PrOlor is an odors forecasting system in ambient air, operating and innovative.
PrOlor reports odor events with an advance of 48 hours making it possible to modify the operating conditions of the emission sources. The system assimilates emissions data in real time and hourly estimates future concentrations of odor associated with current emissions.
With the development of an interface for mobile devices, you may see areas of exceedances odor or events that will occur in your current location. Furthermore, through this app the system is capable of generating back trajectory at any point where the user is and estimating the source of odor.
The program is based on WRF/CALMET/CALPUFF models system, compiled and installed on Linux platforms. Data mining is done from netCDF standard format, from which the plotting, creating data files, storage \"in the cloud\" and exploitation through web and mobile is made.