atmospheric characterization made easy by modeling, measuring and forecasting

We enable direct to Earth Laser Comms with improved climate understanding 

Laser communications are easily blocked by clouds and scattered by turbulence. Only through site diversity and redundancy can the continuity of service be ensured. Unlike fiber optics, the atmosphere is an ever changing propagation medium inducting bandwidth variation from 0 to 100% of the theoretical link capacity.

an easy access to critical data

we offer

Atmospherical characterization

Modeling, measuring and forecasting of all relevant parameters including cloud cover, turbulence and absorption.

Survey potential sites with laser communication optical ground station

The guarantee to choose the best path.

modeling

real-time, continuous atmospheric monitoring

We want to ensure that our  clients can get critical information to optimize their infrastructure or improve their decision making.

Miratlas offers its clients real-time and continuous monitoring of atmospheric turbulence. The data collected allows us to mitigate by anticipating and minimizing the impact of the atmosphere on the propagation of light.

modeling

Forecasting the atmospheric turbulence

The prediction of atmospheric conditions is the purpose of the services offered by Miratlas.

 

The prediction of atmospheric conditions is the purpose of the services offered by Miratlas.

 

In particular, the measurement and prediction of atmospheric turbulence has an important scientific value, and an important economic value as it guarantees Satcom operators an optimization of their laser telecommunication infrastructures.

To predict these disturbances, we use machine learning, which is central to the extrapolation and interpretation of data from our instrument network.

 

The quality of short-term forecasts of atmospheric disturbances depends on the quality of the data collected, but also on its quantity.

 

This quantity is increasing as our network is deployed and offers the diversity of observation sites necessary to study different climates. The data also accumulated over time and the continuity of the measurements over several years makes it possible to obtain the necessary seasonal variations.

 

an important asset

modeling the atmosphere

disruptive and innovative

our technology

Miratlas is committed to using disruptive and innovative technologies to achieve its mission. To predict these disturbances, Miratlas uses machine learning, which is central to the extrapolation and interpretation of data from our instrument network.


The quality of short-term forecasts of atmospheric disturbances depends on the quality of the data collected, but also on its quantity.
This quantity is increasing as our network is deployed and offers the diversity of observation sites necessary to study different climates. The data also accumulate over time and the continuity of the measurements over several years makes it possible to obtain the necessary seasonal variations.

empowering your decision making

Discover how atmospheric knowledge will help your organisation

Sat Com/Telecom operators

Number and locations of Optical Ground Station sites.

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Telecom equipment manufacturers

Optical Ground Station design and cost

Quantum key distribution

Site characterization, estimation of QKD exchange rate according to atmospheric
conditions

Space situational awareness

Robotic telescope site selection and operations optimization

Airport traffic monitoring

Real-time turbulence measurement for runways.

Atmospheric pollution and climatology

Improved atmospheric modelling for pollutant dispersion and climate studies.

Astronomy

Telescope safety and observation optimisation