This function creates a timeseries discrete sampling geometry NetCDF file. It uses the orthogonal array encoding to write one data.frame per function call. This encoding is best suited to data with the same number of timesteps per instance (e.g. geometry or station).

write_timeseries_dsg(
nc_file,
instance_names,
lats,
lons,
times,
data,
alts = NA,
data_unit = "",
data_prec = "double",
data_metadata = list(name = "data", long_name = "unnamed data"),
time_units = "days since 1970-01-01 00:00:00",
coordvar_long_names = list(instance = "Station Names", time = "time of measurement",
lat = "latitude of the measurement", lon = "longitude of the measurement", alt =
"altitude of the measurement"),
attributes = list(),
overwrite = FALSE
)

## Arguments

nc_file character file path to the nc file to be created. character or numeric vector of names for each instance (e.g. station or geometry) to be added to the file. numeric vector of latitudes numeric vector of longitudes POSIXct vector of times. Must be of type POSIXct or an attempt to convert it will be made using as.POSIXct(times). data.frame with each column corresponding to an instance. Rows correspond to time steps. nrow must be the same length as times. Column names must match instance names. numeric vector of altitudes (m above sea level) (Optional) character vector of data units. Length must be the same as number of columns in data parameter. character precision of observation data in NetCDF file. Valid options: 'short' 'integer' 'float' 'double' 'char'. list A named list of strings: list(name='ShortVarName', long_name='A Long Name') character units string in udunits format to use for time. Defaults to 'days since 1970-01-01 00:00:00' list values for long names on coordinate variables. Names should be instance, time, lat, lon, and alt. list An optional list of attributes that will be added at the global level. See details for useful attributes. boolean` If TRUE and the file already exists, variables will be added to the existing file. See details for more. boolean error if file exists.

## Details

Suggested Global Variables: c(title = "title", abstract = "history", provider site = "institution", provider name ="source", description = "description")

Note regarding add_to_existing: add_to_existing = TRUE should only be used to add variables to an existing NetCDF discrete sampling geometry file. All other inputs should be the same as are already in the file. If the functions is called with add_to_existing=FALSE (the default), it will overwrite an existing file with the same name. The expected usage is to call this function repeatedly only changing the data, data_unit, data_prec and data_metadata inputs.