documentation:
  title: Marine Biogeochemistry analysis suite
  description: 'Recipe to evaluate the marine biogeochemistry models of CMIP5.

    There are also some physical evaluation metrics here too.

    This work based on the BGC-val toolkit GMD-2018-103.

    DOI: https://doi.org/10.5194/gmd-11-4215-2018

    Written by Lee de Mora, Plymouth Marine Laboratory, ledm@pml.ac.uk'
  authors:
  - demora_lee
  maintainer:
  - demora_lee
  references:
  - demora2018gmd
  projects:
  - ukesm
preprocessors:
  prep_timeseries_global_volume_average:
    custom_order: true
    volume_statistics:
      operator: mean
  prep_global_Surface_average_timeseries_2D:
    custom_order: true
    area_statistics:
      operator: mean
  prep_global_Surface_average_timeseries_3D:
    custom_order: true
    extract_levels:
      levels:
      - 0.0
      scheme: linear_extrapolate
    area_statistics:
      operator: mean
  prep_timeseries_scalar:
    custom_order: true
  prep_surface_map_2D:
    climate_statistics:
      operator: mean
  prep_surface_map_3D:
    extract_levels:
      levels:
      - 0.0
      scheme: linear_extrapolate
    climate_statistics:
      operator: mean
  prep_surface_map_regrid_3D:
    custom_order: true
    extract_levels:
      levels:
      - 0.0
      scheme: linear_extrapolate
    climate_statistics:
      operator: mean
    regrid:
      target_grid: 1x1
      scheme: linear
  prep_global_profile:
    annual_statistics:
      operator: mean
    area_statistics:
      operator: mean
  prep_global_profile_decadal:
    decadal_statistics:
      operator: mean
    area_statistics:
      operator: mean
  prep_transect_AMT:
    custom_order: true
    climate_statistics:
      operator: mean
    extract_region:
      start_longitude: 320.0
      end_longitude: 345.0
      start_latitude: -81.0
      end_latitude: 89.9
    regrid:
      target_grid: 1x1
      scheme: linear
    extract_transect:
      longitude: 332.0
  default: {}
diagnostics:
  diag_surface_maps_vs_WOA:
    description: Global Ocean Surface maps vs WOA
    variables:
      so:
        mip: Omon
        preprocessor: prep_surface_map_regrid_3D
        additional_datasets:
        - dataset: HadGEM2-ES
          exp: historical
          project: CMIP5
          timerange: 2001/2004
          version: v20110916
          ensemble: r1i1p1
        - dataset: WOA
          project: OBS
          tier: 2
          timerange: 2000/2000
          type: clim
          version: 2013v2
      no3:
        mip: Oyr
        preprocessor: prep_surface_map_regrid_3D
        additional_datasets:
        - dataset: HadGEM2-ES
          exp: historical
          project: CMIP5
          timerange: 2001/2004
          version: v20110916
          ensemble: r1i1p1
        - dataset: WOA
          project: OBS
          tier: 2
          timerange: 2000/2000
          type: clim
          version: 2013v2
      si:
        mip: Oyr
        preprocessor: prep_surface_map_regrid_3D
        additional_datasets:
        - dataset: HadGEM2-ES
          exp: historical
          project: CMIP5
          timerange: 2001/2004
          version: v20110916
          ensemble: r1i1p1
        - dataset: WOA
          project: OBS
          tier: 2
          timerange: 2000/2000
          type: clim
          version: 2013v2
      o2:
        mip: Oyr
        preprocessor: prep_surface_map_regrid_3D
        additional_datasets:
        - dataset: HadGEM2-ES
          exp: historical
          project: CMIP5
          timerange: 2001/2004
          version: v20110916
          ensemble: r1i1p1
        - dataset: WOA
          project: OBS
          tier: 2
          timerange: 2000/2000
          type: clim
          version: 2013v2
      areacello:
        exp: historical
        mip: fx
        project: CMIP5
        version: v20130612
        ensemble: r0i0p0
        additional_datasets:
        - dataset: HadGEM2-ES
    scripts:
      Global_Ocean_surface_map:
        script: ocean/diagnostic_maps.py
datasets: []