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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

Rocky Talchabhadel, Hajime Nakagawa, Kenji Kawaike, Kazuki Yamanoi, Herman Musumari, Tirtha Raj Adhikari et Rajaram Prajapati

Article de revue (2021)

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Abstract

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

Sujet(s): 1000 Génie civil > 1000 Génie civil
1000 Génie civil > 1006 Génie hydrologique
1000 Génie civil > 1007 Ressources et approvisionnement en eau
Département: Département des génies civil, géologique et des mines
Organismes subventionnaires: Japan Society - Promotion of Science (JSPS) - Postdoctoral Fellowship Program
Numéro de subvention: P19052
URL de PolyPublie: https://publications.polymtl.ca/9281/
Titre de la revue: Earth and Space Science (vol. 8, no 8)
Maison d'édition: Wiley
DOI: 10.1029/2020ea001518
URL officielle: https://doi.org/10.1029/2020ea001518
Date du dépôt: 02 mai 2022 15:36
Dernière modification: 28 sept. 2024 17:44
Citer en APA 7: 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(8), 15 pages. https://doi.org/10.1029/2020ea001518

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