Improved atmospheric transport for risk assessment

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Description

This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). To effectively respond to airborne chemical and biological warfare (CBW) attacks in urban settings, one must understand the vector of the threat, i.e., where is the effluent going and when will it get there. These answers are needed both in real time (who should be evacuated?) and afterwards (where should the cleanup be focused?). Certainly, advanced multiscale models are essential to this task. No model has value, however, until it is normalized and validated by measured data. Experience ... continued below

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7 p.

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Cooper, D. & Kao, J. December 1, 1998.

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Description

This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). To effectively respond to airborne chemical and biological warfare (CBW) attacks in urban settings, one must understand the vector of the threat, i.e., where is the effluent going and when will it get there. These answers are needed both in real time (who should be evacuated?) and afterwards (where should the cleanup be focused?). Certainly, advanced multiscale models are essential to this task. No model has value, however, until it is normalized and validated by measured data. Experience in atmospheric transport has demonstrated that the quality of model estimations is tightly coupled to the fidelity of the data and the effectiveness of its assimilation. The authors have started to quantify the improvement of accuracy of atmospheric transport and dispersion models that follows from enhanced remote sensing of meteorological parameters. The proper use of remote sensing data requires sophisticated assimilation techniques into advanced models, so the whole project emphasizes the synergy of the newest techniques for remote sensing observation, data analysis, data assimilation, and dynamic modeling. This work quantified the value of various levels of data for improving effluent tracking and prediction, and allows tradeoffs between the cost of data acquisition and its impact on accuracy.

Physical Description

7 p.

Notes

OSTI as DE99001259

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  • Other Information: PBD: [1998]

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  • Other: DE99001259
  • Report No.: LA-UR--98-2647
  • Grant Number: W-7405-ENG-36
  • DOI: 10.2172/296680 | External Link
  • Office of Scientific & Technical Information Report Number: 296680
  • Archival Resource Key: ark:/67531/metadc680587

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • December 1, 1998

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • May 20, 2016, 1:25 p.m.

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Cooper, D. & Kao, J. Improved atmospheric transport for risk assessment, report, December 1, 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc680587/: accessed June 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.