DOI: 10.1175/JCLI-D-17-0713.1
Scopus记录号: 2-s2.0-85052790137
论文题名: On the simulations of global oceanic latent heat flux in the CMIP5 multimodel ensemble
作者: Zhang R. ; Wang X.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 17 起始页码: 7111
结束页码: 7128
语种: 英语
英文关键词: Climatology
; Latent heating/cooling
; Seasonal cycle
; Surface fluxes
; Trends
Scopus关键词: Climate models
; Climatology
; Latent heat
; Wind
; Latent heating/cooling
; Multi-model ensemble
; Near-surface winds
; Rate of increase
; Seasonal cycle
; Specific humidity
; Surface flux
; Trends
; Heat flux
英文摘要: Simulations of the global oceanic latent heat flux (LHF) in the CMIP5 multimodel ensemble (MME) were evaluated in comparison with 11 LHF products. The results show that the mean state of LHF in the MME coincides well with that in the observations, except for a slight overestimation in the tropical regions. The reproduction of the seasonal cycle of LHF in the MME is in good agreement with that in the observations. However, biases are relatively obvious in the coastal regions.Aprominent upward trend in global-mean LHF is confirmed with all of the LHF products during the period of 1979-2005. Despite the consistent increase of LHF in CMIP5 models, the rates of increase are much weaker than those in the observations, with an average of approximately one-ninth that in the observations. The findings show that the rate of increase of nearsurface specific humidity qa inMMEis nearly 6 times that in the observations, while the rate of increase of the near-surface wind speed U is less than one-half that in the observations. The faster increase of qa and the slower increase of U could both suppress evaporation, and thus latent heat released by the ocean, which may be one of the reasons that the upward trend of LHF in the MME is nearly one order of magnitude lower than that in the observations. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111402
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China; Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
Recommended Citation:
Zhang R.,Wang X.. On the simulations of global oceanic latent heat flux in the CMIP5 multimodel ensemble[J]. Journal of Climate,2018-01-01,31(17)