Satbyeol Shin
University of Florida
10 Papers
Satbyeol Shin is an academic researcher from University of Florida. The author has contributed to research in topics: Environmental science & Climate change. The author has an hindex of 2, co-authored 4 publications.
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Papers
Integrated sediment transport process modeling by coupling Soil and Water Assessment Tool and Environmental Fluid Dynamics Code
TL;DR: This article introduces how the two models, SWAT and EFDC, are linked for integrated sediment modeling and demonstrates how the proposed framework can be applied in a case study.
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Evaluating the performance of climate models in reproducing the hydrological characteristics of rainfall events
Jung-Hun Song,Younggu Her,Satbyeol Shin,Jaepil Cho,Rajendra Paudel,Yogesh P. Khare,Jayantha Obeysekera,Christopher J. Martinez +7 more
TL;DR: In this article, the performance of climate models in reproducing rainfall events has not been investigated enough to guide the prediction of future rainfall events, but the performance has been investigated in the past.
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Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling
TL;DR: In this paper , a variety of ensemble methods, including simple averaging, median filtering, weighted averaging, Bayesian model averaging, and their variants, were tested in watershed modeling implemented to predict daily water discharge and total phosphorus (TP) loads of a study watershed.
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Climate change impacts on water quantity and quality of a watershed-lake system using a spatially integrated modeling framework in the Kissimmee River – Lake Okeechobee system
TL;DR: In this paper , the impacts of climate change on the water quantity and quality of the NLO watershed- Lake Okeechobee system using a spatially integrated modeling framework combining watershed loading and receiving waterbody models together.
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Quantifying the contribution of external loadings and internal hydrodynamic processes to the water quality of Lake Okeechobee.
TL;DR: In this paper , the authors investigated how the water quality of Lake Okeechobee is controlled by external and internal factors using statistical and numerical modeling approaches, and found that wind (speed) is the major driving force for the internal hydrodynamic processes; its impact on algal biomass was greater than those of the external loadings.
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