{"title":"气候时间序列数据的图表模式","authors":"J. Kaiser","doi":"10.2139/ssrn.3250759","DOIUrl":null,"url":null,"abstract":"The application of chart pattern, or technical, analysis to climate time series data is demonstrated. The technique is known in the field of finance to perform predictions of future changes in prices. It is shown that global average temperature anomalies (HadCRUT4) clearly formed an ascending triangle chart pattern during the period of global warming hiatus since 1998. Even feature details of the chart pattern have been found, including the steep increase which has been observed recently. Relevance and benefit of the chart pattern analysis to research in the global climate system -- or complex physical systems in general -- are discussed.","PeriodicalId":265524,"journal":{"name":"Urban & Regional Resilience eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chart Pattern in Climate Time Series Data\",\"authors\":\"J. Kaiser\",\"doi\":\"10.2139/ssrn.3250759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of chart pattern, or technical, analysis to climate time series data is demonstrated. The technique is known in the field of finance to perform predictions of future changes in prices. It is shown that global average temperature anomalies (HadCRUT4) clearly formed an ascending triangle chart pattern during the period of global warming hiatus since 1998. Even feature details of the chart pattern have been found, including the steep increase which has been observed recently. Relevance and benefit of the chart pattern analysis to research in the global climate system -- or complex physical systems in general -- are discussed.\",\"PeriodicalId\":265524,\"journal\":{\"name\":\"Urban & Regional Resilience eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban & Regional Resilience eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3250759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban & Regional Resilience eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3250759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of chart pattern, or technical, analysis to climate time series data is demonstrated. The technique is known in the field of finance to perform predictions of future changes in prices. It is shown that global average temperature anomalies (HadCRUT4) clearly formed an ascending triangle chart pattern during the period of global warming hiatus since 1998. Even feature details of the chart pattern have been found, including the steep increase which has been observed recently. Relevance and benefit of the chart pattern analysis to research in the global climate system -- or complex physical systems in general -- are discussed.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
