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    Improving HF Radar Estimates of Surface Currents Using Signal Quality Metrics, with Application to the MVCO High-Resolution Radar System

    Source: Journal of Atmospheric and Oceanic Technology:;2012:;volume( 029 ):;issue: 009::page 1377
    Author:
    Kirincich, Anthony R.
    ,
    de Paolo, Tony
    ,
    Terrill, Eric
    DOI: 10.1175/JTECH-D-11-00160.1
    Publisher: American Meteorological Society
    Abstract: stimates of surface currents over the continental shelf are now regularly made using high-frequency radar (HFR) systems along much of the U.S. coastline. The recently deployed HFR system at the Martha?s Vineyard Coastal Observatory (MVCO) is a unique addition to these systems, focusing on high spatial resolution over a relatively small coastal ocean domain with high accuracy. However, initial results from the system showed sizable errors and biased estimates of M2 tidal currents, prompting an examination of new methods to improve the quality of radar-based velocity data. The analysis described here utilizes the radial metric output of CODAR Ocean Systems? version 7 release of the SeaSonde Radial Site Software Suite to examine both the characteristics of the received signal and the output of the direction-finding algorithm to provide data quality controls on the estimated radial currents that are independent of the estimated velocity. Additionally, the effect of weighting spatial averages of radials falling within the same range and azimuthal bin is examined to account for differences in signal quality. Applied to two month-long datasets from the MVCO high-resolution system, these new methods are found to improve the rms difference comparisons with in situ current measurements by up to 2 cm s?1, as well as reduce or eliminate observed biases of tidal ellipses estimated using standard methods.
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      Improving HF Radar Estimates of Surface Currents Using Signal Quality Metrics, with Application to the MVCO High-Resolution Radar System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4227982
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorKirincich, Anthony R.
    contributor authorde Paolo, Tony
    contributor authorTerrill, Eric
    date accessioned2017-06-09T17:24:16Z
    date available2017-06-09T17:24:16Z
    date copyright2012/09/01
    date issued2012
    identifier issn0739-0572
    identifier otherams-84625.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227982
    description abstractstimates of surface currents over the continental shelf are now regularly made using high-frequency radar (HFR) systems along much of the U.S. coastline. The recently deployed HFR system at the Martha?s Vineyard Coastal Observatory (MVCO) is a unique addition to these systems, focusing on high spatial resolution over a relatively small coastal ocean domain with high accuracy. However, initial results from the system showed sizable errors and biased estimates of M2 tidal currents, prompting an examination of new methods to improve the quality of radar-based velocity data. The analysis described here utilizes the radial metric output of CODAR Ocean Systems? version 7 release of the SeaSonde Radial Site Software Suite to examine both the characteristics of the received signal and the output of the direction-finding algorithm to provide data quality controls on the estimated radial currents that are independent of the estimated velocity. Additionally, the effect of weighting spatial averages of radials falling within the same range and azimuthal bin is examined to account for differences in signal quality. Applied to two month-long datasets from the MVCO high-resolution system, these new methods are found to improve the rms difference comparisons with in situ current measurements by up to 2 cm s?1, as well as reduce or eliminate observed biases of tidal ellipses estimated using standard methods.
    publisherAmerican Meteorological Society
    titleImproving HF Radar Estimates of Surface Currents Using Signal Quality Metrics, with Application to the MVCO High-Resolution Radar System
    typeJournal Paper
    journal volume29
    journal issue9
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-11-00160.1
    journal fristpage1377
    journal lastpage1390
    treeJournal of Atmospheric and Oceanic Technology:;2012:;volume( 029 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian