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 , and the code is published on .
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 repository.