Advanced Weather Data for AI & ML Models and Forecasts
Quality-controlled observations, ready for Artificial Intelligence and Machine Learning weather models and forecasts.
Better Weather Data in, Better AI & ML Models and Forecasts Out
Models, forecasts, and other AI/ML applications are only as powerful as the quality of the observational data behind them. The Synoptic Weather API gives Artificial Intelligence and Machine Learning initiatives a single platform for the real-time and historical station data needed to train, fine-tune, and validate weather models and forecasts at scale.The Synoptic platform is home to
Over
170000
Stations
160+
Unique Weather Variables
2 Billion
API Calls Per Month
Built for Every Stage of the AI & ML Pipeline
Train
The Synoptic platform provides quality-controlled historical station data with a continuous stream of real-time observations across 170,000 stations and multiple network types.
- Access the raw observational data powering weather-focused models and forecasts
- Control how much data to pull and the cleanliness of the data for each unique use case
Validate & Benchmark
The Synoptic Weather API provides reliable access to historical weather data to validate model output.
- Compare a forecast or model run directly against what was actually observed at that exact place and time
- Every observation on the platform goes through Synoptic’s quality control process, so you’re benchmarking against data you can trust
Deploy
Synoptic handles over billions of queries a year through a standard RESTful API, meaning easy implementation into most existing pipelines without custom integration work
- Receive outputs from the platform in multiple formats: JSON, geoJSON, CSV, or XML
- Need data the moment it’s observed? Push Streaming delivers a continuous, quality-controlled live feed built for scalable AI & ML models