Details
| Original language | English |
|---|---|
| Pages (from-to) | 3317-3333 |
| Number of pages | 17 |
| Journal | Geoscientific Model Development |
| Volume | 14 |
| Issue number | 6 |
| Publication status | Published - 4 Jun 2021 |
Abstract
We demonstrate the capability of the PALM model system version 6.0 to simulate neutrally stratified urban boundary layers. Our simulation uses the real-world building configuration of the HafenCity area in Hamburg, Germany. Using PALM's virtual measurement module, we compare simulation results to wind-tunnel measurements of a downscaled replica of the study area. Wind-tunnel measurements of mean wind speed agree within 5% on average while the wind direction deviates by approximately 4 °. Turbulence statistics similarly agree. However, larger differences between measurements and simulation arise in the vicinity of surfaces where building geometry is insufficiently resolved. We discuss how to minimize these differences by improving the grid layout and give tips for setup preparation. Also, we discuss how existing and upcoming features of PALM like the grid nesting and immersed boundary condition help improve the simulation results.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Mathematics(all)
- Modelling and Simulation
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In: Geoscientific Model Development, Vol. 14, No. 6, 04.06.2021, p. 3317-3333.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Evaluation of the dynamic core of the PALM model system 6.0 in a neutrally stratified urban environment
T2 - comparison between LES and wind-tunnel experiments
AU - Gronemeier, Tobias
AU - Surm, Kerstin
AU - Harms, Frank
AU - Leitl, Bernd
AU - Maronga, Björn
AU - Raasch, Siegfried
N1 - Funding Information: the German Federal Ministry of Education and Research (BMBF) within the framework “Research for Sustainable Development” (FONA; https://www.fona.de/de/, last access: 2 June 2021; grant nos. 01LP1601 and 01LP1602). Funding Information: This study was part of the [UC]2 project that is funded by the German Federal Ministry of Education and Research (BMBF). The study was conducted in collaboration with the two sub-projects MOSAIK and 3DO. All simulations were carried out on the computer clusters of the North-German Supercomputing Alliance (HLRN; https://www.hlrn.de/, last access: 2 June 2021). Data analysis was done using Python.
PY - 2021/6/4
Y1 - 2021/6/4
N2 - We demonstrate the capability of the PALM model system version 6.0 to simulate neutrally stratified urban boundary layers. Our simulation uses the real-world building configuration of the HafenCity area in Hamburg, Germany. Using PALM's virtual measurement module, we compare simulation results to wind-tunnel measurements of a downscaled replica of the study area. Wind-tunnel measurements of mean wind speed agree within 5% on average while the wind direction deviates by approximately 4 °. Turbulence statistics similarly agree. However, larger differences between measurements and simulation arise in the vicinity of surfaces where building geometry is insufficiently resolved. We discuss how to minimize these differences by improving the grid layout and give tips for setup preparation. Also, we discuss how existing and upcoming features of PALM like the grid nesting and immersed boundary condition help improve the simulation results.
AB - We demonstrate the capability of the PALM model system version 6.0 to simulate neutrally stratified urban boundary layers. Our simulation uses the real-world building configuration of the HafenCity area in Hamburg, Germany. Using PALM's virtual measurement module, we compare simulation results to wind-tunnel measurements of a downscaled replica of the study area. Wind-tunnel measurements of mean wind speed agree within 5% on average while the wind direction deviates by approximately 4 °. Turbulence statistics similarly agree. However, larger differences between measurements and simulation arise in the vicinity of surfaces where building geometry is insufficiently resolved. We discuss how to minimize these differences by improving the grid layout and give tips for setup preparation. Also, we discuss how existing and upcoming features of PALM like the grid nesting and immersed boundary condition help improve the simulation results.
UR - http://www.scopus.com/inward/record.url?scp=85107884882&partnerID=8YFLogxK
U2 - 10.5194/gmd-2020-172
DO - 10.5194/gmd-2020-172
M3 - Article
VL - 14
SP - 3317
EP - 3333
JO - Geoscientific Model Development
JF - Geoscientific Model Development
SN - 1991-959X
IS - 6
ER -