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README.md
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suggested_hardware: cpu-basic
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startup_duration_timeout: 15m
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app_file: app.py
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---
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# Aarhus Weather Dashboard
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##
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##
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##
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- Vindhastighed og vindstød
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- DMI vs ML sammenligning
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- Historisk performance
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- Regnsandsynlighed (%) og regnmængde (mm)
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- DMI vs ML prognoser
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- Actual rain events
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- Feature importance
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- Win rates (ML vs DMI)
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##
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| `Ciroc0/dmi-aarhus-weather-data` | Historisk data og modeller |
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| `Ciroc0/dmi-aarhus-predictions` | Live 48-timers predictions |
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##
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##
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suggested_hardware: cpu-basic
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startup_duration_timeout: 15m
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app_file: app.py
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license: apache-2.0
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---
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# Aarhus Weather Dashboard
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Read-only Gradio dashboard for forecast inspection and model evaluation in Aarhus. Maintained by `Ciroc0`.
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## What this Space does
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- loads training data and model bundles from `Ciroc0/dmi-aarhus-weather-data`
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- loads live predictions from `Ciroc0/dmi-aarhus-predictions`
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- rebuilds a 7-day historical backtest locally
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- visualizes temperature, wind, rain and performance
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## Runtime behaviour
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- no scheduler
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- cache TTL: `300` seconds
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- history window: `7` days
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- future window: `48` hours
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## File loading order
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### Predictions dataset
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1. `predictions_latest.parquet`
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2. `predictions.parquet` as legacy fallback
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### Weather dataset
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1. `training_matrix.parquet`
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2. `data.parquet` as legacy fallback
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## Tabs
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- Temperature
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- Wind
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- Rain
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- Performance
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## Notes
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- This Space is separate from the public Vercel frontend in the root repo.
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- The Vercel frontend prefers `frontend_snapshot.json`, while this Gradio Space computes its own view from parquet/model files.
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## License
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Source code in this Space is released under `Apache-2.0`. Preserve attribution to `Ciroc0` and keep applicable notice/license files when redistributing the code.
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