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recipe_eady_growth_rate.yml
# ESMValTool
---
documentation:
  title: |
    Annual and seasonal means of the maximum Eady Growth Rate (EGR).

  description: |
    Recipe to compute the annual mean or the seasonal mean of the maximum Eady Growth Rate
    (EGR, Brian J Hoskins and Paul J Valdes. On the existence of storm-tracks.
    Journal of the atmospheric sciences, 47(15):1854–1864, 1990.).
    The output produces netcdf files for each model. In the case of the seasonal means, a plot is
    produced for each specified level showing the EGR values over the North-Atlantic region.


  authors:
    - sanchez-gomez_emilia
    - moreno-chamarro_eduardo

  maintainer:
    - loosveldt-tomas_saskia

  references:
    - morenochamarro2021

  projects:
    - primavera

datasets:
   - {dataset: HadGEM3-GC31-LM, project: CMIP6, exp: highresSST-present,
      ensemble: r1i1p1f1, mip: Amon, grid: gn, start_year: 1950, end_year: 2014}
   - {dataset: HadGEM3-GC31-MM, project: CMIP6, exp: highresSST-present,
      ensemble: r1i1p1f1, mip: Amon, grid: gn, start_year: 1950, end_year: 2014}


preprocessors:
  summer:
    extract_season:
      season: 'JJA'
  winter:
    extract_season:
      season: 'DJF'

diagnostics:
  annual_egr:
    variables:
      ta:
      zg:
      ua:
    scripts:
      annual_eady_growth_rate:
        script: primavera/eady_growth_rate/eady_growth_rate.py
        time_statistic: 'annual_mean'


  summer_egr:
    variables:
      ta:
        preprocessor: summer
      zg:
        preprocessor: summer
      ua:
        preprocessor: summer
    scripts:
      summer_eady_growth_rate:
        script: primavera/eady_growth_rate/eady_growth_rate.py
        time_statistic: 'seasonal_mean'

  winter_egr:
    variables:
      ta:
        preprocessor: winter
      zg:
        preprocessor: winter
      ua:
        preprocessor: winter
    scripts:
      winter_eady_growth_rate:
        script: primavera/eady_growth_rate/eady_growth_rate.py
        time_statistic: 'seasonal_mean'
        plot_levels: [70000]
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