FloodDash fuses NOAA radar rainfall, rain and stream gauges, and AI nowcasting into one live picture of your watershed — then warns the right people the moment a threshold is crossed, while there's still time to respond.
Real-time monitoring · threshold alerting · SMS / email / voice · lead-time forecasts
During an event, the worst place to be is spread across a dozen browser tabs. FloodDash brings rainfall, river stage, forecasts, and your own thresholds into a single situational picture — and turns crossing a threshold into an alert that actually reaches people.
Live rainfall, accumulation, and stream-stage for every basin and asset you care about, refreshed continuously.
Set rainfall, accumulation, rate-of-rise, and stage thresholds per location — get notified the instant one is crossed.
SMS, email, and voice to the right on-call people, with escalation if an alert isn't acknowledged.
0–6 hour nowcasts extend warning time, so crews mobilize and roads close before water arrives.
See where rain is falling and intensifying across your service area, weighted to your catchments — not generic tiles.
Every alert, acknowledgment, and reading is timestamped for after-action review and the record.
FloodDash continuously fuses radar and gauges into accurate rainfall, compares it (and the forecast) against your thresholds, and routes alerts with enough lead time to matter.
NEXRAD radar, MRMS, rain gauges, and stream gauges stream in and are quality-controlled in real time.
Radar is gauge-corrected into accurate rainfall; AI nowcasting and NWS HRRR project the next hours.
Live and forecast values are checked against your per-basin thresholds and rate-of-rise rules.
The right people are notified across channels with escalation — and the whole event is logged.
Configurable tiers map directly to how your team already operates — each with its own thresholds, recipients, and channels. Labels and values are illustrative.
Conditions favorable for flooding developing. Heads-up to on-call staff; monitor the dashboard closely.
Thresholds crossed or imminent. Notify crews and stakeholders; begin pre-positioning and protective actions.
Severe, rapid rise. Full escalation with voice + SMS and mandatory acknowledgment; activate response plans.
In a flash flood, lead time is everything. Machine learning extends how far ahead you can see and cuts the false alarms that erode trust in an alerting system.
Deep-learning rainfall projection extends warning windows beyond what radar extrapolation alone provides.
Rainfall-to-response models anticipate fast-responding, flashy basins before stage data confirms it.
Learned context separates a passing cell from a genuine threat, so alerts stay credible.
Clogged gauges, stuck sensors, and radar artifacts are flagged before they trigger a bad alert.
Protect treatment plants, lift stations, and crews; trigger wet-weather and overflow response with lead time.
Public-safety awareness, low-water-crossing and road-closure triggers, and a clear common operating picture.
Early, basin-specific warning to position resources, notify the public, and coordinate response.
Basin monitoring, reservoir and channel awareness, and threshold alerts tied to operations.
Rainfall and rate alerts for flood-prone corridors, underpasses, and crossings.
Site-specific monitoring and alerting for facilities, reservoirs, and critical infrastructure.
Tell us your basins and who needs to be warned — we'll show FloodDash running on a recent storm in your area.
hello@flooddash.com