Project-FlySafe Systems-WIMS-On ground Weather systems - Weather Information Management Systems (WIMS)
On ground Weather systems - Weather Information Management Systems (WIMS)

Innovation resides in the ground production of weather products dedicated to aviation safety.
Four types of atmospheric hazards have been identified that require specific development in FLYSAFE:

Hazard Situation
wake vortex is not accounted for by current atmospheric models
clear air turbulence particularly difficult to observe from the ground or from satellites, poorly diagnosed in weather prediction
icing recent progress has mainly been focused on ground infrastructures
thunderstorms recent progress has mainly been focused on ground prediction of flood and gust

The prediction of these atmospheric phenomena has been improved thanks to increased computer power and satellite observations. In order to extend the predictions to the associated hazards at altitude, as described in work package 2.2. FLYSAFE will capitalise on that progress and develop new algorithms that are referred to as Weather Information Management Systems (WIMS) for these atmospheric aviation hazards

For the WIMS to address both the large scale/low spatial resolution for en route and a limited domain/fine spatial resolution for the airport terminal area, algorithms and communication tools with aircraft will be implemented according to the following two configurations:
  • a central weather processor (CWP) and communication system mode,
  • a network of local weather processors (LWP) to be distributed at airports.

These two modes will ensure applicability and the exploitation of FLYSAFE's innovative outcomes within the framework of the forthcoming Meteorological Service for International Air Navigation whose implementation is presently being examined by the ICAO and The Single European Sky Initiative.

Both configurations will be validated on a single location during the last year of the project.

Based on the most recent nowcasting techniques the WIMS will increase the confidence and the accuracy of the predictions, hence they will maximise the frequency with which hazardous conditions are identified and thus minimise the occurrence of false alarms.




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