Train your AI weather models with physics-based data.
Weatherwise specializes in high-resolution regional weather simulations, down to 400-meter resolution. Our team of meteorologists and engineers creates weather data products designed to enhance the training of your AI models with realistic weather scenarios.
The leading physics-based data product for training AI weather models.
global scale
GFS
synoptic scale
Meso-NH
fine scale
Weatherwise
A focus on performance andexperience.
Peer-reviewed model
Meso-NH [1] is the research model we use to simulate meteorological events. It has been cited in over 1,000 publications, supporting its importance in the meteorological community.
Its physics module is integrated into the French operational weather model, demonstrating effective performance in operational conditions.
High-performance
A 24-hour simulation at 400-meter resolution over a 120 km x 120 km domain takes approximately 3 hours to complete.
Our automated processing chain enables the execution of multiple simulations in parallel, allowing for the generation of a full year’s worth of data in under a week.
On-demand
Our user-friendly interface simplifies the simulation setup process, making it easier for practitioners to navigate. It allows for clear domain selection, horizontal spatial resolution, and time period selection.
Additionally, the ability to specify 2D and 3D output enhances the effectiveness of training for your AI models.