Intercomparison of Spatial Forecast Verification Methods: Identifying Skillful Spatial Scales Using the Fractions Skill Score

摘要: Abstract The fractions skill score (FSS) was one of the measures that formed part Intercomparison Spatial Forecast Verification Methods project. FSS used to assess a common dataset consisted real and perturbed Weather Research Forecasting (WRF) model precipitation forecasts, as well geometric cases. These datasets are all based on NCEP 240 grid, which translates approximately 4-km resolution over contiguous United States. cases showed can provide truthful assessment displacement errors forecast skill. In addition, be determine scale at an acceptable level is reached this usage perhaps more helpful than interpreting actual value. This spatial-scale approach becoming popular for monitoring operational performance. study also shows how responds bias. A biased always gives lower values large scales usually sma...