Extreme Weather Events
Predicting supercells and cyclone trajectories using GPU-accelerated ensemble solvers.
Minimizing Lead-Time, Maximizing Safety
Extreme weather events require more than just raw power—they demand computational agility. Resolving the high-energy convective cores of supercells or the complex interaction of cyclone eyewalls requires GPU-optimized ensemble modeling. Malgukke provides the infrastructure to process multi-model ensembles in real-time to eliminate atmospheric uncertainty.
Cyclone Trajectory Prediction
Utilizing massive ensemble modeling to resolve uncertainty in tropical storm paths and intensity. Our clusters allow for the simultaneous execution of hundreds of model perturbations, providing a probabilistic map of potential impact zones.
- Probabilistic landfall modeling
- Eye-wall transition dynamics
Supercell Dynamics
High-fidelity simulation of meso-scale convective systems to provide critical lead-time for local early-warning alerts. We resolve the rotational dynamics and vertical updrafts of supercells with sub-kilometer precision.
- Vertical vorticity resolution
- Real-time hail and precipitation tracking
Crisis-Response Simulation Pipeline
| Event Focus | HPC / AI Action | Operational Outcome |
|---|---|---|
| Tropical Storms | GPU-native ensemble solvers (500+ members). | 30% improvement in track accuracy |
| Tornadic Cells | Micro-scale LES on localized grids. | Extended early-warning lead times |
| Flash Flooding | Coupling of NWP and topographic hydrological models. | Precision urban inundation maps |