What causes slow earthquakes in subduction zones? New insights from numerical models suggest that a mixture of strong and weak rocks might be the cause.
Modeling
Posted inNews
Tropical Climate Change Is a Puzzle—Could Aerosols Be a Piece?
The eastern tropical Pacific Ocean hasn’t warmed as much as climate change models projected. A new study shows that aerosols in the atmosphere could be responsible.
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
Improving Weather Simulations Through Increased Generality
By adding support for spatially variable velocity fields and anisotropy, the CoSMoS simulation package can more accurately reproduce physical phenomena.
Posted inEditors' Highlights
The Great Unconformities?
New thermochronology data and thermal history modeling from the Canadian Shield show that the Great Unconformity formed there later than elsewhere in North America and may represent another event.
Posted inResearch Spotlights
Simulating 195 Million Years of Global Climate in the Mesozoic
An ensemble of climate simulations identifies factors that drove long-term trends of a prehistoric greenhouse climate.
Posted inEditors' Highlights
Permanence of Nature-Based Climate Solutions at Risk
Conserving native ecosystems helps sequester carbon and mitigate climate change, but new statistical modeling questions the permanence of California’s carbon-rich forests with climate change.
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' Vox
Call for Papers on Machine Learning and Earth System Modeling
Contributions are invited to a new journal special collection on the use of new machine learning methodologies and applications of machine learning to Earth system modeling.