High resolution weather intelligence for climate critical operations
Terraflux runs custom high-resolution weather models at 100 m to 1 km, creating precise, physics-based data that capture real local patterns of heat, wind, and moisture. Our simulations reveal what coarse global models miss, powering better decisions for energy systems, transportation networks, insurance planning, and climate resilience.
Unlike legacy forecasts that smooth over the physics driving real-world risk, TerraFlux captures how land, vegetation, and weather interact at the local scale. We translate these complex processes into high-fidelity, AI-ready data layers that teams can analyze, train on, and deploy immediately, no specialized weather infrastructure required.
why we exist
- Coarse data miss the extremes. Global models at 25–50 km resolution blur the local patterns that drive impact, softening critical details like urban heat, terrain effects, snowmelt, and land–atmosphere interactions.
- AI inherits the blur. When trained on low-detail inputs, even the best AI systems miss the physics that matter on the ground.
- High-resolution workflows are broken. Running detailed land and weather models takes expertise and time, and they rarely plug into modern AI or Earth data pipelines.
how we respond
- AI-ready datasets. Physics-based outputs at 1 km–100 m in Zarr, NetCDF, and Parquet for model training and inference.
- AI training and inference. GPU-optimized pipelines for training, validation, and hosted deployment on TerraFlux data.
- Data fusion. Satellite and ground data integrated into continuous, high-resolution feedback loops.
- Applied insights. Targeted products for urban heat, agriculture, wildfire, and hydrology that prove real-world value.
- Hybrid physics and ML. Machine learning embedded within our weather models to boost accuracy and speed.
We maintain a limited pilot roster while in stealth. Reach out to discuss dataset licensing, assimilation integration, or hybrid AI modeling collaborations.
contact
Need high-resolution weather data for your models? Let’s connect. [email protected].