A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland
Abstract
Current commercially available Doppler lidars provide an economical and robust solution for measuring vertical and horizontal wind velocities, together with the ability to provide co- and cross-polarised backscatter profiles. The high temporal resolution of these instruments allows turbulent properties to be obtained from studying the variation in radial velocities. However, the instrument specifications mean that certain characteristics, especially the background noise behaviour, become a limiting factor for the instrument sensitivity in regions where the aerosol load is low. Turbulent calculations require an accurate estimate of the contribution from velocity uncertainty estimates, which are directly related to the signal-to-noise ratio. Any bias in the signal-to-noise ratio will propagate through as a bias in turbulent properties. In this paper we present a method to correct for artefacts in the background noise behaviour of commercially available Doppler lidars and reduce the signal-to-noise ratio threshold used to discriminate between noise, and cloud or aerosol signals. We show that, for Doppler lidars operating continuously at a number of locations in Finland, the data availability can be increased by as much as 50 % after performing this background correction and subsequent reduction in the threshold. Furthermore the reduction in bias also greatly improves subsequent calculations ofmore »
- Authors:
-
- Univ. of Helsinki, Helsinki (Finland)
- Finnish Meteorological Institute, Helsinki (Finland); Univ. of Reading, Reading (United Kingdom)
- Finnish Meteorological Institute, Helsinki (Finland)
- Publication Date:
- Research Org.:
- Univ. of Helsinki, Helsinki (Finland). Dept. of Physics
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1375419
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Atmospheric Measurement Techniques (Online)
- Additional Journal Information:
- Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 9; Journal Issue: 2; Journal ID: ISSN 1867-8548
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Manninen, Antti J., O'Connor, Ewan J., Vakkari, Ville, and Petaja, Tuukka. A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland. United States: N. p., 2016.
Web. doi:10.5194/amt-9-817-2016.
Manninen, Antti J., O'Connor, Ewan J., Vakkari, Ville, & Petaja, Tuukka. A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland. United States. https://doi.org/10.5194/amt-9-817-2016
Manninen, Antti J., O'Connor, Ewan J., Vakkari, Ville, and Petaja, Tuukka. Thu .
"A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland". United States. https://doi.org/10.5194/amt-9-817-2016. https://www.osti.gov/servlets/purl/1375419.
@article{osti_1375419,
title = {A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland},
author = {Manninen, Antti J. and O'Connor, Ewan J. and Vakkari, Ville and Petaja, Tuukka},
abstractNote = {Current commercially available Doppler lidars provide an economical and robust solution for measuring vertical and horizontal wind velocities, together with the ability to provide co- and cross-polarised backscatter profiles. The high temporal resolution of these instruments allows turbulent properties to be obtained from studying the variation in radial velocities. However, the instrument specifications mean that certain characteristics, especially the background noise behaviour, become a limiting factor for the instrument sensitivity in regions where the aerosol load is low. Turbulent calculations require an accurate estimate of the contribution from velocity uncertainty estimates, which are directly related to the signal-to-noise ratio. Any bias in the signal-to-noise ratio will propagate through as a bias in turbulent properties. In this paper we present a method to correct for artefacts in the background noise behaviour of commercially available Doppler lidars and reduce the signal-to-noise ratio threshold used to discriminate between noise, and cloud or aerosol signals. We show that, for Doppler lidars operating continuously at a number of locations in Finland, the data availability can be increased by as much as 50 % after performing this background correction and subsequent reduction in the threshold. Furthermore the reduction in bias also greatly improves subsequent calculations of turbulent properties in weak signal regimes.},
doi = {10.5194/amt-9-817-2016},
journal = {Atmospheric Measurement Techniques (Online)},
number = 2,
volume = 9,
place = {United States},
year = {Thu Mar 03 00:00:00 EST 2016},
month = {Thu Mar 03 00:00:00 EST 2016}
}
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