A model for particle formation and growth in the atmosphere with molecular resolution in size
By K. Lehtinen, Markku Kulmala. 2002
205 citations recorded by the source corpus.
Abstract. The formation and growth of atmospheric aerosol particles is considered using an exact discrete method with molecular resolution in size space. The method is immune to numerical diffusion problems that are a nuisance for typical simulation methods using a sectional representation for the particle size distribution. For condensational growth, a slight modification is proposed for the Fuchs-Sutugin expression, which improves the prediction of the growth rate of nano-sized particles by as much as a factor of two. The presented method is applied to particle formation in a Finnish Boreal forest and is shown to capture the essential features of the dynamics quite nicely. Furthermore, it is shown that the growth of the particles is roughly linear, which means that the amount of condensable vapour is constant (of the order 1013 1/m3).
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3467cba407cda20b570e217d22663729d6c266c5
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In Atmospheric Science
- Tuomo Nieminen
- K. Lehtinen
- Markku Kulmala
- V. Kerminen
- P. Mcmurry
- C. Kuang
- Tuukka Petäjä
- A. Mccormick
In Global and Planetary Change
Citations in the corpus
- Annual and size dependent variation of growth rates and ion concentrations in boreal forest (2005, unknown): “The growth rate (GR) of particles and air ions can be estimated from size distribution measurements (Lehtinen and Kulmala 2003, Kulmala et al. 2004c).”
- Initial steps of aerosol growth (2004, unknown): “An example of growth rates calculated using nucleation mode peak evolution analysis (Lehtinen and Kulmala, 2003) on 25 March 2003.”
- Sub-10 nm particle growth by vapor condensation – effects of vapor molecule size and particle thermal speed (2010, methodology): “To take these important effects into account, a modification to the widely used growth expressions was derived by Lehtinen and Kulmala (2003), based on analogy to coagulation theory.”