How Tomorrow.io Collects and Uses Weather Data

Tomorrow.io Team
Tomorrow.io Team
  • Updated

Tomorrow.io delivers hyperlocal, highly accurate weather intelligence by combining data from a broad network of sources, both traditional and proprietary. Our approach is designed to overcome the limitations of public weather data alone and provide our users with decision-ready insights tailored to their specific operations.


Multi-Source Data Architecture

Our weather models ingest and synthesize data from a wide variety of sources, including:

  • Public Data Sources
    These include global meteorological agencies, such as NOAA, ECMWF, and the Japan Meteorological Agency, along with publicly available radar, satellite, and observational data feeds.

  • Private Sector Data
    We integrate data from industry partners, commercial sensors, and IoT devices that contribute additional, location-specific environmental observations.

  • User-Contributed Observations
    In supported use cases, we incorporate observations submitted through mobile devices or field-based reports, enhancing ground truth verification and model responsiveness.

  • Tomorrow.io’s Proprietary Radar Satellite Constellation
    Tomorrow.io is building the world’s first commercial weather radar satellite network. Once fully deployed, our space-based radar system will provide exclusive, high-frequency measurements of precipitation and atmospheric conditions across regions that are currently underserved by terrestrial radar—such as oceans, mountainous terrain, and remote areas.

⚠️ Most of the world has little or no reliable radar coverage today. Tomorrow.io’s satellite constellation is designed to close this gap, improving forecast accuracy for everyone, especially in data-sparse regions.


AI-Powered Forecasting Models

Raw data from these sources feeds directly into Tomorrow.io’s proprietary AI-driven forecast engine, which includes:

  • Physics-based numerical weather prediction (NWP)

  • Data assimilation techniques that update models in real time as new observations arrive

  • Machine learning models trained to detect patterns, correct biases, and enhance resolution

This hybrid approach allows us to deliver:

  • Minute-by-minute, street-level forecasts

  • Global coverage, including underserved regions

  • Highly actionable insights based on specific weather thresholds and risks


Space Data and Tomorrow.io's Mission

Our space mission is at the core of Tomorrow.io’s vision: to democratize access to reliable weather intelligence, especially in regions where ground infrastructure is limited or nonexistent.

To learn more:


Want to Learn More?

If you're interested in seeing how Tomorrow.io's data engine can improve your forecasts and operations:

🌐 Request a demo of the platform

📩 Contact sales@tomorrow.io for more information

🛠️ Developers can explore data integration options via our API documentation

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