The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22014659

Dries Allaerts; Eliot Quon; Matt Churchfield (2023): LES dataset of the 8-9 November 2013 diurnal cycle at the SWiFT site – internal.ipa.wrf. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22014659.v1

Dataset

• Environmental Engineering
• Atmospheric Sciences
• Atmosphere and Weather

Atmospheric Boundary Layer, Diurnal cycle, Large-eddy simulation (LES), Low-Level Jet, Mesoscale-to-microscale coupling

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2013-11-08 12:00:00/2013-11-09 12:00:00

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Dries Allaerts , Eliot Quon , Matt Churchfield

Large-eddy simulation (LES) data for the diurnal cycle on 8 and 9 November 2013 at the Scaled Wind Farm Technology Facility (SWiFT), simulation case "internal.ipa.wrf". The LES data has been generated with SOWFA-6 using Mesoscale-to-Microscale Internal Coupling. The forcing methodology was Indirect Profile Assimilation (IPA) and the forcing data was taken from a WRF simulation. The dataset includes data from 9 virtual met masts ("probes") arranged in a 3x3 grid with 1 km spacing, horizontally averaged data, several 2D instantaneous slices, and the large-scale source terms computed by the IPA algorithm. The simulation is described and analysed in the journal article "Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site" (case R therein).

Checkout the README.md file for more information. The SOWFA configuration files to run the simulation as well as all python scripts and Jupyter notebooks used for preprocessing and postprocessing of the data are archived in GitHub repositories under the A2e‐MMC GitHub organization.

• 2023-02-17 first online, published, posted

4TU.ResearchData

NetCDF files and VTK files (grouped in compressed tarballs)

Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site

• https://github.com/NREL/SOWFA-6
• https://github.com/a2e-mmc/SOWFA-setups
• https://github.com/a2e-mmc/assessment

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology
National Renewable Energy Laboratory
National Wind Technology Center