Rhae Sung Kim

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Rhae Sung Kim

  • 301.286.7235
  • NASA/GSFC
  • Mail Code: 617
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND BALTIMORE CO
  • Brief Bio

    Dr. Rhae Sung Kim is an assistant research scientist and a member of the Land Information System (LIS) team in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, Greenbelt, MD. Dr. Kim received his BS degree in Civil and Environmental Engineering from Korea University in 2008, his MS degree in Civil, Environmental & Geodetic Engineering from the Ohio State University in 2011. He completed his Ph.D. in the School of Earth Science at the Ohio State University in 2017. His research interests center on surface hydrology, snow remote sensing & hydrology, snowpack modeling, numerical modeling of the terrestrial water cycle, and data assimilation. His current research focuses on seasonal, terrestrial snow to understand its impact on Earth’s hydrological and land-atmosphere interaction processes.

    Positions/Employment

    12/2021 - Present

    Assistant Research Scientist

    Hydrological Sciences Laboratory (HSL), NASA and GESTAR II, University of Maryland Baltimore Co., Greenbelt, MD

    Conduct research on snow remote sensing measurement and modeling to understand their impact on Earth's hydrological land-atmosphere interaction processes. Work on the Snow Ensemble Uncertainty Project (SEUP), to characterize and estimate the snow water equivalent and its associated errors. Serve as a member of the Land Information System (LIS; http://lis.gsfc.nasa.gov) team for the development of land surface modeling and data assimilation.

    2019 - 2021

    Associate Scientist

    Hydrological Sciences Laboratory (HSL), NASA and GESTAR, Universities Space Research Association (USRA), Greenbelt, MD
    2018 - 2019

    Visiting Associate Earth Science Scientist

    Hydrological Sciences Laboratory (HSL), NASA and Universities Space Research Association (USRA), Greenbelt, MD
    2017 - 2018

    Postdoctoral Researcher

    Hydrological Sciences Laboratory (HSL), NASA and Earth System Science Interdisciplinary Center (ESSIC), Greenbelt, MD

    Research on microwave radiative transfer modeling to couple with the NASA Land Information System (LIS). Conducts research on seasonal, terrestrial snow to understand its impact on Earth's hydrological and land-atmosphere interactions. A member of LIS team.

    Education

    Ph.D., School of Earth Science, 2017, The Ohio State University, Columbus, OH, USA

    M.S., Civil, Environmental & Geodetic Engineering, 2011, The Ohio State University, Columbus, OH, USA

    B.S., Civil and Environmental Engineering, 2008, Korea University, Seoul, South Korea
     

    Research Interests

    Surface hydrology, Snow hydrology, Snow measurement and modeling, Numerical modeling of the terrestrial water cycle, Data assimilation, Radiative transfer theory, Snow remote sensing, Multi sensor remote sensing, Water resources and management

    Professional Societies

    American Geophysical Union, 2014 - Present
    American Meteorological Society, 2018 - Present

    Special Experience

    Field Experiment Experience

    NASA SnowEX Airborne Snow Campaign, Grand Mesa, CO, 2017

    Advanced methods in snow measurement, Steamboat springs, CO, 2015

    Publications

    Refereed

    Wrzesien, M., S. V. Kumar, C. M. Vuyovich, and R. Kim. 2022. "Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development." Journal of Hydrometeorology, [10.1175/jhm-d-21-0071.1]

    Johnston, J. M., P. R. Houser, V. Maggioni, R. S. Kim, and C. Vuyovich. 2021. "Informing Improvements in Freeze/Thaw State Classification Using Subpixel Temperature." IEEE Transactions on Geoscience and Remote Sensing, 1-19 [10.1109/tgrs.2021.3099292]

    Kim, R., S. Kumar, C. Vuyovich, et al. P. Houser, J. Lundquist, L. Mudryk, M. Durand, A. Barros, E. J. Kim, B. A. Forman, E. D. Gutmann, M. L. Wrzesien, C. Garnaud, M. Sandells, H.-P. Marshall, N. Cristea, J. M. Pflug, J. Johnston, Y. Cao, D. Mocko, and S. Wang. 2021. "Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling." The Cryosphere, 15 (2): 771-791 [10.5194/tc-15-771-2021]

    Kim, R., M. Durand, D. Li, et al. E. Baldo, S. A. Margulis, M. Dumont, and S. Morin. 2019. "Estimating alpine snow depth by combining multifrequency passive radiance observations with ensemble snowpack modeling ." Remote Sensing of Environment, 226: 1-15 [10.1016/j.rse.2019.03.016]

    Kim, R., M. Durand, and D. Liu. 2018. "Spectral analysis of airborne passive microwave measurements of alpine snowpack: Colorado, USA." Remote Sensing of Environment, 205: 469-484 [10.1016/j.rse.2017.07.025]

    Brief Bio

    Dr. Rhae Sung Kim is an assistant research scientist and a member of the Land Information System (LIS) team in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, Greenbelt, MD. Dr. Kim received his BS degree in Civil and Environmental Engineering from Korea University in 2008, his MS degree in Civil, Environmental & Geodetic Engineering from the Ohio State University in 2011. He completed his Ph.D. in the School of Earth Science at the Ohio State University in 2017. His research interests center on surface hydrology, snow remote sensing & hydrology, snowpack modeling, numerical modeling of the terrestrial water cycle, and data assimilation. His current research focuses on seasonal, terrestrial snow to understand its impact on Earth’s hydrological and land-atmosphere interaction processes.

    Publications

    Refereed

    Wrzesien, M., S. V. Kumar, C. M. Vuyovich, and R. Kim. 2022. "Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development." Journal of Hydrometeorology [10.1175/jhm-d-21-0071.1]

    Johnston, J. M., P. R. Houser, V. Maggioni, R. S. Kim, and C. Vuyovich. 2021. "Informing Improvements in Freeze/Thaw State Classification Using Subpixel Temperature." IEEE Transactions on Geoscience and Remote Sensing 1-19 [10.1109/tgrs.2021.3099292]

    Kim, R., S. Kumar, C. Vuyovich, et al. P. Houser, J. Lundquist, L. Mudryk, M. Durand, A. Barros, E. J. Kim, B. A. Forman, E. D. Gutmann, M. L. Wrzesien, C. Garnaud, M. Sandells, H.-P. Marshall, N. Cristea, J. M. Pflug, J. Johnston, Y. Cao, D. Mocko, and S. Wang. 2021. "Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling." The Cryosphere 15 (2): 771-791 [10.5194/tc-15-771-2021]

    Kim, R., M. Durand, D. Li, et al. E. Baldo, S. A. Margulis, M. Dumont, and S. Morin. 2019. "Estimating alpine snow depth by combining multifrequency passive radiance observations with ensemble snowpack modeling ." Remote Sensing of Environment 226 1-15 [10.1016/j.rse.2019.03.016]

    Kim, R., M. Durand, and D. Liu. 2018. "Spectral analysis of airborne passive microwave measurements of alpine snowpack: Colorado, USA." Remote Sensing of Environment 205 469-484 [10.1016/j.rse.2017.07.025]

                                                                                                                                                                                            
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