The function determines a given percentile over all timesteps from data of a single CM SAF NetCDF input file.
timpctl(var, p, infile, outfile, nc34)
Name of NetCDF variable (character).
Percentile number given as probability within [0,1] (numeric). Default is 0.95.
Filename of input NetCDF file. This may include the directory (character).
Filename of output NetCDF file. This may include the directory (character)..
NetCDF version of output file. If nc34=4 the output file will be in NetCDFv4 format (numeric). Default output is NetCDFv3.
A NetCDF file including a timeseries of all-time seasonal standard deviations is written.
# NOT RUN {
## Create an example NetCDF file with a similar structure
## as used by CM SAF. The file is created with the ncdf4 package.
## Alternatively example data can be freely downloaded here:
## <https://wui.cmsaf.eu/>
library(ncdf4)
## create some (non-realistic) example data
lon <- seq(5,15,0.5)
lat <- seq(45,55,0.5)
time <- seq(as.Date('2000-01-01'), as.Date('2010-12-31'), 'month')
origin <- as.Date('1983-01-01 00:00:00')
time <- as.numeric(difftime(time,origin,units='hour'))
data <- array(250:350,dim=c(21,21,132))
## create example NetCDF
x <- ncdim_def(name='lon',units='degrees_east',vals=lon)
y <- ncdim_def(name='lat',units='degrees_north',vals=lat)
t <- ncdim_def(name='time',units='hours since 1983-01-01 00:00:00',
vals=time,unlim=TRUE)
var1 <- ncvar_def('SIS','W m-2',list(x,y,t),-1,prec='short')
vars <- list(var1)
ncnew <- nc_create('CMSAF_example_file.nc',vars)
ncvar_put(ncnew,var1,data)
ncatt_put(ncnew,'lon','standard_name','longitude',prec='text')
ncatt_put(ncnew,'lat','standard_name','latitude',prec='text')
nc_close(ncnew)
## Determine the 90% percentile of the example CM SAF
## NetCDF file and write the output to a new file.
timpctl('SIS', 0.9,'CMSAF_example_file.nc', 'CMSAF_example_file_timsd.nc')
# }
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