Description:
  Author: nmilders
  Info: scorecards data

Analysis:
  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
  Variables:
    name: tas # Mandatory, str: tas prlr psl sfcWind
    freq: monthly_mean # Mandatory, str: either monthly_mean or daily_mean
  Datasets:
    System:
      name: ECMWF-SEAS5 # Mandatory ECMWF-SEAS5, CMCC-SPS3.5, DWD-GCFS2.1
    Multimodel: no # Mandatory, bool: Either yes/true or no/false
    Reference:
      name: ERA5 # Mandatory, str: Reference codename. See docu.
  Time:
    sdate: '0101' ## MMDD
    fcst_year:  # Optional, int: Forecast year 'YYYY'
    hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
    hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
    ftime_min: 1 # Mandatory, int: First leadtime time step in months 
    ftime_max: 6 # Mandatory, int: Last leadtime time step in months
  Region:
    latmin: -90 # Mandatory, int: minimum latitude
    latmax: 90 # Mandatory, int: maximum latitude
    lonmin: 0 # Mandatory, int: minimum longitude
    lonmax: 359.9 # Mandatory, int: maximum longitude
  Regrid:
    method: bilinear # conservative for prlr, bilinear for tas, psl, sfcWind
    type: to_system 
  Workflow:
    Calibration:
      method: raw # Mandatory, str: Calibration method. See docu.
      save: 'none'
    Anomalies:
      compute: yes
      cross_validation: yes 
      save: 'none'
    Skill:
      metric: mean_bias EnsCorr rps rpss crps crpss EnsSprErr # str: Skill metric or list of skill metrics. See docu.
      cross_validation: yes
      save: 'all'
    Probabilities:
      percentiles: [[1/3, 2/3]] # frac: Quantile thresholds.
      save: 'none'
    Indicators:
      index: no
    Scorecards:
      execute: yes # yes/no 
      regions:
        Extra-tropical NH:  {lon.min: 0,  lon.max: 360, lat.min: 30, lat.max: 90}
        Tropics: {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: 30}
        Extra-tropical SH : {lon.min: 0,  lon.max: 360, lat.min: -30, lat.max: -90}
      start_months: 'all'
      metric: mean_bias enscorr rpss crpss enssprerr
      metric_aggregation: 'score'
      inf_to_na: TRUE
      table_label: 
      fileout_label: 
      col1_width:
      col2_width: 
      calculate_diff: FALSE
  ncores: 7 # Optional, int: number of cores, defaults to 1
  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
  Output_format: Scorecards #S2S4E
Run:
  Loglevel: INFO
  Terminal: yes
  output_dir: /esarchive/scratch/nmilders/scorecards_data/new/to_system/cross_validation/all_cross_val/
  code_dir: /esarchive/scratch/nmilders/gitlab/git_clones/s2s-suite/
