GRILSS: Opening the gateway to global reservoir sedimentation data
First open-source global reservoir sedimentation dataset covering 1,000+ reservoirs with sedimentation amounts, lost capacity over time, and associated metadata.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Lakes & Reservoirs
- Water Infrastructure
- River Data
What you can do with it
Typical work that data of this type supports.
- 01
Storage tracking
Follow storage and releases through the season.
Because it has: Lakes & Reservoirs
- 02
Change over time
See how lakes and wetlands have grown or shrunk.
- 03
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Storage from space
Estimate volume from satellite water area and altimetry.
- 02
Release decisions
Optimise releases against inflow forecasts.
- 03
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
Machine access and documentation
Data paper
GRILSS: Opening the gateway to global reservoir sedimentation data
Earth System Science Data 2025
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