MM5-HPAC simulation experiments

Summary We evaluate mesoscale model predicted boundary-layer flow and the subsequent HPAC (Hazard Prediction and Assessment Capability) dispersion computation. The HPAC software allows for prediction of the effects of surface release of hazardous material into the atmosphere and collateral damage on civilian populations using either observed or numerical weather model data. The advanced mesoscale weather model MM5 was employed in the study. The real-data MM5 model simulations were verified with high-resolution observations from the West Texas Mesonet. MM5 worked well in simulating meteorologically relatively quiescent conditions. We examined the sensitivity of HPAC computations to the MM5 model’s grid resolution, lateral boundary conditions, and input weather data. Results suggest that the MM5-HPAC conjugation can provide useful prediction of airborne transport of hazardous materials near the surface. However, the accuracy of diffusion computations strongly depends on the performance of MM5, which in turn is likely to be a function of weather scenarios. A given state-of-the-art mesoscale model may perform well in some cases but not in others. There is a potential benefit of using several different model winds separately to run HPAC. A composite result of the HPAC runs could give a more comprehensive depiction of the transport of surface hazardous agents.