Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)

被引：0
作者：
Curtis, Jeffrey H. [1 ,2 ]
Riemer, Nicole [1 ]
West, Matthew [2 ]
机构：
[1] Univ Illinois, Dept Climate Meteorol & Atmospher Sci, 1301 W Green St, Urbana, IL 61801 USA
[2] Univ Illinois, Dept Mech Sci & Engn, 1206 W Green St, Urbana, IL 61801 USA
来源：
GEOSCIENTIFIC MODEL DEVELOPMENT | 2024年 / 17卷 / 22期
关键词：
MIXING-STATE; WRF/CHEM MODEL; REPRESENTATION; MICROPHYSICS; SIMULATION; TRANSPORT; DYNAMICS; SCHEMES; VERSION; MODULE;
D O I：
10.5194/gmd-17-8399-2024
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This paper presents the development of a stochastic particle method to simulate advection in regional-scale models with a particle-resolving aerosol representation. The new method is based on finite-volume discretizations with the flux terms interpreted as probabilities of particle transport between grid cells. We analyze the method in 1D and show that the stochastic particle sampling during transport injects energy at high spatial frequencies, which can be partially compensated for with the choice of a dissipative odd-order finite-volume scheme. We then apply the stochastic third- and fifth-order advection algorithms with monotonic limiters in WRF-PartMC, using idealized and realistic wind fields in 2D and 3D. In all cases we observe the expected convergence rates of the stochastic particle method to the finite-volume solution as the number of computational particles is increased. This work enables the use of particle-based aerosol models on the regional scale.
引用
收藏
页码：8399 / 8420
页数：22
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