PNNL

Kyuhyun Byun is a postdoctoral research fellow in the Watershed & Ecosystem Science Group at PNNL. His research mainly focuses on terrestrial hydrologic modeling, land-atmosphere interaction, remote sensing of environments, and combined impacts of climate change and environmental disturbances on the hydrologic system. In the Science Focus Area project, Byun is involved in watershed and basin-scale modeling of hydrobiogeochemical processes to understand the vital role of hydrologic exchange flows in the river corridor at large scales and analyze the impacts of environmental disturbances, such as extreme flows, fire events, and altered climate on the river corridor hydrobiogeochemical processes. He also applies statistical analysis to high-resolution remote sensing-based evapotranspiration data to leverage understanding of plant-water dynamics at the surface-water and groundwater interface in semi-arid environments.

Before joining PNNL, Byun completed his PhD specializing in hydrology and climate change impacts at the University of Notre Dame. His PhD research work focused on analyzing hydrologic impacts of climate change using downscaled climate simulations over the Midwest and Great Lakes regions and developing an analytical framework for non-stationary hydroclimatic extremes for infrastructure design and risk evaluation under changing environments.

• Integrated modeling of land surface and subsurface hydrologic processes
• Watershed hydrologic and biogeochemical modeling
• Impacts of climate change and ecosystem disturbances on hydrologic processes
• Statistical analysis on hydroclimatic and hydrologic extremes
• Application of machine learning to hydrologic modeling
• Remote sensing of water resources

• PhD in Civil Engineering and Environmental Engineering and Earth Sciences, Specialization in Hydrology and Climate Change Impacts, University of Notre Dame, 2019
• MS in Civil Engineering and Environmental Engineering, Specialization in Hydrology and Remote Sensing of Environment, Hanyang University, 2014
• BS in Civil Engineering and Environmental Engineering, Hanyang University, 2012

2020

• Byun K and AF Hamlet. (2020). "A risk-based analytical framework for quantifying non-stationary flood risks and establishing infrastructure design standards in a changing environment.” Journal of Hydrology, 584, 124575. https://doi.org/10.1016/j.jhydrol.2020.124575

2019

• Hamlet AF, K Byun, SM Robeson, M Widhalm, and M Baldwin. (2019). “Impacts of climate change on the state of Indiana: ensemble future projections based on statistical downscaling.” Climatic Change, 1–15. https://doi.org/10.1007/s10584-018-2309-9
• Byun K, CM Chiu, and AF Hamlet. (2019). “Effects of 21st century climate change on seasonal flow regimes and hydrologic extremes over the Midwest and Great Lakes region of the US. Science of the Total Environment.” 650, 1261–1277. https://doi.org/10.1016/j.scitotenv.2018.09.063

2018

• Chin N, K Byun, AF Hamlet, and KA Cherkauer. (2018). “Assessing potential winter weather response to climate change and implications for tourism in the U.S. Great Lakes and Midwest. Journal of Hydrology: Regional Studies,” 19, 42–56. https://doi.org/10.1016/j.ejrh.2018.06.005
• Byun K and AF Hamlet. (2018). ”Projected changes in future climate over the Midwest and Great Lakes region using downscaled CMIP5 ensembles.” International Journal of Climatology, 38(Suppl.1), e531–e553. https://doi.org/10.1002/joc.5388

2015

• Park J, K Byun, M Choi, E Jang, J Lee, Y Lee, and S Jung. (2015). “Evaluation of statistical gap fillings for continuous energy flux (evapotranspiration) measurements for two different land cover types.” Stochastic Environmental Research and Risk Assessment, 29(8), 2021–2035. https://doi.org/10.1007/s00477-015-1101-x

2014

• Byun K, UW Liaqat, and M Choi. (2014). “Dual-model approaches for evapotranspiration analyses over homo- and heterogeneous land surface conditions.” Agricultural and Forest Meteorology, 197, 169–187. https://doi.org/10.1016/j.agrformet.2014.07.001
• Byun K and M Choi. (2014). “Uncertainty of snow water equivalent retrieved from AMSR-E brightness temperature in northeast Asia.” Hydrological Processes, 28(7), 3173–3184. https://doi.org/10.1002/hyp.9846