02GG006 · ON · Drainage area 244 km² (HYDAT)
Loading verification report...
| Stage | Years | KGE |
|---|---|---|
| Calibration | – | – |
| Validation | – | 0.841 |
Checking your access…
Checking your access…
Physical hydrological model (Raven), corrected by a machine learning model (per-gauge XGBoost) trained on the residuals. Where the correction stops before the last day, it fades into Raven over two days. Current validation KGE 0.841 and NSE 0.733 at a 7 day horizon, measured on the record used to calibrate and select this model, so it is not independent evidence: every live gauge clears the gate because clearing it is what makes a gauge live. These are the figures the gauge must keep clearing to stay live, re-checked at each daily revalidation on the current observation record, not a fixed score from the day it was promoted (scored at promotion; not yet re-checked). Over its 5 validation years the model scored KGE 0.702 to 0.867 at 7 days, each year on its own. Operational skill is worse than these figures, because the forecast starts from a modelled river state that is systematically off at issue time.
Skill may drop in extreme events outside the calibration range.
Powered by AI-developed physically-based hydrological models
Data sources: Water Survey of Canada, Environment and Climate Change Canada. View attribution details