Tag: water vapor

  • Finnish Skyfora raises €6.5M to turn GNSS telecom into real-time weather sensors

    Finnish Skyfora raises €6.5M to turn GNSS telecom into real-time weather sensors

    Skyfora, a Finnish weather data company building a new global data layer for weather and AI, has raised €6.5 million to transform GNSS telecom infrastructure into a real-time atmospheric sensing network.

    The funding comes as demand for high-resolution weather data surges, driven by AI forecasting models, climate volatility, and the growing need for weather-resilient operations.

    GNSS metrology system

    Traditional weather forecasting relies on sparse networks of expensive ground stations, weather balloons, and radar systems — methods that leave vast gaps in coverage, particularly in urban areas and developing regions. Instead, Skyfora combines atmospheric physics, advanced signal processing, and artificial intelligence to extract weather intelligence from GNSS data.

    GNSS meteorology turns every GNSS receiver into a weather sensor. The more receivers in an area, the higher the resolution of atmospheric data achievable.

    GNSS signals traveling through the atmosphere are delayed by water vapor. By measuring these delays from multiple satellites and ground stations, Skyfora can create detailed 3D maps of atmospheric moisture — a critical input for weather forecasting.

    Once the atmospheric data is captured and reconstructed, the system uses AI and high-performance computing to turn it into accurate, actionable forecasts.

    Using existing GNSS receivers

    Skyfora’s core technology uses GNSS receivers already installed in telecom networks, complemented by StreamGNSS hardware where telecom GNSS is not available, to measure atmospheric humidity with high precision and frequency. The GNSS signal delays are processed into real-time weather data streams that power next-generation AI weather models and forecasting systems, enabling more accurate, earlier, and hyperlocal predictions.

    The company’s approach addresses a structural bottleneck in weather forecasting: most of the world’s atmosphere remains underobserved, and existing observation infrastructure cannot provide the data coverage and resolution required by modern AI models. Skyfora’s solution scales using existing infrastructure, requiring no new hardware at telecom sites.

    Skyfora operates active deployments across multiple countries, working with telecom operators, meteorological institutions, forecasting partners and weather-affected industries to build out real-time atmospheric sensing on a global scale.

    Latest capital round partners

    The new capital will be used to accelerate the commercial scale-up of Skyfora’s software platform and atmospheric data products, expand partnerships with telecom operators, forecasting providers, meteorological institutions and weather-affected industries, and grow the team. The primary focus is on scaling deployment and market adoption: bringing Skyfora’s real-time data, API and atmospheric intelligence dashboard to market.

    The round includes equity participation from Eviny Ventures, Ugly Duckling Ventures, Lumo Labs and the European Innovation Council (EIC) Fund, alongside non-dilutive funding from Business Finland.

    The company is actively working to deploy datasets and customer opportunities across several countries in Europe, the United States, Africa and the Middle East.

  • Papers sought on GNSS applications for water vapor observations

    Papers sought on GNSS applications for water vapor observations

    Photo: RussieseO/iStock/Getty Images Plus/Getty Images
    Image: RussieseO/iStock/Getty Images Plus/Getty Images

    Conveners of a session on GNSS applications for water vapor observations are seeking research paper submissions. The session will take place during the Asia Oceania Geosciences Society (AOGS) Conference 2023 taking place July 30 to Aug. 4 in Singapore.

    Session AG06 is titled “Assimilation of Space- and Ground-based Water Vapor Observations for Weather Forecasting and GNSS Applications.”

    Observation of water vapor is one of the priorities in the Global Climate Observing System. Obtaining and exploiting additional high-quality humidity observations from GNSS and other remote sensing techniques is essential to improve weather forecasting and climate monitoring, the session conveners explained.

    Abstract contributions are being sought on the topic, such as:

    • new algorithms to estimate water vapor from ground-based and space-based techniques, such as ground-based GNSS, space-based RO, InSAR, visible/near-infrared/infrared/microwave sensors and other sensors
    • retrieval and inter-comparison of water vapor among multiple instruments
    • assimilation and analysis of water vapor products from ground-based GNSS, space-based RO, InSAR, and various remote sensing/meteorological satellites for nowcasting and weather forecasting
    • use of numerical weather prediction models for modeling outputs as atmospheric corrections for GNSS, InSAR, VLBI and other geodetic observation techniques
    • estimation of atmospheric parameters from crowdsourcing equipment
    • atmospheric products for climate, hydrology, natural disasters and others.

    The submission deadline is Feb. 14. Submit abstracts here.

    For more information about the session, go here and select AS06 (Atmospheric Sciences AS06).