抄録
This research focused on the "width of wind velocity", which is the standard deviation of wind velocity, as a new index for detecting Clear Air Turbulence (CAT) form the lidar measurement data with noise. In order to comfirm the detectability of the CAT by the width of wind velocity, it was compared with the time history of perpendicular acceleration that shows the shake of airplane. And, to expand the measurement range of the width of wind velocity, spectrum fitting method was applied to the measurement data and its effectiveness was investigated. As a result, width of wind velocity was confirmed as a valid index for detecting CAT and the effectiveness of spectrum fitting method to expand measurement range was proven.
