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Early warning of the Indian Ocean Dipole using climate network analysis.

ABSTRACT: SignificanceThe Indian Ocean Dipole (IOD), an air-sea coupled phenomenon over the tropical Indian Ocean, has substantial impacts on the climate, ecosystems, and society. Due to the winter predictability barrier, however, a reliable prediction of the IOD has been limited to 3 or 4 mo in advance. Our work approaches this problem from a new data-driven perspective: the climate network analysis. Using this network-based method, an efficient early warning signal for the IOD event was revealed in boreal winter. Our approach can correctly predict the IOD events one calendar year in advance (from December of the previous year) with a hit rate of higher than 70%, which strongly outperforms current dynamic models.

SUBMITTER: Lu Z

PROVIDER: S-EPMC8931208 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Early warning of the Indian Ocean Dipole using climate network analysis.

Lu Zhenghui Z Dong Wenjie W Lu Bo B Yuan Naiming N Ma Zhuguo Z Bogachev Mikhail I MI Kurths Juergen J

Proceedings of the National Academy of Sciences of the United States of America 20220307 11

SignificanceThe Indian Ocean Dipole (IOD), an air-sea coupled phenomenon over the tropical Indian Ocean, has substantial impacts on the climate, ecosystems, and society. Due to the winter predictability barrier, however, a reliable prediction of the IOD has been limited to 3 or 4 mo in advance. Our work approaches this problem from a new data-driven perspective: the climate network analysis. Using this network-based method, an efficient early warning signal for the IOD event was revealed in bore ...[more]

PMID: 35254900

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