Descrizione del progetto
Previsione di eventi meteorologici estremi
Migliorare la previsione di eventi meteorologici estremi è un obiettivo fondamentale dell’industria aeronautica al fine di eliminare scenari imprevisti che compromettono la sicurezza. Il progetto SINOPTICA, finanziato dall’UE, creerà una banca dati aggiornata delle variabili derivate dal telerilevamento, dal sistema globale di navigazione satellitare e dalle stazioni meteorologiche in situ da combinare con un sistema di assimilazione automatizzato che alimenterà un modello meteorologico numerico. I risultati delle previsioni meteorologiche di SINOPTICA saranno integrati negli strumenti di supporto alle decisioni per la gestione del traffico aereo al fine di visualizzare le informazioni meteorologiche sul display dell’unità di controllo e generare nuove traiettorie 4D per evitare aree meteorologiche avverse.
Obiettivo
"The SINOPTICA project aims at exploiting the untapped potential of assimilating remote sensing (EO-derived and ground-based radar) as well GNSS-derived datasets and in situ weather stations data into very high-resolution, very short-range numerical weather forecasts to provide improved prediction of extreme weather events to the benefit of ATM operations. This will be done by setting up a continuously updated database of remote sensing-derived, GNSS-derived and in situ weather stations variables, in combination with an automated assimilation system to feed an NWM. The usefulness of deploying dedicated networks of sensors to monitor atmospheric variables at high spatial resolution in the vicinity of ATM ""hotspots"" such as airports will be investigated as well. SINOPTICA weather forecast results will be integrated into ATM decision-support tools, visualizing weather information on the controller's display, and generating new 4D trajectories to avoid severe weather areas. The usefulness of the newly developed SINOPTICA tools will be monitored during the project and evaluated, thanks to the involvement of ATM stakeholders in the project consortium and advisory board."
Campo scientifico
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- natural sciencescomputer and information sciencesdatabases
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
17100 Savona
Italia