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Mann turbulence modelling

Project description

Deep Rapid Distortion theory Mann Turbulence model

The code is based on the original work of Jacob Mann in 1994 and 1998 as well as in the deep-learning enhancement developed by Keith et al in this 2021 publication.

Basic Usage

See the /examples/ folder for baselines from the paper and for examples of the many functionalities of the package.

Development Installation Instructions

This package is provided as a locally pip-installable package. It is recommended that Python 3.9 is used in your local environment.

A Conda spec-file is included, to install a functioning environment, run conda create --name ENV_NAME_HERE --file spec-file.txt. Then run pip install -e . to load drdmannturb into your environment.

We also suggest installing the local pre-commit configuration by running pre-commit install in the root directory of this repository.

Local Documentation Building Instructions

Docs are in the /docs/ folder. Make sure the dependencies listed in ./requirements-docs.txt are installed.

Run make html to generate html pages in the /docs/build/html folder, which can be hosted locally with python -m http.server <PORT-NUMBER>.

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drdmannturb-1.0.0.tar.gz (10.7 kB view hashes)

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