Independent Research Laboratory
๐Ÿšง Platform currently in active development

Weather Intelligence
for Aviation and Autonomous Systems

OpmetLab is an independent research laboratory focused on real-time meteorological data integration, quality assessment, and applied research for aviation and unmanned aerial systems.

Our research Get in touch

Research Areas

We investigate the integration, quality, and operational use of meteorological data across the aviation domain.

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Real-time OPMET data pipelines

Research on low-latency ingestion of METAR, SPECI, TAF and SIGMET from certified sources via SWIM/AMQP and WIS2/MQTT. Comparative analysis of data latency across different distribution channels.

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Meteorology for UAV / drone operations

Development of weather decision algorithms for BVLOS operations and U-Space integration. Assessment of meteorological thresholds for safe drone corridor planning in low-altitude airspace.

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High-resolution local forecasting

Downscaling of NWP models (AROME, ARPEGE) for site-specific aeronautical applications. Evaluation of nowcasting techniques for rapidly evolving conditions at aerodromes.

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OPMET data quality assessment

Systematic comparison and validation of meteorological observations from multiple sources GTS bulletins, SWIM services, SYNOP networks to quantify consistency and reliability.

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Aviation weather data formats

Research on IWXXM, BUFR and legacy TAC formats. Development of open-source parsing and conversion tools for the aeronautical meteorological community.

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Threshold alerting systems

Automated detection and notification of meteorological threshold exceedances (wind, visibility, ceiling, temperature) relevant to aerodrome operations and flight planning.

U-Space and Drone Meteorology

The rapid growth of unmanned aerial systems in controlled low-altitude airspace creates new requirements for meteorological data requirements that existing aviation weather services were not designed to meet.

OpmetLab investigates how certified aeronautical weather data can be adapted, redistributed, and integrated into U-Space service provider (USSP) architectures in compliance with EU regulation 2021/664.

  • Real-time wind and turbulence data for dynamic geofencing
  • Visibility and ceiling monitoring for BVLOS corridor management
  • Precipitation and icing detection for drone fleet operations
  • Integration with ECTL/EUROCONTROL U-Space frameworks
  • Assessment of METAR and SYNOP data relevance for low-altitude ops

Data Sources and Integration

Our research requires access to certified, low-latency meteorological data from national and international providers. We work with and evaluate the following data distribution frameworks:

  • SWIM (System Wide Information Management) EUROCONTROL Yellow Profile
  • WIS2 WMO Information System, MQTT-based global brokering
  • GTS / AMHS Global Telecommunication System bulletin feeds
  • National open data APIs FMI, KNMI, AEMET, MeteoGate EUMETNET
  • Certified national OPMET push services (AMQP/SWIM)

Technologies & Standards

Our research is grounded in international aviation and meteorological standards.

IWXXM 3.0 SWIM Yellow Profile AMQP 1.0 MQTT / WIS2 OGC WFS METAR / SPECI TAF SIGMET / AIRMET BUFR GTS Bulletins ICAO Annex 3 EU Reg. 2021/664 EUROCONTROL CP1 U-Space Python / asyncio Open-source

Contact us

Interested in collaboration, data access partnerships, or our research findings? We welcome exchanges with meteorological service providers, aviation stakeholders and researchers.

OpmetLab Research Initiative
Lead Researcher: Bruno Loustau
Contact: contact@opmetlab.com
Location: Paris, France