Posters

Abstract

When evaluating measured LiDAR (Light Detection and Ranging) data, the current regional standard specifies to only use measurement data with an availability above 80% in the respective 10-minute mean. This refers to the average availability in a measured 10-min interval. Especially in areas with very clear air, meaning a very low content of aerosols in the air, or foggy areas, with a very high aerosol content, this fact leads to a disadvantage and many measured data cannot be used as they are below the required availability. With more than a hundred LiDAR measurements, we have examined data that is also below that required 80% availability with interesting findings. It was found that up to significantly less than 80% availability in the 10-min mean interval the available 10-min means can still be used due to the deviation between mast and LiDAR. Due to the non-significantly changing deviation between 100% availability in the 10-min mean value at the measurement mast and LiDAR data with lower availability in the 10-min interval, data with lower overall LiDAR availabilities could also be used. Lowering the availability threshold is especially interesting if the overall availability of the measurement is low. Nevertheless, an increasing deviation with decreasing LiDAR availability compared to the 100% availability of the reference measurement mast can be observed. With decreasing LiDAR availability, the deviation increases, so an overestimation of the wind speed of the LiDAR appears more frequently. When looking at the raw data, it is noticeable that if the same raw values that the LiDAR does not measure correctly are excluded from a 10-min interval of the met mast, a positive deviation to the unmodified 10-min mast means is also observed. By using measurement data below this threshold, significantly more measurement data could be used, and LiDAR data could become more applicable.