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Droughts and extreme events in regional daily italian precipitation series

机译:意大利区域每日降水序列中的干旱和极端事件

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This paper proposes a methodology to study daily precipitation series that include a significant proportion of missing data, without resorting to completion methods based on randomly generated numbers. It is applied to a data set consisting of 75 station records (1951-2000) covering the Italian territory. They are clustered by principal component analysis into six rgions: the north-west, the northern part of the north-east, the southern part of the north-east, the centre, the south and the islands (i.e. Sicily and Sardinia). Complete annual and seasonal regional average series are obtained from the incomplete station records, and analysed for droughts and extreme precipitation events. Droughts are identified by means of two indicators: the longest dry period and the proportion of dry days. The most remarkable result is a systematic increase in winter droughts over all of Italy, especially in the north, due mainly to the very dry 1987-93 period. Extreme events are analysed considering 5 day regional totals. In this case, however, an attempt to search for a statistically significant trend is not successful because of the scarcity of events in such a short period. The reliability of the regional series is checked by computing some basic statistics concerning total precipitation, rainy days and precipitation intensity and comparing them with the same statistics computed for regional series obtained by station records completed with methods based on random number generators.
机译:本文提出了一种研究每日降水序列的方法,该方法包括很大比例的缺失数据,而无需借助基于随机生成数字的完成方法。它应用于包含75个覆盖意大利领土的站点记录(1951-2000)的数据集。通过主成分分析将它们分为六个区域:西北,东北北部,东北南部,中部,南部和岛屿(即西西里岛和撒丁岛)。从不完整的台站记录中可以获得完整的年度和季节性区域平均值序列,并分析干旱和极端降水事件。通过两个指标来识别干旱:最长的干旱期和干旱天数的比例。最显着的结果是整个意大利,特别是北部的冬季干旱都有系统地增加,这主要是由于1987-93年非常干旱的时期。考虑了5天的区域总数来分析极端事件。但是,在这种情况下,由于在如此短的时间内缺乏事件,因此尝试搜索具有统计学意义的趋势是不成功的。通过计算有关总降水量,雨天和降水强度的一些基本统计数据,并将它们与通过使用基于随机数发生器的方法完成的台站记录获得的区域序列计算的相同统计数据进行比较,可以检查区域序列的可靠性。

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