RAnEn::verifySpreadSkill calculates the binned spread skill correlation between ensemble spread and error.

verifyBinnedSpreadSkill(
  anen.ver,
  obs.ver,
  boot = F,
  R = 1000,
  intervals = 13,
  na.rm = T
)

Arguments

anen.ver

A 4-dimensional array. This array is usually created from the value column of the analogs member in the results of RAnEn::generateAnalogs. The dimensions should be [stations, times, lead times, members].

obs.ver

A 3-dimensional array. The dimensions should be [stations, times, lead times]. You can generate the array using RAnEn::alignObservations.

boot

Whether to use bootstrap.

R

The number of bootstrap replicates. Used by the function boot::boot.

intervals

The number of entries of days and lead times in each calculation iteration.

na.rm

Whether to remove NA values.

Details

Bootstrap confidence interval is defaulted to 0.95. To change this, use options(RAnEnExtra_boot_conf = 0.9).