Public data for constructing, calibrating, and running a SWAT+ hydrological model for a watershed. Input data includes freely available climate data from AEMET and geographic coverages for elevation, land use from SIOSE, and soil types from DSOLMap. Calibration data uses river flow gauges from the CEDEX Yearbook and sampled parameter values, while output data consists of hydrological variables estimated by the SWAT+ model. The dataset was authored by José Manuel Rodríguez-Castellanos and harvested by e-cienciaDatos.
Use Cases
- Constructing a SWAT+ hydrological model based on provided digital elevation, land use, and soil type data.
- Calibrating a watershed model using river flow gauge data and sampled parameter values.
- Analyzing model outputs for various hydrological variables like streamflow or evapotranspiration.
- Integrating physical models with AI techniques for hydrological forecasting, as suggested by the project title.
Strengths
- Integrates multiple authoritative public data sources: AEMET for climate, SIOSE for land use, CEDEX for river gauges.
- Provides a complete workflow package including model inputs, calibration data, and simulation outputs.
- Based on the SWAT+ model, a widely recognized physical hydrological modeling framework.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Data harvested from Dataverse by e-cienciaDatos, with original data compiled for the TwinTagus project.
- Collection Method
- Data compilation from public sources (AEMET, SIOSE, CEDEX, DSOLMap) for hydrological modeling.
- Time Range
- null
- Freshness
- Last updated 2026-05-17 04:10:16; freshness should be verified.
- Geography
- Likely covers the Tagus River basin, as inferred from the project name 'TwinTagus'.