Revision 223ee354d84d0615853e1d40cb597024a397f33b authored by catherinehardacre on 04 April 2024, 23:14:39 UTC, committed by catherinehardacre on 04 April 2024, 23:14:39 UTC
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recipe_ocean_multimap.yml
# ESMValTool
# recipe_ocean_multimap.yml
---
documentation:
 
  title: Maps of ESMs biases against observations
 
  description: |
    Recipe to evaluate multiple model bias against a reference dataset
    Written by Tomas Lovato, CMCC, tomas.lovato@cmcc.it

  authors:
    - lovato_tomas
  
  maintainer:
    - lovato_tomas

  references:
    - acknow_project

  projects:
    - crescendo


# Write options for scripts
# --------------------------------------------------
WRITE_OPTS: &write_opts
   - { write_plots: True, write_netcdf: True }


# --------------------------------------------------
# DATASETS
# --------------------------------------------------
datasets:
# working datasets
# CMIP5
  - {dataset: CanESM2,       project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: CESM1-BGC,     project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: IPSL-CM5A-LR,  project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: IPSL-CM5A-MR,  project: CMIP5,  exp: historical,  ensemble: r3i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: IPSL-CM5B-LR,  project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: HadGEM2-ES,    project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: CNRM-CM5,      project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: HadGEM2-CC,    project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: CMCC-CESM,     project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: GFDL-ESM2M,    project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: MPI-ESM-LR,    project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: MPI-ESM-MR,    project: CMIP5,  exp: historical,  ensemble: r3i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: MRI-ESM1,      project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: NorESM1-ME,    project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: GISS-E2-H-CC,  project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}
  - {dataset: MIROC-ESM,     project: CMIP5,  exp: historical,  ensemble: r1i1p1,  start_year: 1995,  end_year: 2004}


# --------------------------------------------------
# Preprocessors
# --------------------------------------------------
preprocessors:
  # --------------------------------------------------
  # map preprocessors
  # --------------------------------------------------
  # For a 2D global surface map
  prep_surface_map_2D:
    climate_statistics:
      operator: mean
    regrid:
      target_grid: 1x1
      scheme: linear

# --------------------------------------------------
# Diagnostics
# --------------------------------------------------
diagnostics:

  # --------------------------------------------------
  # Map diagnostics vs OBS
  # --------------------------------------------------
  diag_surface_multimap:
    description: Global Ocean Surface maps vs OBS
    variables:
      fgco2:
        preprocessor: prep_surface_map_2D
        mip: Omon
        maps_range: [-0.12, 0.12]
        diff_range: [-0.09, 0.09]
        layout_rowcol: [4, 4]
    additional_datasets:
      - {dataset: Landschuetzer2016,  project: OBS,  type: clim,  version: v2016,  start_year: 1995,  end_year: 2014,  tier: 2}
    scripts:
      Global_Ocean_multi_vs_obs:
        script: ocean/diagnostic_maps_multimodel.py
        observational_dataset: {dataset: Landschuetzer2016, project: OBS}
        <<: *write_opts

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