A new optical fiber interferometry strain sensor tested off the Oregon coast holds promising prospects for seafloor geodesy.
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Posted inResearch Spotlights
The Case of the Missing Lunar Heat Flow Data Is Finally Solved
Decades-old data analyzed for the first time suggest that astronauts’ disturbance of the Moon surface increased solar heat intake, warming the ground below.
Posted inResearch Spotlights
A Near-Real-Time Tool to Characterize Global Landslide Hazards
By fusing susceptibility information with precipitation data, a new model generates “nowcasts” to predict the potential for rainfall-triggered landslides in steep terrain between 50°N and 50°S.
Posted inResearch Spotlights
Harnessing Remote Infrasound to Study Volcanic Eruptions
Data from the 2015 eruption of Chile’s Calbuco volcano suggest the international network built to monitor nuclear explosions may also be used to detect and characterize volcanic activity.
Posted inEditors' Highlights
Getting Littoral with Lake Carbon Efflux
Next generation forced diffusion chambers reveal dynamic environment for lake carbon exchange with distance from shoreline.
Posted inEditors' Highlights
Catching the Oncoming Radiation Storm
Improved processing enables satellite-based radiation sensors to match ground-based sensors in providing prompt warnings of the onset of atmospheric radiation storms that can endanger civil aviation.
Posted inFeatures
Five Weird Archives That Scientists Use to Study Past Climates
When tree rings, ice cores, and cave formations can’t cut it, try your luck with whale earwax or bat poop.
Posted inAGU News
Virtual Mentoring Rewards Scientists at All Career Stages
Five geoscience organizations recently established an online global mentoring service for their disciplines.
Posted inGeoFIZZ
Ten Everyday Objects That Can Be Used for Science
Need a way to store sediment cores or grind up soil? These scientists have your answer.
Posted inEditors' Highlights
A Powerful New Tool to Analyze and Calibrate Earth System Models
Polynomial chaos and Bayesian compressive sensing are applied to a land surface model to understand how large numbers of tunable parameters interact and may be optimized.