Author
Listed:
- Hans-Stefan Bauer
(University of Hohenheim, Institute of Physics and Meteorology)
- Oliver Branch
(University of Hohenheim, Institute of Physics and Meteorology)
- Benjamin Körner
(University of Hohenheim, Institute of Physics and Meteorology)
Abstract
Several scientific aspects ranging from boundary layer research and land modification experiments to turbulence research were addressed in this project with the Weather Research and Forecast (WRF) model and the Parallelized Large Eddy Simulation Model (PALM) applying resolutions from km-scale down to meter-scale. Case study simulations in as different regions as the central United States, The United Arab Emirates and southwestern Germany were performed to investigate the evolution of the convective boundary layer. The multi-nested WRF-setup driven by the operational analysis of the European Centre for Medium-range Weather Forecasts (ECMWF), high-resolution terrain, land cover and soil data sets simulated a realistic evolution of the turbulent internal structure of the boundary layer including realistic transitions between nighttime and daytime conditions and interactions between the surface and the overlying atmosphere. Land modification simulations in the United Arab Emirates showed that plantations of 10 $$\,\times \,$$ × 10 km $$^{2}$$ 2 have only a small influence, but larger plantations clearly modify the weather patterns in a way that more precipitation reaches the desert. Monin-Obukhov Similarity Theory (MOST), based on simplyfied assumptions is commonly used for parameterizing turbulent fluxes. However, several processes are ignored that are the more important the finer the resolution is. Therefore, the implementation of MOST in the models will be improved with very high-resolution idealized PALM simulations, providing training data for neural networks.
Suggested Citation
Hans-Stefan Bauer & Oliver Branch & Benjamin Körner, 2026.
"WRF Simulations to Investigate Processes Across Scales (WRFSCALE),"
Springer Books, in: Thomas Ludwig & Peter Bastian & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '23, pages 475-494,
Springer.
Handle:
RePEc:spr:sprchp:978-3-031-91312-9_32
DOI: 10.1007/978-3-031-91312-9_32
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