Abstract
In this paper, we present new ideas to greatly enhance the quality of uncertainty quantification in the DDDAS framework. We build on ongoing work in large scale transport of geophysical mass of volcanic origin - A danger to both land based installations and airborne vehicles. The principal new idea introduced is the concept of a localized Bayes linear model as a surrogate for the expensive simulator. Probability of ash presence is compared to earlier work.
Original language | English (US) |
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Pages (from-to) | 1227-1235 |
Number of pages | 9 |
Journal | Procedia Computer Science |
Volume | 29 |
DOIs | |
State | Published - 2014 |
Event | 14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia Duration: Jun 10 2014 → Jun 12 2014 |
Keywords
- DDDAS
- Surrogates
- Uncertainty quantification
ASJC Scopus subject areas
- General Computer Science