DOI: 10.1002/2016GL070515
论文题名: Characterizing and understanding systematic biases in the vertical structure of clouds in CMIP5/CFMIP2 models
作者: Cesana G. ; Waliser D.E.
刊名: Geophysical Research Letters
ISSN: 0094-8541
EISSN: 1944-8272
出版年: 2016
卷: 43, 期: 19 起始页码: 10538
结束页码: 10546
语种: 英语
英文关键词: CALIPSO-GOCCP
; cloud
; evaluation
; model
; simulator
; vertical structure
Scopus关键词: Boundary layers
; Clouds
; Models
; Satellite simulators
; Simulators
; Boundary layer clouds
; CALIPSO
; Evaluation
; General circulation model
; Moist environment
; Satellite observations
; Vertical distributions
; Vertical structures
; Climate models
英文摘要: From a traditional low-, middle-, and high-cloud “layered” perspective as well as a more detailed “level” perspective (40 levels), we compare the vertical distribution of clouds in 12 general circulation models (GCMs) against the GCM-Oriented Cloud-Aerosols Lidar and Infrared Pathfinder Satellite Observations Cloud Product (CALIPSO-GOCCP) using a satellite simulator approach. The layered perspective shows that models exhibit the similar regional biases: an overestimate (underestimate) of high clouds over oceans (continents) in the tropics and a strong underestimate of low clouds over stratocumulus regions. Although high clouds are too infrequent on average, the level perspective reveals that high-level clouds fill too many upper levels of the column when present (geometrically too thick), suggesting an overestimation of the cloud overlap. Compositing by dynamical regimes and large-scale relative humidity shows that the models tend to have too many high-level clouds in moist environments and too few boundary layer clouds in dry environments regardless of dynamical regimes. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991510851&doi=10.1002%2f2016GL070515&partnerID=40&md5=edc77ef71b0c16ad4d8ac42095a4783b
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9504
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Cesana G.,Waliser D.E.. Characterizing and understanding systematic biases in the vertical structure of clouds in CMIP5/CFMIP2 models[J]. Geophysical Research Letters,2016-01-01,43(19).