ARR Data Hub
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
Dewberry's open tool for building STAC catalogs of storms and gauge data — inputs for stochastic storm transposition.
by Dewberry
Install
pip install stormhubStormHub, from Dewberry, automates the data-wrangling behind probabilistic flood modelling: it harvests hydrometeorological archives (gridded precipitation, USGS gauge records), identifies and characterises storm events, and publishes the results as STAC catalogs — the FAIR-compliant metadata standard — ready to feed stochastic storm transposition workflows and HEC-HMS simulations.
It sits in the same modern-flood-risk toolchain as FEMA's Future of Flood Risk Data work (alongside rashdf): open, scriptable, catalog-first infrastructure for running hydrology as ensembles rather than single design events. Young but actively developed and pip-installable.
Other data, monitoring & forecasting tools covering similar workflow stages.
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
Deltares' operational forecasting platform — the shell running national flood-forecast centres worldwide.
A Python software stack for US hydrology data: NHD+ networks, gauges, DEMs, soils and climate via one API family.
CUAHSI's platform for sharing hydrological data and models — DOIs, collaboration and linked compute.
The US precipitation-frequency standard — point rainfall depths for any duration and return period, free.