globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-15-0183.1
Scopus记录号: 2-s2.0-84946219294
论文题名:
Spatiotemporal long-range persistence in earth's temperature field: Analysis of stochastic-diffusive energy balance models
作者: Rypdal K.; Rypdal M.; Fredriksen H.-B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期:21
起始页码: 8379
结束页码: 8395
语种: 英语
Scopus关键词: Atmospheric temperature ; Power spectral density ; Spectral density ; Stochastic systems ; Temperature ; Time measurement ; White noise ; Correlation characteristics ; Energy balance models ; Fractional generalization ; Frequency dependent ; Long-range persistence ; Relaxation time scale ; Spatial autocorrelations ; Surface temperatures ; Stochastic models ; climate modeling ; global climate ; land surface ; land-sea interaction ; long range forecast ; mixed layer ; spatiotemporal analysis ; surface temperature
英文摘要: Atwo-dimensional stochastic-diffusive energy balancemodel (EBM) formulated on a sphere byG. R. North et al. is explored and generalized. Instantaneous and frequency-dependent spatial autocorrelation functions and local temporal power spectral densities are computed for local sites and for spatially averaged surface temperature signals up to the global scale. On time scales up to the relaxation time scale given by the effective heat capacities of the ocean mixed layer and land surface, respectively, scaling features are obtained that are reminiscent of what can be derived from the observed temperature field. On longer time scales, however, the EBM predicts a transition to a white-noise scaling, which is not reflected in the observed records. A fractional generalization, which can be considered as a spatial generalization of the zero-dimensional, long-memory EBMof M. Rypdal and K. Rypdal, is proposed and explored. It is demonstrated that this generalized model describes qualitatively the main correlation characteristics of the temperature field reported in the literature and those derived herein from 500-yr-long control simulations of the NorESM Earth system model. A further generalization of the model, to include long-term persistence in the stochastic forcing, is also discussed. © 2015 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/50733
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作者单位: Department of Mathematics and Statistics, UiT The Arctic University of Norway, Tromsø, Norway

Recommended Citation:
Rypdal K.,Rypdal M.,Fredriksen H.-B.. Spatiotemporal long-range persistence in earth's temperature field: Analysis of stochastic-diffusive energy balance models[J]. Journal of Climate,2015-01-01,28(21)
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