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KAIROS Stakeholder Survey
AI MET FORECAST

Share your feedback to help us improve the solution

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kairos-AI MET

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KAIROS developed an AI-based forecasting service to improve the prediction of key aviation weather hazards, including:

Convection (thunderstorms)
Low visibility (fog)
Turbulence
High-altitude icing
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?

Hazard type and spatial distribution
Forecast horizon and validity time
Severity and/or probability indicators
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:

Integration into existing operational tools
Use within ATM, airport, and U-space systems
Visualisation in dashboards or GIS platforms

How should this forecast be used?

Designed to complement certified meteorological services
Supports situational awareness and decision-making
Not a replacement for official aviation MET services

Key Features

AI-based multi-hazard forecasting
Digital and interoperable (GeoServer, WMS/WFS)
Scalable across operational levels
Near real-time updates
Standardised metadata for interpretation

Why your input matters

It will help us evaluate:

Clarity and interpretability
Operational usefulness
Integration into existing systems

Take the survey now and share your feedback:

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