EnsQs: Calculate the ensemble-adjusted Quadratic Score (QS) for...

In sieste/SpecsVerification: Forecast Verification Routines for Ensemble Forecasts of Weather and Climate

Description

Calculate the ensemble-adjusted Quadratic Score (QS) for categorical forecasts

Usage

EnsQs(ens, obs, R.new = NA)

FairQs(ens, obs)

Arguments

ens	a N*R matrix of integers, representing N time instances of categorical ensemble forecasts; ens[t,r] indicates the category index that the r-th ensemble member forecasts at time t
obs	a vector of length N, obs[t] is the category that occurred at time t
R.new	ensemble size for which the scores should be adjusted

Details

'FairQs(ens, obs)' returns 'EnsQs(ens, obs, R.new=Inf)'

It is assumed that the smallest class index is 1, and the largest class index is calculated by max(c(ens,obs))

Value

numeric vector of length N with the ensemble-adjusted quadratic score values

See Also

EnsBrier, EnsRps, EnsCrps, ScoreDiff, SkillScore

Examples

data(eurotempforecast)
EnsQs(ens.cat, obs.cat, R.new=Inf)

sieste/SpecsVerification documentation built on May 29, 2019, 9:59 p.m.