Spatiotemporal neural network with attention mechanism for El Niño forecasts

To learn spatiotemporal representations and anomaly predictions from geophysical data, we propose STANet, a spatiotemporal neural network with a trainable attention mechanism, and apply it to El Niño predictions for long-lead forecasts. The STANet makes two critical architectural improvements: it le...

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Detalles Bibliográficos
Autores principales: Kim, Jinah, Kwon, Minho, Kim, Sung-Dae, Kug, Jong-Seong, Ryu, Joon-Gyu, Kim, Jaeil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065152/
https://www.ncbi.nlm.nih.gov/pubmed/35504925
http://dx.doi.org/10.1038/s41598-022-10839-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065152/
https://www.ncbi.nlm.nih.gov/pubmed/35504925
http://dx.doi.org/10.1038/s41598-022-10839-z

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