DOI: | 10.1002/2014GL062765
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论文题名: | Internal climate memory in observations and models |
作者: | Monselesan D.P.; O'Kane T.J.; Risbey J.S.; Church J.
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刊名: | Geophysical Research Letters
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ISSN: | 0094-8944
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EISSN: | 1944-8675
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出版年: | 2015
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卷: | 42, 期:4 | 起始页码: | 1232
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结束页码: | 1242
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语种: | 英语
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英文关键词: | CMIP5
; intrinsic climate variability
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Scopus关键词: | Atmospheric pressure
; Atmospheric temperature
; Climate change
; Oceanography
; Sea level
; Surface waters
; Climate variability
; CMIP5
; Coupled Model Intercomparison Project
; Internal variability
; Low frequency variability
; Sea surface temperature (SST)
; Southern oscillation
; Spatiotemporal characteristics
; Climate models
; climate modeling
; climate variation
; El Nino-Southern Oscillation
; sea level change
; sea surface temperature
; spatiotemporal analysis
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英文摘要: | Attribution of cause of climate change is hindered by our ability to separate internal low-frequency variability from the forced response in the climate system. We characterize the spatiotemporal characteristics of internal variability by comparing ensemble averages of in-band fractional variances in Coupled Model Intercomparison Project Phase 5 (CMIP5) preindustrial control simulations to estimates from observations and reanalyses. For sea surface temperature and sea level height anomalies both models and observations show that variability on time scales less than 5 years is predominantly in the tropics and has the spatial signature of El Niño-Southern Oscillation. On progressively longer time scales the variance moves to the extratropics and from middle to higher latitudes while displaying spatially coherent features. The CMIP5 models show good agreement in the spatial and temporal apportioning of in-band variance when the variances are normalized. ©2015. American Geophysical Union. All Rights Reserved. |
URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924901998&doi=10.1002%2f2014GL062765&partnerID=40&md5=98e4cec2343b89615a890edba83d354d
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Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/8560
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Appears in Collections: | 科学计划与规划 气候变化与战略
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作者单位: | CSIRO Oceans and Atmosphere, Hobart, TAS, Australia
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Recommended Citation: |
Monselesan D.P.,O'Kane T.J.,Risbey J.S.,et al. Internal climate memory in observations and models[J]. Geophysical Research Letters,2015-01-01,42(4).
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