Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/198263
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dc.contributor.authorTemme, Marco-Michael-
dc.contributor.authorGluchshenko, Olga-
dc.contributor.authorNöhren, Lennard-
dc.contributor.authorKleinert, Matthias-
dc.contributor.authorOhneiser, Oliver-
dc.contributor.authorMuth, Kathleen-
dc.contributor.authorEhr, Heiko-
dc.contributor.authorTemme, Annette-
dc.contributor.authorLagasio, Martina-
dc.contributor.authorMilelli, Massimo-
dc.contributor.authorMazzarella, Vincenzo-
dc.contributor.authorParodi, Antonio-
dc.contributor.authorRealini, Eugenio-
dc.contributor.authorFederico, Stefano-
dc.contributor.authorTorcasio, Rosa Claudia-
dc.contributor.authorKerschbaum, Markus-
dc.contributor.authorEsbrí, Laura-
dc.contributor.authorLlasat Botija, María del Carmen-
dc.contributor.authorRigo, Tomeu-
dc.contributor.authorBiondi, Riccardo-
dc.date.accessioned2023-05-19T15:08:02Z-
dc.date.available2023-05-19T15:08:02Z-
dc.date.issued2023-02-24-
dc.identifier.issn2226-4310-
dc.identifier.urihttp://hdl.handle.net/2445/198263-
dc.description.abstractIn the H2020 project 'Satellite-borne and INsitu Observations to Predict The Initiation of Convection for ATM' (SINOPTICA), an air traffic controller support system was extended to organize approaching traffic even under severe weather conditions. During project runtime, traffic days with extreme weather events in the Po Valley were analyzed, an arrival manager was extended with a module for 4D diversion trajectory calculation, two display variants for severe weather conditions in an air traffic controller primary display were developed, and the airport Milano Malpensa was modelled for an air traffic simulation. On the meteorological side, three new forecasting techniques were developed to better nowcast weather events affecting tactical air traffic operations and used to automatically organize arrival traffic. Additionally, short-range weather forecasts with high spatial resolution were elaborated using radar-based nowcasting and a numerical weather prediction model with data assimilation. This nowcast information was integrated into the extended arrival manager for the sequencing and guiding of approaching aircraft even in adverse weather situations. The combination of fast and reliable weather nowcasts with a guidance support system enables severe weather diversion coordination in combination with a visualization of its dynamics on traffic situation displays.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPI-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/aerospace10030210-
dc.relation.ispartofAerospace, 2023, num. 10, p. 210-
dc.relation.urihttps://doi.org/10.3390/aerospace10030210-
dc.rightscc-by (c) Temme, M.M. et al., 2023-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.sourceArticles publicats en revistes (Física Aplicada)-
dc.subject.classificationNavegació aèria-
dc.subject.classificationTemps (Meteorologia)-
dc.subject.classificationAeroports-
dc.subject.otherAerial navigation-
dc.subject.otherWeather-
dc.subject.otherAirports-
dc.titleAir Traffic Control in Adverse Weather Situations: 4D Arrival Trajectory Planning and Route Advisories Using New Weather Forecast Models-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec732089-
dc.date.updated2023-05-19T15:08:02Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Física Aplicada)

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