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GE Renewable Energy: Perdigao wind dataset from Large Eddy Simulation and ERA5

    Anatole Julian | GE Renewable Energy
    Suzanne Parete-Koon | Oak Ridge National Laboratory
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Description

Perdigao wind research dataset including ERA5 data, high resolution and low resolution Large Eddy Simulations for the year 2020 at 1 hour frequency. Generated using Copernicus Climate Change Service information 2022[1] [1] Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 05-04-2022), 10.24381/cds.adbb2d47

Funding Information

DOE Contract Number

DEAC05-00OR22725

Originating Research Organization

General Electric Company Renewable Energy Division

Other Contributing Organizations

Copernicus Climate Change Service 2022

Sponsoring Organization

General Electric Company Renewable Energy Division

Details

Release Date

May 5, 2022

Subject

17 WIND ENERGY

Keywords

wind, LES, Large Eddy Simulations

Dataset

Dataset Type

ND Numeric Data

Cite This Dataset:

Julian, A., Parete-Koon, S. (2022). GE Renewable Energy: Perdigao wind dataset from Large Eddy Simulation and ERA5. Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/1866127.

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.