The forecast accuracy for temperature, horizontal winds, and dew point agreed closely with the results from radiosonde-model validation experiments, which gave confidence in the aircraft-model validation methodology. The hit rate (HR), false alarm rate (FAR), and true skill statistic (TSS) for the Canadian operational cloud (icing) forecasts were 0.52 (0.37), 0.30 (0.22), and 0.22 (0.15) respectively, when the model data were inferred at a horizontal resolution of 1.5 km. The HRs (FARs) for cloud and SCW events are sensitive to horizontal resolution and increase to 0.76 (0.50) and 0.66 (0.53), respectively, when a horizontal resolution of 100 km is used.
Intercomparisons of the four explicit cloud schemes with the aircraft data gave similar TSS values, varying between 0.27 for SUND and 0.34 for KY. The TSS for SCW forecasts was 0.15 and 0.30 for the MIX and KY schemes respectively. Quantitative comparisons show that the total water content (water drops and ice crystals) obtained by the MIX scheme agreed mostly closely with the aircraft measurement, while the HSIE and KY schemes overestimated TWC. The forecast ice water contents for the HSIE, MIX and KY schemes are too large. Although the KY scheme produced a higher TSS score, the predicted supercooled liquid water content was normally substantially higher than the observations, implying that improvements to the microphysics parameterizations are necessary. Strengths and weaknesses for each cloud and SCW scheme will be discussed.
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