Dietmar Müller 
We are seeking to appoint an enthusiastic researcher at either a Level A or Level B to join the research team for the STELLAR project group (Spatio TEmporaL expLorAtion for Resources). STELLAR is a collaboration between BHP and the EarthByte Group at the University of Sydney aimed at implementing big and complex spatio-temporal data analysis … Read more…
The existence of mantle plumes was first proposed in the 1970s to explain intra-plate, hotspot volcanism, yet owing to difficulties in resolving mantle upwellings with geophysical images and discrepancies in interpretations of geochemical and geochronological data, the origin, dynamics and composition of plumes and their links to plate tectonics are still contested. In a recently … Read more…
In Eastern Asia, Jurassic and Cretaceous intraplate volcanism and magmatism differ in their spatial distribution and composition. A combination of plate kinematic and geodynamic models provides clues for their causes.
Carbonate accumulation rates (CAR) in the South Atlantic through time, with the average CCD for the South Atlantic shown in black, which the CCD in the Walvis Ridge/Rio Grande Rise area is shown in magenta. Deep-sea carbonate deposition is a complex process that is encapsulated in the carbonate compensation depth (CCD)—a facies boundary separating calcareous … Read more…
In the latest Geology Bites podcast series, Dietmar Muller talks about the challenges and benefits of reconstructing Earth evolution over a billion years with Oliver Strimpel, former astrophysicist and museum director, and Visiting Professor at the Department of Earth Sciences at Oxford University. https://www.geologybites.com/ A transcript of the podcast can be found here.
We have developed a novel data-driven approach to reconstruct precipitation patterns through geological time, since the supercontinent Pangea was in existence. Our approach involves linking climate-sensitive sedimentary deposits such as coal, evaporites and glacial deposits to a global plate model, reconstructed paleo-elevation maps and high-resolution General Circulation Models via Bayesian machine learning. We model the … Read more…