downscale: Downscale monthly climate data to 30 arcseconds using...

In cszang/clex: Statistical downscaling of monthly climate data

Description

Currently, CRU TS 4.01 is supported out of the box; for E-OBS > 18e, NetCDF files with monthly resolution have to be produced first, e.g. using CDO commands.

Usage

downscale(
  x,
  nc_path,
  wc_dir,
  varname,
  mode = "auto",
  id = "id",
  parallel = TRUE,
  use_chelsa = FALSE,
  wc_bilinear = FALSE,
  verbose = TRUE
)

Arguments

x	a data.frame with at least id, lon, and lat
nc_path	absolute path to the NetCDF file with monthly climate data
wc_dir	absolute path to the WorldClim v2.0 TIF files for the respective climate parameter
varname	the name of the climate variable in the NetCDF file
mode	either "auto", or one of "temp" or "prec"
id	character string indicating name of column in x that holds unique location ids
parallel	if TRUE (default), some parts of the code are run in parallel for speed gain
use_chelsa	if TRUE, use CHELSA data instead of WorldClim for downscaling
wc_bilinear	if TRUE, bilinearly interpolate worldclim data as well

Value

a tidy data.frame with id, year, month, and the extracted climate variable

References

Mosier, T. M., Hill, D. F., & Sharp, K. V. (2014). 30-Arcsecond monthly climate surfaces with global land coverage. International Journal of Climatology, 34(7), 2175–2188. https://doi.org/10.1002/joc.3829

cszang/clex documentation built on Sept. 27, 2020, 2:42 p.m.