Given the station identification number(s), this function retrieves data (time series in zoo format with accompanying metadata) from the WaterML2 service on the NRFA database. The time series can be of two types: cmr (catchment mean rainfall, monthly) or gdf (gauged daily flows, daily).

get_ts(
id,
type,
cl = NULL,
verbose = FALSE,
full_info = FALSE
)

## Arguments

id station identification number(s), each number should be in the range [3002,236051]. The following data-types are available: gdf = Gauged daily flows gmf = Gauged monthly flows ndf = Naturalised daily flows nmf = Naturalised monthly flows cdr = Catchment daily rainfall cdr-d = Catchment daily rainfall distance to rain gauge cmr = Catchment monthly rainfall pot-stage = Peaks over threshold stage pot-flow = Peaks over threshold flow gauging-stage = Gauging stage gauging-flow = Gauging flow amax-stage = Annual maxima stage amax-flow = Annual maxima flow Logical, FALSE by default. If metadata = TRUE means that the result for a single station is a list with two elements: data (the time series) and meta (metadata). (optional) This is a cluster object, created by the parallel package. This is set to NULL by default, which sends sequential calls to the server. (FALSE by default). If set to TRUE prints GET request on the console. Logical, FALSE by default. If full_info = TRUE, the function will retrieve info on rejected periods and return a data frame rather than a time series.

## Value

list composed of as many objects as in the list of station identification numbers. Each object can be accessed using their names or indexes (e.g. x[[1]], x[[2]], and so forth). Each object contains a time series of class zoo/xts.

Claudia Vitolo

## Examples

if (FALSE) {
get_ts(18019, type = "cmr")
get_ts(c(54022,54090,54091), type = "cmr")
get_ts(18019, type = "gdf")
get_ts(c(54022,54090,54091), type = "gdf")
plot(get_ts(id = 23001, type = "ndf"))
plot(get_ts(id = 23001, type = "nmf"))
}