Curie depth estimates from airborne magnetic data reveal anomalously high geothermal heat flow beneath the Transantarctic Mountains and Wilkes Subglacial Basin.
A Python package for computing Curie depth from magnetic anomaly data using Bayesian inference to probe the thermal structure of the Earth's crust.
The temperature distribution in the crust, and associated uncertainty, was simulated from the ensemble of Curie depth realisations assigned to a lower thermal boundary condition of …
Probabilistic methods for constraining lithospheric thermal structure by jointly inverting geothermal, magnetic, and seismic data using Bayesian inference.
Temperature models for assessing geothermal potential are usually concerned with the upper 5 km of the crust. The configuration of deeper crustal lithologies, and the …
Surface heat flux is highly sensitive to small temperature fluctuations at varying timescales. The magnitude of these variations depend on the duration of climatic fluctuations and …
Magnetic data is one of the most common geophysics datasets available on the surface of the Earth. At long wavelengths it pertains information on the depth at which rocks lose …