Appraising the Potential of Using Satellite‐Based Rainfall Estimates for Evaluating Extreme Precipitation: A Case Study of August 2014 Event Across the West Rapti River Basin, Nepal

Heavy precipitation events are recurrently occurring in Nepal, affecting lives and properties every year, especially the summer monsoon season (i.e., June-September). We investigated an extreme (heavy) event of August 2014 over West Rapti River (WRR) Basin, Nepal. First, we forced a rainfall-runoff model with ground-based (gauge) hourly rainfall data nine stations. Second, validated against water level at outlet WRR Basin. This study then evaluated performance different satellite-based estimates (SREs) capturing event. considered use half-hourly Integrated Multi-satellite Retrievals for GPM (IMERG) (Early, Late, Final versions), spatial resolution (10 km), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), (25 Networks-Cloud Classification System (PERSIANN-CCS), (4 km). Also, used 3 h Tropical Analysis (TMPA) product real-time (3B42RT), In general, find that all selected SREs depicted similar pattern as shown by gauge on daily scale. However, these products could not replicate precisely sub-daily Overall, IMERG TMPA showed better than PERSIANN PERSIANN-CCS. Finally, corrected poor-performed respect to also filled gaps information good-performed SREs. Our reveals there is great challenge local flood simulation employing high-temporal