Welcome to the TCTrack documentation

TCTrack is a Python library providing bindings to tracking algorithms for tropical cyclones in an accessible manner to generate high-quality and FAIR output data.

It can be used for tracking cyclones in simulations and observations, and to compare the output of different algorithms for a variety of data sources.

Contents:

• Getting Started
  • Installation
  • Dependencies
• Tutorial
  • Installation
  • Obtaining Data
  • Pre-processing of Data
  • Running the code
  • Visualising Results
• Tracking Algorithms
  • TSTORMS
  • Tempest Extremes
  • TRACK
• API Documentation
  • Core Utilities
  • TSTORMS
  • Tempest Extremes
  • TRACK
  • Utility functions
• Data Formats and Manipulation
  • Preprocessing Data
  • TCTrack Output Format
• Developer Information
  • Guidelines for developers and contributors
  • Adding a New Tracking Algorithm
• References

Indices

• Index

• Module Index

Acknowledgments

This work was funded by a philantropic donation to the University of Cambridge from INIGO Insurance as part of the InSPIRe project.

The TCTrack logo was designed by Jack Atkinson - @jatkinson1000.