Posters
Come meet the poster presenters to ask them questions and discuss their work
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!
PO180: FLS200 Uncertainty Budget
Sandra Coll-Vinent Wappenhans, Data Scientist, Eolos Floating Lidar Solutions
Abstract
EOLOS Floating Lidar Solutions is a Floating Lidar Service provider based in Barcelona, Spain. In 2022 the EOLOLS FLS200 achieved the highest commercial maturity, Stage-3, in accordance with the Carbon Trust requirements. These included three validation campaigns of at least 3 months in which a complete characterization of the buoy's type was performed. The EOL-FLS200 is a fully equipped and energy-autonomous wind measuring system based on LIDAR technology and fitted with oceanographic instrumentation. It mounts a ZX300M, provided by ZX Lidars, which is an offshore environment adapted Lidar able to measure wind speeds and directions up to 300m above sea level. Several other sensors are mounted on the buoy allowing the gathering of met-ocean data such as sea states, current profiles, atmospheric temperature and pressure, solar radiation, sea water temperature and precipitation. This study aims to improve the total uncertainty characterization of the EOL-FLS200 achieved in Stage 3, by including historical data from all validation campaigns conducted at EOLOS. A database that incorporates all prior validation data has recently been created at EOLOS, with the aim of standardizing the information and making it easily accessible. Making use of that database, calibration uncertainty as well as classification uncertainty of the FLS200 have been computed with more than three years of validation campaigns. Care has been taken to consistently unify campaigns conducted in different sites, for example by grouping different measurement heights into bins, or weight-averaging site-specific quantities. The envelope of operational conditions of the EOLOS dataset has also been presented as an essential factor in computing classification uncertainty during a floating lidar campaign.
