Below-cloud scavenging by rain of atmospheric gases and particulates

Duhanyan, Nora; Roustan, Yelva

doi:10.1016/j.atmosenv.2011.09.002

Cited by 49 publications

(36 citation statements)

References 61 publications

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“…3 and was used in the development of the new parameterization. The finding of such a power-law relationship is not surprising since many earlier theoretical and experimental studies also suggested the existence of such a relationship, although most of the earlier studies focused on bulk instead of size-resolved (Mircea and Stefan, 1998;Andronache, 2003;Duhanyan and Roustan, 2011). A brief comparison of the results from the present study with earlier studies in terms of the power-law parameters is provided in Table 9 and presented below.…”

Section: Power-law Relationship Between and Rmentioning

confidence: 45%

“…Early investigations reviewed by McMahon and Denison (1979) and more recent theoretical considerations (e.g., Scott, 1982;Mircea and Stefan, 1998;Andronache, 2003) as well as field and experimental studies (Jylhä, 1991;Okita et al, 1996;Sparmacher et al, 1993) have suggested that the exponent B had values in the range of 0.59-0.94 for rain and 0.3-1.14 for snow (see Table 9 and the reviews of Sportisse, 2007, andDuhanyan andRoustan, 2011). The field measurements by Jylhä (1991) and Okita et al (1996) reported B values of 0.64-0.76.…”

Section: Power-law Relationship Between and Rmentioning

confidence: 99%

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Development of a new semi-empirical parameterization for below-cloud scavenging of size-resolved aerosol particles by both rain and snow

Wang¹,

Zhang

Moran

2014

Geosci. Model Dev.

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Abstract.A parameter called the scavenging coefficient is widely used in aerosol chemical transport models (CTMs) to describe below-cloud scavenging of aerosol particles by rain and snow. However, uncertainties associated with available size-resolved theoretical formulations for span one to two orders of magnitude for rain scavenging and nearly three orders of magnitude for snow scavenging. Two recent reviews of below-cloud scavenging of size-resolved particles recommended that the upper range of the available theoretical formulations for should be used in CTMs based on uncertainty analyses and comparison with limited field experiments. Following this recommended approach, a new semiempirical parameterization for size-resolved has been developed for below-cloud scavenging of atmospheric aerosol particles by both rain ( rain ) and snow ( snow ). The new parameterization is based on the 90th percentile of values from an ensemble data set calculated using all possible "realizations" of available theoretical formulas and covering a large range of aerosol particle sizes and precipitation intensities (R). For any aerosol particle size of diameter d, a strong linear relationship between the 90th-percentile log 10 ( ) and log 10 (R), which is equivalent to a power-law relationship between and R, is identified. The log-linear relationship, which is characterized by two parameters (slope and y intercept), is then further parameterized by fitting these two parameters as polynomial functions of aerosol size d. A comparison of the new parameterization with limited measurements in the literature in terms of the magnitude of and the relative magnitudes of rain and snow suggests that it is a reasonable approximation. Advantages of this new semiempirical parameterization compared to traditional theoretical formulations for include its applicability to belowcloud scavenging by both rain and snow over a wide range of particle sizes and precipitation intensities, ease of implementation in any CTM with a representation of size-distributed particulate matter, and a known representativeness, based on the consideration in its development, of all available theoretical formulations and field-derived estimates for (d) and their associated uncertainties.

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Section: Power-law Relationship Between and Rmentioning

confidence: 45%

Section: Power-law Relationship Between and Rmentioning

confidence: 99%

Development of a new semi-empirical parameterization for below-cloud scavenging of size-resolved aerosol particles by both rain and snow

Wang¹,

Zhang

Moran

2014

Geosci. Model Dev.

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“…The basin of Shihwa Lake has an area of about 475 km 2 and a population of more than 0.8 million people. The Shihwa and Banwol industrial complexes are located in Shihwa Basin.…”

Section: Sampling Sitesmentioning

confidence: 99%

“…Rain is the most effective process transporting soluble gases and particles from the atmosphere to the ground [1,2]. Precipitation chemistry plays an important role in understanding the air quality in a study area, because the concentrations and distribution of chemical components in rain depend on a variety of emission sources including sea spray, soil particles, and industrial pollutants [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Chemical Composition of Water Soluble Inorganic Species in Precipitation at Shihwa Basin, Korea

et al. 2015

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“…Ammonia absorption behavior of raindrops is strongly dependent on rain drop size, cloud base height, atmospheric initial gaseous ammonia concentrations, and the chemical and physical properties of the constituents of the mixture (Adewuyi and Carmichael, 1982). In the present study, significant correlations were observed between rainfall intensity and concentrations of NH 4 + (y = 5.1 − 12.1 × ln(x), R = 0.48, p b 0.0001), indicating rainfall intensity (relative to rain drop size) is important in controlling absorption of ammonia by rain water (Dijk, 2002;Duhanyan and Roustan, 2011). Rain drops absorb atmospheric gaseous ammonia by three processes (Fig.…”

Section: Discussionmentioning

confidence: 81%