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    A Method of Retrieving Turbulence Parameters from Volume Processing of Single-Doppler Radar Measurements

    Source: Journal of Atmospheric and Oceanic Technology:;1991:;volume( 008 ):;issue: 004::page 491
    Author:
    Campistron, Bernard
    ,
    Long, Alexis B.
    ,
    Huggins, Arlen W.
    DOI: 10.1175/1520-0426(1991)008<0491:AMORTP>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In previous work the derivation of turbulence parameters from single-Doppler radar observations was performed with data acquired along a horizontal circle. Here the technique is extended to all the radar data within a horizontal cylindrical slice of finite depth using the same basic assumptions of linearity of the mean wind field and horizontal homogeneity of the turbulence. The method allows the extraction of the six Reynolds stress components, together with their vertical derivatives, and the turbulent fluxes of a scalar quantity deduced from the reflectivity data. Experimental data were used for the performance evaluation of the methodology. A simple testing procedure was carried out to remove erroneous results. The statistical uncertainty in the measured Reynolds stress terms was found to be about 0.05 m2 s?2, except for the variance of the vertical component, which was poorly retrieved because of an absence of data at high elevation angles. Calculations showed that contamination of the vertical momentum flux measurements by the scatterer fall speed was negligible. An analysis of the response function of the technique to the atmospheric scales tended to show that the diameter of the processing slices corresponded to the largest turbulent scale dimension involved in the measured turbulence quantities.
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      A Method of Retrieving Turbulence Parameters from Volume Processing of Single-Doppler Radar Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4208066
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    contributor authorCampistron, Bernard
    contributor authorLong, Alexis B.
    contributor authorHuggins, Arlen W.
    date accessioned2017-06-09T16:22:29Z
    date available2017-06-09T16:22:29Z
    date copyright1991/08/01
    date issued1991
    identifier issn0739-0572
    identifier otherams-667.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4208066
    description abstractIn previous work the derivation of turbulence parameters from single-Doppler radar observations was performed with data acquired along a horizontal circle. Here the technique is extended to all the radar data within a horizontal cylindrical slice of finite depth using the same basic assumptions of linearity of the mean wind field and horizontal homogeneity of the turbulence. The method allows the extraction of the six Reynolds stress components, together with their vertical derivatives, and the turbulent fluxes of a scalar quantity deduced from the reflectivity data. Experimental data were used for the performance evaluation of the methodology. A simple testing procedure was carried out to remove erroneous results. The statistical uncertainty in the measured Reynolds stress terms was found to be about 0.05 m2 s?2, except for the variance of the vertical component, which was poorly retrieved because of an absence of data at high elevation angles. Calculations showed that contamination of the vertical momentum flux measurements by the scatterer fall speed was negligible. An analysis of the response function of the technique to the atmospheric scales tended to show that the diameter of the processing slices corresponded to the largest turbulent scale dimension involved in the measured turbulence quantities.
    publisherAmerican Meteorological Society
    titleA Method of Retrieving Turbulence Parameters from Volume Processing of Single-Doppler Radar Measurements
    typeJournal Paper
    journal volume8
    journal issue4
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1991)008<0491:AMORTP>2.0.CO;2
    journal fristpage491
    journal lastpage505
    treeJournal of Atmospheric and Oceanic Technology:;1991:;volume( 008 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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