Global streamflow indices time series dataset for large-sample hydrology
A global dataset of streamflow indices/signatures derived from quality-controlled daily discharge records (streamflow regime metrics) for large-sample hydrological analyses, spanning long historical periods. Hosted on Science Data Bank (ScienceDB) as a downloadable research dataset.
scidb.cn
At a glance
- Region
- Global
- Coverage
- Thousands of global gauges
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- streamflow
- hydrologic signatures
- time series
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: streamflow
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
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- High-Resolution Global Streamflow (1980-2020)Global | Free
- GloFAS v4.4 Global Flood AwarenessGlobal | Free
- World Bank Water Data PortalGlobal | Free
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