Models upload (only works from the University of Cantabria Jupyter HUB environment)
load_data_hub.Rd
Automatically upload databases available at UC servers
Usage
load_data_hub(
database = "CORDEX-CORE",
country,
variable,
xlim = NULL,
ylim = NULL,
years.hist = NULL,
years.proj,
path.to.obs = NULL,
buffer = 0,
domain = NULL,
aggr.m = "none",
n.sessions = 6,
years.obs = NULL
)
Arguments
- database
character, indicating the database of interest (default to CORDEX-CORE).
- country
character, in English, indicating the country of interest or an object of class sf. To select a bounding box, set country to NULL and define arguments xlim and ylim
- variable
character indicating the variable name
- xlim
numeric of length = 2, with minimum and maximum longitude coordinates, in decimal degrees, of the bounding box of interest
- ylim
same as xlim, but for the selection of the latitudinal range
- years.hist
numeric, specify year range for the historical experiment
- years.proj
numeric, specify year range for projections
- path.to.obs
character, default to NULL. To automatically load W5E5 or ERA5, specify W5E5 or ERA5.
- buffer
numeric, default is zero.
- domain
charachter, specify the CORDEX-CORE domain (e.g AFR-22, EAS-22).
- aggr.m
character, monthly aggregation. One of none, mean or sum
- n.sessions
numeric, number of sessions to use in parallel processing. Default to 6. Increasing the number of sessions will not necessarily results in better performances. Leave as default unless necessary
- years.obs
NULL or numeric, specify year range for observation. Specifying years.obs will overwrite years.hist for observations