Assessment of a Gauge-Radar-Satellite Merged Hourly Precipitation Product for Accurately Monitoring the Characteristics of the Super-Strong Meiyu Precipitation over the Yangtze River Basin in 2020

The recently developed gauge-radar-satellite merged hourly precipitation dataset (CMPAS-NRT) offers broad applications in scientific research and operations, such as intelligent grid forecasting, meteorological disaster monitoring warning, numerical model testing evaluation. In this paper, we take a super-long Meiyu process experienced the Yangtze River basin summer of 2020 object, evaluate capability CMPAS-NRT for from multiple perspectives, error indicators, characteristics, daily variability different rainfall areas, using dense surface rain-gauge observation data reference. results show that indicators are good agreement with gauge observations. can accurately reflect evolution during whole rainy season, capture spatial distribution rainbands, but there is an underestimation extreme precipitation. At same time, product features phenomenon overestimation at level light rain. terms variation precipitation, amount, frequency, intensity basically consistent observations, except lag peak frequency night less than observed, higher observed. Overall, successfully characteristics super-heavy event, has high potential hydrological utilization value. However, further improvement algorithm needed to solve problems order provide more accurate dataset.