
Bulk or modal parameterizations for below‐cloud scavenging of fine, coarse, and giant particles by both rain and snow
Author(s) -
Wang Xihong,
Zhang Leiming,
Moran Michael D.
Publication year - 2014
Publication title -
journal of advances in modeling earth systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.03
H-Index - 58
ISSN - 1942-2466
DOI - 10.1002/2014ms000392
Subject(s) - scavenging , aerosol , log normal distribution , range (aeronautics) , snow , precipitation , power law , environmental science , atmospheric sciences , meteorology , physics , mathematics , materials science , statistics , chemistry , biochemistry , composite material , antioxidant
Bulk or modal parameterizations for below‐cloud mass and number scavenging coefficients Λ m (s −1 ) and Λ n (s −1 ) of three aerosol modes—fine (PM 2.5 ), coarse (PM 2.5–10 ), and giant (PM 10+ )—for 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 Λ( d ) parameterization of Wang et al. (2014), using assumed lognormal mass and number size distributions for PM 2.5 , PM 2.5–10 , and PM 10+ . The resulting modal‐mean formulas for Λ m and Λ n 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 Λ m due to the size distribution or size range assumed for each aerosol mode are generally smaller than 30% for PM 2.5–10 and PM 10+ but could be on the order of factor of 2 for PM 2.5 . These uncertainties, however, are much smaller than other known uncertainties in existing Λ 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 Λ and their associated uncertainties.