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Jeonghoon Lee, Okjeong Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won, Suhyung Jang and Sangdan Kim
The effect of mountainous regions with high elevation on hourly timescale rainfall presents great difficulties in flood forecasting and warning in mountainous areas. In this study, the hourly rainfall?elevation relationship of the regional scale is inves...
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Deokhwan Kim, Cheolhee Jang, Jeonghyeon Choi and Jaewon Kwak
As a significant portion of the available water resources in volcanic terrains such as Jeju Island are dependent on groundwater, reliable groundwater level forecasting is one of the important tasks for efficient water resource management. This study aims...
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Jeonghoon Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won and Sangdan Kim
In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are p...
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Jeongeun Won, Jiyu Seo, Jeonghoon Lee, Jeonghyeon Choi, Yoonkyung Park, Okjeong Lee and Sangdan Kim
River runoff predictions in ungauged basins are one of the major challenges in hydrology. In the past, the approach using a physical-based conceptual model was the main approach, but recently, a solution using a data-driven model has been evaluated as mo...
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Jeonghyeon Choi, Jeongeun Won, Suhyung Jang and Sangdan Kim
Many studies have applied the Long Short-Term Memory (LSTM), one of the Recurrent Neural Networks (RNNs), to rainfall-runoff modeling. These data-driven modeling approaches learn the patterns observed from input and output data. It is widely known that t...
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Jeonghoon Lee, Jeonghyeon Choi, Okjeong Lee, Jaeyoung Yoon and Sangdan Kim
Extreme precipitation events have been extensively applied to the design of social infra structures. Thus, a method to more scientifically estimate the extreme event is required. This paper suggests a method to estimate the extreme precipitation in Korea...
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