WeatherMesh
WeatherMesh transforms raw balloon observations into the world’s fastest, most accurate weather forecasts. By combining cutting-edge AI models with a unique global network of weather balloons, we deliver insights at a speed and scale that traditional physics-based forecasting cannot match.
Learn more about WeatherMesh or see our live benchmarks comparing WeatherMesh to ECMWF.
Available WeatherMesh Models
| Variant | Code | What it’s for |
|---|---|---|
| WeatherMesh-5 Continuous Ensemble | wm-5c | Latest continuous model with near‑real‑time updates. Read more about the latest model here. |
| WeatherMesh-4.5 Ensemble | wm-4.5-ens | Ensemble with different parameters for specialized use cases. |
| WeatherMesh-4 Deterministic | wm-4 | Primary high‑resolution deterministic run and available as non interpolated point forecast. Learn more in our Technical blog |
| WeatherMesh-4 Ensemble | wm-4-ens | Multi‑member ensemble for probabilistic guidance. |
You can find a list of additional models here.
Continuous forecasting
Traditionally, global weather models are produced on fixed cycles four times per day, commonly 00Z, 06Z, 12Z, and 18Z (UTC). For much of the day, that means the most recently available guidance can already be hours old. While some regional systems (e.g., hourly rapid‑refresh models) update more frequently, they typically have limited domains and shorter forecast horizons.
With WeatherMesh‑5c, WindBorne introduces Continuous Forecasting, the first continuously updated global weather model. WM‑5c runs every 20 minutes, assimilates the latest observations, including a real‑time stream from WindBorne’s Global Sounding Balloons (GSBs) and delivers forecasts that are both fresher and more accurate. Instead of waiting for the next fixed cycle, WM‑5c narrows the gap between observed conditions and the published forecast to roughly 20 minutes.
The interactive table below illustrates how fresh each model’s forecast output is. Select the current time to see the latest run, delivery time, and the recency of assimilated observations.
Read more about continuous forecasting in the WeatherMesh-5c release notes.