Short-lead seasonal precipitation forecast in northeastern Brazil using an ensemble of artificial neural networks

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 prominent subj...

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Detalles Bibliográficos
Autores principales: Pinheiro, Enzo, Ouarda, Taha B. M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665445/
https://www.ncbi.nlm.nih.gov/pubmed/37993488
http://dx.doi.org/10.1038/s41598-023-47841-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665445/
https://www.ncbi.nlm.nih.gov/pubmed/37993488
http://dx.doi.org/10.1038/s41598-023-47841-y

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