ASCAT Soil Moisture (H SAF)
Gov-Public
Near-real-time scatterometer soil moisture from EUMETSAT — hours of latency, useful for operational monitoring.
SNODAS
ActiveNOAA's modelled snow depth and SWE for the CONUS — 1km daily grids from satellite, airborne and station data.
by NOAA NOHRSC / NSIDC
- Pricing
- Gov-Public
- License
- US Government (public domain)
- Commercial use
- Permitted
- Ecosystem
- Python, GDAL
- Platform
- Windows, macOS, Linux
About SNODAS
SNODAS (Snow Data Assimilation System), run operationally by NOAA's National Operational Hydrologic Remote Sensing Center, blends satellite, airborne and ground-station snow observations into a physically-based energy/mass-balance model to produce daily 1km snow depth and snow-water-equivalent grids across the contiguous United States, distributed through NSIDC.
Where MODIS snow cover only sees extent, SNODAS delivers the depth and SWE numbers snowmelt runoff forecasting and water-supply models actually consume — the standard input for US mountain-snowpack hydrology.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
Alternatives to SNODAS
Ranked by the topics, categories and workflow stages they share with SNODAS.
Caravan
Open Source
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
Delft-FEWS
Free
Deltares' operational forecasting platform — the shell running national flood-forecast centres worldwide.
MODIS Snow Cover
Gov-Public
500m daily/8-day global snow-cover extent from MODIS — the standard optical snow product for basin-scale tracking.
NeuralHydrology
Open Source
Deep-learning rainfall-runoff modelling — the LSTM framework behind much of ML hydrology research.
OpenFloodHub
Open Source
An open-source take on Google Flood Hub — per-gauge neural network streamflow forecasting you can self-host.