conditional | R Documentation |
Compute calibration for biases that are conditional on ensemble mean forecast
conditional(...)
conditionalRecal(...)
... |
arguments passed to |
linmod
## initialise forcast observation pairs
seasonal <- sin(seq(0,4,length=215))
signal <- outer(seasonal, rnorm(30), '+')
fcst <- array(rnorm(215*30*51), c(215, 30, 15)) +
2*c(signal)
obs <- array(rnorm(215*30, mean=2), c(215, 30)) +
signal
fc.time <- outer(1:215, 1981:2010, function(x,y) as.Date(paste0(y, '-11-01')) - 1 + x)
fcst.debias <- biascorrection:::conditional(fcst[,1:20,],
obs[,1:20], fcst.out=fcst, fc.time=fc.time[,1:20], fcout.time=fc.time, span=0.5)
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