A global streamflow indices time series dataset for large-sample hydrological analyses (until 2022)
79 streamflow indices covering seven major flow regime components, calculated from quality-controlled daily streamflow records spanning 1806-2022 with average 36-year length.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Streamflow
- Cryosphere
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
Melt runoff
Forecast snowmelt contributions to rivers.
Because it has: Cryosphere
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
Cloud-free snow maps
Fill snow cover hidden by cloud with ML.
Machine access and documentation
Data paper
A global streamflow indices time series dataset for large-sample hydrological analyses (until 2022)
Earth System Science Data 2023
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