EnsError: Ensemble Mean Error

In easyVerification: Ensemble Forecast Verification for Large Data Sets

Ensemble Mean Error

Description

Computes various ensemble mean error scores. EnsMe computes the mean error, EnsMae the mean absolute error, EnsMse the mean squared error, and EnsRmse the square root of the mean squared error (for consistency with the veri package).

Usage

EnsError(ens, obs, type)

EnsMe(ens, obs)

EnsMae(ens, obs)

EnsMse(ens, obs)

EnsRmse(ens, obs)

Arguments

ens	n x k matrix of n forecasts from k ensemble members
obs	n verifying observations
type	specifying what error metric to compute, one of [me, mae, mse, rmse]

See Also

veriApply, EnsErrorss

Examples

# forecast and observations
tm <- toymodel()

# compute the mean bias
EnsError(tm$fcst, tm$obs, type = "me")
# equivalently
EnsMe(tm$fcst, tm$obs)

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