Description:
  Author: nperez
  Info: ECVs Oper ESS ECMWF SEAS5 Seasonal Forecast recipe (monthly mean, tas)

Analysis:
  Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
  Variables:
    name: tas
    freq: monthly_mean
  Datasets:
    System:
      name: Meteo-France-System8
    Multimodel: no # Mandatory, bool: Either yes/true or no/false
    Reference:
      name: ERA5 # Mandatory, str: Reference codename. See docu.
  Time:
    sdate: '0101'
    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: 2 # Mandatory, int: Last leadtime time step in months
  Region:
   latmin: -90
   latmax: 90
   lonmin: 0
   lonmax: 359.5
  Regrid:
    method: bilinear # Mandatory, str: Interpolation method. See docu.
    type: "to_system"
    #type: /esarchive/scratch/nmilders/gitlab/git_clones/auto-s2s/conf/grid_description.txt #'r360x180' # Mandatory, str: to_system, to_reference, or CDO-accepted grid.
  Workflow:
    Anomalies:
      compute: yes
      cross_validation: no
      save: none
    Calibration:
      method: raw # Mandatory, str: Calibration method. See docu.
      cross_validation: yes
      save: none
    Skill:
      metric: mean_bias EnsCorr rpss crpss EnsSprErr
      save: 'all'
      cross_validation: yes
    Probabilities:
      percentiles: [[1/3, 2/3], [1/10, 9/10]] # frac: Quantile thresholds.
      save: none 
    Indicators:
      index: no
    Visualization:
      plots: skill_metrics #forecast_ensemble_mean most_likely_terciles
      multi_panel: no
      dots: both
      #projection: robinson
    Scorecards:
      execute: no # 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: -90, lat.max: -30}
      start_months: NULL
      metric: mean_bias enscorr rpss crpss EnsSprErr
      metric_aggregation: 'skill'
      #inf_to_na: yes
      table_label: NULL
      fileout_label: NULL
      col1_width: NULL
      col2_width: NULL
      calculate_diff: FALSE
  ncores: 4 # Optional, int: number of cores, defaults to 1
  remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
  Output_format: scorecards
  logo: yes
Run:
  Loglevel: INFO
  Terminal: yes
  filesystem: esarchive
  output_dir: /esarchive/scratch/nperez/cs_oper/ # replace with the directory where you want to save the outputs
  code_dir: /esarchive/scratch/nperez/git3/sunset/ # replace with the directory where your code is
  autosubmit: no
  # fill only if using autosubmit
  auto_conf:
    script: /esarchive/scratch/nperez/git3/sunset/full_ecvs_scorecards.R # replace with the path to your script
    expid: a68v # replace with your EXPID
    hpc_user: bsc32339 # replace with your hpc username
    wallclock: 02:00 # hh:mm
    processors_per_job: 4 
    platform: nord3v2 
    email_notifications: yes # enable/disable email notifications. Change it if you want to.
    email_address: nuria.perez@bsc.es # replace with your email address
    notify_completed: yes # notify me by email when a job finishes
    notify_failed: yes # notify me by email when a job fails
