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==== Program ==== | ==== Program ==== | ||
- | S1: Geodesy(/tsunami?) data - Tuesday 9:00-10:30 | + | Introduction (Zacharie) |
+ | |||
+ | S1: Geodesy data - Tuesday 9:00-10:30 (Henriette) | ||
* What are GPS, InSAR, tsunami data | * What are GPS, InSAR, tsunami data | ||
* Where to get them | * Where to get them | ||
* How to process them (providing a list of tools, websites...) | * How to process them (providing a list of tools, websites...) | ||
* How to predict 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?** (Anthony) | ||
- | * **It is probably a good hands-on case for S2** (Zacharie) | ||
- | S2: Implement/test different optimization techniques - Tuesday 11:00-12:30 | + | S2: Implement/test different optimization techniques - Tuesday 11:00-12:30 (Henriette and Anthony) |
* linearized | * linearized | ||
* stochastic | * stochastic | ||
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* resolution tests | * resolution tests | ||
* strategies to combine different data sets | * strategies to combine different data sets | ||
+ | * Hands-on: Kleifarvatn, 2000 Icelandic earthquake | ||
+ | * **Part of S2, or just example on data pred./proc.?** (Anthony) -> **I moved it to S2** (Zacharie) | ||
- | S3: Seismology - Tuesday 16:00-17:30 | + | S3: Seismology(/tsunami?) - Tuesday 16:00-17:30 (Anthony) |
* Where to get data (providing a list of tools, websites...) | * Where to get data (providing a list of tools, websites...) | ||
* How to process (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?) | + | * Theory behind source inversion |
+ | * Brief extension to slow-slip events? | ||
- | S4: Bayesian source inversion (Zacharie's lecture) - Wednesday 14:00 - 15:30 | + | S4: Bayesian source inversion - Wednesday 14:00 - 15:30 (Zacharie) |
* choices of prior distribution (for static and kinematic parameters), | * choices of prior distribution (for static and kinematic parameters), | ||
* stochastic forward model (geodetic and seismic data), | * stochastic forward model (geodetic and seismic data), | ||
* solving the source inversion problem (MCMC, transitional MCMC, hierarchical modelling, model class selection, BIC/ABIC, etc). | * solving the source inversion problem (MCMC, transitional MCMC, hierarchical modelling, model class selection, BIC/ABIC, etc). | ||
* Simple toy problem to illustrate MCMC | * Simple toy problem to illustrate MCMC | ||
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==== Questions/Ideas ==== | ==== Questions/Ideas ==== | ||