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Precipitation response to El Niño/La Niña events in Southern South America ndash; emphasis in regional drought occurrences

机译:南美南部厄尔尼诺/拉尼娜事件对降水的响应-着重于区域干旱事件

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摘要

The ENSO phenomenon is one of the key factors that influence the interannualvariability of precipitation over Southern South America. The aim of thisstudy is to identify the regional response of precipitation to ElNiño/La Niña events, with emphasis in drought conditions. Thestandardized precipitation index (SPI) was used to characterizeprecipitation variabilities through the 1961–2008 period for time scales of3 (SPI3) and 12 (SPI12) months. A regionalization based on rotated principalcomponent analysis allowed to identify seven coherent regions for each ofthe time scales considered. In order to identify the regional influence ofEl Niño and La Niña events on the SPI time series, we calculated themean SPI values for the El Niño and La Niña years and assessed itssignificance through bootstrap analysis. We found coherent and significantSPI responses to ENSO phases in most of the seven regions considered, mainlyfor the SPI12 time series. The precipitation response to La Niña eventsis characterized with regional deficits, identified with negative values ofthe SPI during the end of La Niña year and the year after. During ElNiño events the precipitation response is reversed and moreintense/consistent than in the case of La Niña events. This signal hassome regional differences regarding its magnitude and timing, and thequantification of these features, together with the assessment of the SSTcomposites during drought conditions provided critical baseline informationfor the agricultural and water resources sectors.
机译:ENSO现象是影响南美南部降水年际变化的关键因素之一。本研究的目的是确定降水对ElNiño/ LaNiña事件的区域响应,重点是干旱条件。标准化降水指数(SPI)用于表征1961-2008年期间降水量的变化,时间尺度为3(SPI3)和12(SPI12)个月。基于旋转主成分分析的区域划分可以为每个考虑的时间尺度确定七个相干区域。为了确定厄尔尼诺和拉尼娜事件对SPI时间序列的区域影响,我们计算了厄尔尼诺和拉尼娜年的主题SPI值,并通过自举分析评估了其意义。我们发现在所考虑的七个区域中的大多数区域中,对ENSO相位的连贯且有效的SPI响应,主要是针对SPI12时间序列。对拉尼娜事件的降水响应的特征是区域赤字,在拉尼娜年末和次年的SPI值为负。与拉尼娜事件相比,在厄尔尼诺事件期间,降水响应被逆转并且更加强烈/一致。该信号在幅度和时间上存在一些地区差异,这些特征的量化以及干旱条件下SST复合材料的评估为农业和水资源部门提供了关键的基准信息。

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