| EnsError {easyVerification} | R Documentation |
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).
EnsError(ens, obs, type) EnsMe(ens, obs) EnsMae(ens, obs) EnsMse(ens, obs) EnsRmse(ens, obs)
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] |
#forecast and observations tm <- toymodel() # compute the mean bias EnsError(tm$fcst, tm$obs, type='me') # equivalently EnsMe(tm$fcst, tm$obs)