Low-frequency infragravity waves shape shorelines, but exactly how they contribute is mysterious. A technique from Bayesian probability theory might change that.
Bayesian analyses
Posted inNews
Scientists Mapped a Hidden Glacier Using Gravity
Rock glaciers like Timpanogos in Utah are a jumble of ice and stone. A new method could finally show just how much water these glaciers hold.
Posted inEditors' Highlights
Reading Fault Stress from the Rhythm of Earthquakes
T-rate, a new Bayesian tool that reconstructs changing fault stress from earthquake rates, reveals a late stress increase before the 2008 Reno–Mogul magnitude 5.1 earthquake.
Posted inEditors' Vox
How Can We Make Better Decisions About What Lies Underground?
Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and shows which uncertainties matter for real-world decisions.
Posted inEditors' Highlights
Taming the Seismicity Tsunami with a Scalable Bayesian Framework
By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.
Posted inResearch Spotlights
Extreme Heat in U.S. Cities Revealed at High Resolution
Data from personal weather stations power a novel way to detect urban heat islands.
Posted inEditors' Vox
Harmonizing Theory and Data with Land Data Assimilation
Land data assimilation advances scientific understanding and serves as an engineering tool for land surface process studies, reflecting the trend of harmonizing theory and data in the big data era.
Posted inEditors' Highlights
Using Bayesian Estimation to Improve Methane Inventories
A Bayesian, optimal estimation evaluation of state-of-the-art methane inventory with satellite-based emissions from 2009 to 2018 finds substantial differences for livestock, rice, and coal emissions.
Posted inResearch Spotlights
Visualizing the Deep Insides of Planets and Moons
A novel method uses gravity data to determine where density anomalies lie inside planetary bodies.
Posted inEditors' Highlights
Using Bayesian Inference to Improve Sediment-Transport Models
A new Bayesian approach is used for the estimation and uncertainty quantification of unobservable parameters required to model tracer evolution in ocean sediment transport and tracer concentrations.