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A small neural network watches the last 48 hours of 1 km radar rainfall over every square of the Cossatot watershed above the Vandervoort gauge — plus the river's own recent behavior and two neighboring gauges (Board Camp Creek and the Mountain Fork) — and projects the level forward hour by hour. It was trained on 12 years of storms and validated against every year it never saw.
Based only on rain that has already fallen. If more rain falls, these numbers become the floor, not the forecast — the model re-issues every hour as new radar arrives. Experimental: trust the main dashboard and your own judgment first.
| Time | Predicted | (cfs) | Likely range |
|---|---|---|---|
| +1 hr (7:00 PM) | 2.48 ft | 58 | 2.48 – 2.49 ft |
| +2 hr (8:00 PM) | 2.48 ft | 57 | 2.47 – 2.48 ft |
| +3 hr (9:00 PM) | 2.46 ft | 56 | 2.46 – 2.48 ft |
| +4 hr (10:00 PM) | 2.45 ft | 55 | 2.45 – 2.49 ft |
| +5 hr (11:00 PM) | 2.46 ft | 56 | 2.43 – 2.47 ft |
| +6 hr (12:00 AM) | 2.45 ft | 54 | 2.43 – 2.49 ft |
Predicted value is the model's median; the likely range spans its 25th–75th percentile. Feet are converted from predicted flow with the gauge's recent rating. Green = at or above floatable; red = above the recommended maximum. Model: cossatot-pixel-v1, the same architecture as the Buffalo neural net, running on-site — no cloud services. Curious how it works? Understand the math →