Validation of WRF generated wind field in complex terrain

Turið Poulsen; Bárður A. Niclasen; Gregor Giebel; Hans Georg Beyer

doi:10.1127/metz/2021/1068

Validation of WRF generated wind field in complex terrain

Turið Poulsen, Bárður A. Niclasen, Gregor Giebel, Hans Georg Beyer

Náttúruvísindadeildin - Faculty of Science and Technology

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Abstract

Spatial and temporal characteristics of simulated wind fiel – stemming from the mesoscale numerical weather prediction system WRF with boundary conditions from ERA5 reanalysis data – are validated against measurements in complex terrain. In addition to finding statistical error metrics in the form of bias, RMSE, and correlation coefficients, the study carries out spectral comparisons in the form of power spectral densities and coherence functions. The spectral values of the WRF-generated wind speeds are lower compared to what is seen for the measured data, while the coherence function yield higher values. However, there is a significant improvement of the spectral characteristics of the WRF-generated wind speeds from those of the ERA5 wind speeds.

Original language	English
Pages (from-to)	413-428
Number of pages	16
Journal	Meteorologische Zeitschrift (Contributions to Atmospheric Sciences)
Volume	30
Issue number	5
DOIs	https://doi.org/10.1127/metz/2021/1068
Publication status	Published - 22 Oct 2021

Keywords

energy meteorology
wind energy
Mesoscale wind modeling
model validation
Spectral characteristics
complex terrain

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10.1127/metz/2021/1068

Poulsen, T. et al Validation of WRF 2021Final published version, 5.11 MBLicence: CC BY

Cite this

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N2 - Spatial and temporal characteristics of simulated wind fiel – stemming from the mesoscale numerical weather prediction system WRF with boundary conditions from ERA5 reanalysis data – are validated against measurements in complex terrain. In addition to finding statistical error metrics in the form of bias, RMSE, and correlation coefficients, the study carries out spectral comparisons in the form of power spectral densities and coherence functions. The spectral values of the WRF-generated wind speeds are lower compared to what is seen for the measured data, while the coherence function yield higher values. However, there is a significant improvement of the spectral characteristics of the WRF-generated wind speeds from those of the ERA5 wind speeds.

AB - Spatial and temporal characteristics of simulated wind fiel – stemming from the mesoscale numerical weather prediction system WRF with boundary conditions from ERA5 reanalysis data – are validated against measurements in complex terrain. In addition to finding statistical error metrics in the form of bias, RMSE, and correlation coefficients, the study carries out spectral comparisons in the form of power spectral densities and coherence functions. The spectral values of the WRF-generated wind speeds are lower compared to what is seen for the measured data, while the coherence function yield higher values. However, there is a significant improvement of the spectral characteristics of the WRF-generated wind speeds from those of the ERA5 wind speeds.

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KW - wind energy

KW - Mesoscale wind modeling

KW - model validation

KW - Spectral characteristics

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Validation of WRF generated wind field in complex terrain

Abstract

Keywords

UN SDGs

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