DOI: 10.1002/2015GL064360
论文题名: Exploring the impact of CMIP5 model biases on the simulation of North Atlantic decadal variability
作者: Menary M.B. ; Hodson D.L.R. ; Robson J.I. ; Sutton R.T. ; Wood R.A. ; Hunt J.A.
刊名: Geophysical Research Letters
ISSN: 0094-9577
EISSN: 1944-9308
出版年: 2015
卷: 42, 期: 14 起始页码: 5926
结束页码: 5934
语种: 英语
英文关键词: cmip5
; decadal predictions
; decadal variability
; north atlantic
; resolution
; subpolar gyre
Scopus关键词: Forecasting
; Oceanography
; Optical resolving power
; Cmip5
; Decadal predictions
; Decadal variability
; North Atlantic
; Subpolar gyres
; Climate models
; climate modeling
; decadal variation
; ensemble forecasting
; gyre
; prediction
; salinity
; temperature
; Atlantic Ocean
; Atlantic Ocean (North)
; Labrador Sea
英文摘要: Instrumental observations, paleoproxies, and climate models suggest significant decadal variability within the North Atlantic subpolar gyre (NASPG). However, a poorly sampled observational record and a diversity of model behaviors mean that the precise nature and mechanisms of this variability are unclear. Here we analyze an exceptionally large multimodel ensemble of 42 present-generation climate models to test whether NASPG mean state biases systematically affect the representation of decadal variability. Temperature and salinity biases in the Labrador Sea covary and influence whether density variability is controlled by temperature or salinity variations. Ocean horizontal resolution is a good predictor of the biases and the location of the dominant dynamical feedbacks within the NASPG. However, we find no link to the spectral characteristics of the variability. Our results suggest that the mean state and mechanisms of variability within the NASPG are not independent. This represents an important caveat for decadal predictions using anomaly assimilation methods. © 2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938998596&doi=10.1002%2f2015GL064360&partnerID=40&md5=05b8fa848ea25c0994cd6559b6e04431
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9192
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: Met Office Hadley Centre, Met Office, Exeter, United Kingdom
Recommended Citation:
Menary M.B.,Hodson D.L.R.,Robson J.I.,et al. Exploring the impact of CMIP5 model biases on the simulation of North Atlantic decadal variability[J]. Geophysical Research Letters,2015-01-01,42(14).