Assessing decadal variability of subseasonal forecasts of opportunity using explainable AI
Identifying predictable states of the climate system allows for enhanced prediction skill on the generally low-skill subseasonal timescale via forecasts with higher confidence and accuracy, known as forecasts of opportunity. This study takes a neural network approach to explore decadal variability o...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IOP Publishing
2023-01-01
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| Serier: | Environmental Research: Climate |
| Fag: | |
| Online adgang: | https://doi.org/10.1088/2752-5295/aced60 |
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