Neural-LAM Documentation

Neural-LAM is a graph-based, research-oriented framework for Limited Area Model (LAM) data-driven weather forecasting. It combines graph neural network architectures with structured meteorological datasets to enable scalable regional forecasting experiments.

For project details and research context, see the Neural-LAM GitHub repository.

Contents

• Introduction
• Installation
  • Install from PyPI
  • Basic Installation (Development)
  • Note
  • Building the Documentation
• API Reference
  • Core Components
  • Model Architecture
  • Data Handling
  • Training