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Jinhyeok Yu

Photo of Jinhyeok Yu

Address:

4800 Oak Grove Drive

Pasadena, CA 91109

Curriculum Vitae:

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Member of:

Tropospheric Composition

Postdoctoral Researcher

Biography

Jinhyeok Yu is a postdoctoral fellow in the Tropospheric Composition group at JPL. During his Ph.D., he developed an air quality prediction system for Northeast Asia, integrating a chemical transport model (CTM) with satellite retrievals from both low Earth orbit (LEO) and geostationary (GEO) sensors, along with ground-based observations, using data assimilation. He later participated in NASA’s Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) field campaign, providing real-time air quality forecasts and assessing emission contributions using the modeling system he developed during his Ph.D. At JPL, he aims to analyze, validate, and enhance JPL’s multi-component, multi-model chemistry (MOMO-Chem) data assimilation system and investigate the complex interactions among natural and anthropogenic emissions, atmospheric chemistry, and pollutant concentrations in a perturbed Earth system using MOMO-Chem, supporting NASA's Earth Action for Air Quality project.

Education

  • Ph.D. in Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea, 2023
  • M.S. in Earth Science and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea, 2017
  • B.S. in Chemical Engineering, Jeju National University, Jeju, Republic of Korea, 2015

Professional Experience

  • Postdoctoral Fellow, Jet Propulsion Laboratory, Mar., 2025 – Present
  • Postdoctoral Fellow, Gwangju Institute of Science and Technology, Sep., 2023 – Jan., 2025

Research Interests

  • Chemical transport models
  • Chemical data assimilation
  • Tropospheric chemistry reanalysis
  • Emission contribution assessments

Selected Awards

  • Prof. Kyoo Won Lee’s Scholarship for Atmospheric Aerosol Research - Nov 2020
    • School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
  • Research Assistant (RA) Scholarship - Dec 2017
    • School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
  • Brain Korea 21 Program for Leading Universities & Students (BK21 PLUS) - 2017 - 2020
    • National Research Foundation of Korea (NRF), Seoul, Republic of Korea
  • Government Graduate Scholarship 2015 - 2021
    • Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
  • Undergraduate Scholarship 2009 - 2015
    • Jeju National University, Jeju, Republic of Korea

Selected Publications

  1. Yu, J+., Kim, J+., Kim, H. S., Park, S.-Y., Choi, Y., Woo, J.-H., and Song, C. H.: Implementation of a machine learning-based bias-correction for wind speed to improve PM2.5 predictability in a chemistry transport model, In Preparation.
  2. Choi, T., Yu J., Park, S.-Y., Lee, D., and Song, C. H.: Implementing an update of aerosol initial states for Community Multiscale Air Quality (CMAQ) model simulation through kriging method, In Preparation.
  3. Han, K. M., Jung, C. H., Song, C. H., Yu, J., Pan, Y., Cho, S. J., Shin, S. D., Koo, J. H., Woo, J. H., Madalipay, J., Kim, K., and Kim., H. S.: Evaluation of accuracy on bottom-up NH3 emissions and sensitivity of PM2.5 to emission control in South Korea, Atmos. Environ., Under Review.
  4. Cha, Y. Lee, J.-J., Song, C. H., Kim, S., Park, R. J., Lee, M.-I., Woo, J.-H., Bae, K., Choi, J.-H., Yu, J., Kim, E., Kim, H., Lee, S.-H., Kim, J., and Chang, L.-S.: Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results, Atmos. Environ., 340, 120896, https://doi.org/10.1016/j.atmosenv.2024.120896, 2025.
  5. Kim, K., Han, K. M., Song, C. H., Lee, H., Beardsley, R., Yu, J., Yarwood, G., Koo, B., Madalipay, J., Woo, J.-H., and Cho, S.: An investigation into atmospheric nitrous acid (HONO) processes in South Korea, Atmos. Chem. Phys., https://doi.org/10.5194/acp-24-12575-2024, 24(22), 12575–12593, 2024.
  6. Yu, J., Song, C. H., Lee, D., Lee, S., Kim, H. S., Han, K. M., Jeon, M., Park, S., Im, J., Park, S.-Y., Peuch, V.-H., Saide, P. E., Carmichael, G. R., Kim, J., Kim, J., Song, C.-K., Woo, J.-H., and Ryu, S.-H.: Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability, npj Clim. Atmos. Sci., 6, 41, https://doi.org/10.1038/s41612-023-00363-w, 2023.
  7. Dash, U. K., Park, S.-Y., Song, C. H., Yu, J., Yumimoto, K., and Uno, I.: Performance Comparisons of the Three Data Assimilation Methods for Improved Predictability of PM2.5: Ensemble Kalman Filter, Ensemble Square Root Filter, and Three-Dimensional Variational Methods, Environ. Pollut., 322, 121099, https://doi.org/10.1016/j.envpol.2023.121099, 2023.
  8. Yu, J., Han, K. M., Song, C. H., Lee, K., Lee, S., Kim, Y., Woo, J.-H., Kim, S., and Wisthaler, A.: Evaluation of biogenic emissions from three different vegetation distributions in South Korea, Atmos. Environ., 296, 119588, https://doi.org/10.1016/j.atmosenv.2023.119588, 2023.
  9. Park, S.-Y., Dash, U. K., Yu, J., Yumimoto, K., Uno, I., and Song, C. H.: Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5, Geosci. Model Dev., 15(7), 2773–2790, https://doi.org/10.5194/gmd-15-2773-2022, 2022.
  10. Lee, S., Song, C. H., Han, K. M., Henze, D. K., Lee, K., Yu, J., Woo, J.-H., Jung, J., Choi, Y., Saide, P. E., and Carmichael, G. R.: Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia, Atmos. Environ., 271, 118921, https://doi.org/10.1016/j.atmosenv.2021.118921, 2022.
  11. Kenagy, H. S., Romer Present, P. S., Wooldridge, P. J., Nault, B. A., Campuzano-Jost, P., Day, D. A., Jimenez, J. L., Zare, A., Pye, H. O. T., Yu, J., Song, C. H., Blake, D. R., Woo, J.-H., Kim, Y., and Cohen, R. C.: Contribution of Organic Nitrates to Organic Aerosol over South Korea during KORUS-AQ, Environ. Sci. Technol., 55(24), 16326–16338, https://doi.org/10.1021/acs.est.1c05521, 2021.
  12. Lee, K., Yu, J., Lee, S., Park, M., Hong, H., Park, S. Y., Choi, M., Kim, J., Kim, Y., Woo, J.-H., Kim, S.-W., and Song, C. H.: Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues, Geosci. Model Dev., 13(3), 1055–1073, https://doi.org/10.5194/gmd-13-1055-2020, 2020.