Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
arxiv(2024)
摘要
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 the emergence of profound potential tools for
atmosphere-ocean forecasts. This study explores the evolution of these advanced
artificial intelligence forecast models, and based on the identified
commonalities, proposes the "Three Large Rules" to measure their development.
We discuss the potential of artificial intelligence in revolutionizing
numerical weather prediction, and briefly outlining the underlying reasons for
its great potential. While acknowledging the high accuracy, computational
efficiency, and ease of deployment of large artificial intelligence forecast
models, we also emphasize the irreplaceable values of traditional numerical
forecasts and explore the challenges in the future development of large-scale
artificial intelligence atmosphere-ocean forecast models. We believe that the
optimal future of atmosphere-ocean weather forecast lies in achieving a
seamless integration of artificial intelligence and traditional numerical
models. Such a synthesis is anticipated to offer a more advanced and reliable
approach for improved atmosphere-ocean forecasts. Additionally, we illustrate
how forecasters can adapt and leverage the advanced artificial intelligence
model through an example by building a large artificial intelligence model for
global ocean wave forecast.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要