The rapid advancement of artificial intelligence technologies, particularly
in recent years, has led to the emergence of several large parameter artificial
intelligence weather forecast models. These models represent a significant
breakthrough, overcoming the limitations of traditional numerical weather
prediction models and indicating a potential second revolution for weather
forecast. This study explores the evolution of these advanced artificial
intelligence forecast models, and based on the identified commonalities,
proposes the "Three Large Rules" for their development. We discuss the
potential of artificial intelligence in revolutionizing numerical weather
prediction, briefly outlining the underlying reasons for this potential.
Additionally, we explore key areas for future development prospects for large
artificial intelligence weather forecast models, integrating the entire
numerical prediction process. Through an example that combines a large
artificial intelligence model with ocean wave forecasting, we illustrate how
forecasters can adapt and leverage the advanced artificial intelligence model.
While acknowledging the high accuracy, computational efficiency, and ease of
deployment of large artificial intelligence forecast models, we emphasize the
irreplaceable values of traditional numerical forecasts. We believe that the
optimal future of weather forecasting lies in achieving a seamless integration
of artificial intelligence and traditional numerical models. Such a synthesis
is anticipated to offer a more comprehensive and reliable approach for future
weather forecasting.

人工智能天气预报模型的快速进展，尤其是近年来，已经导致了几个大参数人工智能天气预报模型的出现。本研究探讨了这些先进人工智能预报模型的演变，并基于找到的共同点，提出了它们发展的 “三大规则”。我们讨论了人工智能在革新数值天气预报方面的潜力，并简要概述了这个潜力的基本原因。此外，我们探讨了未来发展大规模人工智能天气预报模型的关键领域，整合整个数值预测过程。通过一个结合大规模人工智能模型与海洋波浪预报的例子，我们说明了预报员如何调整和利用先进的人工智能模型。我们承认大规模人工智能预报模型的高准确性、计算效率和易于部署，但我们强调传统数值预测的不可替代价值。我们相信，天气预报的最佳未来在于实现人工智能和传统数值模型的无缝融合。这种综合预计将为未来天气预报提供更全面、更可靠的方法。