upscale_chirps: Upscales monthly CHIRPS data to a coarser grid

In SeaVal: Validation of Seasonal Weather Forecasts

Upscales monthly CHIRPS data to a coarser grid

Description

this is mostly auxiliary and called from download_chirps_monthly. Uses the function upscale_regular_lon_lat, but derives the weights for upscaling only once for efficiency and avoids simultaneous loading of all CHIRPS data.

Usage

upscale_chirps(
  update = TRUE,
  years = NULL,
  months = NULL,
  upscale_grid = data.table(expand.grid(lon = seq(GHA_extent()[1], GHA_extent()[2], 0.5),
    lat = seq(GHA_extent()[3], GHA_extent()[4], 0.5))),
  root_dir = NULL,
  version = "UCSB",
  us_dir = file.path(root_dir, "upscaled")
)

Arguments

update	Logical, if TRUE, files that have already been upscaled are skipped
years, months	Which years and months do you want to upscale? NULL upscales everything there is (except if update is TRUE).
upscale_grid	A regular lon/lat grid for upscaling. Defaults to half degrees.
root_dir	directory where the high-resolution file is stored.
version	Version specifier, should be 'UCSB' or 'ICPAC'. The latter only works if you have access to CHIRPS blended.
us_dir	Directory where the low-resolution file will be stored.

Value

Nothing.

Examples

if(interactive()){
upscale_chirps()
}

SeaVal documentation built on June 24, 2024, 5:15 p.m.