Ocean chlorophyll in ESMs compared to ESA-CCI observations.#


This recipe compares monthly surface chlorophyll from CMIP models to ESA CCI ocean colour chlorophyll (ESACCI-OC). The observations are the merged sensor geographic monthly L3S chlor_a data Sathyendranath et al. (2019). Multiple models and different observational versions can be used by the script.

The recipe_esacci_oc.yml produces an image showing four maps. Each of these four maps shows latitude vs longitude and the chlorophyll value. The four plots are: ESACCI-OC v5.0 chlorophyll, the CMIP6 model, the bias model-observation and the ratio model/observations. The script also produces a scatter plot for all coordinates with the model on the x-axis and the observations on the y axis and a line of best fit with the parameter values given in the panel.

Available recipes and diagnostics#

Recipes are stored in esmvaltool/recipes/ocean/

  • recipe_esacci_oc.yml

Diagnostics are stored in esmvaltool/diag_scripts/ocean/

  • diagnostic_model_vs_obs.py

User settings in recipe#

  1. Script diagnostic_model_vs_obs.py

    Required settings for script

    • observational_dataset: name of reference dataset (e.g. {dataset: ESACCI-OC,})


  • chl (ocean, monthly mean, longitude, latitude, time)

Observations and reformat scripts#

  • ESACCI-OC (chl)

    Reformat script: reformat_scripts/obs/reformat_obs_esacci_oc.py


Example plots#


Fig. 199 Surface chlorophyll from ESACCI-OC ocean colour data version 5.0 and the CMIP6 model NorESM2-LM. This model overestimates chlorophyll compared to the observations.#


Fig. 200 Scatter plot of surface chlorophyll from ESACCI-OC ocean colour data version 5.0 and the CMIP6 model NorESM2-LM.#