Reliable 1D magnetotelluric probabilistic inversion considering modelling assumption violations
2019
A comprehensive understanding of the sources of uncertainty is essential in stochastic inversion workflows of magnetotelluric data. Input uncertainty related to the electromagnetic noise and measur...
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