EGRET
USGS R package for long-term water-quality and streamflow trends — home of the WRTDS method.
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.
Ranked by the topics, categories and workflow stages they share with hydroTSM.
USGS R package for long-term water-quality and streamflow trends — home of the WRTDS method.
The USGS R package for pulling NWIS and Water Quality Portal data — gauge records as tidy data frames.
Canadian government R package for streamflow analysis — trends, frequencies and summaries from HYDAT.
R client for the UK National River Flow Archive — catalogue, gauged daily flows and catchment metadata.
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
A Python software stack for US hydrology data: NHD+ networks, gauges, DEMs, soils and climate via one API family.