tools
WeatherMesh
WeatherMesh è il modello di previsione meteorologica basato sull’IA di WindBorne, che produce previsioni globali e regionali a partire da osservazioni raccolte con palloni, satelliti e radar e da osservazioni al suolo.
In inglese
WeatherMesh produces forecast data through an API and an insights platform. WeatherMesh-6 Global provides global forecasts with 128 ensemble members, while the 3km variant provides higher-resolution regional forecasts over CONUS.
It is used by energy traders, utilities, researchers, and weather-sensitive businesses for forecasting temperature, wind, precipitation, radiation, and other atmospheric variables. API access requires an API key; historical data is provided upon request, and commercial access requires contacting WindBorne.
Features
- Generates global WeatherMesh-6 forecasts at 0.25° resolution
- Provides 128-member ensemble forecasts with percentiles and probabilities
- Runs a 3km regional model over CONUS
- Updates global forecasts hourly and regional forecasts every 15 minutes
- Forecasts surface and upper-air variables across 25 pressure levels
- Delivers data as Zarr or netCDF through cURL, Python, or CLI
- Provides REST API access with a Python SDK and command-line interface
Use cases
- Forecast wind and temperature for energy trading decisions
- Monitor storm development and extreme-weather risk
- Estimate renewable generation from wind, solar, and precipitation forecasts
- Build weather-driven alerts and operational automations
- Analyze forecast uncertainty with ensemble members and probabilities
Pros
Cons
Latest updates
- What’s New in WeatherMesh-6 (WeatherMesh-6)
WeatherMesh-6 adds 24 new parameters, models a full ensemble in latent space, and produces forecasts at 0.25-degree and 3km resolution.
Capabilities
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Pricing
- Prices checked
- 2026-11-10