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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >High-resolution analysis of daily precipitation trends in the central Alps over the last century
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High-resolution analysis of daily precipitation trends in the central Alps over the last century

机译:上个世纪阿尔卑斯山中部日降水量趋势的高分辨率分析

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In this work we present a homogenized high-resolution data set composed of 200 daily precipitation series spanning the last 90 years, located over an area centred on the Trentino-South Tyrol region (central part of the European Alps), in a transition zone between the climates of the southern and northern slopes of the Alps. We analysed the trends of total precipitation (TP), wet days (WD) and average intensity (PI), as well as trends of the number of events and precipitation amounts belonging to 12 different daily intensity categories. For an easier understanding of geographical patterns, we set up a gridded data set in terms of anomalies, with a spatial resolution of 0.1°. All the statistics were analysed for trend over the entire period spanned by the data and on subperiods of variable length. On regional average, we found a weak decrease in TP (about 1%/decade with respect to the 1971-2000 mean) over the entire studied period (1922-2009), which was statistically significant only in spring. Gridded data show that the decrease is related to a reduction in the number of WD in the eastern part of the study area, and a decrement in PI in the western part, with orography playing a clear role in this differentiation. On a daily scale, trends of the strongest events present scarce spatial coherence and are only locally significant, however the results are highly dependent on the period analysed. Comparisons with previous low-resolution studies on the same area underline the importance of a high-resolution data set in characterizing spatial variability of climatic trends in precipitation.
机译:在这项工作中,我们提出了一个均匀的高分辨率数据集,该数据集由过去90年的200个日降水序列组成,位于特伦蒂诺—南蒂罗尔州地区(欧洲阿尔卑斯山的中部)上,位于阿尔卑斯山南部和北部斜坡的气候。我们分析了总降水量(TP),湿天(WD)和平均强度(PI)的趋势,以及属于12种不同日强度类别的事件数量和降水量的趋势。为了更轻松地了解地理模式,我们根据异常情况设置了网格化数据集,其空间分辨率为0.1°。分析所有统计数据在整个数据范围内的变化趋势以及可变长度的子周期。在区域平均水平上,我们发现在整个研究期间(1922-2009年),TP的微弱下降(相对于1971-2000年平均值,约为每十年10%),这仅在春季才具有统计学意义。网格数据显示,减少与研究区域东部的WD数量减少和西部的PI减少有关,地形学在这种区分中起着明显的作用。在日常尺度上,最强事件的趋势呈现出稀缺的空间连贯性,并且仅在局部具有显着性,但是结果高度依赖于所分析的时期。与以前在同一地区进行的低分辨率研究的比较突显了高分辨率数据集在表征降水气候趋势的空间变化方面的重要性。

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