Tomographic iterative reconstruction of a passive scalar in a 3D turbulent flow
- Author(s)
- Ignacio Pisso, Massimo Cassiani, Anna Solvejg Dinger, Hamidreza Ardeshiri, Soon Young Park, Kerstin Stebel, Arve Kylling, Norbert Schmidbauer, Cirillo Bernardo, Andreas Stohl
- Abstract
Turbulence in the planetary boundary layer controls the exchange fluxes of passive and active tracers between the Earth’s surface and the atmosphere. In climate and meteorological models, such effects of turbulence need to be parameterized, ultimately based on experimental data. A novel modeling/experimental approach is being developed within the COMTESSA project in order to study turbulence statistics at high resolution. Using controlled tracer releases, high-resolution camera images and estimates of the background radiation, different tomographic algorithms can be applied in order to obtain time series of 3D representations of the scalar dispersion. In a preliminary work we used using synthetic data to investigate different reconstruction algorithms with emphasis on algebraic iterative methods. We study the dependence of the reconstruction quality on the discretization resolution and the geometry of the experimental device in both 2 and 3-D cases. We assess the computational aspects of the iterative algorithms focusing of the phenomenon of semi-convergence applying a variety of stopping rules. In addition to the synthetic studies, we present tomographic reconstructions using the first results from the measurement campaigns. We discuss the applicability of the methodology to the data collected during subsequent campaigns and its associated numerical simulations.
- Organisation(s)
- Department of Meteorology and Geophysics
- External organisation(s)
- Norwegian Institute for Air Research, Gwangju Institute of Science and Technology (GIST), AIRES Pty Ltd.
- Publication date
- 2019
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 105206 Meteorology
- Keywords
- ASJC Scopus subject areas
- Atmospheric Science, Pollution, Modelling and Simulation
- Sustainable Development Goals
- SDG 13 - Climate Action
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/e02a8acc-b20a-4832-85a5-b35aacce6ded