Emerging Skill in Multi-Year Prediction of the Indian Ocean Dipole

F. Feba, Karumuri Ashok, Matthew Collins, Satish R. Shetye

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The Indian Ocean Dipole is a leading phenomenon of climate variability in the tropics, which affects the global climate. However, the best lead prediction skill for the Indian Ocean Dipole, until recently, has been limited to ~6 months before the occurrence of the event. Here, we show that multi-year prediction has made considerable advancement such that, for the first time, two general circulation models have significant prediction skills for the Indian Ocean Dipole for at least 2 years after initialization. This skill is present despite ENSO having a lead prediction skill of only 1 year. Our analysis of observed/reanalyzed ocean datasets shows that the source of this multi-year predictability lies in sub-surface signals that propagate from the Southern Ocean into the Indian Ocean. Prediction skill for a prominent climate driver like the Indian Ocean Dipole has wide-ranging benefits for climate science and society.
Original languageEnglish (US)
JournalFrontiers in Climate
StatePublished - Sep 27 2021
Externally publishedYes

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Generated from Scopus record by KAUST IRTS on 2023-09-21


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