DOI: 10.1002/2015JD024699
论文题名: Evaluating and improving cloud phase in the Community Atmosphere Model version 5 using spaceborne lidar observations
作者: Kay J.E. ; Bourdages L. ; Miller N.B. ; Morrison A. ; Yettella V. ; Chepfer H. ; Eaton B.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 8 起始页码: 4162
结束页码: 4176
语种: 英语
英文关键词: climate model
; cloud phase
; Greenland
; Southern Ocean
; supercooled liquid clouds
Scopus关键词: atmospheric modeling
; CALIPSO
; climate modeling
; climate prediction
; cloud cover
; ice cover
; lidar
; liquid
; observational method
; sea level change
; seasonal variation
; shortwave radiation
; storm track
; supercooling
; Arctic
; Arctic Ocean
; Greenland
; Southern Ocean
; Summit
英文摘要: Spaceborne lidar observations from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite are used to evaluate cloud amount and cloud phase in the Community Atmosphere Model version 5 (CAM5), the atmospheric component of a widely used state-of-the-art global coupled climate model (Community Earth System Model). By embedding a lidar simulator within CAM5, the idiosyncrasies of spaceborne lidar cloud detection and phase assignment are replicated. As a result, this study makes scale-aware and definition-aware comparisons between model-simulated and observed cloud amount and cloud phase. In the global mean, CAM5 has insufficient liquid cloud and excessive ice cloud when compared to CALIPSO observations. Over the ice-covered Arctic Ocean, CAM5 has insufficient liquid cloud in all seasons. Having important implications for projections of future sea level rise, a liquid cloud deficit contributes to a cold bias of 2-3°C for summer daily maximum near-surface air temperatures at Summit, Greenland. Over the midlatitude storm tracks, CAM5 has excessive ice cloud and insufficient liquid cloud. Storm track cloud phase biases in CAM5 maximize over the Southern Ocean, which also has larger-than-observed seasonal variations in cloud phase. Physical parameter modifications reduce the Southern Ocean cloud phase and shortwave radiation biases in CAM5 and illustrate the power of the CALIPSO observations as an observational constraint. The results also highlight the importance of using a regime-based, as opposed to a geographic-based, model evaluation approach. More generally, the results demonstrate the importance and value of simulator-enabled comparisons of cloud phase in models used for future climate projection. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62909
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Cooperative Institute for Research in Environmental Sciences, Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada; LMD/IPSL, Université Pierre et Marie Curie, Paris, France; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Kay J.E.,Bourdages L.,Miller N.B.,et al. Evaluating and improving cloud phase in the Community Atmosphere Model version 5 using spaceborne lidar observations[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(8)