A self-attention–based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions

Large biases and uncertainties remain in real-time predictions of El Niño–Southern Oscillation (ENSO) using process-based dynamical models; recent advances in data-driven deep learning algorithms provide a promising mean to achieve superior skill in the tropical Pacific sea surface temperature (SST)...

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Detalles Bibliográficos
Autores principales: Zhou, Lu, Zhang, Rong-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Earth, Environmental, Ecological, and Space Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995078/
https://www.ncbi.nlm.nih.gov/pubmed/36888711
http://dx.doi.org/10.1126/sciadv.adf2827

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995078/
https://www.ncbi.nlm.nih.gov/pubmed/36888711
http://dx.doi.org/10.1126/sciadv.adf2827

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