DOI: 10.1175/JCLI-D-11-00248.1
Scopus记录号: 2-s2.0-84862735793
论文题名: Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels
作者: Zelinka M.D. ; Klein S.A. ; Hartmann D.L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 11 起始页码: 3715
结束页码: 3735
语种: 英语
Scopus关键词: Annual mean
; Cloud forcing
; Cloud fraction
; Cloud properties
; Cloud radiative forcing
; Cloud top pressure
; Feedback model
; Global climate model
; Grid points
; Intercomparisons
; International satellite cloud climatology projects
; Long waves
; Midlatitudes
; Model comparison
; Novel techniques
; Optical depth
; Per unit
; Radiative transfer model
; Rapid transitions
; Short waves
; Spatial structure
; Top of atmospheres
; Atmospheric radiation
; Carbon dioxide
; Climate models
; Climatology
; Clouds
; Computer simulation
; Global warming
; Graphic methods
; Statistical methods
; Feedback
; carbon dioxide
; climate modeling
; climatology
; cloud radiative forcing
; computer simulation
; global warming
; histogram
; optical depth
; perturbation
; radiative transfer
英文摘要: This study proposes a novel technique for computing cloud feedbacks using histograms of cloud fraction as a joint function of cloud-top pressure (CTP) and optical depth (τ). These histograms were generated by the International Satellite Cloud Climatology Project (ISCCP) simulator that was incorporated into doubled-CO 2 simulations from 11 global climate models in the Cloud Feedback Model Intercomparison Project. The authors use a radiative transfer model to compute top of atmosphere flux sensitivities to cloud fraction perturbations in each bin of the histogram for each month and latitude. Multiplying these cloud radiative kernels with histograms of modeled cloud fraction changes at each grid point per unit of global warming produces an estimate of cloud feedback. Spatial structures and globally integrated cloud feedbacks computed in this manner agree remarkably well with the adjusted change in cloud radiative forcing. The global and annual mean model-simulated cloud feedback is dominated by contributions from medium thickness (3.6 < τ ≤ 23) cloud changes, but thick (τ > 23) cloud changes cause the rapid transition of cloud feedback values from positive in midlatitudes to negative poleward of 50°S and 70°N. High (CTP ≤ 440 hPa) cloud changes are the dominant contributor to longwave (LW) cloud feedback, but because their LW and shortwave (SW) impacts are in opposition, they contribute less to the net cloud feedback than do the positive contributions from low (CTP > 680 hPa) cloud changes. Midlevel (440 < CTP ≤ 680 hPa) cloud changes cause positive SW cloud feedbacks that are 80% as large as those due to low clouds. Finally, high cloud changes induce wider ranges of LW and SW cloud feedbacks across models than do low clouds. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52396
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA, United States
Recommended Citation:
Zelinka M.D.,Klein S.A.,Hartmann D.L.. Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels[J]. Journal of Climate,2012-01-01,25(11)