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

Published in:	Environmental Research: Climate
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
Subjects:	forecasts of opportunity subseasonal predictability explainable machine learning decadal variability
Online Access:	https://doi.org/10.1088/2752-5295/aced60