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

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 eliminating su...

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Bibliographic Details
Published in:Earth and Space Science
Main Authors: Jandreau, Jackson, Chu, Xinzhao
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286857/
http://www.ncbi.nlm.nih.gov/pubmed/35865261
https://doi.org/10.1029/2021EA002073