Assessing decadal variability of subseasonal forecasts of opportunity using explainable AI

Assessing decadal variability of subseasonal forecasts of opportunity using explainable AI

Identifying predictable states of the climate system allows for enhanced prediction skill on the generally low-skill subseasonal timescale via forecasts with higher confidence and accuracy, known as forecasts of opportunity. This study takes a neural network approach to explore decadal variability o...

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Bibliographic Details
Main Authors: Marybeth C Arcodia, Elizabeth A Barnes, Kirsten J Mayer, Jiwoo Lee, Ana Ordonez, Min-Seop Ahn
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research: Climate
Subjects:
forecasts of opportunity
subseasonal predictability
explainable machine learning
decadal variability
Online Access:https://doi.org/10.1088/2752-5295/aced60

Internet

https://doi.org/10.1088/2752-5295/aced60

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