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Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data
Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weather events, and climate change. Here, we investigate a supervised machine learning approach based on deformable convolut...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120012/ https://www.ncbi.nlm.nih.gov/pubmed/35589754 http://dx.doi.org/10.1038/s41598-022-12167-8 |