Explaining the high skill of reservoir computing methods in El Niño prediction

<p>Accurate prediction of the extreme phases of the El Niño–Southern Oscillation (ENSO) is important to mitigate the socioeconomic impacts of this phenomenon. It has long been thought that prediction skill was limited to a 6-month lead time. However, machine learning methods have shown to have...

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Bibliographic Details
Main Authors: F. Guardamagna, C. Wieners, H. A. Dijkstra
Format: Article
Language:English
Published: Copernicus Publications 2025-07-01
Series:Nonlinear Processes in Geophysics
Online Access:https://npg.copernicus.org/articles/32/201/2025/npg-32-201-2025.pdf
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