LES dataset of the 8-9 November 2013 diurnal cycle at the SWiFT site – internal.ipa.wrf

doi: 10.4121/22014659.v1
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
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Delft University of Technology logo
Scaled Wind Farm Technology Facility, Lubbock, Texas
lat (N): 33.61054
lon (E): -102.05054
view on openstreetmap
time coverage
2013-11-08 12:00:00/2013-11-09 12:00:00
cc-by.png logo CC BY 4.0

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
NetCDF files and VTK files (grouped in compressed tarballs)
TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology
National Renewable Energy Laboratory
National Wind Technology Center


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