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",
  instance_dim_name = "instance",
  dsg_timeseries_id = "instance_name",
  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(),
  add_to_existing = FALSE,
  overwrite = FALSE
)

Arguments

nc_file

character file path to the nc file to be created.

instance_names

character or numeric vector of names for each instance (e.g. station or geometry) to be added to the file.

lats

numeric vector of latitudes

lons

numeric vector of longitudes

times

POSIXct vector of times. Must be of type POSIXct or an attempt to convert it will be made using as.POSIXct(times).

data

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.

alts

numeric vector of altitudes (m above sea level) (Optional)

data_unit

character vector of data units. Length must be the same as number of columns in data parameter.

data_prec

character precision of observation data in NetCDF file. Valid options: 'short' 'integer' 'float' 'double' 'char'.

data_metadata

list A named list of strings: list(name='ShortVarName', long_name='A Long Name')

time_units

character units string in udunits format to use for time. Defaults to 'days since 1970-01-01 00:00:00'

instance_dim_name

the character name to use for the instance used in `instance_names`

dsg_timeseries_id

the character name to use for the instance used in the timeseries id

coordvar_long_names

list values for long names on coordinate variables. Names should be `instance`, time`, `lat`, `lon`, and `alt.`

attributes

list An optional list of attributes that will be added at the global level. See details for useful attributes.

add_to_existing

boolean If TRUE and the file already exists, variables will be added to the existing file. See details for more.

overwrite

boolean unless set to true, 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.

See the timeseries vignette for more information.