May 21, 2024, 4:44 a.m. | Yi Xiao, Lei Bai, Wei Xue, Kang Chen, Tao Han, Wanli Ouyang

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.12455v2 Announce Type: replace-cross
Abstract: Weather forecasting is a crucial yet highly challenging task. With the maturity of Artificial Intelligence (AI), the emergence of data-driven weather forecasting models has opened up a new paradigm for the development of weather forecasting systems. Despite the significant successes that have been achieved (e.g., surpassing advanced traditional physical models for global medium-range forecasting), existing data-driven weather forecasting models still rely on the analysis fields generated by the traditional assimilation and forecasting system, which hampers …

abstract artificial artificial intelligence arxiv cs.ai cs.lg data data-driven development emergence forecasting intelligence new paradigm paradigm physics.ao-ph replace systems type weather weather forecasting

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