weisheimer: Compute Reliability Categories as in Weisheimer et al. (2014)

In easyVerification: Ensemble Forecast Verification for Large Data Sets

Compute Reliability Categories as in Weisheimer et al. (2014)

Description

This function implements the reliability categorisation for forecasts of binary events as documented in Weisheimer et al. (2014). It has only been implemented for category forecasts with categories defined relative to the forecast and observed climatological distribution (i.e. without systematic bias).

Usage

weisheimer(
  ens,
  obs,
  pthresh = 2/3,
  nboot = 100,
  brier.thresholds = seq(0, 1, 0.2),
  ...
)

Arguments

ens	n x k matrix of n forecasts from k ensemble members
obs	n verifying observations
pthresh	probability threshold to convert to category forecasts. If negative, event falling below threshold is used, else, event above threshold is used.
nboot	number of bootstrap replicates to estimate 75 percent confidence interval
brier.thresholds	Thresholds used to bin the forecasts (see brier)
...	additional arguments for compatibility with other scores

easyVerification documentation built on Aug. 15, 2023, 9:06 a.m.