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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Separation of the time periods with dominant climatologic parameters by multivariate statistical analysis
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Separation of the time periods with dominant climatologic parameters by multivariate statistical analysis

机译:通过多元统计分析分离主要气候参数时间段

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摘要

Climatology is one of the areas that rely on collecting huge quantities of data. The longer a time period is observed, the better; the more parameters are included, the better. But the human mind cannot easily extract useful information from the abundance of data; thus, many valuable facts may be overlooked. Having that in mind, the authors of this paper have focused on the data condensation with the goal of gathering more information about the underlying trends of the main climatologic parameters change to show climatic variability. The data from the Belgrade Meteorological Observatory are analysed using a number of different methods of multivariate statistical analysis. Separation of the years and time periods with similar weather pattern characteristics was successful and indicates that there is a trend of temperature increase, as well as a trend of the temperature range decrease.
机译:气候学是依赖收集大量数据的领域之一。观察到的时间越长越好;包含的参数越多越好。但是人的思想无法轻易地从大量数据中提取有用的信息。因此,许多有价值的事实可能会被忽略。考虑到这一点,本文的作者集中于数据压缩,目的是收集更多有关主要气候参数变化的潜在趋势的信息,以显示气候变异性。使用多种不同的多元统计分析方法,对贝尔格莱德气象台的数据进行了分析。成功分离具有相似天气模式特征的年和时间段,这表明存在温度升高的趋势以及温度范围降低的趋势。

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