.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_evaluation.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_evaluation.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_evaluation.py:


======================================================
Evaluation of 3D ocean biogeochemistry
======================================================

This example uses WOA13/GLODAP data to evaluate the performance of a modern cGENIE experiment.

The regridded data is downloaded from https://www.seao2.info/mymuffin.html

.. GENERATED FROM PYTHON SOURCE LINES 10-33



.. image-sg:: /auto_examples/images/sphx_glr_plot_evaluation_001.png
   :alt: plot evaluation
   :srcset: /auto_examples/images/sphx_glr_plot_evaluation_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/cgeniepy/envs/stable/lib/python3.12/site-packages/cgeniepy/model.py:58: UserWarning: No gemflag is provided, use default gemflags: [biogem]
      warnings.warn("No gemflag is provided, use default gemflags: [biogem]")
    /home/docs/checkouts/readthedocs.org/user_builds/cgeniepy/envs/stable/lib/python3.12/site-packages/cgeniepy/skill.py:422: UserWarning: *c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.
      self.ax.scatter(np.arccos(correlation), std,*args, **kwargs)






|

.. code-block:: Python


    import cgeniepy
    from cgeniepy.skill import ArrComparison
    from cgeniepy.skill import TaylorDiagram
    import matplotlib.pyplot as plt

    sample_model = cgeniepy.sample_model()
    bgc_data = cgeniepy.load_obs('worjh2')

    genie_var  = ['ocn_O2', 'ocn_ALK','ocn_PO4', 'ocn_temp', 'ocn_sal', 'ocn_SiO2', 'ocn_DIC']
    obs_var = ['o2', 'alk', 'po4', 'temp', 'sal', 'si', 'dic']

    arr_comps = []
    for x,y in zip(genie_var, obs_var):
        obs = bgc_data[y]
        model = sample_model.get_var(x).isel(time=-1)
        tmp = ArrComparison(model.data.to_numpy(), obs.to_numpy(), label=y)
        arr_comps.append(tmp)

    tay_diagram = TaylorDiagram(arr_comps)
    tay_diagram.setup_ax(crmse_contour=True)
    tay_diagram.plot(s=100)
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.522 seconds)


.. _sphx_glr_download_auto_examples_plot_evaluation.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_evaluation.ipynb <plot_evaluation.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_evaluation.py <plot_evaluation.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_evaluation.zip <plot_evaluation.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_