Verification studies show improved

Verification studies show improved results in both R/NR detection and precipitation intensity over the validation period for both seasons. Binary R/NR detection resulted in the correction of a significant number of false alarm pixels, especially in the cold season. For precipitation intensity, the averaged daily biases are corrected by as much as 98% and 78% in the validation warm and cold seasons, respectively. These results are also illustrated for a specific rainfall event on 4 August 2014, for which visualization of the cumulative rainfall amount demonstrates the model’s ability to correct false alarms and overestimation.