Comparison of Three Methodologies for Removal of Random‐Noise‐Induced Biases From Second‐Order Statistical Parameters of Lidar and Radar Measurements

• Published in: Earth and Space Science
• Main Authors: Jackson Jandreau, Xinzhao Chu
• Format: Article in Journal/Newspaper
• Language: English
• Published: American Geophysical Union (AGU) 2022
• Subjects: lidar; radar; gravity waves; interleaved method; variance and covariance; potential energy density; Astronomy; QB1-991; Geology; QE1-996.5; Antarctic; Gardner; Antarc*
• Online Access: https://doi.org/10.1029/2021EA002073; https://doaj.org/article/835256555acd485baf0d79f09aa24bcf

Abstract Random‐noise‐induced biases are inherent issues to the accurate derivation of second‐order statistical parameters (e.g., variances, fluxes, energy densities, and power spectra) from lidar and radar measurements. We demonstrate here for the first time an altitude‐interleaved method for elimi...