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- W4286497187 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> The correct representation of wind speeds at hub height (e.g., <span class=inline-formula>100</span>âm above ground) is becoming more and more important with respect to the expansion of renewable energy. In this study, a post-processing of the wind speed of the regional reanalysis COSMO-REA6 in Central Europe is performed based on a combined physical and statistical approach. The physical basis is provided by downscaling wind speeds with the help of a diagnostic wind model, which reduces the horizontal grid point spacing by a factor of 8 compared to COSMO-REA6 and considers different vertical atmospheric stabilities. In the second step, a statistical correction is performed using a neural network, as well as a generalized linear model based on different variables of the reanalysis. Although only a few measurements by masts or lidars are available at hub height, an improvement of the wind speed in the root-mean-squared error of almost 30â% can be achieved. A final comparison with radiosonde observations confirms the added value of combining the physical and statistical approaches in post-processing the wind speed." @default.
- W4286497187 created "2022-07-22" @default.
- W4286497187 creator A5033774454 @default.
- W4286497187 date "2022-07-21" @default.
- W4286497187 modified "2023-09-26" @default.
- W4286497187 title "Comment on wes-2022-20" @default.
- W4286497187 doi "https://doi.org/10.5194/wes-2022-20-ac1" @default.
- W4286497187 hasPublicationYear "2022" @default.
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