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README.md
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This repo contains multiple data modalities and is structured as follow:
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- `ground_full`: Ground-based sensor data including **sky images**, a variety of **meteorological measurements**, and labels for solar forecasting tasks, namely different **solar irradiance** components (i.e., GHI, DHI, and DNI) or **power generation** from solar panels.
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- `satellite`: Geostationary satellite imagery including GOES, Himawari, MSG.
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- `weather_forecasts`: Numerical weather predictions (e.g., GFS).
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- `climate_reanalysis`: Retrospective climate reanalysis datasets (e.g., ERA5).
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This repo contains multiple data modalities and is structured as follow:
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- `ground_full`: Ground-based sensor data including **sky images**, a variety of **meteorological measurements**, and labels for solar forecasting tasks, namely different **solar irradiance** components (i.e., GHI, DHI, and DNI) or **power generation** from solar panels.
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- `ground_no_skycam`: A lite version of `ground_full` by excluding **sky images**. Useful for fast analysis and training non-vision models or performing ablation studies.
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- `satellite`: Geostationary satellite imagery including GOES, Himawari, MSG.
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- `weather_forecasts`: Numerical weather predictions (e.g., GFS).
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- `climate_reanalysis`: Retrospective climate reanalysis datasets (e.g., ERA5).
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