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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Detalles Bibliográficos
Autores principales: Jandreau, Jackson, Chu, Xinzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286857/
https://www.ncbi.nlm.nih.gov/pubmed/35865261
http://dx.doi.org/10.1029/2021EA002073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286857/
https://www.ncbi.nlm.nih.gov/pubmed/35865261
http://dx.doi.org/10.1029/2021EA002073

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