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 |
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)