DOI: 10.1002/2015MS000483
Scopus记录号: 2-s2.0-84959546807
论文题名: Observed and modeled patterns of covariability between low-level cloudiness and the structure of the trade-wind layer
作者: Nuijens L ; , Medeiros B ; , Sandu I ; , Ahlgrimm M
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 4 起始页码: 1741
结束页码: 1764
语种: 英语
英文关键词: Boundary layers
; Climate models
; Commerce
; Feedback
; Cloudiness
; Controlling factors
; Layer structures
; Lifting condensation levels
; Long-term measurements
; Shallow convection
; Temperature stratification
; Trade winds
; Clouds
; boundary layer
; climate feedback
; climate modeling
; cloud cover
; condensation
; convection
; coupling
; cumulus
; mixed layer
; relative humidity
; surface wind
; timescale
; trade wind
英文摘要: We present patterns of covariability between low-level cloudiness and the trade-wind boundary layer structure using long-term measurements at a site representative of dynamical regimes with moderate subsidence or weak ascent. We compare these with ECMWF's Integrated Forecast System and 10 CMIP5 models. By using single-time step output at a single location, we find that models can produce a fairly realistic trade-wind layer structure in long-term means, but with unrealistic variability at shorter-time scales. The unrealistic variability in modeled cloudiness near the lifting condensation level (LCL) is due to stronger than observed relationships with mixed-layer relative humidity (RH) and temperature stratification at the mixed-layer top. Those relationships are weak in observations, or even of opposite sign, which can be explained by a negative feedback of convection on cloudiness. Cloudiness near cumulus tops at the trade-wind inversion instead varies more pronouncedly in observations on monthly time scales, whereby larger cloudiness relates to larger surface winds and stronger trade-wind inversions. However, these parameters appear to be a prerequisite, rather than strong controlling factors on cloudiness, because they do not explain submonthly variations in cloudiness. Models underestimate the strength of these relationships and diverge in particular in their responses to large-scale vertical motion. No model stands out by reproducing the observed behavior in all respects. These findings suggest that climate models do not realistically represent the physical processes that underlie the coupling between trade-wind clouds and their environments in present-day climate, which is relevant for how we interpret modeled cloud feedbacks. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75961
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Atmosphere in the Earth System Department, Max Planck Institute for Meteorology, Hamburg, Germany; Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States; Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, United States; Physical Aspects Section, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, United Kingdom
Recommended Citation:
Nuijens L,, Medeiros B,, Sandu I,et al. Observed and modeled patterns of covariability between low-level cloudiness and the structure of the trade-wind layer[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)