A residual network with geographical and meteorological attention for multi-year ENSO forecasts

A residual network with geographical and meteorological attention for multi-year ENSO forecasts

IntroductionAs global temperatures continue to rise, extreme weather phenomena such as El Niño and the Southern Oscillation (ENSO) near the equatorial Pacific Ocean are occurring more frequently and leading to tropical cyclones, droughts, and a series of extreme weather disasters. Accurately predict...

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Bibliographic Details
Main Authors: Dan Song, Yuting Ling, Tong Hao, Wenhui Li, Wen Liu, Tongwei Ren, Zhiqiang Wei, An-an Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Marine Science
Subjects:
EI Niño southern oscillation (ENSO)
extreme weather event
deep learning
long-term spatio-temporal forecasting
sea surface temperature forecasting
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1195445/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2023.1195445/full

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