KAIROS developed an AI-based forecasting service to improve the prediction of key aviation weather hazards, including:
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Convection (thunderstorms)
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Low visibility (fog)
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Turbulence
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High-altitude icing
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Dust and SO₂
The solution delivers digital, multi-hazard forecasts to support aviation stakeholders across all phases of operations.
KAIROS AI MET Forecast
What does the system provide?
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Hazard type and spatial distribution
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Forecast horizon and validity time
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Severity and/or probability indicators
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Near real-time updates
Designed for use at multiple scales, from network-wide planning to airport-level operations.
How is the information delivered?
Forecasts are provided as standardised geospatial data layers via GeoServer, using WMS (Web Map Service) and WFS (Web Feature Service). This allows:
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Integration into existing operational tools
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Use within ATM, airport, and U-space systems
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Visualisation in dashboards or GIS platforms
How should this forecast be used?
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Designed to complement certified meteorological services
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Supports situational awareness and decision-making
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Not a replacement for official aviation MET services
Key Features
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AI-based multi-hazard forecasting
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Digital and interoperable (GeoServer, WMS/WFS)
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Scalable across operational levels
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Near real-time updates
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Standardised metadata for interpretation
