Highlights
A New, Fast Computational Tool for Magmatic Phase Equilibria
Thermodynamic calculations in multiphase, multicomponent magmatic systems can be slow and buggy. A new parallel architecture solves the free energy minimization problem much faster than alternatives.
Posted inEditors' Vox
Dynamics of Volcanic Processes
A new cross-journal special collection invites contributions on modern approaches used to investigate dynamics of volcanic processes.
Posted inEditors' Highlights
Machine Learning Helps See into a Volcano’s Depths
How big might future volcanic eruptions be? Crystals carry information to answer this and machine learning methods can visualize and interpret this multidimensional data.