Seokhyeon Kim

Employment

• Kyung Hee University Associate Professor
  2026 - Present
• Kyung Hee University Assistant Professor
  2022 - 2026
• UNSW Sydney
  2017 - 2022
• Hyundai Engineering and Construction Group Engineer
  2008 - 2013
• Republic of Korea Army Intelligence officer
  2001 - 2004
• UNSW Sydney

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (84)

• N-tuple collocation for reference-free uncertainty estimation from multi-source hydrological data: beyond triple collocation and three-cornered hat
  Journal of Hydrology 2026 DOI: 10.1016/j.jhydrol.2026.136749
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• A computational framework for basin-scale pond recharge estimation using multi-source geospatial data
  Yaggesh Kumar Sharma, Mohammad Faiz Alam, Navneet Sharma

  +3 more

  • Paul Pavelic
  • Seokhyeon Kim
  • Ravi Raj
  Computers & Geosciences 2026 DOI: 10.1016/j.cageo.2026.106232
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• A unified framework for groundwater level imputation and forecasting in data-limited catchments
  Journal of Hydrology 2026 DOI: 10.1016/j.jhydrol.2026.135944
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• Revealing upstream dam operations under information asymmetry for integrated water resources management
  Kwang-Hee Han, Seokhyeon Kim, Rajeshwar Mehrotra +1 more
  Environmental Research Letters 2026 DOI: 10.1088/1748-9326/ae9967
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• RainMerge: An uncertainty-aware global framework for merging gauge, satellite, and reanalysis sub-daily precipitation 
  Suraj Shah, Yi Liu, Seokhyeon Kim +1 more
  2026 DOI: 10.5194/ems2026-322
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• RainMerge: a two-stage framework for gauge-independent merging of multiple rainfall products
  Suraj Shah, Yi Liu, Seokhyeon Kim +1 more
  Journal of Hydrology 2026 DOI: 10.1016/j.jhydrol.2026.135390
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• A Physically Informed Transformation of Sentinel-1 SAR Observations for Streamflow Inference in Small and Complex Rivers
  2026 DOI: 10.22541/essoar.15002564/v1
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• Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy
  Agricultural Water Management 2026 DOI: 10.1016/j.agwat.2026.110232
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• An Assessment of Multivariate Bias Correction Effects and Model Consistency in CMIP6 Monthly Precipitation Trends
  2026 DOI: 10.5194/egusphere-egu26-15774
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• RainMerge: Open-Source Software for Unified Merging of Satellite and Gauge Precipitation Data
  Ashish Sharma, Suraj Shah, Yi Liu +1 more
  2026 DOI: 10.5194/egusphere-egu26-21357
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• Reliability Assessment and Applicability Analysis of Geostationary Satellite-Based Precipitation Observations for Climate Change Response 
  2026 DOI: 10.5194/egusphere-egu26-16885
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• Reconstruction of SMAP L3 Soil Moisture Data Using a Physical-Deep Learning Based Hybrid Approach
  2026 DOI: 10.5194/egusphere-egu26-2704
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• A Physically Informed Transformation of Sentinel-1 SAR Observations for Streamflow Inference in Small and Complex Rivers
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2026 DOI: 10.1109/JSTARS.2026.3735355
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• Quantifying the Added Values of a Merged Precipitation Product in Streamflow Prediction over the Central Himalayas
  Remote Sensing 2025 DOI: 10.3390/rs17132170
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• Seamless finer-resolution soil moisture from the synergistic merging of the FengYun-3 satellite series
  Daniel Fiifi Tawia Hagan, Seokhyeon Kim, Guojie Wang +8 more
  Scientific Data 2025 DOI: 10.1038/s41597-025-05263-7
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• Enhanced Water Level Monitoring for Small and Complex Inland Water Bodies Using Optical and SAR Retrievals
  Kwanghee Han, Seokhyeon Kim, Rajeshwar Mehrotra +1 more
  2025 DOI: 10.5194/egusphere-egu25-1200
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• Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin
  Remote Sensing 2025 DOI: 10.3390/rs17101731
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• Improving Precipitation Merging: A Generalized Two-Stage Framework Using the Signal-to-Noise Ratio Optimization (SNR-opt)
  Seokhyeon Kim, Suraj Shah, Yi Liu +1 more
  2025 DOI: 10.5194/egusphere-egu25-530
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• Shifting Mountain Flood Regimes under Global Warming
  Suraj Shah, Yi Liu, Seokhyeon Kim +2 more
  2025 DOI: 10.5194/egusphere-egu25-526
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• Doing hydrology when no in-situ data exists: Surrogate River discharge Model (SRM)
  Environmental Modelling & Software 2025 DOI: 10.1016/j.envsoft.2025.106334
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