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Freezing of lakes on the Swiss plateau in the period 1901-2006

机译:1901-2006年间瑞士高原湖泊的冰冻

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Data of ice cover for deep Alpine lakes contain relevant climatological information since ice cover and winter temperature are closely related. For the first time, ice cover data from 11 lakes on the Swiss plateau have been collected and analysed for the period 1901-2006. The ice cover data used stem from systematic registration by individuals or groups (fishermen, an ice club and lake security service) and from several national, regional and local newspapers. It is found that in the past 40 years, and especially during the last two decades, ice cover on Swiss lakes was significantly reduced. This is in good agreement with the observed increase in the winter temperature in this period. The trend of reduced ice cover is more pronounced for lakes that freeze rarely than for the lakes that freeze more frequently. This agrees well with the stronger relative decrease in the probability to exceed the SLIM of negative degree days (NDD) needed for freezing the lakes that rarely freeze. The ice cover data are related with the temperature measurements such as the sum of NDD of nearby official meteorological stations by means of binomial logistic regression. The derived relationships estimate the probability of a complete ice cover on a lake as function of the sum of NDD. The sums of NDD needed are well related to the average depth of the lake (r(NDD-Depth) = 0.85). Diagnosing lake ice cover on the basis of the sum of NDD is much better than a prediction on the basis of a climatological freezing frequency. The variance of lake ice cover that cannot be explained by the sum of NDD is important for judging the uncertainty associated with climate reconstruction on the basis of data on lake ice cover. Copyright (C) 2007 Royal Meteorological Society.
机译:由于高山冰川和冬季温度密切相关,因此深高山湖泊的冰川覆盖数据包含相关的气候信息。第一次收集并分析了1901-2006年间瑞士高原11个湖泊的冰盖数据。所使用的冰盖数据来自个人或团体(渔民,冰俱乐部和湖泊安全机构)以及一些国家,地区和地方报纸的系统注册。结果发现,在过去的40年中,尤其是在过去的20年中,瑞士湖泊的冰盖大大减少了。这与在此期间观察到的冬季温度升高非常吻合。对于很少结冰的湖泊,比经常结冰的湖泊,冰盖减少的趋势更为明显。这与使很少结冰的湖泊结冰所需的超过负度日SLIM(NDD)的可能性相比有更大的相对下降,这是很好的。冰盖数据与温度测量有关,例如通过二项式逻辑回归分析附近官方气象站的NDD之和。推导的关系估计了湖上完全冰盖的概率与NDD之和的函数。所需的NDD总和与湖泊的平均深度密切相关(r(NDD-Depth)= 0.85)。根据NDD的总和来诊断湖泊冰盖要比基于气候冻结频率的预测要好得多。无法用NDD的总和来解释的湖泊冰盖变化对于根据湖泊冰盖数据判断与气候重建有关的不确定性很重要。皇家气象学会(C)2007。

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