Probextreme

Python Library for Extreme Event Characterisation.

See documentation: https://probextreme.readthedocs.io/en/latest/

This library is under construction

Installation

git clone https://github.com/ArcticSnow/probextreme.git

# install in development mode
pip install -e probextreme

Documentation

To display the documentation, install the package mkdocs, and run the command mkdocs serve from the probextreme root directory.

pip install mkdocs
mkdocs serve

ToDo

Short term

• add Bayesian temporal dependencies
• add example notebooks (see Bérarde cases). Provide sample datasets
• add Bayesian Pareto
• add Mann-Kendall test for trend significance
• add trends fitting

Long term development

• seasonal extremes
• Bayesian plotting