Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and shows which uncertainties matter for real-world decisions.
Bayesian analyses
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.
Posted inEditors' Highlights
Tracking Human CO2 Emissions from Medium-Sized Cities
Atmospheric inverse models, combined with observations, successfully tracked modest CO2 emission reductions in Salt Lake City during the first COVID-19 lockdown in 2020.
Posted inEditors' Highlights
Bayesian Inversion Used to Recover Geometry of Ruptured Fault
A new Bayesian inversion framework is used to solve non-planar geometry of a ruptured fault from spatially variable slip and rake measured with geodesy.
Posted inResearch Spotlights
Innovative Model Elucidates Geothermal Energy Resource
Data from deep wells and a Bayesian modeling framework shed new light on one of Iceland’s valuable geothermal reservoirs.