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    Ensemble Prediction of Atmospheric Refractivity Conditions for EM Propagation

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 010::page 2113
    Author:
    Zhao, Qingyun
    ,
    Haack, Tracy
    ,
    McLay, Justin
    ,
    Reynolds, Carolyn
    DOI: 10.1175/JAMC-D-16-0033.1
    Publisher: American Meteorological Society
    Abstract: n ensemble forecast system has been developed at the Naval Research Laboratory to improve the analyses and forecasts of atmospheric refractivity for electromagnetic (EM) propagation with the intention of accounting for uncertainties in model forecast errors. Algorithms for a matrix of ensemble statistics have been developed to analyze the probability, location, intensity, and structure of ducting of various types. Major parameters of ducting layers and their ensemble statistics are calculated from the ensemble forecasts. Their relationships to the large-scale and mesoscale environment are also investigated. The Wallops Island field experiment from late April to early May 2000 is selected to evaluate the system. During the spring season, this coastal region maintains a strong sea surface temperature gradient between cold shelf waters and the warm Gulf Stream, where the boundaries between land, the coastal water, and the Gulf Stream have a strong influence on marine boundary layer structures and the formation of ducting layers. Sounding profiles during the field experiment are used in the study to further understand the structures of the ducting layers and also to validate the ensemble forecast system. While some advantages of the ensemble system over the deterministic forecast for atmospheric refractivity prediction in the boundary layer are studied and demonstrated in this study, the weaknesses of the current ensemble system are revealed for future improvement of the system.
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      Ensemble Prediction of Atmospheric Refractivity Conditions for EM Propagation

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    contributor authorZhao, Qingyun
    contributor authorHaack, Tracy
    contributor authorMcLay, Justin
    contributor authorReynolds, Carolyn
    date accessioned2017-06-09T16:51:15Z
    date available2017-06-09T16:51:15Z
    date copyright2016/10/01
    date issued2016
    identifier issn1558-8424
    identifier otherams-75329.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217653
    description abstractn ensemble forecast system has been developed at the Naval Research Laboratory to improve the analyses and forecasts of atmospheric refractivity for electromagnetic (EM) propagation with the intention of accounting for uncertainties in model forecast errors. Algorithms for a matrix of ensemble statistics have been developed to analyze the probability, location, intensity, and structure of ducting of various types. Major parameters of ducting layers and their ensemble statistics are calculated from the ensemble forecasts. Their relationships to the large-scale and mesoscale environment are also investigated. The Wallops Island field experiment from late April to early May 2000 is selected to evaluate the system. During the spring season, this coastal region maintains a strong sea surface temperature gradient between cold shelf waters and the warm Gulf Stream, where the boundaries between land, the coastal water, and the Gulf Stream have a strong influence on marine boundary layer structures and the formation of ducting layers. Sounding profiles during the field experiment are used in the study to further understand the structures of the ducting layers and also to validate the ensemble forecast system. While some advantages of the ensemble system over the deterministic forecast for atmospheric refractivity prediction in the boundary layer are studied and demonstrated in this study, the weaknesses of the current ensemble system are revealed for future improvement of the system.
    publisherAmerican Meteorological Society
    titleEnsemble Prediction of Atmospheric Refractivity Conditions for EM Propagation
    typeJournal Paper
    journal volume55
    journal issue10
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0033.1
    journal fristpage2113
    journal lastpage2130
    treeJournal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 010
    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
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