Streamflow in the United States: characteristics, trends, regime shifts, and extremes
70 years of streamflow records (1951-2021) at ~8,000 US stations with 181 indicators characterizing trends, regime shifts, and extremes using Bayesian analysis.
doi.org
At a glance
- Region
- North America
- Coverage
- North America
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Streamflow
- Climate Projections
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
Risk screening
Screen projects and assets for climate risk.
Because it has: Climate Projections
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
Bias correction
Correct and downscale climate model output for a site.
Machine access and documentation
Data paper
Streamflow in the United States: characteristics, trends, regime shifts, and extremes
Scientific Data 2024
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- CAMELS (US): Catchment Attributes and Meteorology for Large-sample StudiesNorth America | Free
- CAMELS-H: A large-sample hourly hydrometeorological dataset for CONUS watershedsNorth America | Free
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