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Title: 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 » turbulent properties in weak signal regimes.« less

Authors:
 [1];  [2];  [3];  [1]
  1. Univ. of Helsinki, Helsinki (Finland)
  2. Finnish Meteorological Institute, Helsinki (Finland); Univ. of Reading, Reading (United Kingdom)
  3. 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. doi: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. doi: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 = {2016},
month = {3}
}

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