verifySpreadSkill: RAnEnExtra::verifySpreadSkill
In Weiming-Hu/RAnEnExtra: Extra functions for RAnEn

Description Usage Arguments Details Author(s)

RAnEnExtra::verifySpreadSkill calculates the spread skill correlation between ensemble variance and squared error. Read details for caveats.

verifySpreadSkill(
  anen.ver,
  obs.ver,
  boot = F,
  R = 1000,
  na.rm = T,
  keep.cor = F
)

`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`.
`na.rm`	Whether to remove NA values.
`keep.cor`	Whether to keep all spread and errors.

Spread skill correlation without normalization or binning has several caveats during its interpretation. Please make sure you have read through several materials before applying this verification technique. Alternatively, RAnEn::verifyBinnedSpreadSkill is an improved version of this function.

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

Weiming Hu weiming@psu.edu

Weiming-Hu/RAnEnExtra documentation built on Sept. 26, 2021, 6:44 a.m.