ARR Data Hub
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
31 tools · Category
Good models need good data, and the tooling for finding, downloading and cleaning hydrological data has improved dramatically. This category collects data-access clients for national archives (USGS NWIS, NOAA, ERA5 and friends), time-series utilities built for hydrology, telemetry and monitoring stacks, and operational forecasting frameworks. If you have ever hand-downloaded gauge data from a web portal, the packages here will give you those hours back.
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
Near-real-time scatterometer soil moisture from EUMETSAT — hours of latency, useful for operational monitoring.
Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
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.
ECMWF's hourly global reanalysis — the default gap-free climate forcing record for ungauged catchments worldwide.
The longest satellite soil moisture record available — merged active+passive retrievals back to 1978, free, no login.
NASA's 30-minute, 0.1° global precipitation record — the highest time resolution of any satellite rainfall product.
Monthly total water storage change from satellite gravity — the only direct signal of large-scale groundwater depletion.
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.
NASA's satellite-era atmospheric reanalysis — hourly global fields from 1980, the default alternative to ERA5.
Global actual ET from MODIS, 500m, 8-day/monthly/annual — a Penman-Monteith water-balance term, ready-made.
1km daily/8-day land surface temperature from MODIS — the standard thermal input for energy-balance ET and snowmelt.
500m daily/8-day global snow-cover extent from MODIS — the standard optical snow product for basin-scale tracking.
Precipitation that optimally blends gauges, satellites and reanalysis at every grid cell — 3-hourly, 0.1°, global.
The US precipitation-frequency standard — point rainfall depths for any duration and return period, free.
NCEP's coupled atmosphere-ocean-land reanalysis, sub-daily, 1979–present — strong where ocean coupling matters.
Free viewer and exporter for NEXRAD radar, satellite and climate data — out to GeoTIFF, Shapefile and NetCDF.
An open-source take on Google Flood Hub — per-gauge neural network streamflow forecasting you can self-host.
A neural-network satellite rainfall climate data record, daily, 0.25°, purpose-built for long-term trend studies.
NASA's L-band radiometer soil moisture mission — 9km/36km near-surface moisture, daily, since 2015.
NOAA's modelled snow depth and SWE for the CONUS — 1km daily grids from satellite, airborne and station data.
USGS operational ET at Landsat resolution — 30m actual evapotranspiration for water-rights and irrigation accounting.
Dewberry's open tool for building STAC catalogs of storms and gauge data — inputs for stochastic storm transposition.
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 workhorse for hydrological time series — aggregation, summaries and hydrologically-aware plots in a few calls.
A friendly Python client for USGS NWIS streamflow data — request, cache and plot gauge records in a notebook.
R client for the UK National River Flow Archive — catalogue, gauged daily flows and catchment metadata.
The open library for weather-radar rainfall processing — from raw volumes to engineering-ready rainfall fields.