Acknowledgement
===============

This project would not have been possible without many other open-source
projects.  The most notable proejcts are listed below:

.. csv-table:: Dependent Projects
   :header: "Project", "Citation"
   :widths: auto

    "`pySTEPS <https://pysteps.readthedocs.io/en/latest/>`_", "`Pulkkinen, S., Nerini, D., Pérez Hortal, A. A., Velasco-Forero, C., Seed, A., Germann, U., and Foresti, L.: Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-94, in review, 2019. <https://www.geosci-model-dev-discuss.net/gmd-2019-94/>`_"
    "`wradlib <https://docs.wradlib.org/en/stable/>`_", "`Heistermann, M., Jacobi, S., and Pfaff, T.: Technical Note: An open source library for processing weather radar data (wradlib), Hydrol. Earth Syst. Sci., 17, 863-871, doi:10.5194/hess-17-863-2013, 2013 <https://www.hydrol-earth-syst-sci.net/17/863/2013/hess-17-863-2013.pdf>`_"
    "`Py-ART <http://arm-doe.github.io/pyart-docs-travis/user_reference/index.html>`_", "`Helmus, J.J. and Collis, S.M., 2016. The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language. Journal of Open Research Software, 4(1), p.e25. DOI: http://doi.org/10.5334/jors.119 <https://openresearchsoftware.metajnl.com/articles/10.5334/jors.119/>`_"
    "`Cartopy <https://scitools.org.uk/cartopy/docs/latest/>`_", "`Cartopy. v0.11.2. 22-Aug-2014. Met Office. UK. https://github.com/SciTools/cartopy/archive/v0.11.2.tar.gz <http://scitools.org.uk/cartopy>`_"