DOI: 10.1175/JCLI-D-11-00376.1
Scopus记录号: 2-s2.0-84865731532
论文题名: Atlantic warm-pool variability in the IPCC AR4 CGCM simulations
作者: Liu H. ; Wang C. ; Lee S.-K. ; Enfield D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 16 起始页码: 5612
结束页码: 5628
语种: 英语
Scopus关键词: Area index
; Climate variability
; Coupled models
; Decadal variability
; Difference patterns
; Geographic pattern
; Interannual
; Intergovernmental panel on climate changes
; Local heating
; Low-level clouds
; Model comparison
; Multi-decadal time scale
; Natural variability
; Observational analysis
; Pre-industrial
; Sea surfaces
; Short-wave radiation
; Trade winds
; Tropical variabilty
; Twentieth century
; Warm pools
; Climate change
; Lakes
; Spectrum analysis
; Computer simulation
; atmosphere-ocean coupling
; climate variation
; El Nino-Southern Oscillation
; general circulation model
; North Atlantic Oscillation
; sea surface temperature
; shortwave radiation
; trade wind
; westerly
; Atlantic Ocean
英文摘要: This study investigates Atlantic warm pool (AWP) variability in the twentieth century and preindustrial simulations of coupled GCMs submitted to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). In the twentieth-century simulations, most coupled models show very weak AWP variability, represented by an AWP area index, because of the cold SST bias in the AWP. Among the IPCC models, a higher AWP SST index corresponds to increased net downward short wave radiation and decreased low-level cloud fraction during the AWP peak season. This suggests that the cold SST bias in the AWP region is at least partly caused by an excessive amount of simulated low-level cloud, which blocks short wave radiation from reaching the sea surface. AWP natural variability is examined in pre industrial simulations. Spectral analysis reveals that only multi decadal band variability of the AWP is significant in observations. All models successfully capture the multi decadal band, but they show that interannual and/or decadal variability is also significant. On the multi decadal time scale, the global SST difference pattern between large AW Pyears and small AWP years resembles the geographic pattern of the AM Ofor most coupled models. Observational analysis indicates that both positive ENSO phase and negative NAO phase in winter correspond to reduced trade winds in theAW Pregion. The westerly anomalies induced by positive ENSO and negative NAOlead to local heating and warm SST from March to May and February to April, respectively. This behavior as a known feature of anomalous AWP growth is well captured by only five models. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52302
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; NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States
Recommended Citation:
Liu H.,Wang C.,Lee S.-K.,et al. Atlantic warm-pool variability in the IPCC AR4 CGCM simulations[J]. Journal of Climate,2012-01-01,25(16)