BULL Database: Spanish Basin Attributes for Large-Sample Hydrology
Spanish large-sample hydrology database: daily hydrometeorological time series (1951-2021) and attributes (geology, soil, topography, land cover, anthropogenic influence, hydroclimatology) for 484 basins, with a distinctive focus on hydrological alteration. Documented in the UCAM (Universidad Catolica San Antonio de Murcia) institutional repository.
repositorio.ucam.edu
At a glance
- Region
- Spain (Europe)
- Coverage
- 484 basins, 1951-2021
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- streamflow
- meteorological forcing
- catchment attributes
- human alteration
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.
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