DOI: 10.1002/grl.50409
论文题名: Toward resolution-independent dust emissions in global models: Impacts on the seasonal and spatial distribution of dust
作者: Ridley D.A. ; Heald C.L. ; Pierce J.R. ; Evans M.J.
刊名: Geophysical Research Letters
ISSN: 0094-8952
EISSN: 1944-8683
出版年: 2013
卷: 40, 期: 11 起始页码: 2873
结束页码: 2877
语种: 英语
英文关键词: aerosol modelling
; African dust
; mineral dust
; sub-grid parameterization
Scopus关键词: African dust
; Mineral dust
; Sea salt aerosol
; Sea-salt emissions
; Seasonal and spatial distributions
; Seasonal distributions
; Sub-grids
; Weibull probability distribution
; Aerosols
; Computer simulation
; Probability distributions
; Dust
; atmospheric pollution
; dust
; EOS
; global change
; parameterization
; sea salt
; seasonal variation
; spatial distribution
; surface wind
; Weibull theory
英文摘要: Simulating the emission of mineral dust and sea-salt aerosol is nonlinear with surface winds and therefore requires accurate representation of surface winds. Consequently, the resolution of a simulation affects emission and is often corrected with nonphysical scaling in coarse resolution global models. We examine the resolution dependence of emissions in the GEOS-Chem model and find that globally, annual emissions at 4° × 5° resolution are 59% of those simulated at 2° × 2.5° and only 33% of emissions at 0.25° × 0.3125°. The spatial and seasonal distribution of dust emissions vary substantially, indicating that applying a uniform scaling is inappropriate. We demonstrate the benefit of characterizing the subgrid surface wind as a Weibull probability distribution, reconciling much of the difference in emissions between resolutions for dust. Such a representation is shown to have little impact on sea-salt emissions. © 2013 American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879931928&doi=10.1002%2fgrl.50409&partnerID=40&md5=18535deaec2a10406865876aa812bf52
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6216
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
Recommended Citation:
Ridley D.A.,Heald C.L.,Pierce J.R.,et al. Toward resolution-independent dust emissions in global models: Impacts on the seasonal and spatial distribution of dust[J]. Geophysical Research Letters,2013-01-01,40(11).