The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Historic Yangtze flooding of 2020 tied to extreme Indian Ocean conditions
Open accessAbstract
Significance: Summer rainfall along the Yangtze River in 2020 was the heaviest since 1961, with devastating socioeconomic impacts. While official forecasts based on tropical Pacific state failed, we show that dynamic models, when initialized with ocean observations globally, succeed in predicting the extreme rainfall. Slowly propagating oceanic Rossby waves in the South Indian Ocean are the source of predictability, which are in turn tied to the record-breaking Indian Ocean Dipole in late 2019. The identification of antecedent subsurface conditions of the Indian Ocean as a key predictor represents an important conceptual advance in Asian summer monsoon dynamics, helping improve disaster preparation that saves lives and properties.
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Cites
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Metadata
- Authors
- Zhou, Z.-Q., Xie, S.-P., & Zhang, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2021-03-08
- Volume
- 118
- Issue
- 12
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3134888601
- Cited by
- 367
- References
- 33
- FWCI
- 26.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
