| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 4 | |
| Section | Joint CLRC/ILRC Session: New Lidar Technologies and Methods | |
| DOI | https://doi.org/10.1051/epjconf/202636201006 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636201006
New Lidar Technique to Eliminate Noise Floor from Spectra: A Demonstration using Antarctic Observations and Modeling
University oj Colorado Boulder, CIRES, 216 UCB, Boulder, CO 80309, USA E-mail address: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
Noise in lidar data greatly complicates the derivation of crucial second-order parameters (such as atmospheric wave energies, fluxes, and spectra), especially when the signal-to-noise ratio is low, leaving a bias in the derived parameters. Following studies exploring the use of covariance to eliminate the noise bias in the temporospatial domain, this study explores using the cross power spectral density to eliminate the noise floor in spectral data. It is found that the method is effective in most cases, and the study also explores the accuracy and precision of the approach.
© The Authors, published by EDP Sciences, 2026
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