ML4WX

Downscaling & super-resolution

Spatiotemporal Super-Resolution with Generative Machine Learning for Creating Renewable Energy Resource Data Under Climate Change Scenarios

Grant Buster

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·

PaperPDF

In one sentence. Generative ML downscales daily CMIP GCM output to hourly 4 km weather for wind, solar, temperature and humidity, enabling grid studies under climate change.

Labels

Topic
Downscaling & super-resolution, Applications & impacts
Type
New model or method
Method
Other
Time scale
Climate projections / centennial
Domain
Regional
Data
CMIP / climate model output
Status
Research
Identifiers
OpenAlex:W4365461164
Added
2026-10-22

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