Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms

Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms

<p>Accurate modeling of wind conditions is vital for the efficient operation and management of wind farms. This study investigates the enhancement of weather simulations by assimilating local offshore light detection and ranging (lidar) and/or supervisory control and data acquisition (SCADA) d...

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Bibliographic Details
Main Authors: T. Ivanova, S. Porchetta, S. Buckingham, G. Glabeke, J. van Beeck, W. Munters
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/10/245/2025/wes-10-245-2025.pdf
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