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Data-driven predictions of the time remaining until critical global warming thresholds are reached
Leveraging artificial neural networks (ANNs) trained on climate model output, we use the spatial pattern of historical temperature observations to predict the time until critical global warming thresholds are reached. Although no observations are used during the training, validation, or testing, the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963891/ https://www.ncbi.nlm.nih.gov/pubmed/36716375 http://dx.doi.org/10.1073/pnas.2207183120 |