Resource and Project Energy Assessment 2019

Using Shear Extrapolation to Fill Removed Low Quality Data for Upper Remote Sensing Heights

10 Sep 19
5:00 PM - 6:00 PM

Tracks: Remote Sensing - Advances in Met Campaigns

Remote sensing is becoming more widely used in part due to higher height measurements than met towers, but a limiting factor is data attenuation with height. One means of addressing lower recovery rates at a desired height is to fill in removed data using higher quality data collected at lower heights. This method draws on techniques commonly used with met tower data undergoing vertical extrapolation. Shear is measured between the target wind speed height and an available lower level, and then used to synthesize missing data at the target level. This presentation will demonstrate this technique and provide some metrics of its success via error statistics from our global Triton Validation Study. These statistics were made using a sample of 21 tall towers paired with co-located Tritons.