用视觉语言模型直接从气象视频数据生成航海预报文本。
The promising potential of vision language models for the generation of textual weather forecasts
- 将格点气象数据转为视频输入，通过视觉语言模型生成文字预报。
- 首次实现从视频编码数据直接生成标准航海预报内容。
- 适合气象科技公司、智能预报系统研发者参考。
尽管多模态基础模型具备强大潜力，但其在气象产品与服务中的应用仍处于起步阶段。为加速发展与采纳，我们探索利用视觉语言模型，直接从视频编码的格点气象数据生成标志性航海预报文本。初步结果表明，该技术在提升气象业务生产效率与服务创新方面具有显著可扩展性前景。
原文摘要 · Abstract (English)
Despite the promising capability of multimodal foundation models, their application to the generation of meteorological products and services remains nascent. To accelerate aspiration and adoption, we explore the novel use of a vision language model for writing the iconic Shipping Forecast text directly from video-encoded gridded weather data. These early results demonstrate promising scalable technological opportunities for enhancing production efficiency and service innovation within the weather enterprise and beyond.
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