A DDDAS framework for volcanic ash propagation and hazard analysis

A. Patra, M. Bursik, J. Dehn, M. Jones, M. Pavolonis, E. B. Pitman, T. Singh, P. Singla, P. Webley

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations

Abstract

In this paper we will present early work on using a DDDAS based approach to the construction of probabilistic estimates of volcanic ash transport and dispersal. Our primary modeling tools will be a combination of a plume eruption model BENT and the ash transport model PUFF. Data from satellite imagery, observation of vent parameters and windfields will drive our simulations. We will use uncertainty quantification methodology - polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.

Original languageEnglish (US)
Pages (from-to)1090-1099
Number of pages10
JournalProcedia Computer Science
Volume9
DOIs
StatePublished - 2012
Event12th Annual International Conference on Computational Science, ICCS 2012 - Omaha, NB, United States
Duration: Jun 4 2012Jun 6 2012

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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