CPyS : An efficient python code to compute Cyclone Phase Space (CPS) parameters
The Cyclone Phase Space (CPS), initially developed by Hart et al. (2003), is a useful and widespread framework for identifying different cyclone types.
I have developed a Python package which enables efficient computation of the CPS parameters from geopotential snapshots along cyclone tracks. The package is available on PyPI, and the code is published on GitHub.
This code is only recently made available publicly, and I am more than happy to receive feedback, suggestions for improvement, or any contribution to make it more flexible.
HuracanPy : A python package for manipulating track data
This is an ongoing initiative to try and build a flexible and robust python package to work with track data of any kind. The project is managed through this GitHub repository.