DOI: 10.1007/s00382-013-1939-x
Scopus记录号: 2-s2.0-84906766860
论文题名: Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations
作者: Landerer F.W. ; Gleckler P.J. ; Lee T.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 43, 期: 2017-05-06 起始页码: 1271
结束页码: 1283
语种: 英语
英文关键词: AR5
; CMIP5
; GCM skill
; Model evaluation
; Sea surface height
英文摘要: We evaluate the representation of dynamic sea surface height (SSH) fields of 33 global coupled models (GCMs) contributed to the fifth phase of the Coupled Model Intercomparison Project (CMIP5). We use observations from satellite altimetry and basic performance metrics to quantify the ability of the GCMs to replicate observed SSH of the time-mean, seasonal cycle, and inter-annual variability patterns. The time-mean SSH representation has markedly improved from CMIP3 to CMIP5, both in terms of overall reduction in root-mean square differences, and in terms of reduced GCM ensemble spread. Biases of the time-mean SSH field in the Indian and Pacific Ocean equatorial regions are consistent with biases in the zonal surface wind stress fields identified with independent measurements. In the Southern Ocean, the latitude of the maximum meridional gradient of the zonal mean SSH CMIP5 models is shifted equatorward, consistent with the GCMs' spatial biases in the maximum of the zonal mean westerly surface wind stress fields. However, while the Southern Ocean SSH gradients correlate well with the maximum Antarctic circumpolar current transports, there is no significant correlation with the maximum zonal mean wind stress amplitudes, consistent with recent findings that the eddy parameterisations in GCMs dominate over wind stress amplitudes in this region. There is considerable spread across the CMIP5 ensemble for the seasonal and interannual SSH variability patterns. Because of the short observational period, the interannual variability patterns depend on the time-period over which they are derived, while no such dependency is found for the time-mean patterns. The model performance metrics for SSH presented here provide insight into GCM shortcoming due to inadequate model physics or processes. While the diagnostics of CMIP5 GCM performance relative to observations reveal that some models are clearly better than others, model performance is sensitive to the spatio-temporal scales chosen. © 2013 Springer. 资助项目: DOE, National Aeronautics and Space Administration
; JPL, National Aeronautics and Space Administration
; NASA, National Aeronautics and Space Administration
; SC, National Aeronautics and Space Administration
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54534
Appears in Collections: 过去全球变化的重建
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA, United States
Recommended Citation:
Landerer F.W.,Gleckler P.J.,Lee T.. Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations[J]. Climate Dynamics,2014-01-01,43(2017-05-06)