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inv-conj-geophy: Joint Inversions in Geophysics
Lecturers
Anthony Sladen, CNRS and University of Nice Sophia-Antipolis
Henriette Sudhaus, University of Potsdam
Zacharie Duputel, CNRS and University of Strasbourg
Schedule
Tuesday 9:00-10:30
Tuesday 11:00-12:30
Tuesday 16:00-17:30
Wednesday 14:00-15:30
Program
S1: Geodesy(/tsunami?) data
What are GPS, InSAR, tsunami data
Where to get them
How to process them (providing a list of tools, websites…)
How to predict them (providing a list of tools, websites…)
Hands-on: Kleifarvatn, 2000 Icelandic earthquake Part of S2, or just example on data prediction/processing?
S2: Implement/test different optimization techniques
S3: Seismology
Where to get data (providing a list of tools, websites…)
How to process (providing a list of tools, websites…)
Theory behind source inversion (brief extension to slow-slip events?)
S4: Bayesian source inversion (Zacharie's lecture)
choices of prior distribution (for static and kinematic parameters),
stochastic forward model (geodetic and seismic data),
solving the source inversion problem (MCMC, transitional MCMC, hierarchical modelling, model class selection, BIC/ABIC, etc).
Simple toy problem to illustrate MCMC
Questions/Ideas
Virtual machines? Alessia says it should be possible, files can be uploaded on the website
Content of theoretical lectures? Tarantola formalism, deterministic inversion, monte carlo, adjoint-based inversion