Delta Hydro

6 tools · Topic

Streamflow & Flood Forecasting Tools

Operational forecasting has escaped the agency basement: open frameworks now cover data assimilation, ensemble hydrology and ML-based prediction. This page collects forecasting frameworks, national-model interfaces and the ML packages pushing the field.

Caravan

Open Source

The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.

Data, Monitoring & ForecastingActiveStreamflow DataRainfall Data

Deltares' operational forecasting platform — the shell running national flood-forecast centres worldwide.

Data, Monitoring & ForecastingActiveStreamflow ForecastingFlood Mapping

NeuralHydrology

Open Source

Deep-learning rainfall-runoff modelling — the LSTM framework behind much of ML hydrology research.

Hydrology & Catchment AnalysisActiveStreamflow ForecastingPython Hydrology

OpenFloodHub

Open Source

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

Data, Monitoring & ForecastingActiveStreamflow ForecastingPython Hydrology

Raven

Open Source

A flexible hydrological modelling framework — emulate GR4J, HBV, HMETS or build your own model structure.

Hydrology & Catchment AnalysisActiveStreamflow ForecastingPython Hydrology

Wflow.jl

Open Source

Deltares' distributed hydrological model in Julia — gridded rainfall-runoff with kinematic-wave routing.

Hydrology & Catchment AnalysisActiveStreamflow ForecastingSnow Hydrology