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.
|Number of pages
|Procedia Computer Science
|Published - 2012
|12th Annual International Conference on Computational Science, ICCS 2012 - Omaha, NB, United States
Duration: Jun 4 2012 → Jun 6 2012
All Science Journal Classification (ASJC) codes
- General Computer Science