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FARBES · Project

Actionable Space Weather Forecasting for Satellite Asset Protection

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Imagine trying to predict a storm at sea, but you can only see the clouds an hour before they hit. Instead of guessing when the storm starts, this system waits for the first drop of rain and then accurately predicts how bad the storm will get and when it will end. It uses simple ground-based sensors to give satellite operators a clear heads-up to protect their equipment.

By the numbers
1
hour lead time for L1 data
3
submodels in wave propagation model
The business problem

What needed solving

Satellite operators cannot accurately predict the start of space weather events, and current L1 data only provides a one-hour lead time. This lack of actionable data leads to inefficient asset protection and increased risk of hardware failure.

The solution

What was built

A complex wave propagation model comprising magnetospheric, transionospheric, and subionospheric submodels to forecast radiation belt dynamics using ground-based inputs.

Audience

Who needs this

Commercial Satellite OperatorsSpace Agency Mission ControllersSatellite Component ManufacturersOrbital Asset Insurance Providers
Business applications

Who can put this to work

Satellite Communications
enterprise
Target: Commercial satellite fleet operator

If you are a fleet operator dealing with unpredictable radiation spikes that damage electronics — this project developed a scenario-driven forecast that predicts the most severe flux reached and the time to the end of the event. This allows for precise timing of protective measures.

Aerospace Manufacturing
mid-size
Target: Spacecraft hardware designer

If you are a hardware designer dealing with radiation-induced component failure — this project developed physics-based models driven by ground-based inputs that identify the time to the most severe environment. This data helps in refining shielding requirements for assets in space.

Defense & Security
enterprise
Target: Government space surveillance agency

If you are a security agency dealing with the loss of critical orbital assets during solar events — this project developed a real-time refined forecast system. It provides actionable data on event duration and severity to maintain operational continuity.

Frequently asked

Quick answers

What is the cost or price of implementing this system?

Based on available project data, no commercial pricing is listed, but the project emphasizes using simple and affordable ground-based real-time inputs to reduce costs.

Is this system ready for industrial scale?

The project is currently in the development and verification phase, having created a complex wave propagation model with three submodels. It is not yet described as a scaled industrial product.

How is the IP or licensing handled?

Based on available project data, there is no specific information regarding patents or licensing agreements for the developed models.

How does this integrate with existing satellite operations?

The system provides three specific actionable characteristics: time to most severe environment, most severe flux, and time to end of event, which are designed to be used by spacecraft operators.

What is the timeline for deployment?

The project period runs from 2023-01-01 to 2025-12-31, suggesting the final results will be available by the end of 2025.

Consortium

Who built it

The consortium is purely academic and research-driven, consisting of 6 partners from 6 countries. With 2 universities and 4 research organizations, there is a 0% industry ratio, indicating the current output is a scientific tool rather than a commercial product.

How to reach the team

Contact EOTVOS LORAND TUDOMANYEGYETEM in Hungary

Next steps

Talk to the team behind this work.

Contact us to bridge the gap between these physics models and commercial satellite operations.