4. Postprocessing

4.1. eagle-tools Overview

We use the eagle-tools package for postprocessing model output and visualizing model performance. The eagle-tools library provides command-line utilities that are configured via YAML files.

This library currently supports:

  • Running anemoi-inference across many initial conditions at scale, for example over a validation set

  • Postprocessing inference output into a format ready for the wxvx package

  • Computing aggregated error metrics such as RMSE and MAE while preserving the initial-condition dimension

  • Visualizing spatial error across lead times

  • Computing power spectra

  • Visualizing predictions alongside targets through figures and GIFs

At a high level, eagle-tools enables users to analyze model performance at scale. For more information, see the eagle-tools GitHub repository.

4.2. eagle-tools Quick Tips

Coming soon!