A novel post-processing algorithm for Halo Doppler lidars

Ville Vakkari, Antti J. Manninen, Ewan O'Connor, Jan H. Schween, Pieter G. Van Zyl, Eleni Marinou

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Commercially available Doppler lidars have now been proven to be efficient tools for studying winds and turbulence in the planetary boundary layer. However, in many cases low signal-to-noise ratio is still a limiting factor for utilising measurements by these devices. Here, we present a novel post-processing algorithm for Halo Stream Line Doppler lidars, which enables an improvement in sensitivity of a factor of 5 or more. This algorithm is based on improving the accuracy of the instrumental noise floor and it enables longer integration times or averaging of high temporal resolution data to be used to obtain signals down to -32 dB. While this algorithm does not affect the measured radial velocity, it improves the accuracy of radial velocity uncertainty estimates and consequently the accuracy of retrieved turbulent properties. Field measurements using three different Halo Doppler lidars deployed in Finland, Greece and South Africa demonstrate how the new post-processing algorithm increases data availability for turbulent retrievals in the planetary boundary layer, improves detection of high-altitude cirrus clouds and enables the observation of elevated aerosol layers.

Originalspråkengelska
TidskriftAtmospheric Measurement Techniques
Volym12
Utgåva2
Sidor (från-till)839-852
Antal sidor14
ISSN1867-1381
DOI
StatusPublicerad - 7 feb 2019
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 1172 Miljövetenskap

Citera det här

Vakkari, V., Manninen, A. J., O'Connor, E., Schween, J. H., Van Zyl, P. G., & Marinou, E. (2019). A novel post-processing algorithm for Halo Doppler lidars. Atmospheric Measurement Techniques, 12(2), 839-852. https://doi.org/10.5194/amt-12-839-2019
Vakkari, Ville ; Manninen, Antti J. ; O'Connor, Ewan ; Schween, Jan H. ; Van Zyl, Pieter G. ; Marinou, Eleni. / A novel post-processing algorithm for Halo Doppler lidars. I: Atmospheric Measurement Techniques. 2019 ; Vol. 12, Nr. 2. s. 839-852.
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abstract = "Commercially available Doppler lidars have now been proven to be efficient tools for studying winds and turbulence in the planetary boundary layer. However, in many cases low signal-to-noise ratio is still a limiting factor for utilising measurements by these devices. Here, we present a novel post-processing algorithm for Halo Stream Line Doppler lidars, which enables an improvement in sensitivity of a factor of 5 or more. This algorithm is based on improving the accuracy of the instrumental noise floor and it enables longer integration times or averaging of high temporal resolution data to be used to obtain signals down to -32 dB. While this algorithm does not affect the measured radial velocity, it improves the accuracy of radial velocity uncertainty estimates and consequently the accuracy of retrieved turbulent properties. Field measurements using three different Halo Doppler lidars deployed in Finland, Greece and South Africa demonstrate how the new post-processing algorithm increases data availability for turbulent retrievals in the planetary boundary layer, improves detection of high-altitude cirrus clouds and enables the observation of elevated aerosol layers.",
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Vakkari, V, Manninen, AJ, O'Connor, E, Schween, JH, Van Zyl, PG & Marinou, E 2019, 'A novel post-processing algorithm for Halo Doppler lidars' Atmospheric Measurement Techniques, vol. 12, nr. 2, s. 839-852. https://doi.org/10.5194/amt-12-839-2019

A novel post-processing algorithm for Halo Doppler lidars. / Vakkari, Ville; Manninen, Antti J.; O'Connor, Ewan; Schween, Jan H.; Van Zyl, Pieter G.; Marinou, Eleni.

I: Atmospheric Measurement Techniques, Vol. 12, Nr. 2, 07.02.2019, s. 839-852.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

TY - JOUR

T1 - A novel post-processing algorithm for Halo Doppler lidars

AU - Vakkari, Ville

AU - Manninen, Antti J.

AU - O'Connor, Ewan

AU - Schween, Jan H.

AU - Van Zyl, Pieter G.

AU - Marinou, Eleni

PY - 2019/2/7

Y1 - 2019/2/7

N2 - Commercially available Doppler lidars have now been proven to be efficient tools for studying winds and turbulence in the planetary boundary layer. However, in many cases low signal-to-noise ratio is still a limiting factor for utilising measurements by these devices. Here, we present a novel post-processing algorithm for Halo Stream Line Doppler lidars, which enables an improvement in sensitivity of a factor of 5 or more. This algorithm is based on improving the accuracy of the instrumental noise floor and it enables longer integration times or averaging of high temporal resolution data to be used to obtain signals down to -32 dB. While this algorithm does not affect the measured radial velocity, it improves the accuracy of radial velocity uncertainty estimates and consequently the accuracy of retrieved turbulent properties. Field measurements using three different Halo Doppler lidars deployed in Finland, Greece and South Africa demonstrate how the new post-processing algorithm increases data availability for turbulent retrievals in the planetary boundary layer, improves detection of high-altitude cirrus clouds and enables the observation of elevated aerosol layers.

AB - Commercially available Doppler lidars have now been proven to be efficient tools for studying winds and turbulence in the planetary boundary layer. However, in many cases low signal-to-noise ratio is still a limiting factor for utilising measurements by these devices. Here, we present a novel post-processing algorithm for Halo Stream Line Doppler lidars, which enables an improvement in sensitivity of a factor of 5 or more. This algorithm is based on improving the accuracy of the instrumental noise floor and it enables longer integration times or averaging of high temporal resolution data to be used to obtain signals down to -32 dB. While this algorithm does not affect the measured radial velocity, it improves the accuracy of radial velocity uncertainty estimates and consequently the accuracy of retrieved turbulent properties. Field measurements using three different Halo Doppler lidars deployed in Finland, Greece and South Africa demonstrate how the new post-processing algorithm increases data availability for turbulent retrievals in the planetary boundary layer, improves detection of high-altitude cirrus clouds and enables the observation of elevated aerosol layers.

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