Can Satellite Precipitation Products Estimate Probable Maximum Precipitation: A Comparative Investigation with Gauge Data in the Dadu River Basin

Yuan Yang,Xiaohui Lei,Na Yang,Guoqiang Tang,Yang Hong

doi:10.3390/rs10010041

Abstract

Probable Maximum Precipitation (PMP) is an essential prerequisite in designing dams, spillways, and reservoirs in order to minimize the risk of overtopping infrastructure collapse, especially under today’s changing climate. This study investigates conventional PMP estimation approach by using both scarce in-situ observations and mainstream satellite precipitation products in the Dadu River basin, where plenty of reservoirs and dams are being built. The satellite data include Climate Prediction Center (CPC) MORPHing algorithm (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), and Tropic Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42V7. The evaluation of satellite products shows that CMORPH and 3B42V7 agree well with gauge-based dataset for the period of 1998–2013 at both the grid and basin scales, also capturing the extreme precipitation events, with high Correlation Coefficients (CC) in terms of 0.68 and 0.71, respectively. Also, CMORPH and 3B42V7 show better performance for the magnitude and spatial distribution of 24-h PMP in such complex terrains. PERSIANN-CDR shows an overestimation in the upstream and an underestimation in the downstream. As among the first studies of satellite precipitation-based PMP estimation, this work sheds lights on the suitability of satellite precipitation in PMP estimation and could provide a reference for future extended spatially-distributed PMP estimation in vast ungauged regions.

Highlights

Dams, reservoirs, and other water infrastructures play a significant role in human society [1,2,3].These hydraulic infrastructures guarantee water availability [4] and help to regulate disasters [5]
Probable Maximum Flood (PMF) is regarded as the design criteria of spillways [8,9], which is calculated from Probable Maximum Precipitation (PMP) in many countries, such as the United States, Canada, China, India, and Australia [10]
The objectives of this study are (1) to evaluate three mainstream satellite precipitation products against a gauged-based precipitation dataset in the Dadu River basin of China, where plenty of reservoirs and dams are being built; and, (2) to estimate PMP using satellite precipitation products based on the statistical method

Summary

Introduction

Reservoirs, and other water infrastructures play a significant role in human society [1,2,3]. These hydraulic infrastructures guarantee water availability [4] and help to regulate disasters (e.g., floods and droughts) [5]. Attention should be paid to the design of dams, the capability of spillways. Probable Maximum Flood (PMF) is regarded as the design criteria of spillways [8,9], which is calculated from Probable Maximum Precipitation (PMP) in many countries, such as the United States, Canada, China, India, and Australia [10]. Accurate estimations of PMP are very helpful to minimize the risk of overtopping dam collapse

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Discussion

Conclusion