Construction of deep-learning based WWBs parameterization for ENSO prediction

Westerly wind bursts (WWBs) significantly impact the occurrence and development of the El Niño-Southern Oscillation (ENSO). Current dynamical models, however, face significant challenges in representing WWBs. In this study, deep learning techniques were used to develop a new parameterization scheme...

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Veröffentlicht in:	Atmospheric research 2023-07, Vol.289 (C), p.106770, Article 106770
Hauptverfasser:	You, Lirong, Tan, Xiaoxiao, Tang, Youmin
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Parameterization Westerly wind bursts
Online-Zugang:	Volltext
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