DOI: 10.1002/2015GL063301
论文题名: Quantifying sources of inter-model diversity in the cloud albedo effect
作者: Wilcox L.J. ; Highwood E.J. ; Booth B.B.B. ; Carslaw K.S.
刊名: Geophysical Research Letters
ISSN: 0094-8922
EISSN: 1944-8653
出版年: 2015
卷: 42, 期: 5 起始页码: 1568
结束页码: 1575
语种: 英语
英文关键词: aerosol
; cloud albedo
; indirect effect
; uncertainty
Scopus关键词: Atmospheric radiation
; Solar radiation
; Sulfur compounds
; Uncertainty analysis
; Aerosol-cloud interaction
; Cloud albedo
; Coupled Model Intercomparison Project
; Historical changes
; Indirect effects
; Model Differences
; Radiative forcings
; uncertainty
; Aerosols
; aerosol composition
; albedo
; atmospheric forcing
; global change
; parameterization
; quantitative analysis
; radiative forcing
; spatial distribution
; uncertainty analysis
英文摘要: There is a large diversity in simulated aerosol forcing among models that participated in the fifth Coupled Model Intercomparison Project, particularly related to aerosol interactions with clouds. Here we use the reported model data and fitted aerosol-cloud relations to separate the main sources of inter-model diversity in the magnitude of the cloud albedo effect. There is a large diversity in the global load and spatial distribution of sulfate aerosol, as well as in global mean cloud top effective radius. The use of different parameterizations of aerosol-cloud interactions makes the largest contribution to diversity in modeled radiative forcing (-39%, +48% about the mean estimate). Uncertainty in preindustrial sulfate load also makes a substantial contribution (-15%, +61% about the mean estimate), with smaller contributions from inter-model differences in the historical change in sulfate load and in mean cloud fraction. © 2015. The Authors. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925835176&doi=10.1002%2f2015GL063301&partnerID=40&md5=f3ab9945e410318a3cb9f4bbd53f4eea
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8538
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: National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom
Recommended Citation:
Wilcox L.J.,Highwood E.J.,Booth B.B.B.,et al. Quantifying sources of inter-model diversity in the cloud albedo effect[J]. Geophysical Research Letters,2015-01-01,42(5).