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Variability and trends in England and Wales precipitation

机译:英格兰和威尔士降水的变异性和趋势

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The England and Wales precipitation (EWP) dataset is a homogeneous time series of daily accumulations from 1931 to 2014, composed from rain gauge observations spanning the region. The daily regional-average precipitation statistics are shown to be well described by a Weibull distribution, which is used to define extremes in terms of percentiles. Computed trends in annual and seasonal precipitation are sensitive to the period chosen, due to large variability on interannual and decadal timescales. Atmospheric circulation patterns associated with seasonal precipitation variability are identified. These patterns project onto known leading modes of variability, all of which involve displacements of the jet stream and storm-track over the eastern Atlantic. The intensity of daily precipitation for each calendar season is investigated by partitioning all observations into eight intensity categories contributing equally to the total precipitation in the dataset. Contrary to previous results based on shorter periods, no significant trends of the most intense categories are found between 1931 and 2014. The regional-average precipitation is found to share statistical properties common to the majority of individual stations across England and Wales used in previous studies. Statistics of the EWP data are examined for multi-day accumulations up to 10days, which are more relevant for river flooding. Four recent years (2000, 2007, 2008 and 2012) have a greater number of extreme events in the 3- and 5-day accumulations than any previous year in the record. It is the duration of precipitation events in these years that is remarkable, rather than the magnitude of the daily accumulations.
机译:英格兰和威尔士降水(EWP)数据集是1931年至2014年每日累积的均匀时间序列,由该地区的雨量计观测值组成。每天的区域平均降水量统计数据可以用韦布尔分布很好地描述,该分布用于定义百分位数的极端值。由于年际和年代际时间尺度的巨大差异,年度和季节性降水的计算趋势对所选时期很敏感。确定了与季节性降水变化相关的大气环流模式。这些模式投射到已知的领先可变性模式上,所有这些都涉及喷射流的位移和东大西洋上空的风暴轨迹。通过将所有观测值划分为八个强度类别,以平均地贡献数据集中的总降水量,来研究每个日历季节的每日降水强度。与以前基于较短时间的结果相反,在1931年至2014年之间没有发现最强烈的类别的显着趋势。发现区域平均降水与先前研究中使用的英格兰和威尔士大多数单个站点的统计特性相同。 。对EWP数据的统计数据进行了长达10天的多天累积量检查,这与洪水有关。最近4年(2000年,2007年,2008年和2012年)在3天和5天累积中发生的极端事件数量超过记录中的任何前一年。值得注意的是这些年降水事件的持续时间,而不是每日积累的数量。

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