Exploiting a variational auto-encoder to represent the evolution of sudden stratospheric warmings

Exploiting a variational auto-encoder to represent the evolution of sudden stratospheric warmings

Sudden stratospheric warmings (SSWs) are the most dramatic events in the wintertime stratosphere. Such extreme events are characterized by substantial disruption to the stratospheric polar vortex, which can be categorized into displacement and splitting types depending on the morphology of the disru...

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Bibliographic Details
Main Authors:	Yi-Chang Chen, Yu-Chiao Liang, Chien-Ming Wu, Jin-De Huang, Simon H Lee, Yih Wang, Yi-Jhen Zeng
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Series:	Environmental Research: Climate
Subjects:	sudden stratospheric warmings deep learning variational auto-encoder
Online Access:	https://doi.org/10.1088/2752-5295/ad3a0d

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