Function for plotting time series for gcms or compiled ensemble

Usage

plot_ensemble(
  x,
  var,
  scenarios.selected,
  scenarios,
  showrange = TRUE,
  simplify = TRUE,
  gcm = NULL,
  pal,
  pal.scenario,
  pal.gcms,
  refline = FALSE,
  showmean = TRUE,
  endlabel = "change",
  element,
  compile = TRUE,
  var2 = NULL,
  element1,
  element2,
  yeartime.names,
  yeartimes,
  yeartime
)

Arguments

x: climate data
var: TODO
scenarios.selected: TODO
scenarios: TODO
showrange: logical. Plot a shaded region indicating the minimum and maximum of the selected ensemble of GCM simulations for each selected scenario.
simplify: logical. Simplify the ensemble range and mean using a smoothing spline.
gcm: TODO
pal: character. color palette. Options are "scenario", for use when comparing scenarios, and "gcms", for use when comparing GCMs.
pal.scenario: TODO
pal.gcms: TODO
refline: logical. Plot the 1961-1990 reference period mean for the selected var and extend this line to the year 2100 as a visual reference.
showmean: logical. Plot the ensemble mean time series. Multi-model ensemble means are calculated from the mean of simulations for each model.
endlabel: character. Add a label to the end of each simulated time series. Options are "change", to indicate the change in year 2100 relative to the 1961-1990 baseline, or "gcms" to indicate the global climate model.
element: TODO
compile: logical. Compile multiple global climate models into a multi-model ensemble. If FALSE the single-model ensembles are plotted individually.
var2: character. A second climate var to plot in combination with var1. options are list_vars().
element1: TODO
element2: TODO
yeartime.names: TODO
yeartimes: TODO
yeartime: TODO