Indicator Patterns of Forced Change Learned by an Artificial Neural Network

Abstract Many problems in climate science require the identification of signals obscured by both the “noise” of internal climate variability and differences across models. Following previous work, we train an artificial neural network (ANN) to predict the year of a given map of annual‐mean temperatu...

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Bibliographic Details
Main Authors: Elizabeth A. Barnes, Benjamin Toms, James W. Hurrell, Imme Ebert‐Uphoff, Chuck Anderson, David Anderson
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-09-01
Series:Journal of Advances in Modeling Earth Systems
Online Access:https://doi.org/10.1029/2020MS002195