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An Automatic Jet Stream Axis Identification Method Based on Semi-Supervised Learning

Changes in the jet stream not only affect the persistence of climate change and the frequency of extreme weather but are also closely related to climate change phenomena such as global warming. The manual way of drawing the jet stream axes in meteorological operations suffers from low efficiency and...

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Principais autores: Jianhong Gan, Tao Liao, Youming Qu, Aijuan Bai, Peiyang Wei, Yuling Gan, Tongli He
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-09-01
coleção:Atmosphere
Assuntos:
jet stream axes
automatic identification
deep learning
semi-supervised learning
Acesso em linha:https://www.mdpi.com/2073-4433/15/9/1077
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