CALPUFF Training Presented by TRC

CALPUFF Photo

CALPUFF is a non-steady-state modeling system, developed by TRC scientists, that is being used for a wide variety of air quality modeling studies, including toxic pollutant deposition, near-field impacts from point, line, area, and volume sources, forest fire impacts, visibility assessments, and long range transport studies. This system is a comprehensive modeling tool that includes meteorological and geophysical data processors, a meteorological model, a puff-based dispersion model, and postprocessing modules.
TRC is pleased to offer an intensive three day training course that includes hands-on application of the models and provides an introduction to their technical basis. Attendees of the course will receive a training workbook that includes example applications, updates on recent model enhancements, and the latest versions of the models and Graphical User Interfaces (GUIs).

Major Features of the CALPUFF Model	Recent Developments - CALPUFF
Point, area, volume, and line sources	Buoyant area source algorithm
Non-steady-state emissions and meteorological conditions	Buoyant line source capability
Calm wind algorithm	Wind shear effects - Puff splitting
Causality effects	ISC input conversion program
Efficient sampling functions	BPIP interface
Dispersion coefficient options	Split sigmas
Boundary layer turbulence	Output data compression
Vertical wind shear
Plume rise	Recent Developments - CALMET
Building downwash	MM4/MM5 interface
Subgrid scale complex terrain(CTDM)	Use of satellite cloud data
Dry deposition	Similarity theory options
Overwater and coastal interaction effects	Map factors
Chemical transformation options	Interpolation of precipitation data
Wet removal	Slope flow improvements
Visibility	Terrain angle, orientation and shadowing effects
Graphical User Interfaces