Cargando…
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)...
Autores principales: | Zhou, Lu, Zhang, Rong-Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
|
Materias: | |
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 |
Ejemplares similares
-
Volcanic forcing degrades multiyear-to-decadal prediction skill in the tropical Pacific
por: Wu, Xian, et al.
Publicado: (2023) -
Effects of local domestication warrant attention in honey bee population genetics
por: Lin, Zheguang, et al.
Publicado: (2023) -
River network rearrangements promote speciation in lowland Amazonian
birds
por: Musher, Lukas J., et al.
Publicado: (2022) -
Emergent properties of species-habitat networks in an insular forest landscape
por: Palmeirim, Ana Filipa, et al.
Publicado: (2022) -
Gaps and weaknesses in the global protected area network for safeguarding at-risk species
por: Zeng, Yiwen, et al.
Publicado: (2023)