DOI: 10.1002/joc.5490
论文题名: Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations
作者: Fan T. ; Zhao C. ; Dong X. ; Liu X. ; Yang X. ; Zhang F. ; Shi C. ; Wang Y. ; Wu F.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 7 起始页码: 3140
结束页码: 3156
语种: 英语
英文关键词: aerosol simulation error
; AMIP project
; cloud fraction bias
; MODIS
; prognostic CF scheme
Scopus关键词: Atmospheric aerosols
; Errors
; Radiometers
; Satellite imagery
; Thermodynamics
; Aerosol simulation
; AMIP project
; Cloud fraction
; MODIS
; Prognostic CF scheme
; Climate models
; aerosol
; atmospheric modeling
; CMIP
; computer simulation
; error analysis
; MODIS
; optical depth
; Indian Ocean
; Indian Ocean (South)
英文摘要: Identifying the error sources in total cloud fraction (CF) simulated by global climate models is essential for improving climate prediction. This study investigates if and how significant the aerosol simulation errors contribute to the model CF biases in the Atmosphere Model Inter-comparison Project (AMIP) simulations of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) models. The aerosol optical depths (AODs) and CFs in 12 CMIP5/AMIP models have been examined and compared with 8-year moderate resolution imaging spectroradiometer (MODIS) satellite observations. The results show that the global-averaged multi-model ensemble mean AOD and CF, which are.14 and 56.2%, are 22.2 and 15.2% lower than those from MODIS, respectively. The simulated relationship between AOD and CF generally agrees with the observation on the global scale but differs on regional scale. Based on the “conditional sampling approach,” the AOD simulation errors that affect the CF biases of the models were separated from the model biases caused by the aerosol–CF errors that are related to dynamics, thermodynamics, and microphysics. It is found that the AOD errors barely contribute to the CF biases for most CMIP5/AMIP models on the global scale. Instead, simulated aerosol–CF errors are still the major contributors to the CF biases. However, we should note that AOD biases contribution in some regions, such as south Indian Ocean, Asia, Europe, and North Pacific Ocean, cannot be ignored. We also found that with increasing cloud liquid water path the CF does not increase with AOD as sensitively in the CMIP5/AMIP models as in the MODIS observations. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116877
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, United States; Department of Atmospheric Science, University of Wyoming, Laramie, WY, United States
Recommended Citation:
Fan T.,Zhao C.,Dong X.,et al. Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations[J]. International Journal of Climatology,2018-01-01,38(7)