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Connecting European snow cover variability with large scale atmospheric patterns

机译:将欧洲积雪变化与大规模大气模式联系起来

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Winter snowfall and its temporal variability are important factorsin the development of water management strategies forsnow-dominated regions. For example, mountain regions of Europerely on snow for recreation, and on snowmelt for water supply andhydropower. It is still unclear whether in these regions the snowregime is undergoing any major significant change. Moreover, snowinterannual variability depends on different climatic variables,such as precipitation and temperature, and their interplay withatmospheric and pressure conditions. This paper uses the EASEGrid weekly snow cover and Ice Extent database from the NationalSnow and Ice Data Center to assess the possible existence oftrends in snow cover across Europe. This database provides arepresentation of snow cover fields in Europe for the period1972–2006 and is used here to construct snow cover indices, bothin time and space. These indices allow us to investigate thehistorical spatial and temporal variability of European snow coverfields, and to relate them to the modes of climate variabilitythat are known to affect the European climate. We find that boththe spatial and temporal variability of snow cover are stronglyrelated to the Arctic Oscillation during wintertime. In the otherseasons, weaker correlation appears between snow cover and theother patterns of climate variability, such as the East Atlantic,the East Atlantic West Russia, the North Atlantic Oscillation, thePolar Pattern and the Scandinavian Pattern.
机译:冬季降雪及其随时间的变化是雪域地区水资源管理战略发展的重要因素。例如,欧洲的山区依靠雪进行娱乐,而依靠融雪进行供水和水力发电。尚不清楚在这些地区降雪情况是否正在发生任何重大的重大变化。此外,雪的年际变化取决于不同的气候变量,例如降水和温度,以及它们与大气和压力条件的相互作用。本文使用了美国国家冰雪数据中心的EASEGrid每周积雪和冰覆盖范围数据库来评估整个欧洲积雪趋势的可能。该数据库提供了1972-2006年期间欧洲积雪场的表示,并在此用于构建时间和空间上的积雪指数。这些指数使我们能够研究欧洲积雪场的历史时空变化,并将它们与已知会影响欧洲气候的气候变化模式联系起来。我们发现,冬季积雪的时空变化都与北极涛动密切相关。在其他季节,积雪与其他气候变化模式之间的相关性较弱,例如东大西洋,俄罗斯东大西洋,北大西洋涛动,北极模式和斯堪的纳维亚模式。

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