EM Lab graduate student Dan Blatter led a new paper on joint Bayesian inversion for marine magnetotelluric (MT) and controlled-source EM (CSEM) data to image submarine groundwater aquifers. The MT data is preferentially sensitive to the conductive parts of the model while the CSEM data is more sensitive of the more resistive low salinity aquifer. Joint inversion of the data yields the best resolution, as demonstrated with Bayesian uncertainty analysis.
Geophysical Journal International, Volume 218, Issue 3, September 2019, Pages 1822–1837, https://doi.org/10.1093/gji/ggz253
The paper is available for free here: https://academic.oup.com/gji/article/218/3/1822/5510458
