EnsIgn: Ignorance Score

In easyVerification: Ensemble Forecast Verification for Large Data Sets

Ignorance Score

Description

Computes the ignorance score EnsIgn and skill score EnsIgnss for an interpretation of the ensemble as a probability forecast

Usage

EnsIgn(ens, obs, type = 3, ...)

EnsIgnss(ens, ens.ref, obs, type = 3)

Arguments

ens	n x j matrix of n probability forecasts for j categories
obs	n x j matrix of occurence of n verifying observations in j categories
type	selection of plotting positions to convert ensemble counts to probabilities (default to 3, see count2prob
...	additional arguments for consistency with other functions (not used)
ens.ref	n x j matrix of n probability forecasts for j categories

References

Wilks, D.S. (2011). Statistical methods in the atmospheric sciences (Third Edition). Academic press. Jolliffe, I.T. and D.B. Stephenson (2012). Forecast Verification. A Practitioner's Guide in Atmospheric Science. Wiley-Blackwell.

See Also

veriApply, count2prob

Examples

tm <- toymodel()

## compute ignorance score for tercile forecasts
veriApply("EnsIgn", fcst = tm$fcst, obs = tm$obs, prob = 1:2 / 3)

## compute skill score
veriApply("EnsIgnss", fcst = tm$fcst, obs = tm$obs, prob = 1:2 / 3)

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