get_chelsa | R Documentation |
Get bioclimatic layers from CHELSA for present and future scenarios
get_chelsa(
period,
model = NULL,
rcp = NULL,
sv_dir = getwd(),
load2r = TRUE,
parallel = TRUE
)
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. |
For more details visit http://chelsa-climate.org/
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.
get_envirem_elev
, get_envirem_clim
,get_bio_oracle
.
## Not run:
chelsa_biocurrent <- get_chelsa(period = "current",
sv_dir = "~/Desktop")
chelsa_bioCCSM4 <- get_chelsa(period = "2041-2060",
model="CCSM4",
rcp="rcp85",
sv_dir = "~/Desktop")
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.