DOI: 10.1007/s00382-013-1712-1
Scopus记录号: 2-s2.0-84884701235
论文题名: AMO's structure and climate footprint in observations and IPCC AR5 climate simulations
作者: Kavvada A. ; Ruiz-Barradas A. ; Nigam S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2013
卷: 41, 期: 2017-05-06 起始页码: 1345
结束页码: 1364
语种: 英语
英文关键词: AMO
; Climate models
; CMIP5
; Historical simulations
; Hydroclimate impact
; Ocean heat content
; Salinity
; Timescale of variability
英文摘要: This study aims to characterize the spatiotemporal features of the low frequency Atlantic Multidecadal Oscillation (AMO), its oceanic and atmospheric footprint and its associated hydroclimate impact. To accomplish this, we compare and evaluate the representation of AMO-related features both in observations and in historical simulations of the twentieth century climate from models participating in the IPCC's CMIP5 project. Climate models from international leading research institutions are chosen: CCSM4, GFDL-CM3, UKMO-HadCM3 and ECHAM6/MPI-ESM-LR. Each model employed includes at least three and as many as nine ensemble members. Our analysis suggests that the four models underestimate the characteristic period of the AMO, as well as its temporal variability; this is associated with an underestimation/overestimation of spectral peaks in the 70-80 year/10-20 year range. The four models manifest the mid-latitude focus of the AMO-related SST anomalies, as well as certain features of its subsurface heat content signal. However, they are limited when it comes to simulating some of the key oceanic and atmospheric footprints of the phenomenon, such as its signature on subsurface salinity, oceanic heat content and geopotential height anomalies. Thus, it is not surprising that the models are unable to capture the majority of the associated hydroclimate impact on the neighboring continents, including underestimation of the surface warming that is linked to the positive phase of the AMO and is critical for the models to be trusted on projections of future climate and decadal predictions. © 2013 Springer-Verlag Berlin Heidelberg. 资助项目: NOAA, National Oceanic and Atmospheric Administration
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54797
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Department of Atmospheric and Oceanic Science, University of Maryland, 3435 Computer and Space Sciences Bldg., College Park, MD, 20742-2425, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20742-2425, United States
Recommended Citation:
Kavvada A.,Ruiz-Barradas A.,Nigam S.. AMO's structure and climate footprint in observations and IPCC AR5 climate simulations[J]. Climate Dynamics,2013-01-01,41(2017-05-06)