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  1. Compute the year-to-year variance of the observed (ERA5) index for the hindcast period (1993-2016 for all systems, except NCEP where 1999-2016 is used): ovar .
  2. Compute the year-to-year variance for each ensemble member of the hindcast for the same period, and average across members to obtain the hindcast variance: hvar . Note this is done independently for each start date and leadtime
  3. Estimate the scaling factor (to be applied to the real time forecasts):
    1. Compute: scaling_factor = sqrt(ovar)/sqrt(hvar) 
    2. Apply a cap to scaling_factor  so it is limited to 1.4  (equivalent to approximately a doubling of the variance)
    3. Apply a correction to reduce the inflation (scaling_factor > 1.0) when applied to large anomalies or short hindcast periods (shorter than 20 years):
                 norm_anom = realtime_fcst_anom / sqrt(hvar)
           hclength_factor = 2.0 * min(1.0, sqrt(hclength/20))
           corrected_scaling_factor = (1.0+(scaling_factor-1.0)*exp(-norm_anom*norm_anom/(2*hclenghthclength_factor*hclength_factor)))

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