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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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2024-12-01
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| Серія: | Geophysical Research Letters |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1029/2024GL111832 |
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