评估El Niño-Southern振荡期对南非豪登省降雨变率的影响

Abraham S Steyn, Tshedza Matladi
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摘要

摘要南非的降雨量变化较大,厄尔尼诺Niño-Southern涛动(ENSO)是整个夏季降雨区域最重要的驱动因素。本研究的目的是将ENSO阶段与南非人口稠密和经济重要的豪登省的历史降雨变化联系起来。利用1960-2021年的月降水总量计算5个站点不同时间尺度的标准化降水指数(SPI)值。利用海洋Niño指数(ONI)根据ENSO相进行季节分类。对于每个站点,在特定的ENSO阶段中出现的湿润季节、接近正常季节或干旱季节的数量被计算出来,并用于计算发生的概率。尽管研究区域相对较小,但结果显示空间不均匀性。对3个月和6个月周期的分析表明,春季和秋季El Niño事件更频繁地发生干燥条件,但夏季和秋季La Niña事件很少发生干燥条件。对12个月周期的分析显示,无论ENSO阶段如何,接近正常的情况发生得最频繁,在La Niña下经历潮湿而不是干燥的机会增加。这些信息可以帮助不同的决策者更好地利用季节气候预测。关键词:海洋Niño指数(ONI)概率标准化降水指数(SPI)致谢南非气象局(SAWS)提供的气候数据作者谨感谢自由邦大学统计咨询股的投入。利益冲突作者声明他们没有利益冲突。
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Assessing the influence of the El Niño–Southern Oscillation phase on rainfall variability in the Gauteng province of South Africa
AbstractSouth Africa is subject to large rainfall variability, with El Niño–Southern Oscillation (ENSO) being the most important driver across the summer rainfall region. The aim of this study was to relate ENSO phase to historical rainfall variability over the densely populated and economically important Gauteng province of South Africa. Monthly rainfall totals for the period 1960–2021 were used to calculate Standardised Precipitation Index (SPI) values at different timescales for five stations. The Oceanic Niño Index (ONI) was used to classify seasons according to ENSO phase. For each station, the number of wet, near-normal or dry seasons falling in a particular ENSO phase was tallied and used to calculate probabilities of occurrence. Results revealed spatial inhomogeneities despite the study area being relatively small. Analysis of 3- and 6-month periods revealed that dry conditions occur more frequently during spring and autumn El Niño events, but are very unlikely during summer and autumn La Niña events. Analysis of 12-month periods revealed that near-normal conditions occur most frequently regardless of ENSO phase, with an increased chance of experiencing wet as opposed to dry conditions under La Niña. This information can aid various decision-makers to make better use of seasonal climate predictions.Keywords: Oceanic Niño Index (ONI)probabilityStandardised Precipitation Index (SPI) AcknowledgementsClimate data supplied by the South African Weather Service (SAWS). The authors wish to extend their thanks to the Statistical Consultation Unit at the University of the Free State for their input.Conflict of interestThe authors declare that they have no conflict of interest.
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来源期刊
South African Journal of Plant and Soil
South African Journal of Plant and Soil Agricultural and Biological Sciences-Plant Science
CiteScore
1.90
自引率
11.10%
发文量
32
期刊介绍: The Journal has a proud history of publishing quality papers in the fields of applied plant and soil sciences and has, since its inception, recorded a vast body of scientific information with particular reference to South Africa.
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