Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea

This study presents a comparative analysis of flood simulations using rain gauge, ground- and space-borne radar precipitation products. The objectives are to assess the effectiveness of two radar-based data sources, namely the Radar-AWS Rainrates (RAR) and Integrated Multi-satellite Retrievals for G...

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Bibliographic Details
Published inWater (Basel) Vol. 15; no. 16; p. 2898
Main Author Cho, Younghyun
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2023
Subjects
Accuracy
Basins
China
Comparative analysis
Dams
flood simulation
Gauges
GPM IMERG
HEC-HMS
Hydrology
ModClark
Performance evaluation
Precipitation
radar
Rain
Rain and rainfall
RAR
Runoff
Satellites
Simulation
Simulation methods
South Korea
Stream flow
Validation studies
Watersheds
Wind
South Korea
China
Japan
East Asia
Malaysia
Peru
India
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Summary:This study presents a comparative analysis of flood simulations using rain gauge, ground- and space-borne radar precipitation products. The objectives are to assess the effectiveness of two radar-based data sources, namely the Radar-AWS Rainrates (RAR) and Integrated Multi-satellite Retrievals for GPM (IMERG), in a dam watershed with gauge observations, and explore the modeling feasibility of integrating the half-hourly IMERG satellite precipitation in regions with ungauged or limited observational area. Two types of HEC-HMS models were developed, considering areal-averaged and spatially distributed gridded data simulations utilizing eight selected storm events. The findings indicate that the RAR data, although slightly underestimate precipitation compared to the gauge measurements, accurately reproduce hydrographs without requiring parameter adjustments (Nash–Sutcliffe efficiency, ENS, 0.863; coefficient of determination, R2, 0.873; and percent bias, PBIAS, 7.49%). On the other hand, flood simulations using the IMERG data exhibit lower model efficiency and correlation, suggesting potential limitations in ungauged watersheds. Nevertheless, with available discharge data, the calibrated model using IMERG shows prospects for utilization (ENS 0.776, R2 0.787, and PBIAS 7.15%). Overall, this research offers insights into flood simulations using various precipitation products, emphasizing the significance of reliable discharge data for accurate hydrological modeling and the need for further evaluation of the IMERG product.
ISSN:2073-4441
2073-4441
DOI:10.3390/w15162898