A wet bias was also found in cases where weak convection was mixed with large areas of stratiform rain across the radar field of view (FOV). In these cases, there were not sufficient Zdr-Z samples in the high reflectivity range to obtain a robust Zdr-Z slope, thus a default alpha (0.035) typically associated with more efficient stratiform rain was applied. Originally, this value was selected in PIA calculations to minimize underestimates in stratiform rain along warm maritime coastlines as well as precipitation associated with tropical cyclones or their remnants. However, it is found to cause overestimation when weak convection was present.
This study shows how the use of bulk Zdr properties in the low (10 – 30 dBZ’s) and high (40 – 50 dBZ’s) reflectivity bands can be used to mitigate the aforementioned challenges. For the first challenge, bulk Zdr for low and high Z bands were used to ensure the slope derived alpha would better match the environment leading to more accurate hourly rain totals. For stratiform rainfall, bulk Zdr was also used to determine values of alpha used to calculate rain rates across the radar FOV. The initial results of the experimental QPE for 25 cases indicates significant improvement in reducing errors and biases previously observed in the MRMS operational QPE.
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