This repository covers up to several models for forecasting tornadoes. The authors of these models are not experts in climate modelling or tornado dynamics.
Forecasting repositories, such as this one (usually created by @AFg6K7h4fhy2), are typically positioned as small experimental test units for tackling Metaculus questions with statistical modelling.
If you are a collaborator, make sure, upon cloning this repository
git clone https://github.com/AFg6K7h4fhy2/Forecasting-Tornadoes.git
that you have poetry installed.
pip3 install poetry
Once this is done, type poetry shell. To close the environment, type exit.
tree | grep -Ev "\.png|\.pyc|\.txt|\.csv"
.
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── _typos.toml
├── assets
│ └── figures
├── data
│ ├── clean
│ └── raw
├── model_E414_01
│ ├── __init__.py
│ ├── docs
│ │ ├── Makefile
│ │ ├── output
│ │ │ └── out.pdf
│ │ └── source
│ │ ├── metadata.yml
│ │ ├── model.md
│ │ └── references.bib
│ ├── output
│ │ ├── April_2024
│ │ └── May_2024
│ ├── params.toml
│ └── src
│ ├── __init__.py
│ ├── __pycache__
│ ├── model.py
│ └── run.py
├── poetry.lock
├── pyproject.toml
└── utils
├── __init__.py
├── __pycache__
├── config.py
├── data.py
├── inf.py
├── save.py
├── transform.py
└── vis.py
17 directories, 92 files