MeetingOfInterest:Meeting-406
via zoom, United States
16 - 16 April 2020
|
Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
Official website
Meeting contact
John Naliboff
|
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 lithosphere.
To join the webinar, please connect at: https://zoom.us/j/955605274
For additional information, please visit https://geodynamics.org/cig/events/webinars/ .
