• Media type: E-Article
  • Title: Comparison of atmospheric transport calculations over complex terrain using a mobile profiling system and rawinsondes
  • Contributor: Cox, Robert M; Cogan, James; Sontowski, John; Dougherty, Catherine M; Fry, Richard N; Smith, Thomas J
  • imprint: Wiley, 2000
  • Published in: Meteorological Applications
  • Language: English
  • DOI: 10.1017/s1350482700001651
  • ISSN: 1350-4827; 1469-8080
  • Keywords: Atmospheric Science
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>A comparison of atmospheric transport and dispersion calculations over complex terrain was investigated using a mobile profiling system (MPS) versus standard meteorological balloons. Meteorological and sulfur hexafluoride (SF<jats:sub>6</jats:sub>) concentration data were collected and used to evaluate the performance of a transport and diffusion model coupled with a mass consistency wind field model. Meteorological data were collected throughout April 1995, and parts of August 1995. Both meteorological and concentration data were measured in December 1995. Once the models were validated, the comparison of performance with different upper‐air data were accomplished. The models used included the SCIPUFF (Second‐order Closure Integrated Puff) transport and diffusion model and the MINERVE mass consistency wind model. Evaluation of the models was focused primarily on their effectiveness as a short‐term (one to four hours) predictive tool. These studies showed how the combination of weather and transport models could be used to help direct emergency response following a hazardous material release. The models were used in tandem to direct the deployment of mobile sensors intended to intercept and measure tracer clouds. The MINERVE model was validated for the specific terrain of interest using April 1995 data. The capability of SCIPUFF driven by realistic three‐dimensional wind fields generated by MINERVE is demonstrated using data collected in December 1995. Copyright © 2000 Royal Meteorological Society</jats:p>
  • Access State: Open Access