Abstract



      The purpose of this project is to compare and contrast two different precipitation models.  Precipitation data for British Columbia are collect by the network of climate station throughout the province.  A simple interpolation map can be generated using these data to yield a precipitation model for BC based on the long term average.  Although long term averages can quite accurately predict the precipitation for a given location, the interpolation model will yield errors or uncertainty due to other physical factors which are not accounted for during the modeling.  Therefore a new model considering the physical factors which influence precipitation such as elevation, distance from the coast, aspect, and valley system was developed to compare the result with the simple interpolation model.  With a more accurate model of precipitaion, management can decide area that might be prone to flooding or drought in extreme weather condition.  Also a prediction as to what the precipitation pattern will be due to global warming.






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