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AI models still lag behind traditional numerical models in predicting sudden-turning typhoons 被引量:1
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作者 Daosheng Xu Zebin Lu +10 位作者 Jeremy Cheuk-Hin Leung Dingchi Zhao Yi Li Yang Shi Bin Chen Gaozhen Nie Naigeng Wu Xiangjun Tian Yi Yang Shaoqing Zhang Banglin Zhang 《Science Bulletin》 2025年第17期2705-2708,共4页
Given the interpretability,accuracy,and stability of numerical weather prediction(NWP)models,current operational weather forecasting relies heavily on the NWP approach[1].In the past two years,the rapid development of... Given the interpretability,accuracy,and stability of numerical weather prediction(NWP)models,current operational weather forecasting relies heavily on the NWP approach[1].In the past two years,the rapid development of Artificial Intelligence(AI)has provided an alternative solution for medium-range(1-10 d)weather forecasting. 展开更多
关键词 weather forecasting numerical models numerical weather prediction nwp modelscurrent accuracy AI MODELS sudden turning typhoons artificial intelligence ai
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