Global weather models often miss localized phenomena in complex archipelagic terrains. SIBAKOM engineers custom Numerical Weather Prediction (NWP) clusters that downscale global data into hyper-localized, highly accurate forecasts.
WRF Downscaling
We deploy optimized versions of the Weather Research and Forecasting (WRF) model on localized High-Performance Computing (HPC) nodes. This allows us to resolve atmospheric dynamics at a 1km to 3km grid spacing.
- Captures sea-breeze convergence zones.
- Accurately models orographic lift over volcanic terrain.
- Generates highly specific aviation terminal forecasts.
Advanced Data Assimilation
A model is only as good as its initial state. We utilize 3DVAR and 4DVAR assimilation techniques to inject real-time observation data—from our radars, buoys, and AWS networks—directly into the model.
- Radar radial velocity assimilation for wind fields.
- Satellite radiance ingest for cloud initialization.
- Significant reduction in "spin-up" errors.
NWP Output Gallery
3D rendering of modeled storm cells.
Tabular meteogram outputs for decision makers.
Coupled WRF and WaveWatch III model output.