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Journal of Wind Engineering and Industrial Aerodynamics

ISSN: 0167-6105

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Datasets associated with articles published in Journal of Wind Engineering and Industrial Aerodynamics

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1970
2024
1970 2024
6 results
  • Data for: Using numerical weather model outputs to forecast wind gusts during typhoons
    1. XLSX file : Observational data for each station (observational assessment) 2. TXT file: Raw verification results,mean error, for each station in every forecast hour (Model evaluation)
    • Dataset
  • Data for: Monin-Obukhov similarity theory and its application to wind flow modelling over complex terrain
    Ansys Fluent user defined functions for atmospheric boundary layer modelling including atmospheric stability using Monin Obukhov Similarity Theory
    • Dataset
  • Data for: Further discussion of “The annual rate of independent events for the analysis of extreme wind speed” By Alessio Torrielli, Maria Pia Repetto & Giovanni Solari.
    A zipped file containing the R scripts used to generate the extended simulations, the simulated results, the script to reproduce the figures in the discussion, and the instructions for their use.
    • Dataset
  • Data underlying the work: Aerodynamic benefits of drafting in speed skating: Estimates from in-field skater’s wakes and wind tunnel measurements
    This dataset contains the data underlying the work entitled 'Aerodynamic benefits of drafting in speed skating: Estimates from in-field skater’s wakes and wind tunnel measurements'.
    • Dataset
  • Data underlying the work: Aerodynamic benefits of drafting in speed skating: Estimates from in-field skater’s wakes and wind tunnel measurements
    This dataset contains the data underlying the work entitled 'Aerodynamic benefits of drafting in speed skating: Estimates from in-field skater’s wakes and wind tunnel measurements'.
    • Dataset
  • Global Atlas of Siting Parameters V1
    The Global Atlas of Siting Parameters version 1 data-sets contain microscale wind information at approximately 250m grid point spacing. The data in this directory consist of the entire global tiff at the full 0.0025 degree resolution on the WGS84 map projection. These data also include foverview pyramids to improve the viewing of the data at low resolution. Most of the data are named as follows: gasp_{variable}_{height}_cog.tif, where variable is one of the following: Atmospheric Variables * flow-inclination - Flow inclination angle calculated using the LINCOM linear flow model. * shear-exponent - Terrain-affected shear exponent calculated using the LINCOM linear flow model. * turbulence-intensity - Mean turbulence intensity, calculated using an ensemble of four models onshore, and two models offshore. * V50 - The 50 year return wind speed, using a 10-minute averaging time. This was calculated by downscaling the CFSR data using a combination of the Spectral Correction method and the LINCOM linear flow model. Loads * fls-class-nowake – IEC turbine class based on the fatigue limit state (fatigue loads), which accounts for normal conditions like wind speed distribution and effective turbulence, not including wake effects. * fls-class-wake - IEC turbine class based on the fatigue limit state (fatigue loads), which accounts for normal conditions like wind speed distribution and effective turbulence including wake effects. * uls-class - IEC turbine class based on the ultimate limit state (extreme loads), which is based on the V50 and air density at high wind speed. Uncertainty * uncertainty-ti - Uncertainty classification of turbulence intensity * uncertainty-V50 - Uncertainty classification of V50 Terrain * terrain-complexity - IEC based classification of terrain complexity
    • Dataset