Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

M. S. Dhanoa, R. Sanderson, J. L. Ellis, C. D. Powell, S. López, A. Shepherd, L. M. Cardenas, J. France*

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

1 Citation (Scopus)

Abstract

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.

Keywords

  • extreme value distribution
  • kurtosis
  • maximum temperature
  • range to standard deviation ratio distribution
  • split-line model
  • structural patterns

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