Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole

As one of the most predominant interannual variabilities, the Indian Ocean Dipole (IOD) exerts great socio-economic impacts globally, especially on Asia, Africa, and Australia. While enormous efforts have been made since its discovery to improve both climate models and statistical methods for better...

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Detalles Bibliográficos
Autores principales: Ling, Fenghua, Luo, Jing-Jia, Li, Yue, Tang, Tao, Bai, Lei, Ouyang, Wanli, Yamagata, Toshio
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/PMC9744903/
https://www.ncbi.nlm.nih.gov/pubmed/36509809
http://dx.doi.org/10.1038/s41467-022-35412-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744903/
https://www.ncbi.nlm.nih.gov/pubmed/36509809
http://dx.doi.org/10.1038/s41467-022-35412-0

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