Meteorological Risk Early Warning System for Air Operations

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dc.contributor.authorFlorez Zuluaga J.A.
dc.contributor.authorDavid Ortega Pabon J.
dc.contributor.authorVargas Bonilla J.F.
dc.contributor.authorQuintero Montova O.L.
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.creatorFlorez Zuluaga J.A.
dc.creatorDavid Ortega Pabon J.
dc.creatorVargas Bonilla J.F.
dc.creatorQuintero Montova O.L.
dc.date.accessioned2021-04-12T14:11:50Z
dc.date.available2021-04-12T14:11:50Z
dc.date.issued2019-01-01
dc.description.abstractToday, airspace control has the challenge of merging information from independent and heterogeneous systems in order to minimize air safety risks and facilitate the decision-making process. One of the main risks for air operations is meteorology because convective formations like Torre cumulus or cumulonimbus could generate several dangerous phenomena such as icing, wind gusts, and thunderstorms, among others, that can affect the air operation safety. Based on previous works that allow the automatic identification of convective phenomena through the fusion of multispectral satellite images and other sources as winds and Meteorological Aerodrome Report (METAR), and establishing a common georeferenced coordinates system like WGS-84, for all sources, it can generate a system that could calculate early alerts about hazardous weather conditions in the aircrafts proximality for air traffic control system. For this, a meteorological analysis system can generate information about convective clouds calculating area, heights, temperatures, risk level and position of the meteorological formation. Parallelly the convective cloud is surrounded by optimal elliptical forms centered on the convective formation, generating a meteorological object. On the other hand, there is a system responsible for monitoring the information of the surveillance sensors. This system fused the air traffic sensors available like primary and secondary radar signals and ADS-B sensors in a unique WGS-84 coordinates system. Finally, in a georeferenced raster-Type graphing system or in a Geographic Information System (GIS), the meteorological and surveillance information is correlated projecting the track routes generates by air traffic system and traces generated by meteorological objects in order to establish times and high-risk areas, early. With this information, the Air Traffic Controller (ATC) system users, could minimize risk areas and reorganize the air traffic flow. This methodology then, would contribute to the decision-making process of ATC, facilitating the air flow reorganization and minimizing meteorological risks. For the development of this project a cooperative experimental methodology by subsystems was used. It was based on an operational knowledge and normal operating procedures of the Colombian Air Force, integrated with radar tracking technologies that implement decision trees. These alerts allow the air traffic controller to assess the risk and in accordance with the evaluation, if necessary, reorganize the air traffic flow for a specific area before the aircraft enter areas of bad weather mitigating the risks. © 2019 IEEE.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=9969
dc.identifier.doi10.1109/ISTAS48451.2019.8938012
dc.identifier.isbn9781728154800
dc.identifier.otherSCOPUS;2-s2.0-85077772328
dc.identifier.urihttp://hdl.handle.net/10784/27910
dc.language.isoengeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077772328&doi=10.1109%2fISTAS48451.2019.8938012&partnerID=40&md5=af75fa3d160a70926716ebcbd26c80b8
dc.rightsInstitute of Electrical and Electronics Engineers Inc.
dc.sourceInternational Symposium On Technology And Society, Proceedings
dc.subject.keywordAir navigationeng
dc.subject.keywordAir transportationeng
dc.subject.keywordAircrafteng
dc.subject.keywordAutomationeng
dc.subject.keywordAviationeng
dc.subject.keywordCloudseng
dc.subject.keywordControl system analysiseng
dc.subject.keywordControllerseng
dc.subject.keywordDecision makingeng
dc.subject.keywordDecision treeseng
dc.subject.keywordFlight control systemseng
dc.subject.keywordImage fusioneng
dc.subject.keywordImage processingeng
dc.subject.keywordInformation managementeng
dc.subject.keywordMeteorological problemseng
dc.subject.keywordMeteorological radareng
dc.subject.keywordMonitoringeng
dc.subject.keywordRadar trackingeng
dc.subject.keywordRisk assessmenteng
dc.subject.keywordRisk managementeng
dc.subject.keywordSafety engineeringeng
dc.subject.keywordSensor data fusioneng
dc.subject.keywordSpace-based radareng
dc.subject.keywordTracking radareng
dc.subject.keywordTraffic surveyseng
dc.subject.keywordAir control systemseng
dc.subject.keywordAir Traffic Management Systemseng
dc.subject.keywordGOES-Reng
dc.subject.keywordMeteorological analysiseng
dc.subject.keywordRadar dataeng
dc.subject.keywordSatellite image processingeng
dc.subject.keywordSurveillance sensorseng
dc.subject.keywordAir traffic controleng
dc.titleMeteorological Risk Early Warning System for Air Operationseng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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