Objective method for improving the operational performance of a road ice prediction model using interpolated mesoscale output and a templet for correcting systematic error

Two techniques for improving the operational performance of numerical road ice prediction models are presented. The first uses the outpout from a mesoscale model to estimate the inputs for site-specific forecasts. The second uses a templet to reduce systematic bias in model output. -Authors