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)
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
Jet stream shift brings winter sunshine to Brazil, cloud to Argentina
June's jet stream shift resulted in contrasting irradiance across South America, with Brazil experiencing its sunniest winter and Argentina its cloudiest in almost two decades.
Texas solar shines through Tropical Storm Beryl
Tropical Storm Beryl caused temporary dips in Texas solar generation but bounced back quickly. Explore Beryl's path and its impacts on solar energy, and see how Texas solar weathered the storm in the second week of July.
Weather standstill limits European Solar production in June
Despite being one of the sunniest months of the year, June delivered less solar generation than average for much of Europe this year. Learn what weather patterns caused this result.