s2dverification (version 2.4.0)

Histo2Hindcast: Chunks Long Simulations For Comparison With Hindcasts

Description

This function reorganizes a long run (historical typically) with only one start date into chunks corresponding to a set of start dates. The expected input structure is the one output from Load() with 4 to 7 dimensions.

Usage

Histo2Hindcast(varin, sdatesin, sdatesout, nleadtimesout)

Value

A matrix with the same number of dimensions as the input one, the same dimensions 1 and 2 and potentially the same dimensions 5 to 7. Dimensions 3 and 4 are set by the arguments sdatesout and nleadtimesout.

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_GRID', 'r20x10', confirm = FALSE)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MIN', '-1e19', confirm = FALSE)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MAX', '1e19', confirm = FALSE)
c <- ConfigAddVar(c, '2d', 'tos')
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', 'file-per-startdate',
     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', 'file-per-month',
     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('19901101')
sampleData <- Load('tos', c('experiment'), c('observation'), startDates,
                   leadtimemin = 1, leadtimemax = 4, output = 'areave',
                   latmin = 27, latmax = 48, lonmin = -12, lonmax = 40,
                   configfile = configfile)
  startDates <- c('19901101')
sampleData <- s2dverification:::.LoadSampleData('tos', c('experiment'),
                                                c('observation'), startDates,
                                                leadtimemin = 1,
                                                leadtimemax = 4,
                                                output = 'areave',
                                                latmin = 27, latmax = 48,
                                                lonmin = -12, lonmax = 40)


start_dates_out <- c('19901101', '19911101', '19921101', '19931101', '19941101')
leadtimes_per_startdate <- 12
experimental_data <- Histo2Hindcast(sampleData$mod, startDates[1], 
                                    start_dates_out, leadtimes_per_startdate)
observational_data <- Histo2Hindcast(sampleData$obs, startDates[1], 
                                     start_dates_out, leadtimes_per_startdate)
PlotAno(experimental_data, observational_data, start_dates_out, 
        toptitle = paste('anomalies reorganized into shorter chunks'), 
        ytitle = 'K', fileout='tos_histo2hindcast.eps')