EM-Earth Ensemble Meteorological Dataset (FRDR)
EM-Earth ensemble meteorological dataset for global land (1950-2019, 0.1 degree) with deterministic and 25-member probabilistic estimates of precipitation, temperature and dewpoint, hosted on Canada's Federated Research Data Repository.
frdr-dfdr.ca
At a glance
- Region
- Canada (Global)
- Coverage
- 1950-2019, 0.1 degree
- Access
- Free
- Category
- Research
- Last updated
- 2022
What's inside
- Precipitation
- Temperature
- Ensemble meteorology
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
Risk screening
Screen projects and assets for climate risk.
Because it has: Temperature
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
Bias correction
Correct and downscale climate model output for a site.
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- ERA5-LandGlobal | Free
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