Is Artificial Intelligence Providing the Second Revolution for Weather
  Forecasting?
Fenghua Ling Lin Ouyang Boufeniza Redouane Larbi Jing-Jia Luo Tao Han Xiaohui Zhong Lei Bai
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.