Caravan
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
The USGS R package for pulling NWIS and Water Quality Portal data — gauge records as tidy data frames.
by US Geological Survey
Install
install.packages("dataRetrieval")dataRetrieval is how R users get US hydrological data properly: discharge, stage, groundwater levels and water-quality samples from USGS services and the multi-agency Water Quality Portal, returned as documented, tidy data frames with metadata attached. It is maintained by the USGS itself and tracks the agency's evolving web services so your scripts don't have to.
Every reproducible US hydrology workflow in R starts here — frequency analysis, trend studies (it feeds EGRET directly), model calibration. If you have ever hand-downloaded a gauge record from a portal, this package refunds those hours.
Other data, monitoring & forecasting tools covering similar workflow stages.
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.
An open-source take on Google Flood Hub — per-gauge neural network streamflow forecasting you can self-host.
Dewberry's open tool for building STAC catalogs of storms and gauge data — inputs for stochastic storm transposition.