SpecsVerification (version 0.4-1)

PlotDressedEns: Plot a series forecast distributions of dressed ensembles

Description

The forecast distribution of a series of dressed ensemble forecasts is calculated and plotted as polygons over time. A number of options is available to add diagnostic information to the plot.

Usage

PlotDressedEns(dressed.ens, add=FALSE, obs=NULL, plot.ens=FALSE, plot.ker=FALSE)

Arguments

dressed.ens

An object of class `dressed.ens`. See ?DressEnsemble for details.

add

logical, default=FALSE. If TRUE, no new plotting device is created and everything is added to an existing device.

obs

A vector of length N, default=NULL. The verifying observations corresponding to the individual ensemble forecasts. If a vector of length N is provided (N = nrow(dressed.ens[["ens"]]), the values are added to the plot as markers.

plot.ens

logical, default=FALSE. If TRUE, the centers of the individual dressing kernels are indicated by markers.

plot.ker

logical, default=FALSE. If TRUE, the individual dressing kernels are plotted.

Value

none

Examples

  # Example:
  ens <- matrix(rnorm(20),4,5)
  obs <- rnorm(4)
  d.ens <- DressEnsemble(ens)
  PlotDressedEns(d.ens, add=FALSE, obs=obs, plot.ens=FALSE, plot.ker=TRUE)