Evaluation of atmospheric temperature uncertainty caused by platform attitude fluctuation

The measurement uncertainty is an important parameter to evaluate the reliability of the Rayleigh lidar in detecting atmospheric temperature. This presentation aims to study the atmospheric temperature measurement uncertainty of a floating platform-mounted Rayleigh lidar. A model was established for altitude correction considering the platform attitude, and the temperature uncertainty originating from the fluctuation in rolling and pitching angles was evaluated using the Monte Carlo method (MCM). The results show that the atmospheric temperature uncertainty due to platform fluctuation is confined to 10(-2) K when the detection altitude is up to 65 km.