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AN APPROACH FOR INCORPORATING SUB-GRID VARIABILITY INFORMATION INTO AIR QUALITY MODELING
Citation:
CHING, J. K., V. ISAKOV, M. A. MAJEED, AND J. IRWIN. AN APPROACH FOR INCORPORATING SUB-GRID VARIABILITY INFORMATION INTO AIR QUALITY MODELING. Presented at Joint Conference on the Application of Air Pollution Meteorology and Air and Waste Management Association, Atlanta, GA, January 29 - February 02, 2006.
Impact/Purpose:
The objective of this task is to develop and evaluate numerical and physical modeling tools for simulating ground-level concentrations of airborne substances in urban settings at spatial scales ranging from ~1-10 km. These tools will support client needs in the areas of air toxics and homeland security. The air toxics tools will benefit the National Air Toxics Assessment (NATA) program and human exposure modeling needs within EPA. The homeland security-related portion of this task will help in developing tools to assess the threat posed by the release of airborne agents. Both sets of tools will consider the effects induced by urban morphology on fine-scale concentration distributions.
Description:
All air quality grid model outputs are single valued for each grid cell at each time step. This paper explores a method for introducing unresolved spatial details using weighting function for sub-grid variability (SGV) to grid model outputs. This study examined and compared the Coefficient of Variation, the 95th percentile and the peak-to-mean statistical representations of the a priori SGV distributions. Potential utility of the method and these different weighting functions include air toxic assessments, model evaluation and SIP applications.