H200-0026
Ground Validations of GPM IMERG in Extreme Events over the Conterminous United States

Wednesday, 16 December 2020
Poster
Zhen Hong1, Zhi Li1, Guoqiang Tang2, Pierre-Emmanuel Kirstetter3 and Yang Hong4, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Saskatchewan, Saskatoon, SK, Canada, (3)University of Oklahoma, School of Civil Engineering and Environmental Sciences and School of Meteorology, Norman, OK, United States, (4)School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
Abstract:
Natural hazards induced by extreme precipitation have profound socioeconomic impacts on local communities. Alleviating such damages necessitates accurate and timely quantitative precipitation estimates. The satellite precipitation product (SPP) Integrated Multi-satellitE Retrievals for GPM (IMERG) provides global staged products (i.e., Early Run, ER; Late Run, LR; and Final Run, FR), that are vital for operational hydrometeorological applications. The goal of this study is to assess IMERG in extreme precipitation events against a gauge-radar ground reference in the conterminous United States (CONUS) from 2015 to 2019. The evaluation explores percentile-based (statistical distribution), event-based (NOAA storm data base), and frequency-based (intensity-duration-frequency curve) extreme evaluations of. Preliminary results indicate that the percentile-based and event-based evaluations concur with an overestimation for the three IMERG runs. With respect to primary sensors, Passive MicroWave (PMW) exhibits higher detectability than Infrared sensor. A comparison will target individual sensors’ performance.
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