Field Results of New SoDAR Algorithms
10 Sep 19
5:00 PM
-
6:00 PM
Tracks:
Remote Sensing - Advances in Met Campaigns
A new generation of SoDAR measurement algorithms were validated at ten sites with collocated met towers. Raw acoustic data was collected, allowing for comparison between the old and new SoDAR versions. The new algorithms' precipitation filtering allows for comparison between SoDARs and anemometry during precipitation. The data shows, with 95% confidence, that anemometers exhibit low biases during rain and snow, consistent with the scientific literature, -1.5% on average for the campaign. A new precipitation classifier was validated using nearby mesonet stations and shows 98% precision in flagging rain events, and 97% precision for snow events. The results show an average 14m increase in the SoDAR's high quality data capture ceiling. The results show improvements in slope, offset, RMSE, and IEC Standard Uncertainty. Lastly, the results show good agreement between the SoDARs machine learning-based turbulence intensity metric and anemometer TI for long-term averages and bin-averaged Representative TI.