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

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

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.

Alkuperäiskielienglanti
LehtiAtmospheric Measurement Techniques
Vuosikerta12
Numero2
Sivut839-852
Sivumäärä14
ISSN1867-1381
DOI - pysyväislinkit
TilaJulkaistu - 7 helmikuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 1172 Ympäristötiede

Lainaa tätä

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. Julkaisussa: Atmospheric Measurement Techniques. 2019 ; Vuosikerta 12, Nro 2. Sivut 839-852.
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title = "A novel post-processing algorithm for Halo Doppler lidars",
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.",
keywords = "BOUNDARY-LAYER, CLOUD, FINLAND, MIXING-LAYER HEIGHT, RAMAN-POLARIZATION, WIND, 1172 Environmental sciences",
author = "Ville Vakkari and Manninen, {Antti J.} and Ewan O'Connor and Schween, {Jan H.} and {Van Zyl}, {Pieter G.} and Eleni Marinou",
year = "2019",
month = "2",
day = "7",
doi = "10.5194/amt-12-839-2019",
language = "English",
volume = "12",
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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, Vuosikerta 12, Nro 2, Sivut 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.

julkaisussa: Atmospheric Measurement Techniques, Vuosikerta 12, Nro 2, 07.02.2019, s. 839-852.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

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.

KW - BOUNDARY-LAYER

KW - CLOUD

KW - FINLAND

KW - MIXING-LAYER HEIGHT

KW - RAMAN-POLARIZATION

KW - WIND

KW - 1172 Environmental sciences

U2 - 10.5194/amt-12-839-2019

DO - 10.5194/amt-12-839-2019

M3 - Article

VL - 12

SP - 839

EP - 852

JO - Atmospheric Measurement Techniques

JF - Atmospheric Measurement Techniques

SN - 1867-1381

IS - 2

ER -