##################
Scientific Regions
##################

The following regions, used in the scientific literature, are already defined:

* Giorgi Regions (from Giorgi and Franciso, 2000)
* SREX Regions (Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) from Seneviratne et al., 2012)


.. ipython:: python
    :suppress:

    # Use defaults so we don't get gridlines in generated docs
    import matplotlib as mpl
    mpl.rcdefaults()
    mpl.use('Agg')

    # cut border when saving (for maps)
    mpl.rcParams["savefig.bbox"] = "tight"

The following imports are necessary for the examples.

.. ipython:: python

    import regionmask
    import matplotlib.pyplot as plt

Giorgi Regions
==============

.. ipython:: python

    regionmask.defined_regions.giorgi.plot(label='abbrev');

    @savefig plotting_giorgi.png width=100%
    plt.tight_layout()

SREX Regions
============

.. ipython:: python

    regionmask.defined_regions.srex.plot();

    @savefig plotting_srex.png width=100%
    plt.tight_layout()

References
~~~~~~~~~~
* Giorgi and Franciso, 2000: `<http://onlinelibrary.wiley.com/doi/10.1029/1999GL011016>`_
* Seneviratne et al., 2012:  `<https://www.ipcc.ch/pdf/special-reports/srex/SREX-Ch3-Supplement_FINAL.pdf>`_