LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. LOCA has been used to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/.
Usage
getLOCA(
AOI,
varname,
model = "CCSM4",
scenario = "rcp45",
startDate,
endDate = NULL,
verbose = FALSE,
ID = NULL,
dryrun = FALSE
)Arguments
- AOI
an sf of SpatVect point or polygon to extract data for
- varname
variable name to extract (e.g. tmin)
- model
GCM model name generating
- scenario
A climate or modeling scenario
- startDate
a start date given as "YYYY-MM-DD" to extract data for
- endDate
an end date given as "YYYY-MM-DD" to extract data for
- verbose
Should messages be emited?
- ID
a column of unique identifiers
- dryrun
Return summary of data prior to retrieving it
Value
if AOI is polygon a list of SpatRasters, if AOI is a point then a data.frame of modeled records.
See also
Other shortcuts:
get3DEP(),
getBCCA(),
getCHIRPS(),
getDaymet(),
getGLDAS(),
getGridMET(),
getISRIC_soils(),
getLCMAP(),
getLOCA_hydro(),
getLivneh_fluxes(),
getLivneh(),
getMACA(),
getMODIS(),
getNASADEM(),
getNLCD(),
getNLDAS(),
getPRISM(),
getTerraClimNormals(),
getTerraClim(),
getVIC(),
getWorldClim()