Uncertainty Quantification in Computational Models
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Posterior distributions for Stokes Model parameters generated using Markov Chain Monte Carlo sampling. (Figure 4 in UQ_Group4) |
Course advisor - Dr. Robert Moser
Collaborators - Shane McQuarrie, Caleb Phillips, Bassel Saleh
We tackled the following problems:
- Calibration of Stokes Drag with laboratory measurement data collected at UIUC
- Calibration of EBM model for climate change to surface temperature data
- Bayesian Model selection for opacity parameter of the EBM climate model
- Use of MCMC sampling to sample high dimensional posterior distributions
The reports can be found here.