GLORICH contains over 1.27 million hydrochemical samples from more than 18,000 locations worldwide. It combines water chemistry data with catchment characteristics like lithology, climate, and land cover. The database was created by Jens Hartmann and described in a 2014 overview article.
Use Cases
- Calculate mass budgets for major compounds and nutrients based on the hydrochemical data.
- Calibrate environmental models using the linked catchment characteristics like lithology and climate.
- Test hypotheses about river chemistry drivers based on features such as population density and net primary production.
- Analyze spatial patterns of carbon species and physical properties across sampling locations.
Strengths
- Over 1.27 million individual samples provide substantial data volume.
- Data from more than 18,000 distinct sampling locations offers broad spatial coverage.
- Includes calculated metrics like partial pressure of CO2 (pCO2) from previous publications.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Jens Hartmann
- Collection Method
- Assembled from varying hydrochemical data sources and linked with catchment characteristics.
- Time Range
- null
- Freshness
- Last updated is unknown.
- Geography
- Global river sampling locations.