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- ### Project deliverables β†’ instructions/project.md
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- ### CURRENT STATUS
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- **Phase 1 - Data Fusion & Graph Construction: βœ… COMPLETE**
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- - βœ… Data downloads (Hub'Eau hydrometric, ERA5 meteorological, elevations)
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- - βœ… Data loaders (hydrometric.py, safran.py) - aligned with actual API structures
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- - βœ… Fusion pipeline (fusion_engine.py) - merges Hub'Eau + ERA5
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- - βœ… Graph construction (graph_from_fused.py) - PyTorch Geometric compatible
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- - βœ… Graph visualization (visualize.py) - 7 plot types
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- **Working Pipeline:**
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- ```
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- Hub'Eau (53K obs) + ERA5 (10K obs) β†’ Fusion β†’ Graphs β†’ Visualization β†’ Ready for GNN
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- ```
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- **Datasets:**
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- - Hub'Eau: 101,218 observations, 14 stations (1969-2026)
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- - ERA5: Sample data (Jan 2020), full download ready (1960-2026, 67 years)
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- - Station elevations: 27 stations from EU-DEM
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- - ADES groundwater: 113 wells, 272K measurements
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- - IDPR KARST indicators: 27 stations
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- **Next:** GNN model training or full ERA5 download
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- ### INSTRUCTIONS
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- - Role: Elite ML engineer, efficient, direct, best practices
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- - Focus: Graph construction for PyTorch Geometric compatible with spatial-temporal data
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- - Datasets: Located in `datasets/`
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- - Code: All implementation in `src/`