Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation

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

doi:10.1016/j.procs.2013.05.356

Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation

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

Imaging Physics

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

15 Scopus citations

Abstract

In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport and dispersal. Our primary modeling tool will be a new code puffin formed by the 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 ensemble based uncertainty quantification and parameter estimation methodology - polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.

Original language	English (US)
Pages (from-to)	1871-1880
Number of pages	10
Journal	Procedia Computer Science
Volume	18
DOIs	https://doi.org/10.1016/j.procs.2013.05.356
State	Published - 2013
Event	13th Annual International Conference on Computational Science, ICCS 2013 - Barcelona, Spain Duration: Jun 5 2013 → Jun 7 2013

Keywords

DDDAS
Uncertainty quantification
Volcanic ash transport

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2013.05.356

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Patra, A. K., Bursik, M., Dehn, J., Jones, M., Madankan, R., Morton, D., Pavolonis, M., Pitman, E. B., Pouget, S., Singh, T., Singla, P., Stefanescu, E. R., & Webley, P. (2013). Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation. Procedia Computer Science, 18, 1871-1880. https://doi.org/10.1016/j.procs.2013.05.356

Patra, AK, Bursik, M, Dehn, J, Jones, M, Madankan, R, Morton, D, Pavolonis, M, Pitman, EB, Pouget, S, Singh, T, Singla, P, Stefanescu, ER & Webley, P 2013, 'Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation', Procedia Computer Science, vol. 18, pp. 1871-1880. https://doi.org/10.1016/j.procs.2013.05.356

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title = "Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation",

abstract = "In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport and dispersal. Our primary modeling tool will be a new code puffin formed by the 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 ensemble based uncertainty quantification and parameter estimation methodology - polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.",

keywords = "DDDAS, Uncertainty quantification, Volcanic ash transport",

author = "Patra, {A. K.} and M. Bursik and J. Dehn and M. Jones and R. Madankan and D. Morton and M. Pavolonis and Pitman, {E. B.} and S. Pouget and T. Singh and P. Singla and Stefanescu, {E. R.} and P. Webley",

note = "Funding Information: The work reported here was supported by AFOSR contract number FA9550-11-1-0336 and by NSF CMMI-1131074.; 13th Annual International Conference on Computational Science, ICCS 2013 ; Conference date: 05-06-2013 Through 07-06-2013",

year = "2013",

doi = "10.1016/j.procs.2013.05.356",

language = "English (US)",

volume = "18",

pages = "1871--1880",

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T1 - Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation

AU - Patra, A. K.

AU - Bursik, M.

AU - Dehn, J.

AU - Jones, M.

AU - Madankan, R.

AU - Morton, D.

AU - Pavolonis, M.

AU - Pitman, E. B.

AU - Pouget, S.

AU - Singh, T.

AU - Singla, P.

AU - Stefanescu, E. R.

AU - Webley, P.

N1 - Funding Information: The work reported here was supported by AFOSR contract number FA9550-11-1-0336 and by NSF CMMI-1131074.

PY - 2013

Y1 - 2013

N2 - In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport and dispersal. Our primary modeling tool will be a new code puffin formed by the 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 ensemble based uncertainty quantification and parameter estimation methodology - polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.

AB - In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport and dispersal. Our primary modeling tool will be a new code puffin formed by the 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 ensemble based uncertainty quantification and parameter estimation methodology - polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.

KW - DDDAS

KW - Uncertainty quantification

KW - Volcanic ash transport

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EP - 1880

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 13th Annual International Conference on Computational Science, ICCS 2013

Y2 - 5 June 2013 through 7 June 2013

ER -

Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation

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Keywords

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