1998
DOI: 10.2307/1244211
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Use of El Niño Climate Forecasts in Australia

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Cited by 14 publications
(10 citation statements)
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“…Australian grain farmers thus face a higher production volatility than most other grain-exporting countries (Kimura and Le Thi 2011). According to Podbury et al (1998), the coefficient of variation of de-trended Australian wheat yield from 1960 to 1997 was 19%, compared with 7% for the USA. The major source of the year-to-year rainfall variation is the El Niño Southern Oscillation (ENSO) (McBride and Nicholls 1983;Manton et al 2006;Risbey et al 2009).…”
Section: Wheat In Winter-rainfall Environmentsmentioning
confidence: 99%
“…Australian grain farmers thus face a higher production volatility than most other grain-exporting countries (Kimura and Le Thi 2011). According to Podbury et al (1998), the coefficient of variation of de-trended Australian wheat yield from 1960 to 1997 was 19%, compared with 7% for the USA. The major source of the year-to-year rainfall variation is the El Niño Southern Oscillation (ENSO) (McBride and Nicholls 1983;Manton et al 2006;Risbey et al 2009).…”
Section: Wheat In Winter-rainfall Environmentsmentioning
confidence: 99%
“…Despite a high level of water infrastructure investment, Australia's irrigated agricultural production still remains variable, driven by highly variable weather sequences (Podbury et al, 1998). Australia's climate is amongst the most variable in the world resulting in high variation of rainfall and streamflow (Finlayson & McMahon, 1991, Chiew & McMahon, 2003.…”
Section: Introductionmentioning
confidence: 99%
“…While lengthy time series of rainfall data certainly exist, more than 50 years of data will still not guarantee an accurate probability assessment. For example, the El Niño Southern Oscillation (ENSO) phenomenon could change the probability of the insured events (Podbury et al, 1998). Therefore, it may be necessary to adjust the cost of the insurance when an ENSO event is confirmed, although this would require sufficient lead-time between knowledge of the pending event and the time of selling insurance.…”
Section: Methodsmentioning
confidence: 99%