R: Correlation skill analysis for ensemble forecasts

EnsCorr {SpecsVerification} | R Documentation

## Correlation skill analysis for ensemble forecasts

### 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)

[Package SpecsVerification version 0.5-3 Index]