# ESMValTool
# recipe_seaice_feedback.yml
---
documentation:
  title: |
    Ice Formation Efficiency (IFE).

  description: |
    This recipe is related to the negative sea-ice growth–thickness feedback
    In this recipe, one process-based diagnostic named the
    Ice Formation Efficiency (IFE) is computed based on monthly mean
    sea-ice volume estimated north of 80°N. The choice of this domain
    is motivated by the desire to minimize the influence of dynamic
    processes but also by the availability of sea-ice thickness measurements.
    The diagnostic intends to evaluate the strength of the negative sea-ice
    thickness/growth feedback, which causes late-summer negative anomalies
    in sea-ice area and volume to be partially recovered during the next
    growing season. A chief cause behind the existence of this feedback is
    the non-linear inverse dependence between heat conduction fluxes and
    sea-ice thickness, which implies that thin sea ice grows faster than thick
    sea ice. To estimate the strength of that feedback, anomalies of the annual
    minimum of sea-ice volume north of 80°N are first estimated. Then,
    the increase in sea-ice volume until the next annual maximum is computed
    for each year. The IFE is defined as the regression of this ice volume
    production onto the baseline summer volume anomaly.

  authors:
    - massonnet_francois

  maintainer:
    - vegas-regidor_javier

  references:
    - massonet18natcc

  projects:
    - applicate
    - primavera

datasets:
  - &cmip5 {project: CMIP5, exp: historical, dataset: ACCESS1-0, ensemble: r1i1p1, start_year: 1979, end_year: 2004}
  - {<<: *cmip5, dataset: ACCESS1-3}
  - {<<: *cmip5, dataset: bcc-csm1-1}
  - {<<: *cmip5, dataset: BNU-ESM}
  - {<<: *cmip5, dataset: CCSM4}
  - {<<: *cmip5, dataset: CESM1-BGC}
  - {<<: *cmip5, dataset: CESM1-CAM5}
  - {<<: *cmip5, dataset: CESM1-FASTCHEM}
  - {<<: *cmip5, dataset: CESM1-WACCM}
  - {<<: *cmip5, dataset: CMCC-CESM}
  - {<<: *cmip5, dataset: CMCC-CM}
  - {<<: *cmip5, dataset: CMCC-CMS}
  - {<<: *cmip5, dataset: CNRM-CM5}
  - {<<: *cmip5, dataset: CNRM-CM5-2}
  - {<<: *cmip5, dataset: FGOALS-g2}
  - {<<: *cmip5, dataset: GFDL-CM2p1}
  - {<<: *cmip5, dataset: GFDL-CM3}
  - {<<: *cmip5, dataset: GFDL-ESM2G}
  - {<<: *cmip5, dataset: GFDL-ESM2M}
  - {<<: *cmip5, dataset: HadCM3}
  - {<<: *cmip5, dataset: HadGEM2-CC}
  - {<<: *cmip5, dataset: HadGEM2-ES}
  - {<<: *cmip5, dataset: IPSL-CM5A-LR}
  - {<<: *cmip5, dataset: IPSL-CM5A-MR}
  - {<<: *cmip5, dataset: IPSL-CM5B-LR}
  - {<<: *cmip5, dataset: MPI-ESM-LR}
  - {<<: *cmip5, dataset: MPI-ESM-MR}
  - {<<: *cmip5, dataset: MPI-ESM-P}
  - {<<: *cmip5, dataset: NorESM1-M}
  - {<<: *cmip5, dataset: NorESM1-ME}
  - {<<: *cmip5, dataset: CanCM4}
  - {<<: *cmip5, dataset: CanESM2}
  - {<<: *cmip5, dataset: CSIRO-Mk3-6-0}
  - {<<: *cmip5, dataset: EC-EARTH}
  - {<<: *cmip5, dataset: GISS-E2-H, ensemble: r1i1p2}
  - {<<: *cmip5, dataset: GISS-E2-R, ensemble: r1i1p2}

  # Missing areacello
  # - {<<: *cmip5, dataset: bcc-csm1-1-m}
  # - {<<: *cmip5, dataset: CESM1-CAM5-1-FV2}
  # - {<<: *cmip5, dataset: FIO-ESM}
  # - {<<: *cmip5, dataset: GISS-E2-H-CC}
  # - {<<: *cmip5, dataset: GISS-E2-R-CC}
  # - {<<: *cmip5, dataset: HadGEM2-AO}
  # - {<<: *cmip5, dataset: inmcm4}

diagnostics:
  NegativeSeaIceFeedback:
    description: Computes the negative seaice feedback
    variables:
      sit:
        mip: OImon
      areacello:
        mip: fx
    scripts:
      negative_seaice_feedback:
        script: seaice_feedback/negative_seaice_feedback.py
        plot:
          point_color: black
          point_size: 10
          show_values: false