1.Aermod (U.S. Environmental Protection Agency) is a steady-state plume model that incorporates air dispersion based on planetary boundary layer turbulence structure and scaling concepts, including treatment of both surface and elevated sources, and both simple and complex terrain.

2.The Advanced Regional Prediction (ARPS) is a comprehensive regional to stormscale atmospheric modeling/prediction system. It is a complete system that includes a realtime data analysis and assimilation system, a forward prediction model and a post-analysis package. The ARPS was initially developed at the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma, under the support of the National Science Foundation Science and Technology Center (STC) program. CAPS will continue to improve and support the use of ARPS.

3.CALMET is a diagnostic meteorological model which reconstructs the 3D wind and temperature fields starting from meteorological measurements, orography and land use data. Besides the wind and temperature fields, CALMET determines the 2D fields of micro meteorological variables needed to carry out dispersion simulations (mixing height, Monin Obukhov length, friction velocity, convective velocity and others).

4.CALPUFF is an advanced non-steady-state meteorological and air quality modeling system developed by Exponent scientists. It is maintained by the model developers and distributed by Exponent. The model has been adopted by the U.S. Environmental Protection Agency (USEPA) in its Guideline on Air Quality Models as the preferred model for assessing long range transport of pollutants and their impacts on Federal Class I areas and on a case-by-case basis for certain near-field applications involving complex meteorological conditions.

5.CAMx is an Eulerian (gridded) regional photochemical dispersion model that allows for integrated “one-atmosphere” assessments of tropospheric air pollution (ozone, particulate matter, air toxics) over spatial scales ranging from neighborhoods to continents.

6.CMAQ is an active open-source development project of the U.S. EPA Atmospheric Science Modeling Division that consists of a suite of programs for conducting air quality model simulations. CMAQ is supported and distributed by the CMAS Center. CMAQ combines current knowledge in atmospheric science and air quality modeling with multi-processor computing techniques in an open-source framework to deliver fast, technically sound estimates of ozone, particulates, toxics, and acid deposition.

7.The PSU/NCAR mesoscale model (known as MM5) is a limited-area, nonhydrostatic, terrain-following sigma-coordinate model designed to simulate or predict mesoscale atmospheric circulation. The model is supported by several pre- and post-processing programs, which are referred to collectively as the MM5 modeling system. The MM5 modeling system software is mostly written in Fortran, and has been developed at Penn State and NCAR as a community mesoscale model with contributions from users worldwide.

8.RAMS (Regional Atmospheric Modeling System) is a highly versatile numerical code developed by scientists at Colorado State University for simulating and forecasting meteorological phenomena and for depicting the results.

9.SMOKE input data consist of emissions inventories, temporal and chemical speciation profiles, spatial surrogates, gridded meteorology and land use data, and other ancillary files for specifying the timing, location, and chemical nature of emissions.