Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut

This paper evaluated the latest version 6.0 Global Satellite Mapping of Precipitation (GSMaP) and Integrated Multi-satellitE Retrievals for Measurement (IMERG) products during 2018 Typhoon Mangkhut in China. The reference data is rain gauge datasets from Gauge-Calibrated Climate Prediction Centre (CPC) Morphing Technique (CMORPHGC). comparison include GSMaP near-real-time, Microwave-IR merged, gauge-calibrated (GSMaP_NRT, GSMaP_MVK, GSMaP_Gauge) IMERG Early, Final, Final (IMERG_ERUncal, IMERG_FRUncal, IMERG_FRCal) products. results show that (1) both GSMaP_Gauge IMERG_FRCal considerably reduced bias their satellite-only outperforms with higher Correlation Coefficient (CC) values about 0.85, 0.78, 0.50; lower Fractional Standard Error (FSE) 18.00, 18.85, 29.30; Root-Mean-Squared (RMSE) 12.12, 33.35, 32.99 mm rainfall centers over mainland China, southern eastern respectively. (2) perform better than products, Probability Detection (POD) Critical Success Index (CSI) False Alarm Ratio (FAR) detecting occurrence, especially high rates. (3) For area-mean rainfall, performs worse China but shows performance center well three regions a CC (0.79 vs. 0.94, 0.81 0.96, 0.95 0.97) low RMSE (0.04 0.06, 0.40 0.59, 0.19 0.34 mm). These useful findings will help algorithm developers users to understand typhoon precipitation events.