DOI: 10.1002/2014MS000392
Scopus记录号: 2-s2.0-84923147295
论文题名: Bulk or modal parameterizations for below-cloud scavenging of fine, coarse, and giant particles by both rain and snow
作者: Wang X ; , Zhang L ; , Moran M ; D
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2014
卷: 6, 期: 4 起始页码: 1301
结束页码: 1310
语种: 英语
英文关键词: Aerosols
; Atmospheric aerosols
; Atmospheric chemistry
; Atmospheric movements
; Law enforcement
; Precipitation (meteorology)
; Rain
; Size distribution
; Snow
; Uncertainty analysis
; Aerosol transport model
; Below-cloud scavenging
; Number size distribution
; Power law relationship
; Precipitation intensity
; Precipitation scavenging
; Scavenging coefficients
; Theoretical formulation
; Parameterization
; aerosol
; cloud cover
; estimation method
; parameterization
; particle size
; size distribution
; transport process
; uncertainty analysis
英文摘要: Bulk or modal parameterizations for below-cloud mass and number scavenging coefficients Îm (s-1) and În (s-1) of three aerosol modesâfine (PM2.5 ), coarse (PM2.5-10 ), and giant (PM10+ )âfor both rain and snow scavenging are developed for use in modal-approach aerosol transport models. The new bulk parameterizations are based on the size-resolved Î(d) parameterization of Wang et al. (2014), using assumed lognormal mass and number size distributions for PM2.5 , PM2.5-10 , and PM10+ . The resulting modal-mean formulas for Îm and În follow power law relationships with precipitation intensity R, consistent with most existing studies. The empirical parameters in the power law relationships obtained in this study are also within the range of parameter values obtained in previous field and theoretical studies. Uncertainties in Îm due to the size distribution or size range assumed for each aerosol mode are generally smaller than 30% for PM2.5-10 and PM10+ but could be on the order of factor of 2 for PM2.5 . These uncertainties, however, are much smaller than other known uncertainties in existing Î formulations, which are typically larger than 1 order of magnitude. Moreover, the new bulk parameterizations are believed to be more representative than most existing schemes because the size-resolved parameterization of Wang et al. (2014), which they are based on, was developed with consideration of all available theoretical formulations and field-derived estimates for size-resolved Î and their associated uncertainties. © 2014. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76078
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Kellys Environmental Services, Toronto, ON, Canada; Air Quality Research Division, Science and Technology Branch, Environment Canada, Toronto, ON, Canada
Recommended Citation:
Wang X,, Zhang L,, Moran M,et al. Bulk or modal parameterizations for below-cloud scavenging of fine, coarse, and giant particles by both rain and snow[J]. Journal of Advances in Modeling Earth Systems,2014-01-01,6(4)