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AI-assisted weather forecasting

Exploring machine-learning approaches to weather prediction, with an emphasis on rigorous evaluation and practical forecasting value.

About this work

This work brings together atmospheric data, machine-learning experiments, and evaluation workflows. The goal is not simply to produce a model, but to understand where it is useful, where it fails, and how its output can support better decisions.

Focus areas

  • Machine learning
  • Weather
  • Evaluation
  • Research systems

This page will grow with links to code, results, papers, and presentations as they become ready to share.