Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3185-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-3185-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A nested multi-scale system implemented in the large-eddy simulation model PALM model system 6.0
Antti Hellsten
CORRESPONDING AUTHOR
Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
Klaus Ketelsen
Software Consultant, Beethovenstr. 29A, 12247 Berlin, Germany
Matthias Sühring
Leibniz University Hannover, Institute of Meteorology and Climatology, Herrenhäuser Strasse 2, 30419 Hanover, Germany
Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
Björn Maronga
Leibniz University Hannover, Institute of Meteorology and Climatology, Herrenhäuser Strasse 2, 30419 Hanover, Germany
University of Bergen, Geophysical Institute, Postboks 7803, 5020 Bergen, Norway
Christoph Knigge
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Fotios Barmpas
Aristotle University Thessaloniki, P.O. Box 483, 54124, Thessaloniki, Greece
Georgios Tsegas
Aristotle University Thessaloniki, P.O. Box 483, 54124, Thessaloniki, Greece
Nicolas Moussiopoulos
Aristotle University Thessaloniki, P.O. Box 483, 54124, Thessaloniki, Greece
Siegfried Raasch
Leibniz University Hannover, Institute of Meteorology and Climatology, Herrenhäuser Strasse 2, 30419 Hanover, Germany
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- Dependency of Mesoscale Organization on Grid Anisotropy in Large‐Eddy Simulations of Convective Boundary Layers at Gray Zone Resolutions S. de Roode et al. 10.1029/2022MS003095
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- Assessing the Performance of Flux Imbalance Prediction Models Using Large Eddy Simulations Over Heterogeneous Land Surfaces L. Zhang et al. 10.1007/s10546-024-00880-y
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Latest update: 13 Dec 2024
Short summary
Large-eddy simulation (LES) of the urban atmospheric boundary layer involves a large separation of turbulent scales, leading to prohibitive computational costs. An online LES–LES nesting scheme is implemented into the PALM model system 6.0 to overcome this problem. Test results show that the accuracy within the high-resolution nest domains approach the non-nested high-resolution reference results. The nesting can reduce the CPU by time up to 80 % compared to the fine-resolution reference runs.
Large-eddy simulation (LES) of the urban atmospheric boundary layer involves a large separation...