Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer

Show full item record



Permalink

http://hdl.handle.net/10138/167764

Citation

Glazunov , A , Rannik , U , Stepanenko , V , Lykosov , V , Auvinen , M , Vesala , T & Mammarella , I 2016 , ' Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer ' , Geoscientific Model Development , vol. 9 , no. 9 , pp. 2925-2949 . https://doi.org/10.5194/gmd-9-2925-2016

Title: Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer
Author: Glazunov, Andrey; Rannik, Ullar; Stepanenko, Victor; Lykosov, Vasily; Auvinen, Mikko; Vesala, Timo; Mammarella, Ivan
Contributor: University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
Date: 2016-08-31
Language: eng
Number of pages: 25
Belongs to series: Geoscientific Model Development
ISSN: 1991-959X
URI: http://hdl.handle.net/10138/167764
Abstract: Large-eddy simulation (LES) and Lagrangian stochastic modeling of passive particle dispersion were applied to the scalar flux footprint determination in the stable atmospheric boundary layer. The sensitivity of the LES results to the spatial resolution and to the parameterizations of small-scale turbulence was investigated. It was shown that the resolved and partially resolved ("subfilter-scale") eddies are mainly responsible for particle dispersion in LES, implying that substantial improvement may be achieved by using recovering of small-scale velocity fluctuations. In LES with the explicit filtering, this recovering consists of the application of the known inverse filter operator. The footprint functions obtained in LES were compared with the functions calculated with the use of first-order single-particle Lagrangian stochastic models (LSMs) and zeroth-order Lagrangian stochastic models - the random displacement models (RDMs). According to the presented LES, the source area and footprints in the stable boundary layer can be substantially more extended than those predicted by the modern LSMs.
Subject: ATMOSPHERIC SURFACE-LAYER
STRATIFIED TURBULENT FLOWS
FLUX FOOTPRINT
NUMERICAL-SIMULATION
KOLMOGOROV CONSTANT
RICHARDSON-NUMBER
VELOCITY SPECTRUM
SIMILARITY THEORY
PRANDTL NUMBER
DISPERSION
114 Physical sciences
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
gmd_9_2925_2016.pdf 1.499Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record