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Characteristics of autumn-winter extreme precipitation on the Norwegian west coast identified by cluster analysis

机译:聚类分析确定挪威西海岸秋冬季极端降水特征

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摘要

Extremely high autumn and winter precipitation events on the European west coast are often driven by low-pressure systems in the North Atlantic. Climate projections suggest the number and intensity of these events is likely to increase far more than the mean precipitation. In this study we investigate the autumn-winter extreme precipitation on the Norwegian west coast and the connection between its spatial distribution and sea level pressure (SLP) patterns using the k-means cluster analysis. We use three relatively high resolved downscalings of one global coupled model: the Arpege global atmospheric model (stretched grid with 35-km horizontal resolution over Norway) and the WRF-downscaled Arpege model (30 and 10-km) for the 30-year periods of 1961-1990 and 2021-2050. The cluster analysis finds three main SLP patterns responsible for extreme precipitation in different parts of the country. The SLP patterns found are similar to the NAO positive pattern known to strengthen the westerly flow towards European coast. We then apply the method to investigate future change in extreme precipitation. We find an increase in the number of days with extreme precipitation of 15,39 and 35% in the two simulations (Arpege 35-km and WRF 30 and 10-km, respectively). We do not find evidence of a significant change in the frequency of weather patterns between the present and the future periods. Rather, it is the probability of a given weather pattern to cause extreme precipitation which is increased in the future, probably due to higher temperatures and an increased moisture content of the air. The WRF model predicts the increase in this probability caused by the most important SLP patterns to be >50%. The Arpege model does not predict such a significant change because the general increase in extreme precipitation predicted is smaller, probably due to its coarser resolution over ocean which leads to smoother representation of the low pressure systems.
机译:欧洲西海岸的极高的秋季和冬季降水事件通常是由北大西洋的低压系统驱动的。气候预测表明,这些事件的数量和强度增加的幅度可能远远超过平均降水量。在这项研究中,我们使用k均值聚类分析研究了挪威西海岸的秋冬季极端降水及其空间分布与海平面压力(SLP)模式之间的联系。对于一个全球耦合模型,我们使用了三个相对较高的解析后降尺度:Arpege全球大气模型(挪威水平分辨率为35 km的拉伸网格)和WRF缩减了30年周期的Arpege模型(30和10 km) 1961-1990和2021-2050。聚类分析发现了导致该国不同地区极端降水的三种主要SLP模式。发现的SLP模式类似于已知的NAO阳性模式,可以增强向欧洲海岸的西风流动。然后,我们应用该方法调查极端降水的未来变化。我们发现,在两次模拟(分别为Arpege 35公里和WRF 30公里和10公里)中,极端降水的天数增加了15,39和35%。我们没有找到证据表明当前和未来期间天气模式的频率有重大变化。而是,给定天气模式导致极端降水的可能性,未来可能会由于温度升高和空气中水分含量增加而增加。 WRF模型预测,由最重要的SLP模式导致的这种可能性的增加> 50%。 Arpege模型无法预测如此大的变化,因为预测的极端降水的总体增加幅度较小,这可能是由于其在海洋上的分辨率较粗,导致低压系统的表示更加平滑。

著录项

  • 来源
    《Climate dynamics》 |2012年第4期|p.929-939|共11页
  • 作者

    U. Heikkilae; A. Sorteberg;

  • 作者单位

    Uni Bjerknes Centre, Bjerknes Centre for Climate Research,Bergen, Norway,Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, NSW, Australia;

    Geophysical Institute, University of Bergen, Bergen, Norway,Bjerknes Centre for Climate Research, University of Bergen,Bergen, Norway;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    extreme precipitation; high resolution climate; cluster analysis; WRF; arpege; norway;

    机译:极端降水;高分辨率气候;聚类分析;WRF;恳求挪威;

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