DOI: 10.1175/JCLI-D-12-00556.1
Scopus记录号: 2-s2.0-84881263957
论文题名: Atlantic warm pool variability in the CMIP5 simulations
作者: Liu H. ; Wang C. ; Lee S.-K. ; Enfield D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 15 起始页码: 5315
结束页码: 5336
语种: 英语
Scopus关键词: Atlantic Ocean
; Atmosphere-ocean interactions
; Climate variability
; Community climate system model
; Coupled general circulation models
; Coupled Model Intercomparison Project
; Hybrid coordinate ocean models
; Warm pools
; Atmospheric pressure
; Atmospheric radiation
; Climatology
; Lakes
; Oceanography
; Spectrum analysis
; Climate models
; air-sea interaction
; annual variation
; climate modeling
; climate variation
; cloud radiative forcing
; computer simulation
; decadal variation
; El Nino-Southern Oscillation
; general circulation model
; global warming
; radiation balance
; sea surface temperature
; seasonal variation
; spectral analysis
; warm pool
; Atlantic Ocean
英文摘要: This study investigates Atlantic warm pool (AWP) variability in the historical run of 19 coupled general circulation models (CGCMs) submitted to phase 5 of the Coupled Model Intercomparison Project (CMIP5). As with the CGCMs in phase 3 (CMIP3), most models suffer from the cold SST bias in the AWP region and also show very weak AWP variability as represented by the AWP area index. However, for the seasonal cycle the AWP SST bias of model ensemble and model sensitivities are decreased compared with CMIP3, indicating that the CGCMs are improved. The origin of the cold SST bias in the AWP region remains unknown, but among the CGCMs in CMIP5 excess (insufficient) high-level cloud simulation decreases (enhances) the cold SST bias in the AWP region through the warming effect of the high-level cloud radiative forcing. Thus, the AWP SST bias in CMIP5 is more modulated by an erroneous radiation balance due to misrepresentation of high-level clouds rather than low-level clouds as in CMIP3. AWP variability is assessed as in the authors' previous study in the aspects of spectral analysis, interannual variability, multidecadal variability, and comparison of the remote connections with ENSO and the North Atlantic Oscillation (NAO) against observations. In observations the maximum influences of the NAO and ENSO on the AWP take place in boreal spring. For some CGCMs these influences erroneously last to late summer. The effect of this overestimated remote forcing can be seen in the variability statistics as shown in the rotated EOF patterns from the models. It is concluded that the NCAR Community Climate System Model, version 4 (CCSM4), the Goddard Institute for Space Studies (GISS) Model E, version 2, coupled with the Hybrid Coordinate Ocean Model (HYCOM) ocean model (GISS-E2H), and the GISS Model E, version 2, coupled with the Russell ocean model (GISS-E2R) are the best three models of CMIP5 in simulating AWP variability. © 2013 American Meteorological Society. 资助项目: NOAA, National Oceanic and Atmospheric Administration
; NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51760
Appears in Collections: 气候变化事实与影响
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作者单位: Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, United States; Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, FL, United States
Recommended Citation:
Liu H.,Wang C.,Lee S.-K.,et al. Atlantic warm pool variability in the CMIP5 simulations[J]. Journal of Climate,2013-01-01,26(15)