Air dispersion modeling is a practice of using mathematical equations to characterize the atmospheric conditions and address how pollutants emitted by a source disperse. Dispersion models require detailed inputs in order to produce meaningful predictions. Modeled predictions provide useful information in making decisions for permits, state implementation plans, and even air monitor siting.
Meteorological data are required to perform refined modeling. The division provides surface data with ADJ_U* combined with upper air data from Wilmington or Nashville. The table at the bottom of this page contains zipped files of the processed meteorological data for years 2015-2019 organized by regions as shown on the maps.