.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/hariharan2022.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_gallery_hariharan2022.py>`
        to download the full example code

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

.. _sphx_glr_gallery_hariharan2022.py:


Width-Based Discharge Partitioning in Distributary Networks: How Right We Are
=============================================================================
*Jay Hariharan, Anastasia Piliouras, Jon Schwenk, and Paola Passalacqua*

`This publication <https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL097897>`_
used RivGraph to test optimal discharge partitioning schemes at channel bifurcations. 

.. image:: ../gallery_source/images/hariharan_et_al_2022.PNG

.. GENERATED FROM PYTHON SOURCE LINES 11-13

.. code-block:: default

    # (left) RivGraph-derived normalized discharges for the Mahakam River. 
    # (right) Error values comparing in-situ measurements to RivGraph-derived ones.


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

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_gallery_hariharan2022.py:

.. only:: html

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




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

      :download:`Download Python source code: hariharan2022.py <hariharan2022.py>`

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

      :download:`Download Jupyter notebook: hariharan2022.ipynb <hariharan2022.ipynb>`


.. only:: html

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

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