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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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/16/2898 |
| _version_ | 1797583031636066304 |
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| author | Younghyun Cho |
| author_facet | Younghyun Cho |
| author_sort | Younghyun Cho |
| collection | DOAJ |
| description | 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, E<sub>NS</sub>, 0.863; coefficient of determination, R<sup>2</sup>, 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 (E<sub>NS</sub> 0.776, R<sup>2</sup> 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. |
| first_indexed | 2024-03-10T23:31:04Z |
| format | Article |
| id | doaj.art-cbcf68149ba0459493ebfb18d783a010 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T23:31:04Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-cbcf68149ba0459493ebfb18d783a0102023-11-19T03:22:20ZengMDPI AGWater2073-44412023-08-011516289810.3390/w15162898Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South KoreaYounghyun Cho0K-water Research Institute, K-water (Korea Water Resources Corporation), Daejeon 34045, Republic of KoreaThis 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, E<sub>NS</sub>, 0.863; coefficient of determination, R<sup>2</sup>, 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 (E<sub>NS</sub> 0.776, R<sup>2</sup> 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.https://www.mdpi.com/2073-4441/15/16/2898radarRARGPM IMERGflood simulationHEC-HMSModClark |
| spellingShingle | Younghyun Cho Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea Water radar RAR GPM IMERG flood simulation HEC-HMS ModClark |
| title | Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea |
| title_full | Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea |
| title_fullStr | Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea |
| title_full_unstemmed | Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea |
| title_short | Comparative Application of Rain Gauge, Ground- and Space-Borne Radar Precipitation Products for Flood Simulations in a Dam Watershed in South Korea |
| title_sort | comparative application of rain gauge ground and space borne radar precipitation products for flood simulations in a dam watershed in south korea |
| topic | radar RAR GPM IMERG flood simulation HEC-HMS ModClark |
| url | https://www.mdpi.com/2073-4441/15/16/2898 |
| work_keys_str_mv | AT younghyuncho comparativeapplicationofraingaugegroundandspaceborneradarprecipitationproductsforfloodsimulationsinadamwatershedinsouthkorea |