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Climate change or climate regimes? Examining multi-annual variations in the frequency of precipitation extremes over the Argentine Pampas

机译:气候变化或气候制度?在阿根廷人PAMPAS上检查沉淀极端频率的多年度变化

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摘要

A recent period of increased precipitation over the Argentinian Pampas expanded the boundary of rain-fed agriculture. However, such changes may not be sustainable if they arose from transient climate regime shifts. Considerable research exists on trends and cycles in sub-daily to annual precipitation metrics including the frequency and intensity of extreme precipitation. However, efforts to identify wetter and drier phases (or regimes) in this region are scant. This article aims to bridge that gap and advance our understanding of the multi-annual behavior of regional precipitation extremes, which can have the greatest impacts. It is unlikely that all extreme events are drawn from a single probability distribution or generated by the same physical processes. Hence, hidden mixtures of Poisson distributions are fitted to several precipitation frequency metrics to explore whether the annual to decadal variations in extreme precipitation frequency are greater than anticipated from a single system, and representative of regime shifts. Statistically significant improvements in the fit over single distributions were found for statistical mixture models of the frequency of very wet days, and the frequency of wet spells. This supports the hypothesis that multiple weather regimes exist giving rise to wetter or drier epochs. Posterior probabilities of hidden states from the fitted mixture distributions were used to identify wetter and drier years for comparison with sea surface temperature anomalies. This confirmed the presence of two distinct regimes, supporting other research, into the dynamical influences of precipitation behavior in the Argentine Pampas.
机译:近期,阿根廷潘普斯的降水量增加扩大了雨粮农业的边界。但是,如果从瞬态气候制度转变出现,这种变化可能不是可持续的。存在相当大的研究,以亚日降水指标的趋势和周期存在,包括极端降水的频率和强度。然而,努力识别该地区的潮湿和干燥阶段(或制度)的努力是狭窄的。本文旨在弥补这种差距并推进我们对区域降水极端的多年行为的理解,这可能产生最大的影响。不太可能从单个概率分布或由相同的物理过程产生的所有极端事件。因此,泊松分布的隐藏混合物适用于几种降水频率指标,以探索极端降水频率的年度变化是否大于单个系统的预期,以及代表制度变化。发现拟合单一分布的统计显着改善是对非常潮湿的天频率的统计混合模型以及湿法的频率。这支持假设,即存在潮湿或干燥时期的多个天气制度。与海表面温度异常相比,使用来自拟合混合物分布的隐藏状态的后验概率识别潮湿和干燥的年。这证实了存在两个不同的制度,支持其他研究,进入阿根廷PAMPAs中降水行为的动态影响。

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  • 来源
    《Climate dynamics》 |2019年第2期|245-260|共16页
  • 作者单位

    Natl Ctr Atmospher Res Boulder CO 80309 USA;

    Natl Ctr Atmospher Res Boulder CO 80309 USA;

    Univ Colorado Dept Civil Environm & Architectural Engn Boulder CO 80309 USA|Univ Colorado CIRES Boulder CO 80309 USA;

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  • 正文语种 eng
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