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WeatherbenchX

A modular framework for evaluating weather forecasts

Install / Use

/learn @google-research/WeatherbenchX
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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WeatherBench-X: A modular framework for evaluating weather forecasts

Why WeatherBench-X?

WeatherBench-X is an evaluation framework that enables flexible evaluation of various kinds of forecast and ground truth data, including sparse datasets like those coming from weather stations or satellites. It is the successor to the WeatherBench 2 evaluation code. However, the WeatherBench 2 benchmark remains active (and is now also powered by the WeatherBench-X evaluation framework).

WeatherBench related datasets can be found here.

The core design principles behind WeatherBench-X are:

  • Modularity: Data loaders, Interpolations, Metrics and the Aggregation can be defined through interoperable classes.
  • Xarray: All internal logic is based on xarray DataArrays.
  • Scalability: Each operation can be split into small chunks allowing scalable evaluation of very large datasets through Apache Beam.

To get started using WeatherBench-X, check out the quickstart notebook.

License

This is not an officially supported Google product.

Apache License, Version 2.0

Related Skills

View on GitHub
GitHub Stars201
CategoryDevelopment
Updated1d ago
Forks26

Languages

Python

Security Score

95/100

Audited on Apr 1, 2026

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