期刊
JOURNAL OF COMPUTATIONAL PHYSICS
卷 230, 期 23, 页码 8427-8451出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2011.07.027
关键词
Aerosol modeling; Stochastic simulations; Particle methods; Smoluchowski equations; Multiscale numerics
资金
- National Science Foundation (NSF) [CMG-0934491]
- Directorate For Geosciences
- Div Atmospheric & Geospace Sciences [0934491] Funding Source: National Science Foundation
Stochastic particle-resolved methods are a useful way to compute the time evolution of the multi-dimensional size distribution of atmospheric aerosol particles. An effective approach to improve the efficiency of such models is the use of weighted computational particles. Here we introduce particle weighting functions that are power laws in particle size to the recently-developed particle-resolved model PartMC-MOSAIC and present the mathematical formalism of these Weighted Flow Algorithms (WFA) for particle coagulation and growth. We apply this to an urban plume scenario that simulates a particle population undergoing emission of different particle types, dilution, coagulation and aerosol chemistry along a Lagrangian trajectory. We quantify the performance of the Weighted Flow Algorithm for number and mass-based quantities of relevance for atmospheric sciences applications. (C) 2011 Elsevier Inc. All rights reserved.
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