DOI: 10.1007/s00382-014-2142-4
Scopus记录号: 2-s2.0-84905117045
论文题名: Cloud vertical distribution from radiosonde, remote sensing, and model simulations
作者: Zhang J. ; Li Z. ; Chen H. ; Yoo H. ; Cribb M.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 43, 期: 2017-03-04 起始页码: 1129
结束页码: 1140
语种: 英语
英文关键词: Cloud fraction
; Cloud vertical structure
; NCEP global forecast system
; Radiosonde
; Remote sensing
英文摘要: Knowledge of cloud vertical structure is important for meteorological and climate studies due to the impact of clouds on both the Earth's radiation budget and atmospheric adiabatic heating. Yet it is among the most difficult quantities to observe. In this study, we develop a long-term (10 years) radiosonde-based cloud profile product over the Southern Great Plains and along with ground-based and space-borne remote sensing products, use it to evaluate cloud layer distributions simulated by the National Centers for Environmental Prediction global forecast system (GFS) model. The primary objective of this study is to identify advantages and limitations associated with different cloud layer detection methods and model simulations. Cloud occurrence frequencies are evaluated on monthly, annual, and seasonal scales. Cloud vertical distributions from all datasets are bimodal with a lower peak located in the boundary layer and an upper peak located in the high troposphere. In general, radiosonde low-level cloud retrievals bear close resemblance to the ground-based remote sensing product in terms of their variability and gross spatial patterns. The ground-based remote sensing approach tends to underestimate high clouds relative to the radiosonde-based estimation and satellite products which tend to underestimate low clouds. As such, caution must be exercised to use any single product. Overall, the GFS model simulates less low-level and more high-level clouds than observations. In terms of total cloud cover, GFS model simulations agree fairly well with the ground-based remote sensing product. A large wet bias is revealed in GFS-simulated relative humidity fields at high levels in the atmosphere. © 2014 Springer-Verlag Berlin Heidelberg. 资助项目: NSFC, Office of Science
; DOE, Office of Science
; SC, Office of Science
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54320
Appears in Collections: 过去全球变化的重建
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作者单位: Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
Recommended Citation:
Zhang J.,Li Z.,Chen H.,et al. Cloud vertical distribution from radiosonde, remote sensing, and model simulations[J]. Climate Dynamics,2014-01-01,43(2017-03-04)