Short-lead seasonal precipitation forecast in northeastern Brazil using an ensemble of artificial neural networks
Abstract This study assesses the deterministic and probabilistic forecasting skill of a 1-month-lead ensemble of Artificial Neural Networks (EANN) based on low-frequency climate oscillation indices. The predictand is the February-April (FMA) rainfall in the Brazilian state of Ceará, which is a promi...
| Asıl Yazarlar: | , |
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| Materyal Türü: | Makale |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2023-11-01
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| Seri Bilgileri: | Scientific Reports |
| Online Erişim: | https://doi.org/10.1038/s41598-023-47841-y |