globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-11-00632.1
Scopus记录号: 2-s2.0-84867688279
论文题名:
A test for nonlinearity in temperature proxy records
作者: Støve B.; Ljungqvist F.C.; Thejll P.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期:20
起始页码: 7173
结束页码: 7186
语种: 英语
Scopus关键词: Annual mean temperatures ; Annual resolution ; Climate reconstruction ; Climate record ; Linear functions ; Linear relationships ; Non-Linearity ; Northern Hemispheres ; Paleoclimates ; Proxy records ; Temperature conditions ; Temperature proxy ; Tree rings ; Regression analysis ; Time series ; Statistical tests ; Holocene ; nonlinearity ; paleoclimate ; proxy climate record ; regression analysis ; time series analysis ; tree ring
英文摘要: Are temperature proxy records linear recorders of past temperature conditions? A statistical test for linearity is applied to 15 millennial-long proxy records with an annual resolution that was shown to significantly respond to Northern Hemisphere annual mean temperature selected from a collection of 30 proxies. The test, based on generalized additive modeling, shows that most of the proxies can indeed be shown to be linear functions of annual mean temperature, but two proxy records do not appear to have a linear relationship with temperature-this supports the assumption of linearity in most climate reconstruction work. The method tests for nonlinearity in a proxy relative to the group of proxies with which it is being used together. The robustness of the results is tested, and it was found that the results are stable to the choice of proxies. The linearity-testing method is quite general and could in the future be used for larger and more extensive sets of proxies. © 2012 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52222
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作者单位: Department of Mathematics, University of Bergen, Bergen, Norway; Department of History, Stockholm University, Stockholm, Sweden; Danish Climate Centre, Copenhagen, Denmark

Recommended Citation:
Støve B.,Ljungqvist F.C.,Thejll P.. A test for nonlinearity in temperature proxy records[J]. Journal of Climate,2012-01-01,25(20)
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