Global Historical Climatology Network Monthly Precipitation Dataset v4
Version 4 of the GHCN monthly precipitation dataset providing quality-controlled precipitation records from over 100,000 stations worldwide with improved spatial and temporal coverage.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Precipitation
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
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
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
Machine access and documentation
Data paper
Global Historical Climatology Network Monthly Precipitation Dataset v4
Scientific Data 2024
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