Changes in United States Summer Temperatures Revealed by Explainable Neural Networks

Changes in United States Summer Temperatures Revealed by Explainable Neural Networks

Abstract To better understand the regional changes in summertime temperatures across the conterminous United States (CONUS), we adopt a recently developed machine learning framework that can be used to reveal the timing of emergence of forced climate signals from the noise of internal climate variab...

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Bibliographic Details
Main Authors: Zachary M. Labe, Nathaniel C. Johnson, Thomas L. Delworth
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Earth's Future
Subjects:
climate change
climate variability
large ensembles
timing of emergence
forced signals
machine learning
Online Access:https://doi.org/10.1029/2023EF003981

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