EnsCorr: Correlation skill analysis for ensemble forecasts

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

Description

Calculate correlation between forecasts and observations for an ensemble forecast, including an adjustment for finite ensemble sizes

Usage

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

Arguments

ens	a N*R matrix representing N time instances of real-valued R-member ensemble forecasts
obs	a numeric vector of length N with real-valued observations
R.new	positive number, can be Inf, ensemble size for which correlation skill should be estimated, default is NA for using the actual size R of the ensemble

Value

A vector with 4 entries:

• cmy: Correlation skill of the ensemble mean forecast

• cmy_adj: Correlation skill of the ensemble mean forecast adjusted to ensemble size R.new

• cxx: Average correlation between ensemble members

• cxy: Average correlation between individual ensemble members and observation

References

Von Storch, Zwiers (2001): Statistical analysis in climate research. Cambridge University Press.

Murphy (1990), Assessment of the practical utility of extended range ensemble forecasts, Q. J. R. Meteorol. Soc., 116, 89–125.

See Also

Corr, CorrDiff

Examples

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

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