Piecewise log-normal approximation of size distributions for aerosol modelling

An efficient and accurate method for the representation of particle size distributions in atmospheric models is proposed. The method can be applied, but is not necessarily restricted, to aerosol mass and number size distributions. A piecewise log-normal approximation of the number size distribution...

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Main Author: K. von Salzen
Format: Article
Language:English
Published: Copernicus Publications 2006-01-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/6/1351/2006/acp-6-1351-2006.pdf
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author K. von Salzen
author_facet K. von Salzen
author_sort K. von Salzen
collection DOAJ
description An efficient and accurate method for the representation of particle size distributions in atmospheric models is proposed. The method can be applied, but is not necessarily restricted, to aerosol mass and number size distributions. A piecewise log-normal approximation of the number size distribution within sections of the particle size spectrum is used. Two of the free parameters of the log-normal approximation are obtained from the integrated number and mass concentration in each section. The remaining free parameter is prescribed. The method is efficient in a sense that only relatively few calculations are required for applications of the method in atmospheric models. <P style='line-height: 20px;'> Applications of the method in simulations of particle growth by condensation and simulations with a single column model for nucleation, condensation, gravitational settling, wet deposition, and mixing are described. The results are compared to results from simulations employing single- and double-moment bin methods that are frequently used in aerosol modelling. According to these comparisons, the accuracy of the method is noticeably higher than the accuracy of the other methods.
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spelling doaj.art-b9256c19af7e45fcb1eb56cdd039a6052022-12-21T22:57:44ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242006-01-016513511372Piecewise log-normal approximation of size distributions for aerosol modellingK. von SalzenAn efficient and accurate method for the representation of particle size distributions in atmospheric models is proposed. The method can be applied, but is not necessarily restricted, to aerosol mass and number size distributions. A piecewise log-normal approximation of the number size distribution within sections of the particle size spectrum is used. Two of the free parameters of the log-normal approximation are obtained from the integrated number and mass concentration in each section. The remaining free parameter is prescribed. The method is efficient in a sense that only relatively few calculations are required for applications of the method in atmospheric models. <P style='line-height: 20px;'> Applications of the method in simulations of particle growth by condensation and simulations with a single column model for nucleation, condensation, gravitational settling, wet deposition, and mixing are described. The results are compared to results from simulations employing single- and double-moment bin methods that are frequently used in aerosol modelling. According to these comparisons, the accuracy of the method is noticeably higher than the accuracy of the other methods.http://www.atmos-chem-phys.net/6/1351/2006/acp-6-1351-2006.pdf
spellingShingle K. von Salzen
Piecewise log-normal approximation of size distributions for aerosol modelling
Atmospheric Chemistry and Physics
title Piecewise log-normal approximation of size distributions for aerosol modelling
title_full Piecewise log-normal approximation of size distributions for aerosol modelling
title_fullStr Piecewise log-normal approximation of size distributions for aerosol modelling
title_full_unstemmed Piecewise log-normal approximation of size distributions for aerosol modelling
title_short Piecewise log-normal approximation of size distributions for aerosol modelling
title_sort piecewise log normal approximation of size distributions for aerosol modelling
url http://www.atmos-chem-phys.net/6/1351/2006/acp-6-1351-2006.pdf
work_keys_str_mv AT kvonsalzen piecewiselognormalapproximationofsizedistributionsforaerosolmodelling