Caravan
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
R workhorse for hydrological time series — aggregation, summaries and hydrologically-aware plots in a few calls.
Install
install.packages("hydroTSM")hydroTSM (by Mauricio Zambrano-Bigiarini) handles the daily manipulations of hydrological time series in R: aggregate sub-daily to daily/monthly/annual by hydrologic year, compute seasonal summaries, fill and inspect gaps, and produce the standard exploratory graphics — hydrographs, matrix plots of monthly behaviour, flow-duration curves — with almost no ceremony.
Paired with its sibling hydroGOF (goodness-of-fit metrics for model evaluation), it forms the humble backbone of a great many R hydrology workflows.
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.