Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6042 |
Change point analysis of global temperature records | |
Yu, Michelle1; Ruggieri, Eric2 | |
2019-06-30 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
![]() |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:8页码:3679-3688 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Climate change is the result of complex interactions between a wide array of climatic variables. Over a long period of time, climatic patterns can shift, possibly multiple times. Abrupt shifts that occur over a relatively short period of time are known as change points. During these intervals, different climatic variables may undergo dramatic shifts posing serious consequences for many biological and physical systems. In this paper, we discuss a Bayesian algorithm for detecting the location of change points in time series data. In particular, we utilize our method to analyse five different global surface temperature anomaly data sets, as well as temperature records associated with land, ocean, and different zonal bands in an attempt to identify common features of these data sets. Change points in the five global records were detected between 1902-1917, 1936-1945, and 1963-1976, but do these change points also manifest themselves across other parts of the globe? Our analysis indicates that the timing of change points is consistent from one record to the next, but not all change points appear in all records. In particular, there were more change points in the ocean than on land, and also more change points in southern latitudes than in northern latitudes. |
英文关键词 | Bayesian change point climate change GISTEMP HadCRUT4 temperature anomalies time series zonal bands |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000474160800019 |
WOS关键词 | BINARY SEGMENTATION ; BAYESIAN-ANALYSIS ; COMPUTATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184319 |
专题 | 气候变化 |
作者单位 | 1.Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA; 2.Coll Holy Cross, Dept Math & Comp Sci, Worcester, MA 01610 USA |
推荐引用方式 GB/T 7714 | Yu, Michelle,Ruggieri, Eric. Change point analysis of global temperature records[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(8):3679-3688. |
APA | Yu, Michelle,&Ruggieri, Eric.(2019).Change point analysis of global temperature records.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(8),3679-3688. |
MLA | Yu, Michelle,et al."Change point analysis of global temperature records".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.8(2019):3679-3688. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Yu, Michelle]的文章 |
[Ruggieri, Eric]的文章 |
百度学术 |
百度学术中相似的文章 |
[Yu, Michelle]的文章 |
[Ruggieri, Eric]的文章 |
必应学术 |
必应学术中相似的文章 |
[Yu, Michelle]的文章 |
[Ruggieri, Eric]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论