Delta Hydro

OpenFloodHub

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An open-source take on Google Flood Hub — per-gauge neural network streamflow forecasting you can self-host.

Pricing
Open Source
License
Apache-2.0
Commercial use
Permitted
Ecosystem
Python, PyTorch
Platform
Windows, macOS, Linux

About OpenFloodHub

OpenFloodHub, by Abhiram Mullapudi (of pystorms/open-storm lineage), is an open-source experiment in gauge-level flood forecasting: instead of one global model, it trains a compact 1D-CNN per river gauge on historical discharge, precipitation, temperature and soil moisture, and serves 12-hour-ahead streamflow predictions through a web interface — with a working deployment for Washington, DC gauges and pretrained checkpoints included.

It is a research prototype, and its own README warns against operational reliance. Its value is as scaffolding: a complete, inspectable, self-hostable forecasting stack (data fetching, training, serving) that a utility or research group can fork and point at their own gauges.

Where it fits in the workflow

TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting

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