NatLabRockies/sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
This software helps energy system planners and climate modelers transform coarse, low-resolution wind and solar data into highly detailed, actionable forecasts. It takes broad climate model outputs (like daily averages across large areas) and produces hyper-local predictions (like hourly data for specific neighborhoods) at an unprecedented speed. The tool is ideal for anyone needing fine-grained meteorological variables for energy system modeling and climate resilience analysis.
128 stars.
Use this if you need to generate high-resolution wind and solar resource data from coarse climate model outputs for detailed energy system planning or climate impact studies.
Not ideal if you need to reproduce actual historical weather events, as the generated data represents synthetic, physically realistic scenarios rather than specific past observations.
Stars
128
Forks
35
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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