Junhong Lee

Department Climate Physics
Group Climate Surface Interaction
Position Scientist
phone +49 40 41173-354
Email junhong.lee@mpimet.mpg.de
Room B 406

Research interests

I am a postdoctoral researcher at the Max Planck Institute for Meteorology, interested in land-atmosphere interactions within storm-resolving Earth System Models. My research explores questions such as which soil moisture conditions—wet or dry—can trigger precipitation in these high-resolution models. Additionally, I’m interested in how the estimation of carbon stocks and fluxes in storm-resolving models differs from current understandings.

Beyond my core research, I enjoy working with model code. This interest has led me to implement the 3D Smagorinsky turbulence scheme into the ICON model’s Sapphire configuration and the roughness sublayer surface-layer scheme into the WRF model.

Education

  • 2012 - 2019   Ph. D. and M. S. in Atmospheric Sciences, Yonsei University, Korea [Thesis: The Representations of Vegetation for Surface Wind in the WRF Model]
  • 2008 - 2012   B. S. in Atmospheric Sciences, Kongju National University, Korea B. S. in Earth Science Education, Kongju National University, Korea [Thesis: Analysis of Arctic and Antarctic Sea-Ice Concentration Variation Retrieved from Aqua/AMSER-E]

Work experience

  • since 2019   Postdoc at the Max Plnack Institute for Meteorology (MPI-M)

Publication list

Lee, J., Lee, H. J., Kim, K. B., Shin, H. H., Lim, J. M., Hong, J., & Lim, K. S. Height correction method based on the Monin–Obukhov Similarity Theory for better prediction of near-surface wind fields. Atmospheric Research. https://doi.org/10.1016/j.atmosres.2023.106882.

Hohenegger, C., Korn, P., Linardakis, L., Redler, R., Schnur, R., Adamidis, P., et al. (2023). ICON- Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales. Geoscientific Model Development, 16(2), 779-811.

Lee, H.-J., Kim, K.-B., Lee, J., Shin, H. H., Chang, E.-C., Lim, J.-M., & Lim, K.-S. S. (2022). Effects of the Subgrid-Scale Orography Parameterization and High-Resolution Surface Data on the Simulated Wind Fields in the WRF Model under the Different Synoptic-Scale Environment. Atmosphere, 32(2), 103–118. doi.org/10.14191/ATMOS.2022.32.2.103

Lee, J., Hohenegger, C., Chlond, A., Schnur, R. (2022). The climatic role of interactive leaf phenology in the vegetation-atmosphere system of radiative-convective equilibrium storm-resolving simulations. Tellus B: Chemincal and Physical Meteorology, 74, 164-175.

Kim, S. M., Koo, J. H., Lee, H., Mok, J., Choi, M., Go, S., et al. (2021). Comparison of PM2. 5 in Seoul, Korea estimated from the various ground-based and satellite AOD. Applied Sciences, 11(22), 10755.

Kim, J., Lee, J., Hong, J. W., Hong, J., Koo, J. H., Kim, J. H., et al. (2020). Evaluation of land- atmosphere processes of the Polar WRF in the summertime Arctic tundra. Atmospheric Research, 240, 104946.

Lee, J., Hong, J., Noh, Y., & Jiménez, P. A. (2020). Implementation of a roughness sublayer parameterization in the Weather Research and Forecasting model (WRF version 3.7. 1) and its evaluation for regional climate simulations. Geoscientific Model Development, 13(2), 521-536. doi.org/10.5194/gmd-13-521-2020

Lee, J., Hong, J. W., Lee, K., Hong, J., Velasco, E., Lim, Y. J., et al. (2019). Ceilometer monitoring of boundary-layer height and its application in evaluating the dilution effect on air pollution. Boundary-Layer Meteorology, 172(3), 435-455. doi.org/10.1007/s10546-019-00452-5

Kang, S., Kang, T., Park, T., Park, G., Lee, J., Hong, J. W., et al. (2018). Characterization of aerosol composition, concentration, and sources in Bukhansan National Park, Korea. Journal of Korean Society for Atmospheric Environment, 34(3), 457-468.

Lee, J., & Hong, J. (2016). Implementation of spaceborne lidar‐retrieved canopy height in the WRF model. Journal of Geophysical Research: Atmospheres, 121(12), 6863-6876. doi.org/10.1002/2015JD024299

Lee, J., Shin, H. H., Hong, S. Y., Jiménez, P. A., Dudhia, J., & Hong, J. (2015). Impacts of subgrid‐ scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high‐resolution WRF model. Journal of Geophysical Research: Atmospheres, 120(2), 644-653. doi.org/10.1002/2014JD022747

Lee, J., Hohenegger, C., & Chlond, A. (2020). Technical description of turbulent schemes in ICON- AES and ICON-LEM. Technical notes of the ICON model. wiki.mpimet.mpg.de/doku.php