s2dverification (version 2.5.0)

ProbBins: Computes probabilistic information of a forecast relative to a threshold or a quantile.

Description

Compute probabilistic bins of a forecast year (fcyr) relative to the forecast climatology over the whole period of anomalies excluding the selected forecast year (fcyr).

Usage

ProbBins(ano, fcyr, thr, quantile=TRUE, posdates=3, posdim=2, 
         compPeriod = "Full period")

Value

Matrix with probabilistic information and dimensions: c(length(thr+1), nfcyr ,nmemb/nparam, nmod/nexp/nobs, nfcyr, nltime, nlat, nlon)

Examples

# See examples on Load() to understand the first lines in this example
  configfile <- paste0(tempdir(), '/sample.conf')
ConfigFileCreate(configfile, confirm = FALSE)
c <- ConfigFileOpen(configfile)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MIN', '-1e19', confirm = FALSE)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MAX', '1e19', confirm = FALSE)
data_path <- system.file('sample_data', package = 's2dverification')
exp_data_path <- paste0(data_path, '/model/$EXP_NAME$/')
obs_data_path <- paste0(data_path, '/$OBS_NAME$/')
c <- ConfigAddEntry(c, 'experiments', dataset_name = 'experiment', 
     var_name = 'tos', main_path = exp_data_path,
     file_path = '$STORE_FREQ$_mean/$VAR_NAME$_3hourly/$VAR_NAME$_$START_DATE$.nc')
c <- ConfigAddEntry(c, 'observations', dataset_name = 'observation', 
     var_name = 'tos', main_path = obs_data_path,
     file_path = '$STORE_FREQ$_mean/$VAR_NAME$/$VAR_NAME$_$YEAR$$MONTH$.nc')
ConfigFileSave(c, configfile, confirm = FALSE)

# Now we are ready to use Load().
startDates <- c('19851101', '19901101', '19951101', '20001101', '20051101')
sampleData <- Load('tos', c('experiment'), c('observation'), startDates, 
                   output = 'lonlat', latmin = 27, latmax = 48, lonmin = -12,
                   lonmax = 40, configfile = configfile)
  startDates <- c('19851101', '19901101', '19951101', '20001101', '20051101')
sampleData <- s2dverification:::.LoadSampleData('tos', c('experiment'), 
                                                c('observation'), startDates,
                                                output = 'lonlat', 
                                                latmin = 27, latmax = 48, 
                                                lonmin = -12, lonmax = 40)
clim <- Clim(sampleMap$mod, sampleMap$obs)
ano_exp <- Ano(sampleMap$mod, clim$clim_exp)
PB <- ProbBins(ano_exp, fcyr = 3, thr = c(1/3, 2/3), quantile = TRUE, posdates = 3,
posdim = 2)