High-resolution weather forecasting and simulation, anywhere on Earth.
Today's organizations run numerical models in-house, often at high cost and with limited focus–Weatherwise exists to take over that burden. We specialise in the operation of physics-informed AI models at high resolution to deliver precision and accuracy where other models fall short.
Introducing Weatherwise
Weatherwise is the next era of high-resolution modeling.
World's first GPU infrastructure to meet the demands for speed, precision and accuracy in energy and data operations.
Building the future of high-resolution weather and wildfire modeling.
Forecast weather at high resolution with GPU-accelerated models configured to explicitly resolve turbulence, convection, and clouds.
Simulate wildfire spread across wind, terrain, and fuel to support risk management and response.
Downscale global and regional datasets like ERA5, CERRA5 or GFS to 1-km and 250-m for precise, high-resolution climate time series.
Real-time access to global observations, forecasts and climate projections.

1# pip install weatherwise
2from weatherwise import Client
3c = Client(api_key="YOUR_API_KEY")
4res = c.forecast.short_term(
5 lat=48.8566,
6 lon=2.3522,
7 variables=["temperature", "precipitation", "wind"],
8 end="2025-09-23T12:00Z",
9 models=["ecmwf-ifs-hres", "gfs"]
10)
11print(res)Built for complex regions where data is too coarse, or missing.

Reduce imbalance costs and improve dispatch with 15-minute, 1-km forecasts.

Optimize sports and entertainment events with high-resolution forecasts.

Reroute around micro-weather, keep fleets on time, and protect loads.

Schedule offshore/onshore operations with confidence; minimize weather downtime.

Safer shifts and fewer delays with site-level forecasts down to 1-km and 250-m.

Inform emergency planning, resilience, and climate risk reporting.







