Statistical analysis of temperature extremes in long-time series from Uppsala

被引：0
|
作者：
Jesper Rydén
机构：
[1] Uppsala University,Department of Mathematics
来源：
Theoretical and Applied Climatology | 2011年 / 105卷
关键词：
Annual Maximum; Kendall Test; Gumbel Distribution; Annual Minimum; Extremal Observation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Temperature records in Uppsala, Sweden, during the period 1840–2001, are analysed. More precisely, yearly maxima and minima are studied in order to investigate possible trends. Extreme-value distributions are fitted, and a nonstationary model is introduced by allowing for a time-dependent location parameter. Comparisons are made with an estimated trend for mean temperature. In addition, a Mann–Kendall test is performed in order to investigate a present trend. The results obtained from the statistical models agree with those found earlier by descriptive statistics, in particular an increasing trend for the coldest days of the year.
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页码：193 / 197
页数：4
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