mon.anomaly: Determine monthly anomalies

In cmsafops: Tools for CM SAF NetCDF Data

Determine monthly anomalies

Description

The function subtracts from each timestep of a time series the corresponding multi-year monthly mean. To get monthly anomalies, the input file should contain monthly mean values.

Usage

mon.anomaly(
  var,
  infile,
  outfile,
  nc34 = 4,
  overwrite = FALSE,
  verbose = FALSE,
  nc = NULL
)

Arguments

var	Name of NetCDF variable (character).
infile	Filename of input NetCDF file. This may include the directory (character).
outfile	Filename of output NetCDF file. This may include the directory (character).
nc34	NetCDF version of output file. If nc34 = 3 the output file will be in NetCDFv3 format (numeric). Default output is NetCDFv4.
overwrite	logical; should existing output file be overwritten?
verbose	logical; if TRUE, progress messages are shown
nc	Alternatively to infile you can specify the input as an object of class ncdf4 (as returned from ncdf4::nc_open).

Value

A NetCDF file including a time series of differences is written.

See Also

Other monthly statistics: mon_num_above(), mon_num_below(), mon_num_equal(), monavg(), mondaymean(), monmax(), monmean(), monmin(), monpctl(), monsd(), monsum(), monvar(), multimonmean(), multimonsum(), ymonmax(), ymonmean(), ymonmin(), ymonsd(), ymonsum()

Examples

## 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(10, 15, 0.5)
lat <- seq(50, 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(11, 11, 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(file.path(tempdir(),"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 monthly anomalies of the example CM SAF NetCDF file and
## write the output to a new file.
mon.anomaly(var = "SIS", infile = file.path(tempdir(),"CMSAF_example_file.nc"),
 outfile = file.path(tempdir(),"CMSAF_example_file_mon.anomaly.nc"))

unlink(c(file.path(tempdir(),"CMSAF_example_file.nc"), 
 file.path(tempdir(),"CMSAF_example_file_mon.anomaly.nc")))

cmsafops documentation built on Sept. 18, 2023, 5:16 p.m.