Data_Sheet_1_Emerging Skill in Multi-Year Prediction of the Indian Ocean Dipole.pdf
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-yea...
Main Authors: | , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3389/fclim.2021.736759.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Emerging_Skill_in_Multi-Year_Prediction_of_the_Indian_Ocean_Dipole_pdf/16684948 |
Summary: | 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. |
---|