Description:
  Author: V. Agudetse
  Description: Multiple variables in the same atomic recipe
Analysis:
  Horizon: Seasonal
  Variables:
    name: tas
    freq: monthly_mean
    units: C
  Datasets:
    System:
      name: ECMWF-SEAS5.1
    Multimodel: False
    Reference:
      name: ERA5
  Time:
    sdate: '1101'
    fcst_year: '2020'
    hcst_start: '1999'
    hcst_end: '2010'
    ftime_min: 1
    ftime_max: 1
  Region:
    name: "Global"
    latmin: -10
    latmax: 10
    lonmin: 0
    lonmax: 20
  Regrid:
    method: bilinear
    type: to_system
  Workflow:
    Calibration:
      method: mse_min
      save: 'exp_only'
    Anomalies:
      compute: yes
      cross_validation: yes
      save: 'none'
    Skill:
      metric: RPS RPSS CRPS CRPSS BSS10 BSS90 EnsCorr mean_bias mean_bias_SS
      save: 'all'
      cross_validation: yes
    Statistics:
      metric: cov std var n_eff
      save: 'all'
    Probabilities:
      percentiles: [[1/3, 2/3], [1/10], [9/10]] # , [9/10]]
      save: 'all'
    Visualization:
      plots: most_likely_terciles, skill_metrics, forecast_ensemble_mean
      forecast_method: mean, median
      multi_panel: no
      projection: cylindrical_equidistant
      dots: both
      mask_terciles: both
      file_format: PNG
    Indicators:
      index: no
  ncores: 14
  remove_NAs: yes
  Output_format: S2S4E
Run:
  Loglevel: INFO
  Terminal: yes
  output_dir: /esarchive/scratch/vagudets/auto-s2s-outputs/
  code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
