Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing.

Lin Z, Jin Y, He C, Zhang S, McPhaden MJ, Lin X

DOI: 10.1126/sciadv.aec9518
Published: 2026 Jun 12
Container: Science advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.aec9518,
  title = {Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing.},
  author = {Lin Z and Jin Y and He C and Zhang S and McPhaden MJ and Lin X},
  year = {2026},
  journal = {Science advances},
  doi = {10.1126/sciadv.aec9518},
  url = {https://doi.org/10.1126/sciadv.aec9518}
}

RIS

TY  - JOUR
TI  - Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing.
AU  - Lin Z
AU  - Jin Y
AU  - He C
AU  - Zhang S
AU  - McPhaden MJ
AU  - Lin X
PY  - 2026
JO  - Science advances
DO  - 10.1126/sciadv.aec9518
UR  - https://doi.org/10.1126/sciadv.aec9518
ER  -

APA

Z, L., Y, J., C, H., S, Z., MJ, M., & X, L. (2026). Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing.. Science advances. https://doi.org/10.1126/sciadv.aec9518

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pubmed · retrieved 2026-09-26T00:04:32.691Z