Using Simple, Explainable Neural Networks to Predict the Madden‐Julian Oscillation

Using Simple, Explainable Neural Networks to Predict the Madden‐Julian Oscillation

Abstract Few studies have utilized machine learning techniques to predict or understand the Madden‐Julian oscillation (MJO), a key source of subseasonal variability and predictability. Here, we present a simple framework for real‐time MJO prediction using shallow artificial neural networks (ANNs). W...

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Bibliographic Details
Main Authors: Zane K. Martin, Elizabeth A. Barnes, Eric Maloney
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-05-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Madden‐Julian oscillation
subseasonal‐to‐seasonal prediction
artificial neural network
explainable artificial intelligence
statistical modeling
tropical meteorology
Online Access:https://doi.org/10.1029/2021MS002774

Internet

https://doi.org/10.1029/2021MS002774

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