Project description
Predicting extreme weather events
Improving the prediction of extreme weather events is a key objective of the aviation industry in order to eliminate unexpected scenarios that compromise safety. The EU-funded SINOPTICA project will set up an updated database of remote sensing-derived, global navigation satellite system-derived and in situ weather stations variables, to be combined with an automated assimilation system that will feed a numerical weather model. SINOPTICA weather forecast results will be integrated into air traffic management decision support tools in order to visualise weather information on the controller's display and to generate new 4D trajectories to avoid severe weather areas.
Fields of science
- 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
Programme(s)
Funding Scheme
SESAR-RIA - Research and Innovation action
Coordinator
17100 Savona
Italy
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Participants (5)
51147 Koln
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1030 Wien
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35122 Padova
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22074 Lomazzo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08007 Barcelona
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