Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 9, 2925-2949, 2016
http://www.geosci-model-dev.net/9/2925/2016/
doi:10.5194/gmd-9-2925-2016
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model evaluation paper
31 Aug 2016
Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer
Andrey Glazunov1, Üllar Rannik2, Victor Stepanenko3, Vasily Lykosov1,3, Mikko Auvinen2, Timo Vesala2, and Ivan Mammarella2 1Institute of Numerical Mathematics RAS, GSP-1, 119991, Gubkina str., 8, Moscow, Russia
2Department of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
3Moscow State University, Research Computing Center, GSP-1, 119234, Leninskie Gory, 1, bld. 4, Moscow, Russia
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.

Citation: Glazunov, A., Rannik, Ü., Stepanenko, V., Lykosov, V., Auvinen, M., Vesala, T., and Mammarella, I.: Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer, Geosci. Model Dev., 9, 2925-2949, doi:10.5194/gmd-9-2925-2016, 2016.
Publications Copernicus
Download
Short summary
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 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).
Large-eddy simulation (LES) and Lagrangian stochastic modeling of passive particle dispersion...
Share