AI‑Powered Hydrologic Intelligence

Flood & Drought Modeling—
from Raw Data to Decisions in Hours

HydroSky delivers end‑to‑end flood and drought modeling: ingest MRMS/HRRR/GFS/GraphCast, infer parameters for CREST/EF5, run fast simulations and scenario analyses, and publish clear early‑warning dashboards and reports. We turn complex basin hydrology into explainable, deployable decisions.

class="badges"> CREST • EF5 • CaMaFlood GraphCast • HRRR • MRMS PyTorch • TensorFlow CI/CD • GitHub Pages

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Basins Modeled (HUC8)

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Event Match for Top‑3 Peaks

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Lead Time for Early Warning

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Faster Scenario Exploration

Get a Quote See How It Works

Solutions

From real‑time warnings to long‑term planning, HydroSky adapts to your data and decisions.

Flood Early‑Warning

High‑resolution rainfall ingestion (MRMS/HRRR), hydrologic routing with CREST/EF5, probabilistic peaks, and push alerts with explainable drivers.

Drought Intelligence

Soil‑moisture deficits, runoff efficiency, and snowmelt diagnostics for seasonal allocation, resilience, and supply risk planning.

Scenario Lab

What‑if storm tracks, displacement correction, reservoir rules, and land‑use change—compare impacts in minutes, not weeks.

Custom Dashboards

Map tiles, time‑series, exceedance curves, and API endpoints for enterprise integration.

Technology

Hybrid physics‑ML stack: physical consistency meets data‑driven speed.

Data Pipeline

HRRR/MRMS/GraphCast/GFS ingestion, bias & displacement correction, and automated basin tiling.

Model Core

CREST/EF5 routing with calibrated parameters; AI‑assisted guidance for robust generalization.

Explainability

Attribution of peaks to upstream basins, snowmelt vs. rainfall shares, and sensitivity to storm shifts.

Delivery

Zero‑ops static frontends (GitHub Pages) plus optional cloud backends for on‑demand heavy runs.

Case Studies

Illustrative results. Replace with your own projects and images when ready.

Texas Hill Country Flood

Displacement‑corrected rainfall improved peak timing by 6–8 hours and RMSE by 23% across 4 gauges.

Altiplano Drought Assessment

Combined snowmelt diagnostics and runoff thresholds to quantify reservoir drawdown risks under El Niño.

Mississippi Basin Extremes

HUC8 contribution tree reveals upstream drivers of compound events and flash‑to‑flood transition windows.

How We Work

Clear steps, measurable outcomes.

Discovery

Use cases, basins, data access, KPIs. We align on scope and timeline.

Prototype

Spin up a pilot basin with baseline datasets and dashboards.

Calibration

Hybrid guidance + targeted runs for robust generalization—not just a single “best fit”.

Deploy

Web delivery, training, and integration. Optional SLA for ops and updates.

Contact

Tell us about your basins and decisions. We’ll tailor a demo to your data.

Request a Demo

GitHub Pages is static—use the email link below or connect a form service later.

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Hydros Lab, University of Oklahoma
Norman, OK · USA<\/p>

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