Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.jcp.2011.07.027 | J. Comput. Physics |
Keywords | Field | DocType |
particle size,weighted flow algorithm,atmospheric aerosol particle,weighted computational particle,weighted flow algorithms,particle coagulation,stochastic particle coagulation,particle population,different particle type,aerosol chemistry,particle weighting function,weight function,smoluchowski equation,atmospheric science,power law,stochastic simulation | Statistical physics,Population,Mathematical optimization,Weighting,Aerosol,Algorithm,Smoluchowski coagulation equation,Particle size,Power law,Particle,Trajectory,Mathematics | Journal |
Volume | Issue | ISSN |
230 | 23 | 0021-9991 |
Citations | PageRank | References |
4 | 0.53 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. E. L. DeVille | 1 | 4 | 0.53 |
| N. Riemer | 2 | 4 | 0.87 |
| Matthew West | 3 | 64 | 6.81 |