CAMELS-FI: Hydrometeorological Time Series and Landscape Properties for 320 Finnish Catchments
Finnish large-sample dataset combining up to 63 years (1961-2023) of daily discharge for 320 rivers (covering 73% of Finland) with daily catchment-averaged meteorology (14 variables) and 79 static attributes (gauge metadata, biogeophysical and societal). Hosted on the Finnish national Etsin/Fairdata research data finder.
etsin.fairdata.fi
At a glance
- Region
- Finland (Europe)
- Coverage
- 320 catchments, 1961-2023
- Access
- Free
- Category
- Research Institute
- Last updated
- 2025
What's inside
- streamflow
- meteorological forcing
- catchment attributes
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
Model calibration
Calibrate and test catchment models against observed flow.
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
Automatic QC
Flag gauge errors, shifts and gaps before they reach a report.
Machine access and documentation
Open API
Fairdata Metax/Etsin REST API at metax.fairdata.fi for metadata and download links
Licence: Open data
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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