An ensembleData object that includes ensemble
forecasts, verification observations and possibly dates.
Missing values (indicated by NA) are allowed.
This need not be the data used for the model fit,
although it must include the same ensemble members.
quantiles
The vector of desired quantiles for the PDF of the EMOS model.
dates
The dates for which the quantile forecasts will be computed.
These dates must be consistent with fit and
ensembleData.
The default is to use all of the dates in fit.
If ensembleData does not include dates, they will
be inferred from fit and dates.
...
Included for generic function compatibility.
Details
This method is generic, and can be applied to any ensemble forecasting
model.
Note the model may have been applied to a power transformation of the
data, but that information is included in the input fit, and
the output is transformed appropriately.
This can be used to compute prediction intervals for the PDF.
Value
A matrix of forecasts corresponding to the desired quantiles.
References
T. Gneiting, A. E. Raftery, A. H. Westveld and T. Goldman,
Calibrated probabilistic forecasting using ensemble model output
statistics and minimum CRPS estimation.
Monthly Weather Review 133:1098–1118, 2005.