Mitigating Spatial Discontinuity of Multi-Radar QPE Based on GPM/KuPR
AbstractReflectivity factor bias caused by radar calibration errors would influence the accuracy of Quantitative Precipitation Estimations (QPE), and further result in spatial discontinuity in Multiple Ground Radars QPE (MGR-QPE) products. Due to sampling differences and random errors, the associated discontinuity cannot be thoroughly solved by the single-radar calibration method. Thus, a multiple-radar synchronous calibration approach was proposed to mitigate the spatial discontinuity of MGR-QPE. Firstly, spatial discontinuity was solved by the intercalibration of adjacent ground radars, and then calibration errors were reduced by referring to the Ku-Band Precipitation Radar (KuPR) carried by the Global Precipitation Measurement (GPM) Core Observatory as a standard reference. Finally, Mosaic Reflectivity and MGR-QPE products with spatial continuity were obtained. Using three S-band operational radars covering the lower reaches of the Yangtze River in China, this method was evaluated under four representative precipitation events. The result showed that: (1) the spatial continuity of reflectivity factor and precipitation estimation fields was significantly improved after bias correction, and the reflectivity differences between adjacent radars were reduced by 78% and 82%, respectively; (2) the MGR-QPE data were closer to gauge observations with the normalized absolute error reducing by 0.05 to 0.12. View Full-Text
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Chu, Z.; Ma, Y.; Zhang, G.; Wang, Z.; Han, J.; Kou, L.; Li, N. Mitigating Spatial Discontinuity of Multi-Radar QPE Based on GPM/KuPR. Hydrology 2018, 5, 48.
Chu Z, Ma Y, Zhang G, Wang Z, Han J, Kou L, Li N. Mitigating Spatial Discontinuity of Multi-Radar QPE Based on GPM/KuPR. Hydrology. 2018; 5(3):48.Chicago/Turabian Style
Chu, Zhigang; Ma, Yingzhao; Zhang, Guifu; Wang, Zhenhui; Han, Jing; Kou, Leilei; Li, Nan. 2018. "Mitigating Spatial Discontinuity of Multi-Radar QPE Based on GPM/KuPR." Hydrology 5, no. 3: 48.
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