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This study evaluates commonly used methods of extractinggravity-wave-induced temperature perturbations from lidar measurements. Thespectral response of these methods is characterized with the help ofa synthetic data set with known temperature perturbations added toa realistic background temperature profile. The simulations arecarried out with the background temperature being either constant orvarying in time to evaluate the sensitivity to temperatureperturbations not caused by gravity waves. The different methods areapplied to lidar measurements over New Zealand, and the performance ofthe algorithms is evaluated. We find that the Butterworth filterperforms best if gravity waves over a wide range of periods are to beextracted from lidar temperature measurements. The running mean methodgives good results if only gravity waves with short periods are to be analyzed

Evaluation of methods for gravity wave extraction from middle-atmospheric lidar temperature measurements