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

Mewa Singh Dhanoa; Ruth  Sanderson; Ellis J L; Powell C D; Secundino Lopez; Anita Shepherd; L. M. Cardenas; Jim France

doi:10.1079/cabireviews.2023.0009

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

Mewa Singh Dhanoa, Ruth Sanderson, Ellis J L, Powell C D, Secundino Lopez, Anita Shepherd, L. M. Cardenas, Jim France

Aberdeen Centre For Environmental Sustainability

Research output: Contribution to journal › Article › peer-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. 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.

Original language	English
Journal	CABI Reviews
DOIs	https://doi.org/10.1079/cabireviews.2023.0009
Publication status	Published - 16 Mar 2023

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title = "Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures.",

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. 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.",

author = "Dhanoa, {Mewa Singh} and Ruth Sanderson and {J L}, Ellis and {C D}, Powell and Secundino Lopez and Anita Shepherd and Cardenas, {L. M.} and Jim France",

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AU - Sanderson, Ruth

AU - J L, Ellis

AU - C D, Powell

AU - Lopez, Secundino

AU - Shepherd, Anita

AU - Cardenas, L. M.

AU - France, Jim

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AB - 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. 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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M3 - Article

JO - CABI Reviews

JF - CABI Reviews

ER -

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

Abstract

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