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Compound temperature and precipitation extreme events in southern South America: associated atmospheric circulation, and simulations by a multi-RCM ensemble

机译:南美洲南部的复合温度和降水极端事件:相关的大气环流和多RCM合奏的模拟

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ABSTRACT: In this paper we analyse the joint distribution of extreme temperature and heavy precipitation events in southern South America during 1961-2000, and the predominant atmospheric circulation associated with the occurrence of compound extreme events. We show that the probability of occurrence of intense precipitation (daily rainfall higher than the 75th percentile) significantly increases during or following a warm night (minimum temperature higher than the 90th percentile), but decreases during a cold night (minimum temperature lower than the 10th percentile) during the warm season. Heavy precipitation events are associated with the simultaneous occurrence of warm days (maximum temperature higher than the 90th percentile) or following such an event in eastern Argentina, but they rarely occur before. In contrast, cold days (maximum temperature lower than the 10th percentile) happen more often after an intense rain. Compound events are usually associated with 1 or 2 typical circulation patterns in each subregion. For example, warm days and heavy precipitation tends to occur more often when a trough over the Pacific Ocean and a cold front over the continent lead to warm and wet air advected to the east of the region of study. We also analysed the skill of 7 regional climate models from the CLARIS LPB project to simulate the statistical relationship between temperature and precipitation extremes in 1990-2000. Overall, models were able to simulate an increase in the probability of occurrence of extreme rainfall during warm nights and cold days, and an inhibition of precipitation during cold nights. However, models tend to fail to capture the spatial distribution of the compound extreme events in southeastern South America.
机译:摘要:在本文中,我们分析了1961-2000年南美洲南部极端温度和强降水事件的联合分布,以及与复合极端事件的发生相关的主要大气环流。我们显示,在温暖的夜晚(最低温度高于90%的百分数)期间或之后,发生强降水(每日降雨量高于第75个百分位数)的概率显着增加,而在寒冷的夜晚(最低温度低于10分之十的概率)降低百分位数)。在阿根廷东部,强降水事件与同时发生的温暖天气(最高温度高于第90个百分位)或随后发生有关,但以前很少发生。相反,在强降雨之后,寒冷的日子(最高温度低于10%的百分数)发生得更多。复合事件通常与每个子区域中的1或2种典型循环模式相关。例如,当太平洋上的低谷和大陆上的冷锋导致向研究区域东部平流的温暖和潮湿的空气时,温暖的日子和大量的降水往往会更加频繁地发生。我们还分析了CLARIS LPB项目的7种区域气候模型的技能,以模拟1990-2000年温度与极端降水之间的统计关系。总体而言,模型能够模拟在温暖的夜晚和寒冷的日子出现极端降雨的可能性增加,以及在寒冷的夜晚抑制降雨的可能性。但是,模型往往无法捕获南美东南部复合极端事件的空间分布。

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