zonalMean: Zonal mean plots of model and reference data
In amber: Automated Model Benchmarking R Package

Description Usage Arguments Value Examples

This function plots zonal mean annual means and corresponding total range for model and reference data.

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zonalMean(long.name, nc.mod, nc.ref, mod.id, ref.id, unit.conv.mod,
  unit.conv.ref, variable.unit, outlier.factor = 1000, plot.width = 6,
  plot.height = 5, outputDir = FALSE, myLevel = 1, subcaption = "")

`long.name`	A string that gives the full name of the variable, e.g. 'Gross primary productivity'
`nc.mod`	A string that gives the path and name of the netcdf file that contains the model output, e.g. '/home/model_gpp.nc'
`nc.ref`	A string that gives the path and name of the netcdf file that contains the reference data output, e.g. '/home/reference_gpp.nc'
`mod.id`	A string that identifies the source of the reference data set, e.g. 'CLASSIC'
`ref.id`	A string that identifies the source of the reference data set, e.g. 'MODIS'
`unit.conv.mod`	A number that is used as a factor to convert the unit of the model data, e.g. 86400
`unit.conv.ref`	A number that is used as a factor to convert the unit of the reference data, e.g. 86400
`variable.unit`	A string that gives the final units using LaTeX notation, e.g. 'gC m$^-2$ day$^-1$'
`outlier.factor`	A number that is used to define outliers, e.g. 10. Plotting raster objects that contain extreme outliers lead to figures where most grid cells are presented by a single color since the color legend covers the entire range of values. To avoid this, the user may define outliers that will be masked out and marked with a red dot. Outliers are all values that exceed the interquartile range multiplied by the outlier factor defined here.
`plot.width`	Number that gives the plot width, e.g. 8
`plot.height`	Number that gives the plot height, e.g. 4
`outputDir`	A string that gives the output directory, e.g. '/home/project/study'. The output will only be written if the user specifies an output directory.
`myLevel`	A number that determines what level of the output netCDF file to use. This is relevant for files with multiple levels, which applies to soil data. By default, myLevel is set to 1.
`subcaption`	A string that defines the subcaption of the figure, e.g. '(a)'.

A figure in PDF format that gives the zonal mean values of model and reference data. The bold line presents the mean and the shaded area the corresponding interquartile range (IQR). The IQR presents the inter-annual variability and longitudinal variability, combined.

library(amber)
library(classInt)
library(doParallel)
library(foreach)
library(Hmisc)
library(latex2exp)
library(ncdf4)
library(parallel)
library(raster)
library(rgdal)
library(rgeos)
library(scico)
library(sp)
library(stats)
library(utils)
library(viridis)
library(xtable)

long.name <- 'Gross primary productivity'
nc.mod <- system.file('extdata/modelRegular', 'gpp_monthly.nc', package = 'amber')
nc.ref <- system.file('extdata/referenceRegular', 'gpp_GBAF_128x64.nc', package = 'amber')
mod.id <- 'CLASSIC' # define a model experiment ID
ref.id <- 'GBAF' # give reference dataset a name
unit.conv.mod <- 86400*1000 # optional unit conversion for model data
unit.conv.ref <- 86400*1000 # optional unit conversion for reference data
variable.unit <- 'gC m$^{-2}$ day$^{-1}$' # unit after conversion (LaTeX notation)
outlier.factor <- 1000

zonalMean(long.name, nc.mod, nc.ref, mod.id, ref.id, unit.conv.mod,
unit.conv.ref, variable.unit, outlier.factor)