ICDC TAMSAT Rainfall Estimates for Africa (Univ. Hamburg)
University of Hamburg ICDC mirror and documentation of TAMSAT African daily/pentadal/monthly satellite rainfall estimates with direct file access for hydrometeorological monitoring.
cen.uni-hamburg.de
At a glance
- Region
- Germany (Africa)
- Coverage
- 1983-present
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- Precipitation
- Satellite rainfall
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Because it has: Precipitation
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: Satellite rainfall
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Related water data
- ICPAC African Rainfall Climatology v2 (ARC2)Africa | Free
- TAMSAT Daily Rainfall Estimates v3.0 (Univ. of Reading)Africa | Free
- TAMSAT Data Access PortalAfrica | Free
- CMORPH High-Resolution Africa Rainfall (Digital Earth Africa CHIRPS)Africa | Free
- Water Resources of South Africa 2012 Study (WR2012)Africa | Registration Required
- Ethiopia Ministry Water & EnergyAfrica | Limited
Find more water data
Search and compare 1,900+ water data sources by region, type and access.