miniWeatherML

A simplified weather model simulating flows such as supercells that are realistic enough to be challenging and simple enough for rapid prototyping in creating and learning about surrogates.

Metadata

Model miniWeatherML.json

Datasets miniWeatherML.json

Overview

MiniWeatherML is a playground for learning and developing Machine Learning (ML) surrogate models and workflows. It is based on a simplified weather model simulating flows such as supercells that are realistic enough to be challenging and simple enough for rapid prototyping in:

  • Data generation and curation
  • Machine Learning model training
  • ML model deployment and analysis
  • End-to-end workflows

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References

  1. https://github.com/mrnorman/miniWeatherML ↩︎

  2. https://github.com/mrnorman/miniWeatherML/wiki ↩︎

Last modified January 26, 2024: Fixed typos (a1d6fc4)