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’m interested in land-atmosphere interaction. One specific question is which condition of soil moisture can lead to precipitation. Is it wet soil or dry? But the answer on this question remains open. Studies using global coarse-resolution models have found wet soil leads to precipitation. But such models employ convective parameterization which is one major uncertainty of precipitation. On the other hand, studies using high-resolution regional models have reported that dry soil gets precipitation. Again, the large-scale circulation is prescribed in such model. This motivates me to explore land-atmosphere interaction using coupled storm-resolving Earth System Models.

In addition, I like playing with the model code. With that intestest, I implemented 3d Smagorinsky turbulence scheme into the ICON model and 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