The second presentation of the 2019-2020 CIG webinar series will be held next Wednesday, February 26 from 2-3 PM Pacific Time.
In contrast to previous years, the 2019-2020 webinar series highlights the cutting edge observations and data sets that drive geodynamic modelling investigations.
The webinar on February 26 will be presented by Dr. Brandon Schmandt (University of New Mexico) on “Seismic data and data products to motivate, guide, and test geodynamic models of the lithosphere and upper mantle”:
Observational seismic data and data products are among the major sources of information about structure and multi-scale deformation in the lithosphere and underlying mantle. However, the data and products come in many forms that continue to evolve and the observational perspective is inherently messy. Physical modeling frameworks take a process-based perspective that can yield one or more viable explanations for the major features identified by observational seismology. Such interactions between seismology and geodynamics have been highly fruitful over the past few decades. The purpose of this webinar is to consider relatively new observational seismology products or methods of access that might facilitate advances on outstanding questions about tectonic and magmatic processes. Crust and upper mantle (an)isotropic tomography, imaging of sharp interfaces, and earthquake catalogs will be emphasized as observational constraints. Many of the outstanding questions emphasized will be related to deformation involving fluid-solid coupling or spanning multiple rheological regimes.
To join the webinar, please connect at: https://zoom.us/j/955605274 1
For additional information, please visit https://geodynamics.org/cig/events/webinars/.
As this webinar may be of interest to the broader Earth Sciences community, we encourage forwarding this announcement on to additional mailing lists or colleagues that may not normally receive CIG announcements.
We look forward to your attendance and please do not hesitate to contact us if you have any questions!
Computational Infrastructure for Geodynamics