Atmospheric inverse models, combined with observations, successfully tracked modest CO2 emission reductions in Salt Lake City during the first COVID-19 lockdown in 2020.
Bayesian analyses
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.
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.
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.
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.
Tracing Water from River to Aquifer
A new technique using dissolved noble gas tracers sheds light on how water moves through an aquifer, with implications for water resources and their vulnerability to climate change.
Quantifying Uncertainty About Earth’s Resources
A new book explores how uncertainty quantification can enable optimal decisions in the exploration, appraisal, and development of subsurface resources.
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.
How Vague Historical Writings Help Scientists Predict Floods
By including imprecise historical written records in their calculations, researchers were able to decrease uncertainty in estimations of future flood frequency.
A New Tool to Better Forecast Volcanic Unrest
In a retrospective study of volcanic unrest at Indonesia's Kawah Ijen, a new model was able to pick up on the rising probability of eruption 2 months before authorities were aware of the risk.
