GridRain turns NOAA NEXRAD radar, rain-gauge networks, and AI nowcasting into a single high-resolution rainfall grid — past, present, and the next six hours — delivered model-ready to the teams who manage water.
1 km² grid · sub-hourly updates · 0–6 h nowcast · API & model-ready exports
Most teams stitch rainfall together from sparse gauges and raw radar. GridRain delivers a single, quality-controlled, gauge-corrected grid — historical archive, real-time stream, and short-range forecast — in the formats your hydrologic and hydraulic models already expect.
Gauge-corrected radar rainfall on a 1 km² grid at sub-hourly time steps — the spatial detail gauges alone can never capture.
AI-driven extrapolation and convection-aware forecasting blend radar motion with NWS HRRR to project the next several hours.
Years of quality-controlled grids for design storms, recurrence-interval analysis, calibration, and forensic event reconstruction.
Basin- and catchment-averaged exports for SWMM, ICM, HEC-HMS and more — plus a REST API and live data feeds.
Rainfall weighted to your basins, sewersheds, and assets — not generic map tiles — with recurrence and threshold context.
Continuous ingestion and QC so the grid is ready the moment a storm arrives, with gap-filling when a gauge or radar drops out.
NOAA's NEXRAD network maps the spatial structure of a storm at fine resolution but estimates amounts indirectly through reflectivity. Rain gauges measure rainfall accurately at a point — but tell you nothing about what fell between them, and fail when clogged or off-level. GridRain corrects radar against gauges, removes anomalies, and produces a grid more accurate than either source alone.
NEXRAD Level II dual-polarization data converted to rain rate with adaptive Z–R relationships, with clutter, hail, and brightband mitigation.
Real-time and post-event gauge adjustment removes systematic radar bias and anchors the grid to ground truth.
Automated and meteorologist-reviewed quality control, with documented accuracy suitable for regulatory and design use.
Machine learning sharpens the parts of the problem that are genuinely hard: extrapolating storm motion and growth, blending radar with NWS models, and flagging anomalies a fixed algorithm would miss. The physics-based, gauge-anchored core keeps every result defensible.
Spatiotemporal models project rainfall fields several hours ahead, capturing growth and decay, not just translation.
Radar, gauges, MRMS and HRRR fused with learned weights tuned to your region's storm regimes.
Automatic flagging of clogged gauges, radar artifacts, and non-meteorological echoes before they reach your model.
Live comparison of accumulations against IDF curves and your operational thresholds, with uncertainty.
GridRain resolves rainfall to a 1 km grid across your whole service area, so you can see where the storm concentrated, which sub-basins crossed an action depth, and which assets sit under the heaviest accumulation. Color shows cumulative depth; pulsing cells are in active high-intensity rainfall and flood alert. Service area and storm are illustrative.
A single distant gauge might have caught a fraction of what fell over the storm core — the grid shows the whole field. Illustrative.
Catchments that cross their action depth are flagged the moment the threshold is passed — no waiting for a downstream gauge to confirm.
Lift stations and the treatment plant sitting inside the heaviest accumulation surface first, so crews go where the water is.
Wet-weather and CSO/SSO modeling, collection-system capacity, real-time control, and regulatory rainfall reporting.
Stormwater planning, drainage design, flood awareness, and defensible rainfall records for the public and for claims.
Basin rainfall input for early warning, reservoir inflow forecasting, and gate/operations decisions.
Calibrated rainfall for H&H modeling, master plans, and design-storm and recurrence-interval analysis.
Real-time rainfall and nowcasts to position crews, close roads, and act before water rises.
Watershed rainfall for inflow forecasting, spillway decisions, and post-event documentation.
Tell us your region and the models you run — we'll set up a demo grid for a recent storm over your basins.
hello@gridrain.com