Classification: no_prediction Confidence: Model confidence remains static as no new rainfall-response data was generated to validate or invalidate current coefficients. The 'no_prediction' status is technically correct given zero QPE inputs, but highlights dependency on QPE accuracy.
The prediction engine failed to generate a forecast today despite a 0.49 ft gauge rise occurring under WET antecedent moisture conditions, likely due to zero QPE data across all bands.
| Metric | Predicted | Actual | Error |
|---|---|---|---|
| Peak height | N/A | 3.82 ft | N/A |
| Total rise | — | 0.49 ft | — |
| Band | Precip | Predicted Rise | Intensity | Moisture |
|---|---|---|---|---|
Today's event presents a complete data vacuum regarding precipitation inputs. The QPE sensors recorded 0.00 inches across all five bands for the entire 24-hour period, and the gauge precipitation sensor also recorded 0 inches. Consequently, the prediction model correctly (or inevitably) output 'None', as there was no rainfall signal to process.
However, the gauge recorded a rise of 0.49 ft, peaking at the start of the day. Given the WET soil conditions (2.834" 7-day avg), this rise is consistent with the slow recession from the previous day's significant event (which peaked at 4.58 ft on June 24) or potentially unmeasured near-gauge rainfall that the QPE network missed entirely. The previous event on June 24 was classified as a 'false_negative' because the model ignored significant headwaters QPE; today, there is no QPE at all.
Because the prediction was 'None', calibration coefficients for band response cannot be adjusted using standard error minimization. The rise is relatively small (0.49 ft) and the timing (peak at 00:00) suggests it may be residual recession from yesterday's larger event rather than a distinct new rainfall response. Without a clear rainfall input signal to correlate with the rise, any coefficient adjustment would be speculative and potentially destabilizing. The model's failure to predict is attributed to data availability (no rain detected) rather than a flawed hydrological response curve.
No changes made.
Model confidence remains static as no new rainfall-response data was generated to validate or invalidate current coefficients. The 'no_prediction' status is technically correct given zero QPE inputs, but highlights dependency on QPE accuracy.