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

doi:10.1016/j.procs.2012.04.118

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

Aerospace Engineering

Research output: Contribution to journal › Conference article › peer-review

16 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 language	English (US)
Pages (from-to)	1090-1099
Number of pages	10
Journal	Procedia Computer Science
Volume	9
DOIs	https://doi.org/10.1016/j.procs.2012.04.118
State	Published - 2012
Event	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

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10.1016/j.procs.2012.04.118

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title = "A DDDAS framework for volcanic ash propagation and hazard analysis",

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.",

author = "A. Patra and M. Bursik and J. Dehn and M. Jones and M. Pavolonis and Pitman, {E. B.} and T. Singh and P. Singla and P. Webley",

note = "Funding Information: The work reported here was supported by AFOSR contract number FA9550-11-1-0336.; 12th Annual International Conference on Computational Science, ICCS 2012 ; Conference date: 04-06-2012 Through 06-06-2012",

year = "2012",

doi = "10.1016/j.procs.2012.04.118",

language = "English (US)",

volume = "9",

pages = "1090--1099",

journal = "Procedia Computer Science",

issn = "1877-0509",

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TY - JOUR

T1 - A DDDAS framework for volcanic ash propagation and hazard analysis

AU - Patra, A.

AU - Bursik, M.

AU - Dehn, J.

AU - Jones, M.

AU - Pavolonis, M.

AU - Pitman, E. B.

AU - Singh, T.

AU - Singla, P.

AU - Webley, P.

N1 - Funding Information: The work reported here was supported by AFOSR contract number FA9550-11-1-0336.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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U2 - 10.1016/j.procs.2012.04.118

DO - 10.1016/j.procs.2012.04.118

M3 - Conference article

AN - SCOPUS:84893044639

SN - 1877-0509

VL - 9

SP - 1090

EP - 1099

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 12th Annual International Conference on Computational Science, ICCS 2012

Y2 - 4 June 2012 through 6 June 2012

ER -

A DDDAS framework for volcanic ash propagation and hazard analysis

Abstract

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