
Soo-Hyun Kim
Research Scientist
Affiliation: Bay Area Environmental Research Institute (BAERI), NASA Ames Research Center (ARC)
Division: Earth Science Division (SG)
Email: soohyun.kim@nasa.gov
Professional Biography
Dr. Soo-Hyun Kim is a research scientist at NASA Ames Research Center specializing in atmospheric turbulence in the upper troposphere and lower stratosphere (UTLS). Her research integrates in situ aircraft observations and numerical modeling to investigate the characteristics, generation mechanisms, and forecasting of atmospheric turbulence, as well as its relationships with UTLS composition. She has been a research scientist as NASA Ames Research Center since May 2026. She was a NASA Postdoctoral Program (NPP) Fellow at NASA Ames Research Center through May 2026, a postdoctoral fellow at Seoul National University from 2020 to 2024, and a postdoctoral associate at Yonsei University in 2020.
Education
Ph.D., 2020: Department of Atmospheric Sciences, Yonsei University, South Korea
– Thesis: Application of a convective gravity-wave drag parameterization to development of near-cloud turbulence diagnostics
B.S., 2013: Department of Science Education, Ewha Womans University, South Korea
Research Interests
In situ aircraft observations of atmospheric turbulence; Spatiotemporal characteristics and generation mechanisms of UTLS turbulence; Diagnosis, forecasts, and prospects of UTLS turbulence; Relationship between UTLS turbulence and atmospheric composition
Awards/Honors
NASA Postdoctoral Program (NPP) Award (on May 2024)
2023 Award by Director-General for Aviation Meteorological Office, Korea Meteorological Administration
2020 Ph.D. Thesis Award, Graduate school of Yonsei University
2020 Best Ph.D. Thesis Award, Korean Meteorological Society
Select Publications
Kim, S.-H., J.-H. Kim, J. Kim, and J.-S. Min, 2026: Analyses of atmospheric turbulence near surface observed by uncrewed aerial vehicle in the suburban area of Seoul metropolitan, South Korea. Geophys. Res. Lett., 53, e2025GL119855.
Kim, S.-H., R. Ueyama, R. Atlas, J. Dean-Day, P. Bui, J. B. Smith, A. Podglajen, and C. R. Homeyer, 2025: Atmospheric Turbulence in the Upper Troposphere and Lower Stratosphere from Airborne Observations during the DCOTSS Field Campaign. J. Geophys. Res. Atmos., 130, e2025JD044556.
Kim, S.-H., J.-H. Kim, H.-Y. Chun, and R. Sharman, 2023: Global response of upper-level aviation turbulence from various sources to climate change, npj. Clim. Atmos. Sci., 6, 92.
Kim, S.-H., J. Kim, J.-H. Kim, and H.-Y. Chun, 2022: Characteristics of the derived energy dissipation rate using the 1-Hz commercial aircraft quick access recorder (QAR) data, Atmos. Meas. Tech., 15, 2277-2298.
Kim, S.-H., H.-Y. Chun, D.-B. Lee, J.-H. Kim, and R. Sharman, 2021: Improving numerical weather prediction-based near-cloud turbulence forecasts by diagnosing convective gravity wave breaking, Wea. Forecasting, 36, 1735-1757.
Kim, S.-H., H.-Y. Chun, J.-H. Kim, R. Sharman, and M. Strahan, 2020: Retrieval of eddy dissipation rate from derived equivalent vertical gust included in Aircraft Meteorological Data Relay (AMDAR), Atmos. Meas. Tech., 13, 1373-1385.
Kim, S.-H., H-Y. Chun, R. Sharman, and S. Trier, 2019: Development of near-cloud turbulence diagnostics based on a convective gravity-wave drag parameterization, J. Appl. Meteor. Climatol., 58, 1725-1750.
Kim, S.-H., H.-Y. Chun, and P.-W. Chan, 2017: Comparison of turbulence indicators obtained from in situ flight data, J. Appl. Meteor. Climatol., 56, 1609-1623.
Kim, S.-H., and H.-Y. Chun, 2016: Aviation turbulence encounters detected from aircraft observations: spatiotemporal characteristics and application to Korean Aviation Turbulence Guidance, Meteorol. Appl., 23, 594-604.


