Posters - WindEurope Annual Event 2024

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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!

PO197: Combining short-term lidar measurements and long-term satellite observations to account for spatial heterogeneities in offshore wind resource assessment

Marie Cathelain, Offshore Wind Expert (PhD), CLS


Offshore wind resource assessment is a challenge due to the scarcity of measurements at hub height. It is usually estimated based on a combination of mesoscale modelling and offshore metocean observations, floating lidars having replaced the deployment of offshore met masts. Lidars provide 1- or 2-year measurements at a single location and numerical models tend to flatten heterogeneities and extremes. As a result, an important level of uncertainty remains about the actual offshore wind resource, particularly in coastal areas where land-sea and/or air-sea interactions are strong and numerical models less accurate. The SARWind method has been developed to take advantage of long-term and high-resolution satellite observations worldwide. The 18-year database of Envisat & Sentinel 1A-1B Synthetic Aperture Radars (SAR) provides surface wind measurements at a 500-m resolution that can then be extrapolated at different heights of interest for offshore wind applications. It provides wind atlas from sea surface to 250m over large (> 3000 km²) offshore and/or coastal areas. It is also a powerful tool to capture spatial heterogeneities and can help designing lidar campaigns. A new methodology is developed to illustrate the possibility to use on-site existing Lidar data to improve the accuracy of the SAR-based wind resource, therefore taking advantage of the accuracy of Lidar measurements and of the spatial distribution assessed by SAR.

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