The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature [data set]

• Main Authors: Ognev, Igor, Ebbing, Jörg, Lösing, Mareen, Nurgaliev, Danis
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2022
• Subjects: Heat flow; Heat generation and transport; Numerical modelling; Inverse theory; Statistical methods; Cratons; Radiogenic heat production; Bayesian inversion; Uralia; Antarc*; Antarctica
• Online Access: https://doi.org/10.5281/zenodo.7009981

This collection contains the dataset and the code which were used to find the thermal parameters’ lateral variations of the Volgo–Uralian subcraton through the Bayesian Markov Chain Monte Carlo (MCMC) statistical approach. The code originally was given in the analogous study of Antarctica's geo...