Acknowledgments We are indebted to F. Darbyshire and J. von Hunen for useful comments on earlier versions of this work. This manuscript benefited from thorough and constructive reviews by W. Levandowski and an anonymous reviewer. We also thank J. Connolly, M. Sambridge, B. Kennett, S. Lebedev, B. Shan, U. Faul, and M. Qashqai for insightful discussions about, and contributions to, some of the concepts presented in this paper. The work of J.C.A. has been supported by two Australian Research Council Discovery grants (DP120102372 and DP110104145). Seismic data are from the IRIS DMS. D.L.S. acknowledges support from NSF grant EAR-135866. This is contribution 848 from the ARC Centre of Excellence for Core to Crust Fluid Systems (http://www.ccfs....
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We apply a novel 3-D multiobservable probabilistic tomography method that we have recently developed...
Here we present a 3-D multi-observable probabilistic inversion method, particularly designed for hig...
Parametric tomography (i.e. focused on physical parameters such as wave velocity or electrical condu...
3-D multi-observable probabilistic inversion for the compositional and thermal structure of the lith...
3-D multi-observable probabilistic inversion for the compositional and thermal structure of the lith...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Joint probabilistic inversions of magnetotelluric (MT) and seismic data have great potential for ima...
Joint probabilistic inversions of magnetotelluric (MT) and seismic data have great potential for ima...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We apply a novel 3-D multiobservable probabilistic tomography method that we have recently developed...
Here we present a 3-D multi-observable probabilistic inversion method, particularly designed for hig...
Parametric tomography (i.e. focused on physical parameters such as wave velocity or electrical condu...
3-D multi-observable probabilistic inversion for the compositional and thermal structure of the lith...
3-D multi-observable probabilistic inversion for the compositional and thermal structure of the lith...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Temperature and compositional variations of the North American (NA) lithospheric mantle are estimate...
Joint probabilistic inversions of magnetotelluric (MT) and seismic data have great potential for ima...
Joint probabilistic inversions of magnetotelluric (MT) and seismic data have great potential for ima...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...
We introduce a new method to construct integrated 3-D models of density, temperature, and compositio...