getTerraClimNormals | R Documentation |
These layers from TerraClimate were creating using climatically aided interpolation of monthly anomalies from the CRU Ts4.0 and Japanese 55-year Reanalysis (JRA-55) datasets with WorldClim v2.0 climatologies.
getTerraClimNormals(
AOI,
varname,
scenario = "19812010",
month = 1:12,
verbose = FALSE,
ID = NULL,
dryrun = FALSE
)
AOI |
an sf of SpatVect point or polygon to extract data for |
varname |
variable name to extract (e.g. tmin) |
scenario |
A climate or modeling scenario |
month |
numeric. and month or vector of months to access. Default is 1:12 |
verbose |
Should messages be emited? |
ID |
a column of unique identifiers |
dryrun |
Return summary of data prior to retrieving it |
if AOI is polygon a list of SpatRasters, if AOI is a point then a data.frame of modeled records.
Other shortcuts:
get3DEP()
,
getBCCA()
,
getCABCM()
,
getCHIRPS()
,
getDaymet()
,
getGLDAS()
,
getGridMET()
,
getISRIC_soils()
,
getLCMAP()
,
getLOCA()
,
getLOCA_hydro()
,
getLivneh()
,
getLivneh_fluxes()
,
getMACA()
,
getMODIS()
,
getNASADEM()
,
getNLCD()
,
getNLDAS()
,
getPRISM()
,
getTerraClim()
,
getVIC()
,
getWorldClim()
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