globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-15-0457.1
Scopus记录号: 2-s2.0-84959425704
论文题名:
Spectral characteristics of instrumental and climate model surface temperatures
作者: Fredriksen H.-B.; Rypdal K.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期:4
起始页码: 1253
结束页码: 1268
语种: 英语
Scopus关键词: Atmospheric temperature ; Oceanography ; Surface properties ; Surface waters ; General circulation ; Global temperatures ; Long memory process ; Model surface temperature ; Power law exponent ; Sea surface temperature (SST) ; Spectral characteristics ; Temperature variability ; Climate models ; climate modeling ; general circulation model ; power law ; surface temperature ; teleconnection
英文摘要: The spatiotemporal temperature variability for several gridded instrumental and general circulation climate model data is characterized, contrasting power spectra of local and global temperatures, land and sea temperatures, and temperatures of different regions. There is generally a high degree of agreement between the spectral characteristics of instrumental and climate model data. All but the equatorial spectra exhibit a powerlaw shape and are hence more consistent with the spectra expected from long-memory processes than from short-memory processes. The power-law exponent b of the spectra is a measure of memory, or persistence, of the temperatures and is observed to be about twice as large for global temperature than for local temperatures. However, there are large variations, in particular between land and sea surface temperatures. This is shown by estimates of the spectra for different regions and globalmaps of b. It is also demonstrated that global spectra are related to local spectra via teleconnections between local temperatures. © 2016 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/50218
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作者单位: Department of Mathematics and Statistics, University of Tromsø, Tromsø, Norway

Recommended Citation:
Fredriksen H.-B.,Rypdal K.. Spectral characteristics of instrumental and climate model surface temperatures[J]. Journal of Climate,2016-01-01,29(4)
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