dc.creator | Valenzuela Romero, Alfonso | es |
dc.creator | Franco Espín, Antonio | es |
dc.creator | Rivas Rivas, Damián | es |
dc.creator | Sacher, Daniel | es |
dc.creator | Lang, Juergen | es |
dc.date.accessioned | 2021-02-26T18:04:31Z | |
dc.date.available | 2021-02-26T18:04:31Z | |
dc.date.issued | 2019-06-17 | |
dc.identifier.citation | Valenzuela Romero, A., Franco Espín, A., Rivas Rivas, D., Sacher, D. y Lang, J. (2019). An Approach to En-Route Sector Demand Prediction subject to Thunderstorms. En 13th USA/Europe Air Traffic Management Research and Development Seminar (ATM2019) (Code 151955), Viena, Austria: EUROCONTROL. | |
dc.identifier.uri | https://hdl.handle.net/11441/105521 | |
dc.description.abstract | In this paper, a probabilistic approach to en-route
sector demand prediction at tactical level subject to thunderstorm
activity is presented. The source of uncertainty is the location of
the convective cells affecting the sector. An ensemble-based
stochastic methodology is developed that takes into account the
stochastic evolution of the detected convective cells. The sector
demand is predicted for short forecasting horizons (less than one
hour); the analysis is based on the statistical characterization of
the occupancy count. A realistic application is presented. The
results show that the sector demand can be accurately predicted at
tactical level when thunderstorm uncertainties are considered.
The effects of the stochastic evolution of the convective cells on the
demand prediction are quantified. | es |
dc.description.sponsorship | Horizonte 2020 (Unión Europea) 699294 | es |
dc.format | application/pdf | es |
dc.format.extent | 10 p. | es |
dc.language.iso | eng | es |
dc.publisher | EUROCONTROL | es |
dc.relation.ispartof | 13th USA/Europe Air Traffic Management Research and Development Seminar (ATM2019) (2019), Code 151955. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Sector demand | es |
dc.subject | Occupancy count | es |
dc.subject | Weather uncertainty | es |
dc.subject | Thunderstorms | es |
dc.subject | Storm avoidance | es |
dc.title | An Approach to En-Route Sector Demand Prediction subject to Thunderstorms | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos | es |
dc.relation.projectID | 699294 | es |
dc.relation.publisherversion | http://atmseminar.org/13th-seminar/papers-and-presentations/ | es |
dc.contributor.group | Universidad de Sevilla. TEP 945 : Ingeniería Aeroespacial | es |
dc.publication.initialPage | Code 151955 | es |
dc.eventtitle | 13th USA/Europe Air Traffic Management Research and Development Seminar (ATM2019) | es |
dc.eventinstitution | Viena, Austria | es |
dc.identifier.sisius | 21848158 | es |