# Skill Scores SEV/OCA vs. ACTRIS from 20241231 to 20250113 # Legend: # Ntot = Total number of points used for computation of skill scores # For Parameter=Cloud Mask --> POD_1 = Probability Of Detection for clear-sky (from 0=WORST value to 1=BEST value, -999=no statistic) # POD_2 = Probability Of Detection for clouds (from 0=WORST value to 1=BEST value, -999=no statistic) # FAR_1 = False Alarm Rate for clear-sky (from 0=BEST value to 1=WORST value, -999=no statistic) # FAR_2 = False Alarm Rate for clouds (from 0=BEST value to 1=WORST value, -999=no statistic) # HR = Hit Rate for cloud detection (from 0=WORST value to 1=BEST value, -999=no statistic) # For Parameter=Cloud Phase --> POD_1 = Probability Of Detection for water clouds (from 0=WORST value to 1=BEST value, -999=no statistic) # POD_2 = Probability Of Detection for ice clouds (from 0=WORST value to 1=BEST value, -999=no statistic) # FAR_1 = False Alarm Rate for water clouds (from 0=BEST value to 1=WORST value, -999=no statistic) # FAR_2 = False Alarm Rate for ice clouds (from 0=BEST value to 1=WORST value, -999=no statistic) # HR = Hit Rate for cloud phase (from 0=WORST value to 1=BEST value, -999=no statistic) # For Parameter=N. of Layers--> POD_1 = Probability Of Detection for single layer (from 0=WORST value to 1=BEST value, -999=no statistic) # POD_2 = Probability Of Detection for 2-layers (from 0=WORST value to 1=BEST value, -999=no statistic) # FAR_1 = False Alarm Rate for single layer (from 0=BEST value to 1=WORST value, -999=no statistic) # FAR_2 = False Alarm Rate for 2-layers (from 0=BEST value to 1=WORST value, -999=no statistic) # HR = Hit Rate single vs. 2-layers (from 0=WORST value to 1=BEST value, -999=no statistic) # # Parameter Ntot POD_1 POD_2 FAR_1 FAR_2 HR Cloud_Mask 11521 0.7174 1.0000 0.0000 0.2102 0.8629 Cloud_Phase_SL 3916 0.8223 0.6461 0.6716 0.0547 0.6767 Cloud_Phase_2L_BotWat 3134 1.0000 -999.0000 0.5000 -999.0000 0.5000 Cloud_Phase_2L_TopIce 1676 -999.0000 1.0000 -999.0000 0.0233 0.9767 N_layers 6229 0.8284 0.3187 0.1012 0.7973 0.7671