受极端季节最高温度影响的范围大小变化的统计检验

M. Dhanoa, R. Sanderson, J. Ellis, C. Powell, S. López, A. Shepherd, L. Cardenas, J. France
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引用次数: 0

摘要

地球上的任何地理位置都有其最高日温度的季节性模式。气候变化导致的极端温度事件可能会扰乱这种模式,并造成温度范围的变化。这种变化的显著性可以通过使用极差与标准差之比的分布对最高温度范围数据进行统计分析来检验。结构模式趋势、百分位数和峰度摘要揭示了季节温度的更多细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures
Any geo-position on Earth will have its own seasonal pattern of maximum day temperatures. Climate change driven extreme temperature episodes may disturb such patterns and create temperature range changes. The significance of such changes can be tested statistically by maximum temperature range data analysis using the distribution of the ratio of range to standard deviation. Structural pattern trends, percentiles and kurtosis summaries bring out more details of seasonal temperatures.
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