[CIG-ALL] Upcoming CIG Webinar on Thursday, April 16 @11a PT: Geodynamic Inversion: Methods to link models with data & how that helps to obtain insights in the physics and rheology of the lithosphere (Boris Kaus, Tobias Baumann, Georg Reuber, Anton Popov)

John Naliboff jbnaliboff at ucdavis.edu
Mon Apr 13 10:28:48 PDT 2020

Dear Colleagues,

The third presentation of the 2019-2020 CIG webinar series will be held 
next Thursday, April 16 from 11 AM -1 PM Pacific Time.

In contrast to previous years, the 2019-2020 webinar series highlights 
the cutting edge observations, data sets, and new quantitative methods 
that drive geodynamic modelling investigations.

The webinar on April 16 will be presented by/Boris Kaus, Tobias Baumann, 
Georg Reuber, Anton Popov/(Johannes Gutenberg University of Mainz) 
on*Geodynamic inversion: Methods to link models with data & how that 
helps to obtain insights in the physics and rheology of the lithosphere*:
In order to link geodynamic forward models with geological and 
geophysical data, inverse modelling strategies are required. Here, we 
will discuss the basic principles behind the two main inversion 
approaches: Sampling-based (statistical) and gradient-based 
(deterministic) inversion. We will show the advantages and disadvantages 
of each approach related to geodynamical inverse problems. We will also 
explain the adjoint method, which is a particularly efficient way to 
compute the pointwise gradient of the misfit function with respect to 
model parameters. The gradients are not only useful for inversions but 
can also be employed to 1) automatically determine the key model 
parameters (and scaling laws) for a particular geodynamic simulation and 
2) can be used to compute geodynamic sensitivity kernels that visually 
show where changes in the setup have a key impact, on, for example, the 
surface velocity. Finally, we will discuss a detailed example that shows 
how geodynamic inversion can be used to constrain the rheology of the 

To join the webinar, please connect at :https://zoom.us/j/955605274

For additional information, please 

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!

Best wishes,
John Naliboff

John Naliboff
Assistant Research Scientist
Computational Infrastructure for Geodynamics
Earth and Planetary Sciences
University of California, Davis

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