Python Hail Retrieval Toolkit (pyhail) ⛈️📡🧊
This toolkit provides a collection of hail retrieval techniques for weather radar data using the Py-ART toolkit.
Library Dependencies
- Py-ART
- numpy
- netCDF4
- scipy
- scikit-image
Notebook Dependencies
- matplotlib
- cartopy
Hail Retrivals
- *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)
*Note that the Q confidence vector from Park et al. 2009 has not been implemented and all pixels are assigned a value of q=1.
MESH is implemented for both pyart radar (PPI) and grid (Cartesian) data!
Install using pypi
pip install pyhail
Install from source
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 git@github.com:joshua-wx/pyhail.git
To install in your home directory, use:
python setup.py install --user
Use
1 maintainer
Metadata
1 maintainer
Release files for pyhail 2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyhail-2.3.tar.gz | 2.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyhail-2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.2 MB
Release files / pyhail-2.3.tar.gz
| Download URL | pyhail-2.3.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
|
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Release files / pyhail-2.3-py3-none-any.whl
| Download URL | pyhail-2.3-py3-none-any.whl |
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| Size | 20.0 kB |
| Tags | Python 3 |
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