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dc.contributor.authorZhao, Qingyun
dc.contributor.authorHaack, Tracy
dc.contributor.authorMcLay, Justin
dc.contributor.authorReynolds, Carolyn
dc.date.accessioned2017-06-09T16:51:15Z
dc.date.available2017-06-09T16:51:15Z
dc.date.copyright2016/10/01
dc.date.issued2016
dc.identifier.issn1558-8424
dc.identifier.otherams-75329.pdf
dc.identifier.urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217653
dc.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.
dc.publisherAmerican Meteorological Society
dc.titleEnsemble Prediction of Atmospheric Refractivity Conditions for EM Propagation
dc.typeJournal Paper
dc.journal.volume55
dc.journal.issue10
dc.journal.titleJournal of Applied Meteorology and Climatology
dc.identifier.doi10.1175/JAMC-D-16-0033.1
dc.journal.fristpage2113
dc.journal.lastpage2130
dc.treeJournal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 010
dc.contenttypeFulltext


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