get_chelsa: Get bioclimatic layers from CHELSA

Source: R/get_chelsa.R

Get bioclimatic layers from CHELSA for present and future scenarios

get_chelsa(
  period,
  model = NULL,
  rcp = NULL,
  sv_dir = getwd(),
  load2r = TRUE,
  parallel = TRUE
)

Arguments

period

Time period. Posible values are: "current","2041-2060","2061-2080"
model

Circulation model. Posible values are:'ACCESS1-0', 'bcc-csm1-1', 'BNU-ESM', 'CanESM2','CCSM4','CESM1-BGC','CESM1-CAM5', 'CMCC-CM','CMCC-CMS','CNRM-CM5','CSIRO-Mk3-6-0','FGOALS-g2', 'FIO-ESM',GFDL-CM3','GFDL-ESM2G','GFDL-ESM2M','GISS-E2-H', 'GISS-E2-H-CC','GISS-E2-R','GISS-E2-R-CC','HadGEM2-AO', 'HadGEM2-CC','inmcm4','IPSL-CM5A-LR','IPSL-CM5A-MR','MIROC-ESM', 'MIROC-ESM-CHEM','MIROC5','MPI-ESM-LR','MPI-ESM-MR','MRI-CGCM3', 'MRI-ESM1','NorESM1-M'
rcp

Representative Concentration Pathway. Posible values are "rcp26","rcp45","rcp85".
sv_dir

Path to the directory where the layers will be saved. The default is the working directory of the R session.
load2r

Logical. Load layers into R?
parallel

Download layers in parallel.

Details

For more details visit http://chelsa-climate.org/

References

Karger, D.N., Conrad, O., Bohner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P. & Kessler, M. (2017) Climatologies at high resolution for the earth's land surface areas. Scientific Data 4, 170122.

See also

get_envirem_elev, get_envirem_clim,get_bio_oracle.

Examples

if (FALSE) {
chelsa_biocurrent <- get_chelsa(period = "current",
                                sv_dir = "~/Desktop")
chelsa_bioCCSM4 <- get_chelsa(period = "2041-2060",
                              model="CCSM4",
                              rcp="rcp85",
                              sv_dir = "~/Desktop")
}