Zonal mean plots of AMBER results (bias, bias scores, etc)
This function computes zonal mean values of model and reference data and the zonal mean bias, centralized root-mean-squre error, phase, inter-annual variability, and corresponding scores. The computation is based on the NetCDF files produced by scores.grid.time.
zonalMeanStats(inputDir, outputDir = FALSE)
inputDir |
A string that gives the location of NetCDF files produced by scores.grid.time and scores.grid.notime, e.g. '/home/project/study'. |
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. |
A list with two tables. The first table gives the zonal mean values of the mean, bias, standard deviation, centralized root-mean-squre error, month of seasonal peak, phase, inter-annual variability, and corresponding scores for each variable and globally gridded reference data set. The second table gives the physical units of each variable in LaTeX notation (e.g. 'W m$^-2$'). Both tables are written to two text files (zonalMeanStats and zonalMeanStatsUnits) if the user specifies an output directory.
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)
inputDir <- paste(system.file('extdata', package = 'amber'), 'zonalMeanStats', sep = '/')
zonalMeanStats(inputDir, outputDir = FALSE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.