Latest Issue
 
Windtech International May June 2024 issue

 

FOLLOW US AT

follow

 

follow
CLS Figure 1 Features articleCombining SAR Measurements, Models, Lidar and Artificial Intelligence
Offshore wind resource assessment (WRA) is a challenge due to the scarcity of measurements at hub height. The 18-year database of European synthetic aperture radars (SAR) provides worldwide sea surface wind measurements at 1-kilometre resolution. Through an innovative vertical extrapolation methodology these long-term, wide, high-resolution observations can complement in situ observations and mesoscale modelling for offshore WRA. The methodology is based on four steps: derivation of the 10-minute SAR surface winds from SAR sea surface roughness, a site- and time-independent machine learning algorithm based on a large buoy network to correct SAR surface winds, extrapolation up to 250 metres based on a second machine learning algorithm trained with in situ observations and physical parameters from a high-resolution mesoscale model related to atmospheric stability, and a final post-processing step to correct for low temporal sampling of the SAR database and to retrieve wind statistics.
 
By Mauricio Fragoso, Director, Energies and Infrastructure Monitoring, CLS, France

Login

 
Use of cookies

Windtech International wants to make your visit to our website as pleasant as possible. That is why we place cookies on your computer that remember your preferences. With anonymous information about your site use you also help us to improve the website. Of course we will ask for your permission first. Click Accept to use all functions of the Windtech International website.