Meteorological data assimilation for real-time emergency response

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Description

The US Department of Energy`s Atmospheric Release Advisory Capability (ARAC) provides real-time dose assessments of airborne pollutant releases. Diverse data assimilation techniques are required to meet the needs of a new generation of ARAC models and to take advantage of the rapidly expanding availability of meteorological data. We are developing a hierarchy of algorithms to provide gridded meteorological fields which can be used to drive dispersion codes or to provide initial fields for mesoscale models. Data to be processed include winds, temperature, moisture, and turbulence.

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7 p.

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Sugiyama, G. & Chan, S.T. November 1, 1996.

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Description

The US Department of Energy`s Atmospheric Release Advisory Capability (ARAC) provides real-time dose assessments of airborne pollutant releases. Diverse data assimilation techniques are required to meet the needs of a new generation of ARAC models and to take advantage of the rapidly expanding availability of meteorological data. We are developing a hierarchy of algorithms to provide gridded meteorological fields which can be used to drive dispersion codes or to provide initial fields for mesoscale models. Data to be processed include winds, temperature, moisture, and turbulence.

Physical Description

7 p.

Notes

INIS; OSTI as DE98051495

Other: FDE: PDF; PL:

Source

  • 6. American Nuclear Society (ANS) topical meeting on emergency preparedness and response, San Francisco, CA (United States), 22-25 Apr 1997

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  • Other: DE98051495
  • Report No.: UCRL-JC--125036
  • Report No.: CONF-970419--
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 598761
  • Archival Resource Key: ark:/67531/metadc692356

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  • November 1, 1996

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • April 6, 2017, 6:06 p.m.

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Sugiyama, G. & Chan, S.T. Meteorological data assimilation for real-time emergency response, article, November 1, 1996; California. (digital.library.unt.edu/ark:/67531/metadc692356/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.