# ESMValTool
# recipe_modes_of_variability.yml
---
documentation:
  description: |
    Tool to compute the RMSE between the observed and modelled patterns of
    variability obtained through classification and their relative relative
    bias (percentage) in the frequency of occurrence and the persistence of
    each mode.

  authors:
    - torr_ve
    - fuck_ne
    - cort_ni
    - guem_vi
    - hunt_al
    - pere_nu
    - manu_ni

  projects:
    - c3s-magic

  references:
    - fuckar

datasets:
  - {dataset: bcc-csm1-1, project: CMIP5, start_year: 1971, end_year: 2000, ensemble: r1i1p1, exp: historical}
  - {dataset: bcc-csm1-1, project: CMIP5, start_year: 2020, end_year: 2075, ensemble: r1i1p1, exp: rcp85}

preprocessors:
  preproc:
    regrid:
      target_grid: 1x1
      scheme: nearest
    extract_region:
      start_longitude: 0
      end_longitude: 360
      start_latitude: 50
      end_latitude: 90

diagnostics:
  weather_regime:
    description: Compute modes of variability.
    variables:
      #psl:
      sic:
        preprocessor: preproc
        mip: OImon
    scripts:
      main:
        script: magic_bsc/weather_regime.r
        plot_type: polar  # rectangular or polar

        ncenters: 3
        detrend_order: 2  # 0, 1 or 2 for daily data
        cluster_method: "kmeans"  # select hclust or kmeans
        EOFS: false
        frequency: 'SON'  # Select a month (format: JAN, FEB, ...) or season (JJA, SON, MAM(only monthly), DJF)