cmsafops (version 1.3.0)

mondaymean: Determine mean monthly daily variations

Description

The function determines mean monthly daily variations values from data of a single CM SAF NetCDF input file. This function is applicable to 3-dimensional NetCDF data.

Usage

mondaymean(
  var,
  infile,
  outfile,
  nc34 = 4,
  overwrite = FALSE,
  verbose = FALSE,
  nc = NULL
)

Value

A NetCDF file including a time series of mean monthly daily variations is written.

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).

See Also

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

Examples

# \donttest{
## 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: 

library(ncdf4)

lon <- seq(5, 8, 0.5)
lat <- seq(45, 48, 0.5)
time <- seq(ISOdate(2000, 3, 1), ISOdate(2000, 5, 31), "hours")
origin <- format("1983-01-01 00:00:00")
time <- as.numeric(difftime(time, origin, units = "hour"))
data <- array(250:272, dim = c(7, 7, 2185))

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), -999, prec = "short",
                longname = "Surface Incoming Shortwave Radiation")
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")
ncatt_put(ncnew, "SIS", "standard_name", "SIS_standard", prec = "text")
nc_close(ncnew)

## Determine the mean monthly daily variations of the example CM SAF NetCDF file and
## write the output to a new file.
mondaymean(var = "SIS", infile = file.path(tempdir(), "CMSAF_example_file.nc"), 
 outfile = file.path(tempdir(), "CMSAF_example_file_mondaymean.nc"))

unlink(c(file.path(tempdir(),"CMSAF_example_file.nc"), 
 file.path(tempdir(),"CMSAF_example_file_mondaymean.nc")))
 # }