项目简介
WeatherNext 是谷歌 DeepMind 推出的全球中期天气预报与气旋追踪 AI 模型套件，包含最新的 WeatherNext 2 以及早期的 GraphCast 和 GenCast。仓库提供代码、预训练权重和文档，可用于运行预测。
README 预览
# WeatherNext\n\n## WeatherNext 2\n\nThis repo contains the code for WeatherNext 2 (WN2), the global, medium-range\natmospheric and cyclone forecasting model developed by Google DeepMind and\nGoogle Research.\n\nIt also contains code for prior generation models\n[GraphCast](https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/)\nand\n[GenCast](https://deepmind.google/blog/gencast-predicts-weather-and-the-risks-of-extreme-conditions-with-sota-accuracy/).\n\n### Accessing Forecast Data Feeds\nIf you are interested in directly accessing daily data feeds of WN2 model\noutputs rather than running the model yourself, we provide them across multiple\nplatforms:\n\n* [Google Cloud](https://developers.google.com/weathernext/guides/access-forecast)\n(including Earth Engine, BigQuery, and Vertex AI).\n* [WeatherLab](https://deepmind.google.com/science/weatherlab) (including cyclone tracks).\n* [OpenMeteo](https://open-meteo.com/en/docs/google-weathernext-api) (including an API and interactive builder).\n\n### Learn More\n\n* **Model Guide & Documentation:** [Google Developers WeatherNext Guide](https://developers.google.com/weathernext/guides/models)\n* **WeatherNext Cyclones Paper:** [Operational tropical cyclone forecasting\n with AI](https://www.nature.com/articles/s41586-026-10953-2)\n* **FGN/WN2 Technical Report:** [Skillful joint probabilistic weather\n forecasting from marginals\n (arXiv:2506.10772)](https://arxiv.org/abs/2506.10772)\n* **WeatherNext 2 Blog Post:** [WeatherNext 2: Our most advanced weather forecasting model](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/weathernext-2/)\n* **WeatherNext Cyclones Blog Post:** [WeatherNext: AI model achieves breakthrough in forecasting cyclones](https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/)\n\n### Older Models\n\nThis repository serves as the primary home for the Weathe