SCCS Colloquium - Mar 28, 2019

Date:	Mar 28, 2019
Room:	00.08.053
Time:	15:00 - 16:00

Nikolaos Ioannis Bountos: Combining the Combigrid method with the SG++ data-mining pipeline

This is a Guided Research talk. Nikolaos is advised by Kilian Röhner.

In this guided research we try to extend the data mining pipeline of SG++ to support solving PDEs using the combination technique. The main idea is to solve a PDE in small independent components and then combine the results. We expect this to majorly improve the performance of the current probability density estimation technique in the SG++ project, as well as create further opportunities for efficiency boosting via parallelization.

Keywords: Sparse Grids, PDE, Combination Technique, SG++

Language: English

Frank Schraufstetter: Development of a prototype to quantify the uncertainty of the water balance model LARSIM

This is a Bachelor's thesis submission talk. Frank is advised by Tobias Neckel, Florian Künzner, and Ivana Jovanovic.

Hydrological models are prone to uncertainty due to their complexity. The water balance model LARSIM provides a high degree of control through configuration parameters, which have to be calibrated for each application. The uncertainty originating from parameter calibration was evaluated. A prototype was developed to facilitate the propagation of uncertainty through the LARSIM model by using stochastic collocation with pseudo-spectral approach. The snow module parameters were exemplarily used for uncertainty propagation. The output of interest was evaluated using global sensitivity analysis and statistical measurements to determine the impact of uncertain parameters on the simulated runoff. Uncertainty of snow module parameters could not be proven definitively, but the large deviation of simulated and measured runoff indicate uncertainty in the model.

Keywords: Uncertainty Quantification, LARSIM

Language: English