DOI: 10.1029/2017JD027680
Scopus记录号: 2-s2.0-85050503300
论文题名: Sensitivities of Simulated Satellite Views of Clouds to Subgrid-Scale Overlap and Condensate Heterogeneity
作者: Hillman B.R. ; Marchand R.T. ; Ackerman T.P.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 14 起始页码: 7506
结束页码: 7529
语种: 英语
英文关键词: cloud condensate heterogeneity
; cloud overlap
; COSP
; global climate model
; multiscale modeling framework
; satellite simulator
英文摘要: Satellite simulators are often used to account for limitations in satellite retrievals of cloud properties in comparisons between models and satellite observations. The purpose of this framework is to enable more robust evaluation of model cloud properties, so that differences between models and observations can more confidently be attributed to model errors. A critical step in this process is accounting for the difference between the spatial scales at which cloud properties are retrieved with those at which clouds are simulated in global models. In this study, we create a series of sensitivity tests using 4-km global model output from the multiscale modeling framework to evaluate the sensitivity of simulated satellite retrievals to common assumptions about cloud and precipitation overlap and condensate variability used in climate models whose grid spacing is many tens to hundreds of kilometers. We find the simulated retrievals are sensitive to these assumptions. Using maximum-random overlap with homogeneous cloud and precipitation condensate leads to errors in Multiangle Imaging Spectroradiometer and International Satellite Cloud Climatology Project-simulated cloud cover and in CloudSat-simulated radar reflectivity that are significant compared to typical differences between the model simulations and observations. A more realistic treatment of unresolved clouds and precipitation is shown to substantially reduce these errors. The sensitivity to these assumptions underscores the need for the adoption of more realistic subcolumn treatments in models and the need for consistency among subcolumn assumptions between models and simulators to ensure that simulator-diagnosed errors are consistent with the model formulation. ©2018. 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/113485
Appears in Collections: 气候减缓与适应
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作者单位: Sandia National Laboratories, Albuquerque, NM, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Joint Institute for the Study of the Atmosphere and Ocean, Seattle, WA, United States
Recommended Citation:
Hillman B.R.,Marchand R.T.,Ackerman T.P.. Sensitivities of Simulated Satellite Views of Clouds to Subgrid-Scale Overlap and Condensate Heterogeneity[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(14)