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Solar data services… in the cloud
We built a new approach to solar forecasting and modeling technology from the ground up, using the latest in weather satellite imagery, machine learning, computer vision and big databases. We crunch more than 600 million new forecasts every hour in a cloud-based environment on AWS and provide real-time access to our data via API. Use the API Toolkit to access nearly 20 years of historical data, including TMY files.
Historical and TMY Data
- Low uncertainty, zero bias, bankable dataset
- Independent validation & global coverage
- High resolution data: Up to 5 minute / 90 metre resolution
- PV modelling software integration (PVSyst, SAM, TMY3, CSV)
- Solar irradiance (GHI, DNI, DHI)
- Weather (Temp, Wind, Humidity, Snow, etc)
- Includes aerosol impacts (tracking of smoke, dust, haze)
- Accessible bankable data source for resource assessment
via DNV's Solar Resource Compass
Live and Forecast Data
- Solar irradiance data (GHI, DNI, Diffuse)
- Weather (Temp, Wind, Humidity, Snow, etc)
- PV power modelling (Rooftop or Utility Scale)
- Fully-global coverage
- Rapid update (new forecasting data every 5-15 minutes)
- Proprietary cloud & aerosol detection (tracking smoke, dust, haze)
- Probabilistic forecasting outputs
- Real-time data through to 14 days ahead at 5, 10, 15, 30 & 60 minute resolution
- Delivered via REST API (download CSV or JSON)
Learn more about our data
Latest Posts
Shifting cloud patterns boost solar potential in the Amazon
As solar irradiance in the Amazon Basin climbs 10% above average—driven by drier conditions and shifting cloud patterns—southern South America experiences dramatic swings, with floods cutting irradiance by up to 20% in some regions.
High pressure ridge splits Australia’s solar output in Autumn
Autumn 2025 saw contrasting solar performance in Australia: East Coast underperformed while the West and South saw gains. Learn how high pressure shaped irradiance patterns.
East Coast irradiance dips as storm systems dominate May
East Coast solar underperformed in May due to storms, while West and Midwest saw stable conditions. Learn what drove this split in solar conditions.