This toolkit provides a collection of hail retrieval techniques for weather radar data using the Py-ART toolkit.

• Py-ART
• numpy
• netCDF4
• scipy
• wradlib - used to generate beam blockage map

• Hail Size Discrimination Algorithm - HSDA (Ortega et al. 2016)
• Hail Differential Reflectivity - HDR (Depue et al. 2007)
• Maximum Expected Size of Hail - MESH witt1998 (Witt et al. 1998)
• Maximum Expected Size of Hail - MESH mh2019_75/mh2019_95 (Murillo and Homeyer 2019)
• Accumulated Hail - hAcc (Wallace et al. 2019)

MESH is implemented for both pyart radar (PPI) and grid (Cartesian) data!

To install PyHail, you can either download and unpack the zip file of the source code or use git to checkout the repository:

git clone [email protected]:joshua-wx/PyHail.git

To install in your home directory, use:

python setup.py install --user

• Example Notebook