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The download_gridmet function accesses and downloads gridded surface meteorological data from the University of California Merced Climatology Lab's gridMET dataset.

Usage

download_gridmet(
  variables = NULL,
  year = c(2018, 2022),
  directory_to_save = NULL,
  acknowledgement = FALSE,
  download = FALSE,
  remove_command = FALSE,
  hash = FALSE
)

Arguments

variables

character(1). Variable(s) name(s). See gridMET Generate Wget File for variable names and acronym codes. (Note: variable "Burning Index" has code "bi" and variable "Energy Release Component" has code "erc").

year

character(1 or 2). length of 4. Year or start/end years for downloading data.

directory_to_save

character(1). Directory(s) to save downloaded data files.

acknowledgement

logical(1). By setting TRUE the user acknowledges that the data downloaded using this function may be very large and use lots of machine storage and memory.

download

logical(1). FALSE will generate a *.txt file containing all download commands. By setting TRUE the function will download all of the requested data files.

remove_command

logical(1). Remove (TRUE) or keep (FALSE) the text file containing download commands.

hash

logical(1). By setting TRUE the function will return an rlang::hash_file() hash character corresponding to the downloaded files. Default is FALSE.

Value

  • For hash = FALSE, NULL

  • For hash = TRUE, an rlang::hash_file character.

  • netCDF (.nc) files will be stored in a variable-specific folder within directory_to_save.

References

article_abatzoglou2013developmentamadeus

Author

Mitchell Manware

Examples

download_gridmet(
  variables = "Precipitation",
  year = c(2023, 2023),
  directory_to_save = tempdir(),
  acknowledgement = TRUE,
  download = FALSE, # NOTE: download skipped for examples,
  remove_command = TRUE
)
#> Skipping data download.