LGlawion/spateGAN_ERA5
spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation
This project helps hydrologists, meteorologists, and disaster management professionals transform coarse weather reanalysis data into highly detailed precipitation maps. It takes broad, hourly ERA5 precipitation estimates and generates fine-grained rainfall patterns at 2 km resolution and 10-minute intervals. This enables more precise flood risk assessments and hydrological modeling.
Use this if you need high-resolution, realistic precipitation data for specific regions and time periods, derived from ERA5 reanalysis.
Not ideal if you require precipitation data for immediate real-time forecasting or if your primary need is general climate modeling without a focus on downscaled extreme events.
Stars
35
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
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