cefa_load: Load FW13 RAWS timeseries object from a local directory

In MazamaScience/RAWSmet: Download and Process data from Remote Automatic Weather Stations

Load FW13 RAWS timeseries object from a local directory

Description

Loads FW13 station metadata and data from the rawsDataDir. If the data is not in this directory, this will download and save the data.

Usage

cefa_load(
  nwsID = NULL,
  meta = NULL,
  newDownload = NA,
  baseUrl = "https://cefa.dri.edu/raws/fw13/",
  verbose = TRUE
)

Arguments

nwsID	NWS RAWS station identifier.
meta	Tibble of FW13 station metadata.
newDownload	Logical flag specifying whether or not to download and override existing data.
baseUrl	Base URL for data queries.
verbose	Logical flag controlling detailed progress statements.

Value

Timeseries object with 'meta' and 'data'.

Note

The 'newDownload' parameter has three possible settings:

• NA – Download data if it is not found in rawsDataDir

• TRUE – Always download data, overwriting existing data in rawsDataDir. This is useful for updating data files with more recent data.

• FALSE – Never download data. This is useful when working with wrcc_loadMultiple and archival data to avoid continually requesting data for stations which have no data over a particular time period.

References

Program for Climate, Ecosystem and Fire Applications

See Also

cefa_createRawsObject

setRawsDataDir

Examples

## Not run: 
# Fail gracefully if any resources are not available
try({

# For creation of metadata
library(MazamaSpatialUtils)
setSpatialDataDir("~/Data/Spatial")
loadSpatialData("NaturalEarthAdm1.rda")

library(RAWSmet)
setRawsDataDir("~/Data/RAWS")

meta <- cefa_loadMeta()

rawsObject <- cefa_load(nwsID = 451702, meta = meta)
head(rawsObject$data)

}, silent = FALSE)

## End(Not run)

MazamaScience/RAWSmet documentation built on May 6, 2023, 6:57 a.m.