Remote‑sensing–native distributed hydrology

CREST-AI

Interactive demo
Coming soon

A live, in‑browser CREST simulation is on the way — run the model, explore floods and droughts, and see results in real time.

Want early access? Get in touch
CREST • EF5 Flood & drought Satellite‑driven Open & operational

The CREST model family — two decades of development

An interactive history: model structure, milestones, global reach, and the model family tree. Auto‑plays — use the arrows to navigate.

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

Two decades of CREST development — a remote‑sensing–native distributed hydrology stack, now with an AI agent.

💧

Distributed CREST core

Coupled runoff generation — a variable infiltration curve over three soil layers — with cell‑to‑cell flow routing on a grid. Two forcings (precipitation, PET), 17 parameters, 9 outputs; runs at global, regional, or basin scale.

🌊

Hazards & operations

EF5 / FLASH ensemble flash‑flood forecasting, operational at NOAA/NSSL; iCRESLIDE cascading flood–landslide prediction; and CREST‑iMAP, a fully coupled 2‑D hydrologic–hydraulic model for flood inundation mapping (e.g. Hurricane Harvey).

🌐

Scales & coupling

CREST‑VEC vector routing with a lake module for continental‑to‑global runs; a groundwater module (v3.0, CONUS‑wide calibration); and WRF atmosphere coupling toward seamless sensor‑to‑streamflow prediction.

🤖

CREST‑AI · AQUAH

An LLM agent that operates and auto‑calibrates CREST from plain‑language prompts — automating model setup, calibration, and analysis across versions (AQUAH; Yan et al., 2025).

Case Studies

CREST in action on recent high‑impact flood events.

2025 Texas flash flood — CREST hydrograph and high-water-mark map

2025 Texas Flash Flood

CREST reproduced the observed USGS discharge hydrograph for the July 2025 Texas flash flood and mapped peak water depths against 101 high‑water marks across the basin.

2017 Hurricane Harvey flooding (Google Earth)

2017 Hurricane Harvey

CREST‑iMAP mapped the catastrophic flood inundation across the Houston area during Hurricane Harvey — shown here against Google Earth imagery of the inundated corridor.

News

Highlights from the HyDROS Lab. See all news ↗

Contact

Questions about CREST, collaborations, training, or early access to the demo? Get in touch.

Contact

This site is static — use the email link below or connect a form service later.

Office

Hydros Lab, National Weather Center
Norman, OK · USA

GitHub · LinkedIn