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Title: Uncertainty Analysis of Consequence Management (CM) Data Products.

Abstract

The goal of this project is to develop and execute methods for characterizing uncertainty in data products that are deve loped and distributed by the DOE Consequence Management (CM) Program. A global approach to this problem is necessary because multiple sources of error and uncertainty from across the CM skill sets contribute to the ultimate p roduction of CM data products. This report presents the methods used to develop a probabilistic framework to characterize this uncertainty and provides results for an uncertainty analysis for a study scenario analyzed using this framework.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [3];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Remote Sensing Lab. (RSL), Nellis AFB, Las Vegas, NV (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1417787
Report Number(s):
SAND2018-0329
659902
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Hunt, Brian D., Eckert-Gallup, Aubrey Celia, Cochran, Lainy Dromgoole, Kraus, Terrence D., Fournier, Sean Donovan, Allen, Mark B., Schetnan, Richard Reed, Simpson, Matthew D., Okada, Colin E., and Bingham, Avery A. Uncertainty Analysis of Consequence Management (CM) Data Products.. United States: N. p., 2018. Web. doi:10.2172/1417787.
Hunt, Brian D., Eckert-Gallup, Aubrey Celia, Cochran, Lainy Dromgoole, Kraus, Terrence D., Fournier, Sean Donovan, Allen, Mark B., Schetnan, Richard Reed, Simpson, Matthew D., Okada, Colin E., & Bingham, Avery A. Uncertainty Analysis of Consequence Management (CM) Data Products.. United States. doi:10.2172/1417787.
Hunt, Brian D., Eckert-Gallup, Aubrey Celia, Cochran, Lainy Dromgoole, Kraus, Terrence D., Fournier, Sean Donovan, Allen, Mark B., Schetnan, Richard Reed, Simpson, Matthew D., Okada, Colin E., and Bingham, Avery A. Mon . "Uncertainty Analysis of Consequence Management (CM) Data Products.". United States. doi:10.2172/1417787. https://www.osti.gov/servlets/purl/1417787.
@article{osti_1417787,
title = {Uncertainty Analysis of Consequence Management (CM) Data Products.},
author = {Hunt, Brian D. and Eckert-Gallup, Aubrey Celia and Cochran, Lainy Dromgoole and Kraus, Terrence D. and Fournier, Sean Donovan and Allen, Mark B. and Schetnan, Richard Reed and Simpson, Matthew D. and Okada, Colin E. and Bingham, Avery A.},
abstractNote = {The goal of this project is to develop and execute methods for characterizing uncertainty in data products that are deve loped and distributed by the DOE Consequence Management (CM) Program. A global approach to this problem is necessary because multiple sources of error and uncertainty from across the CM skill sets contribute to the ultimate p roduction of CM data products. This report presents the methods used to develop a probabilistic framework to characterize this uncertainty and provides results for an uncertainty analysis for a study scenario analyzed using this framework.},
doi = {10.2172/1417787},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2018},
month = {Mon Jan 01 00:00:00 EST 2018}
}

Technical Report:

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