Abstract
Wind profiler radars are powerful research tools for analyzing atmospheric dynamics, and their acquired data quality is vital for accurate wind parameter estimation. The presence of precipitation poses a major challenge to traditional estimation techniques. This paper presents a novel algorithm for efficiently separating ambient air and precipitation echoes from the Doppler power spectrum. The proposed Mirror-Minimum Algorithm leverages mirror image formation in opposite off-zenith beams to separate the echoes. It is a straightforward and practical solution that can be implemented with less computing complexity than existing methods. The wind profiler radars operating worldwide can easily employ this method to improve the accuracy of estimating horizontal wind components from measurements affected by precipitation. The proposed algorithm has been validated on the Doppler power spectrum obtained from the wind profiler radar operating at 205 MHz. The experimental evaluation shows promising results in varying precipitation conditions, even in highly adverse ones.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call