Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2509
DC FieldValueLanguage
dc.contributor.authorKasparis, Takis-
dc.contributor.authorLane, John E.-
dc.contributor.authorJones, Linwood W.-
dc.contributor.otherΚασπαρής, Τάκης-
dc.date.accessioned2013-02-18T12:53:35Zen
dc.date.accessioned2013-05-17T05:30:10Z-
dc.date.accessioned2015-12-02T11:28:00Z-
dc.date.available2013-02-18T12:53:35Zen
dc.date.available2013-05-17T05:30:10Z-
dc.date.available2015-12-02T11:28:00Z-
dc.date.issued2000-08-04-
dc.identifier.citationSignal Processing, Sensor Fusion, and Target Recognition IX, 2000, Orlando, Floridaen_US
dc.identifier.issn0277-786X-
dc.description.abstractRainfall drop size distribution (DSD) measurements made by single disdrometers at isolated ground sites have traditionally been used to estimate the transformation between weather radar reflectivity Z and rainfall rate R. Despite the immense disparity in sampling geometries, the resulting Z-R relation obtained by these single point measurements has historically been important in the study of applied radar meteorology. Simultaneous DSD measurements made at several ground sites within a microscale area may be used to improve the estimate of radar reflectivity in the air volume surrounding the disdrometer array. By applying the equations of motion for non-interacting hydrometeors, a volume estimate of Z is obtained from the array of ground based disdrometers by first calculating a three-dimensional drop size distribution (3D-DSD). The 3D-DSD model assumes that only gravity and terminal velocity due to atmospheric drag within the sampling volume influence hydrometeor dynamics. The sampling volume is characterized by wind velocities, which are input parameters to the 3D-DSD model, composed of vertical (updraft/downdraft) and horizontal (advection) components. Reflectivity data from four consecutive WSR-88D volume scans, acquired during a thunderstorm near Melbourne, FL on June 1, 1997, are compared to data processed using the 3D-DSD model and data from three ground based disdrometers of a microscale array.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 2000 SPIEen_US
dc.subjectMeteorologyen_US
dc.subjectSpeeden_US
dc.subjectImage processingen_US
dc.subjectRadar--Measurementen_US
dc.subjectRadaren_US
dc.titleRadar volume reflectivity estimation using an array of ground based rainfall drop size detectorsen_US
dc.typeConference Papersen_US
dc.affiliationUniversity of Central Floridaen
dc.collaborationNASA Kennedy Space Centeren_US
dc.collaborationNASA Goddard Space Flight Centreen_US
dc.collaborationEmbry-Riddle Aeronautical Universityen_US
dc.collaborationUniversity of Central Floridaen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceSPIE Conference Proceedingsen_US
dc.identifier.doi10.1117/12.395088en_US
dc.dept.handle123456789/54en
cut.common.academicyear1999-2000en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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