Acknowledgement

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

Dependent Projects

Project	Citation
pySTEPS	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.
wradlib	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
Py-ART	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
Cartopy	Cartopy. v0.11.2. 22-Aug-2014. Met Office. UK. https://github.com/SciTools/cartopy/archive/v0.11.2.tar.gz