Seokhyeon Kim

Assistant Professor

Kyungpook National University

South Korea

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Seokhyeon Kim is an Assistant Professor at Kyung Hee University in South Korea. His research focuses on hydrology, satellite remote sensing, and water resource management, with recent publications addressing streamflow prediction, soil moisture assessment, and groundwater data imputation. He is particularly interested in the development of methodologies for enhanced monitoring and modeling in data-scarce regions.

Articles (21)

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Collaborators (9)

Rory Nathan

University of Melbourne

AUSTRALIA

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Venkataraman Lakshmi

University of Virginia

UNITED STATES

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Suraj Shah

University of New South Wales

AUSTRALIA

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Conrad Wasko

AUSTRALIA

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Ashish Sharma

Professor

University of New South Wales

AUSTRALIA

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Hyunglok Kim

Assistant Professor

Gwangju Institute of Science and Technology

SOUTH KOREA

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Kyungrock Paik

Korea University

SOUTH KOREA

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Lucy Marshall

Macquarie University

AUSTRALIA

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Yi Liu

University of New South Wales

AUSTRALIA

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Seokhyeon Kim

Research Interests

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About

Articles (21)

Quantifying the Added Values of a Merged Precipitation Product in Streamflow Prediction over the Central Himalayas

Seamless finer-resolution soil moisture from the synergistic merging of the FengYun-3 satellite series

Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin

Doing hydrology when no in-situ data exists: Surrogate River discharge Model (SRM)

Strategic imputation of groundwater data using machine learning: Insights from diverse aquifers in the Chao-Phraya River Basin

Optimal combinations of global evapotranspiration and terrestrial water storage products for catchment water balance

Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing

The role of regional water vapor dynamics in creating precipitation extremes

Characterizing Satellite Soil Moisture Drydown: A Bivariate Filtering Approach

Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization

How does increasing temperature affect the sub-annual distribution of monthly rainfall?

Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting

The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates

A global assessment of change in flood volume with surface air temperature

Development of a Car-Free Street Mapping Model Using an Integrated System with Unmanned Aerial Vehicles, Aerial Mapping Cameras, and a Deep Learning Algorithm

Linking Total Precipitable Water to Precipitation Extremes Globally

Bayesian Model Calibration Using Surrogate Streamflow in Ungauged Catchments

Rethinking Satellite Data Merging: From Averaging to SNR Optimization

Bayesian model calibration using surrogate streamflow in ungauged catchments

Assessing Countermeasure Effectiveness in Controlling Cyanobacterial Exceedance in Riverine Systems Using Probabilistic Forecasting Alternatives

Rethinking Satellite Data Merging: From Averaging to SNR Optimization

Collaborators (9)

Rory Nathan

Venkataraman Lakshmi

Suraj Shah

Conrad Wasko

Ashish Sharma

Hyunglok Kim

Kyungrock Paik

Lucy Marshall

Yi Liu

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