M. Dhanoa, R. Sanderson, J. Ellis, C. Powell, S. López, A. Shepherd, L. Cardenas, J. France
{"title":"受极端季节最高温度影响的范围大小变化的统计检验","authors":"M. Dhanoa, R. Sanderson, J. Ellis, C. Powell, S. López, A. Shepherd, L. Cardenas, J. France","doi":"10.1079/cabireviews.2023.0009","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":399225,"journal":{"name":"CABI Reviews","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures\",\"authors\":\"M. Dhanoa, R. Sanderson, J. Ellis, C. Powell, S. López, A. Shepherd, L. Cardenas, J. France\",\"doi\":\"10.1079/cabireviews.2023.0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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.\",\"PeriodicalId\":399225,\"journal\":{\"name\":\"CABI Reviews\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CABI Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/cabireviews.2023.0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CABI Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/cabireviews.2023.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.