Map of the Babai river basin in Nepal showing location of water level and streamflow measuring stations.
Location of water level and streamflow measuring stations (i.e., Upstream: Jhimruk, Midstream: Bagasoti, Downstream: Jalkundi) in the West Rapti basin. The Babai basin is adjacent to the West Rapti basin (inset at top left), where the 2014 August flood completely washed away the early warning system (EWS), and no EWS worked. Credit: Talchabhadel et al. [2021], Figure 3
Source: Earth and Space Science

Ground-based early warning systems for flooding are frequently washed away or damaged by floods, as in the case of the Babai River during the August 2014 event. Therefore, proper use of satellite-based rainfall estimates (SREs) is critical at the time of failure of gauge data. However, relying on these SRE products requires a prior performance evaluation with respect to the gauge data. Also, gauge data frequently suffer from data gaps.

Talchabhadel et al. (2021) demonstrate the applicability of well-performing SRE products to fill gauge data gaps and correct the poor performing SRE products with the information of the gauge data on an hourly scale. Their study took a representative case in the West Rapti River basin, Nepal, for an extreme weather event of August 2014.

Application of SREs is a good head start in data-scarce regions. Furthermore, the methodology and findings are scalable in the areas of flood management in Nepal and beyond.

Citation: Talchabhadel, R., Nakagawa, H., Kawaike, K., Yamanoi, K., Musumari, H., Adhikari, T. R., & Prajapati, R. [2021]. 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. Earth and Space Science, 8, e2020EA001518.

—Jonathan H. Jiang, Editor, Earth and Space Science

Text © 2021. The authors. CC BY-NC-ND 3.0
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