CAMELS-DK: 3330 Danish catchments (incl. groundwater)
CAMELS-DK: dynamic and static variables for 3,330 catchments covering all of Denmark, with observed streamflow for 304 gauged catchments and simulated streamflow for all, plus detailed groundwater dynamics, abstraction/irrigation human-impact quantities, and landscape attributes (climate, topography, hydrologic signatures, land use, soil, hydrogeology). First CAMELS with both gauged and ungauged basins.
dataverse.geus.dk
At a glance
- Region
- Denmark (Europe)
- Coverage
- 3,330 catchments (Denmark)
- Access
- Free
- Category
- Government
- Last updated
- 2025
What's inside
- streamflow
- groundwater
- meteorological forcing
- catchment attributes
- 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
Trend hotspots
Find where water tables are falling year after year.
Because it has: groundwater
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
Gap filling
Rebuild missing well readings from neighbours, rainfall and season.
Related water data
- CAMELS-GB v2: sub-daily and groundwater extension (671 catchments)Europe | Free
- CAMELS-CH: 331 catchments in hydrologic Switzerland (DORA record)Europe | Free
- CAMELS-DE: 1582 catchments in GermanyEurope | Free
- CAMELS-DK: Danish Catchments with Groundwater Information (GEUS Dataverse)Europe | Free
- CAMELS-DK: Hydrometeorological Time Series for 3330 Danish Catchments (GEUS)Europe | Free
- CAMELS-FR: Large-sample hydroclimatic dataset for FranceEurope | Free
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