Fast construction of surrogates for UQ central to DDDAS - Application to volcanic ash transport

E. R. Stefanescu, A. K. Patra, M. Bursik, M. Jones, R. Madankan, E. B. Pitman, S. Pouget, T. Singh, P. Singla, P. Webley, D. Morton

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

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 languageEnglish (US)
Pages (from-to)1227-1235
Number of pages9
JournalProcedia Computer Science
Volume29
DOIs
StatePublished - 2014
Event14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia
Duration: Jun 10 2014Jun 12 2014

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Fast construction of surrogates for UQ central to DDDAS - Application to volcanic ash transport'. Together they form a unique fingerprint.

Cite this