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Review and Uncertainty Assessment of Size-resolved Scavenging Coefficient Formulations for Snow Scavenging of Atmospheric Aerosols : Volume 13, Issue 6 (05/06/2013)

By Zhang, L.

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Book Id: WPLBN0003989238
Format Type: PDF Article :
File Size: Pages 47
Reproduction Date: 2015

Title: Review and Uncertainty Assessment of Size-resolved Scavenging Coefficient Formulations for Snow Scavenging of Atmospheric Aerosols : Volume 13, Issue 6 (05/06/2013)  
Author: Zhang, L.
Volume: Vol. 13, Issue 6
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Wang, X., Feng, J., Moran, M. D., & Zhang, L. (2013). Review and Uncertainty Assessment of Size-resolved Scavenging Coefficient Formulations for Snow Scavenging of Atmospheric Aerosols : Volume 13, Issue 6 (05/06/2013). Retrieved from http://community.ebooklibrary.org/


Description
Description: Air Quality Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin St, Toronto, Ontario, M3H 5T4, Canada. Theoretical parameterizations for the size-resolved scavenging coefficient for atmospheric aerosol particles scavenged by snow (Λsnow) need assumptions regarding (i) snow particle–aerosol particle collection efficiency E, (ii) snow particle size distribution N(Dp), (iii) snow particle terminal velocity VD, and (iv) snow particle cross-sectional area A. Existing formulas for these parameters are reviewed in the present study and uncertainties in Λsnow caused by various combinations of these parameters are assessed. Different formulations of E can cause uncertainties in Λsnow of more than one order of magnitude for all aerosol sizes for typical snowfall intensities. E is the largest source of uncertainty among all the input parameters, similar to rain scavenging of atmospheric aerosols (Λrain) as was found in a previous study by Wang et al. (2010). However, other parameters can also cause significant uncertainties in Λsnow, and the uncertainties from these parameters are much larger than for Λrain. Specifically, different N(Dp) formulations can cause one-order-of-magnitude uncertainties in Λsnow for all aerosol sizes, as is also the case for a combination of uncertainties from both VD and A. In comparison, uncertainties in Λrain from N(Dp) are smaller than a factor of 5 and those from VD are smaller than a factor of 2. Λsnow estimated from one empirical formula generated from field measurements falls in the upper range of, or is slightly higher than, theoretically estimated values. The predicted aerosol concentrations obtained using different Λsnow formulas can differ by a factor of two for just a one-centimeter snowfall (liquid water equivalent of approximately 1 mm). It is likely that, for typical rain and snow event the removal of atmospheric aerosol particles by snow is more effective than removal by rain for equivalent precipitation amounts, although a firm conclusion requires much more evidence.

Summary
Review and uncertainty assessment of size-resolved scavenging coefficient formulations for snow scavenging of atmospheric aerosols

Excerpt
Andronache, C., Grönholm, T., Laakso, L., Phillips, V., and Venäläinen, A.: Scavenging of ultrafine particles by rainfall at a boreal site: observations and model estimations, Atmos. Chem. Phys., 6, 4739–4754, doi:10.5194/acp-6-4739-2006, 2006.; Baklanov, A.: Parameterisation of the deposition processes and radioactive decay: a review and some preliminary results by the DERMA model, DMI Scientific Report 99-4, Danish Meteorological Institute, Copenhagen, Denmark, 1999.; Bell, D. A. and Saunders, C. P. R.: An experimental study of aerosol scavenging by hexagonal plate ice crystals, Atmos. Res., 38, 9–19, 1995.; Bohm, H. P.: A general equation for the terminal fall speed of solid hydrometeors, J. Atmos. Sci., 46, 2419–2427, 1989.; Bohm, H. P.: A general hydrodynamic theory for mixed-phase microphysics, Part 1: Drag and fall speed of hydrometeors, Atmos. Res., 27, 253–274, 1992.; Chate, D. M.: Study of scavenging of submicron-sized aerosol particles by thunderstorm rain events, Atmos. Environ., 39, 6608–6619, 2005.; Gunn, K. L. S. and Marshall, J. S.: The distribution with size of aggregate snowflakes, J. Meteorol., 15, 452–461, 1958.; Cotton, W. R., Stephens, M. A., Nehrkorn, T., and Tripoli, G. J.: The Colorado State University three-dimensional cloud/mesoscale model, Part 2: An ice phase parameterization, J. Rech. Atmos., 16, 295–319, 1982.; Croft, B., Lohmann, U., Martin, R. V., Stier, P., Wurzler, S., Feichter, J., Posselt, R., and Ferrachat, S.: Aerosol size-dependent below-cloud scavenging by rain and snow in the ECHAM5-HAM, Atmos. Chem. Phys., 9, 4653–4675, doi:10.5194/acp-9-4653-2009, 2009. % ### SELF-REFERENCE ###; Dick, A. L.: A simple model for air/snow fractionation of aerosol components over the Antarctic Peninsula, J. Atmos. Chem., 11, 179–196, 1990.; Feng, J.: A 3-mode parameterization of below-cloud scavenging of aerosols for use in atmospheric dispersion models, Atmos. Environ., 41, 6808–6822, 2007.; Feng, J.: A size-resolved model for below-cloud scavenging of aerosols by snowfalls, J. Geophys. Res., 114, D08203, doi:10.1029/2008JD011012, 2009.; Field, P. R. and Heymsfield, A. J.: Aggregation and scaling of ice crystal size distributions, J. Atmos. Sci., 60, 544–560, 2003.; Field, P. R., Hogan, R. J., Brown, P. R. A., Illingworth, A. J., Choularton, T. W., and Cotton, R. J.: Parameterization of ice-particle size distributions for mid-latitude stratiform cloud, Q. J. Roy. Meteorol. Soc., 131, 1997–2017, 2005.; Gong, W., Dastoor, A. P., Bouchet, V. S., Gong, S. L., Makar, P. A., Moran, M. D., Pabla, B., Ménard, S., Crevier, L.-P., Cousineau, S., and Venkatesh, S.: Cloud processing of gases and aerosols in a regional air quality model (AURAMS), Atmos. Res., 82, 248–275, 2006.; Graedel, T. E. and Franey, J. P.: Field measurements of submicron aerosol washout by snow, Geophys. Res. Lett., 2, 325–328, 1975.; Gong, W., Stroud, C., and Zhang, L.: Cloud processing of gase

 

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