CALPUFF Modeling System
Entry ID: CALPUFF
Abstract: CALPUFF is an advanced non-steady-state meteorological and air quality modeling
system developed and distributed by Earth Tech, Inc. The model has been adopted
by the U.S. Environmental Protection Agency (U.S. EPA) 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. The modeling system consists of three main components and a set
of preprocessing and postprocessing programs. The main components of the
modeling system are CALMET (a diagnostic 3-dimensional meteorological model),
CALPUFF (an air quality dispersion model), and CALPOST (a postprocessing
package). Each of these programs has a graphical user interface (GUI). In
addition to these components, there are numerous other processors that may be
used to prepare geophysical (land use and terrain) data in many standard
formats, meteorological data (surface, upper air, precipitation, and buoy
data), and interfaces to other models such as the Penn State/NCAR Mesoscale
Model (MM5), the National Centers for Environmental Prediction (NCEP) Eta model
and the RAMS meteorological model.
Bennett, M.J, M.E. Yansura, I.G. Hornyik, J.M. Nall, D.G. Caniparoli and C.G.
Ashmore, 2002. Evaluation of the CALPUFF Long-range Transport Screening
Technique by Comparison to Refined CALPUFF Results for Several Power Plants in
Both the Eastern and Western United States. Proceedings of the Air & Waste
Management Association's 95th Annual Conference, June 23-27, 2002; Baltimore,
MD. Paper #43454.
Levy, JI; Spengler, JD; Hlinka, D; Sullivan, D; Moon, D (2002): Using CALPUFF
to evaluate the impacts of power plant emissions in Illinois: mode sensitivity
and implications. Atmos. Environ. Vol 36(6):1063-1075.
Zhou, Y; Levy, JI; Hammitt, JK; Evans, JS (2003): Estimating population
exposure to power plant emissions using CALPUFF: a case study in Beijing,
China. Atmos. Environ. Vol. 37(6):815-826
Creation and Review Dates