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Data‐Driven Predictions of Peak Warming Under Rapid Decarbonization

Abstract The severe impacts associated with recent record‐setting annual global temperatures elevate the need to accurately predict the hottest conditions that could occur even if the most ambitious decarbonization goals are achieved. We use convolutional neural networks (CNNs) to predict peak globa...

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Bibliografiske detaljer
Principais autores: Noah S. Diffenbaugh, Elizabeth A. Barnes
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2024-12-01
Serier:Geophysical Research Letters
Fag:
Online adgang:https://doi.org/10.1029/2024GL111832
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