Read skill scores to data frame
1 2 3 4 5 | read_scores(models = "ecmwf-system4", scores = c("EnsCorr", "FairRpss"),
indexes = "tas", methods = "none", initmonths = "05",
grids = "global2", granularities = "seasonal", obs = NA, periods = NA,
seasmethods = "none", detrends = FALSE, leads = 2, reference = NULL,
dpath = "/store/msclim/bhendj/EUPORIAS", cleanup = FALSE)
|
models |
character vector of the names of forecasting systems |
scores |
character vector of skill scores to be read |
indexes |
character vector of variable names |
methods |
character vector of bias correction methods |
initmonths |
character vector of initialization months |
grids |
character vector of grids |
granularities |
character vector of temporal resolutions |
obs |
character vector of verifying observations (e.g. ERA-INT) |
periods |
character of periods over which the verification has been carried out (e.g. 1981-2014) |
seasmethods |
logical should recalibrated indices be used? |
detrends |
logical should detrended series be used? |
leads |
index of lead times, or a character string specifying
what lead times to use (currently only |
reference |
name of reference model against which the forecast skill
is evaluated. If set to |
dpath |
head of directory tree |
cleanup |
logical, should only non-missing combinations be retained? |
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