Yemen NWRA Groundwater Monitoring (ESCWA national systems brief)
ESCWA technical document on Yemen's National Water Resources Authority (NWRA) groundwater and rainfall monitoring networks and the NWRMIS database, documenting monitoring stations and data dissemination for Yemen's stressed groundwater basins (e.g. Sana'a basin).
unescwa.org
At a glance
- Region
- Yemen (Middle East)
- Coverage
- National
- Access
- Free
- Category
- UN Organization
- Last updated
- 2024
What's inside
- Groundwater
- Rainfall
- Monitoring networks
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: Rainfall
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Trend hotspots
Find where water tables are falling year after year.
Because it has: Groundwater
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
Gap filling
Rebuild missing well readings from neighbours, rainfall and season.
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