Prediction of global rainfall probabilities using phases of the Southern Oscillation Index
Article
Article Title | Prediction of global rainfall probabilities using phases of the Southern Oscillation Index |
---|---|
ERA Journal ID | 17479 |
Article Category | Article |
Authors | Stone, Roger C. (Author), Hammer, Graeme L. (Author) and Marcussen, Torben (Author) |
Journal Title | Nature |
Journal Citation | 384 (6606), pp. 252-255 |
Number of Pages | 4 |
Year | 1996 |
Publisher | Nature Publishing Group |
Place of Publication | United Kingdom |
ISSN | 0028-0836 |
0090-0028 | |
0300-8746 | |
1476-4687 | |
Digital Object Identifier (DOI) | https://doi.org/10.1038/384252a0 |
Web Address (URL) | http://www.nature.com/nature/journal/v384/n6606/abs/384252a0.html |
Abstract | THE El Niño/Southern Oscillation (ENSO) is a quasi-periodic interannual variation in global atmospheric and oceanic circulation patterns, known to be correlated with variations in the global pattern of rainfall1−3. Good predictive models for ENSO, if they existed, would allow accurate prediction of global rainfall variations, thus leading to better management of world agricultural production4,5, as well as improving profits and reducing risks for farmers6,7. But our current ability to predict ENSO variation is limited. Here we describe a probabilistic rainfall 'forecasting' system that does not require ENSO predictive ability, but is instead based on the identification of lag-relationships between values of the Southern Oscillation Index, which provides a quantitative measure of the phase of the ENSO cycle, and future rainfall. The system provides rainfall probability distributions three to six months in advance for regions worldwide, and is simple enough to be incorporated into management systems now. |
Keywords | Southern Oscillation Index; rainfall prediction |
ANZSRC Field of Research 2020 | 300205. Agricultural production systems simulation |
370202. Climatology | |
410404. Environmental management | |
Public Notes | Electronic copy of Author's version unavailable. |
Byline Affiliations | Department of Primary Industries and Fisheries, Queensland |
Department of Primary Industries, Queensland |
https://research.usq.edu.au/item/9yz22/prediction-of-global-rainfall-probabilities-using-phases-of-the-southern-oscillation-index
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