Indra MRWF
A customized numerical weather prediction model optimized for regional and seasonal climate regimes.
Two model families, one system. Indra Weather predicts what the atmosphere will do. Indra Climate quantifies the risks that come from it. Together they power every forecast, risk score, and parametric product we deliver.
Data flows in from global sensor networks and national systems. Indra turns it into prediction and risk. FIR-structured outputs reach your systems however you need them.
Weather stations · satellite · radar · upper air · lightning · public model ensembles
Indra Weather is a three-tier system: physics-based numerical weather prediction, machine-learned accuracy correction, and AI nowcasting, unified by a self-adaptive learning loop that improves continuously against ground truth.
A customized numerical weather prediction model optimized for regional and seasonal climate regimes.
Our Accuracy Enhancement Model. A machine-learned layer that systematically corrects biases in raw forecast output.
A short-range prediction model for the next zero-to-six hours. Fuses radar, satellite, and station inputs into a unified prediction field.
Beyond weather prediction, Indra Climate quantifies the risks that matter to climate-exposed operations, feeding the Insight and Resilience layers of FIR.
Extreme heat risk.
Extreme rainfall.
Riverine flood.
Wildfire risk.
Tropical cyclone.
Slope failure.
Seismic hazard.
Agricultural drought.
Indra's outputs are domain-aware: calibrated to the decision frameworks of each industry rather than delivered as generic weather data.
Technical deep-dives with data science teams. Architecture walkthroughs, validation data, and deployment options, shared under NDA with serious evaluators.