Recorded presentation11.5A
Tests of a coupled diagnostic wind model and a Lagrangian stochastic dispersion model using the JU2003 data sets
Yansen Wang, U.S. Army Research Laboratory, Adelphi, MD; and D. Garvey, L. Luces, and D. Knapp
The U.S. Army Research Laboratory has developed a diagnostic wind model and a Lagrangian Stochastic particle dispersion model for transport and diffusion simulation over urban areas and complex terrain. The wind model is based on a variational approach using the mass consistent principle. The reversal wake flows of buildings and steep topographic features are parameterized in the model. The wind model diagnoses a three-dimensional mean wind field given limited observational inputs. The Lagrangian Stochastic transport model is based on a theory of turbulent transport in a Lagrangian reference frame given a set of parameterized mean turbulence statistics. The system is tested with the data sets collected during the Joint Urban 2003 field experiment. This paper will present some simulation results and compare with the observational data. The numerical method, wake parameterization, and turbulence parameterization in the modeling system will also be discussed. Recorded presentation
Session 11, Urban Air Quality and Dispersion Studies II
Thursday, 13 September 2007, 1:30 PM-3:00 PM, Kon Tiki Ballroom
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