Daehyun Kim

Associate Professor, Atmospheric Sciences

Daehyun Kim
Areas of Expertise
  • Climate dynamics
  • Climate modeling
  • Cloud physics
  • Cumulus parameterization
  • ATM S 103 Hurricanes and Thunderstorms: Their Science and Impacts
  • ATM S 380 Weather and Climate Prediction
  • ATM S 441/503 Atmospheric Dynamics II
  • ATM S 542 Balanced Dynamics

2017 Distinguished Scholar Award, Korean Meteorological Society

2012 James R. Holton Junior Scientist Award, American Geophysical Union

2010 Best Thesis Award, Seoul National University SPARC


2013-present Co-chair (since May 2016) and member, WMO WGNE MJO Task Force

2010-2012 Member, WMO WCRP/WWRP–THORPEX YoTC MJO Task Force

2006-2009 Member, US CLIVAR MJO Working Group

2015-present Member, NOAA Model Diagnostics Task Force

2019-prsent Member, Department Diversity Committee 

2016-2020 Member, College of Environment Scholarship Committee

2017-present Associate Editor, Asia-Pacific Journal of Atmospheric Sciences 

2018-present Editorial Board Member, npj Climate and Atmospheric Sciences

Selected publications
  • D. Kim, E. D. Maloney, and C. Zhang, 2021: Review: MJO propagation over the Maritime Continent, Chap. 21 in The Multiscale Global Monsoon System, Eds: C.P. Chang, K.J. Ha, R. H. Johnson, D. Kim, G.N. Lau, B. Wang. World Scientific Series on Asia-Pacific Weather and Climate, Vol. 11. World Scientific, Singapore, https://doi.org/10.1142/11723

  • Kang, D., D. Kim, M.-S. Ahn, R. Neale, J.-W. Lee, and P. Glecker, 2020: The role of the mean state on MJO simulation in CESM2 ensemble simulation. Geophy. Res. Lett., 47, e2020GL089824.

  • Ahn, M.-S., D. Kim, D. Kang, J. Lee, K. R. Sperber, P. J. Glecker, X. Jiang, Y.-G. Ham, and H. Kim, 2020: MJO Propagation across the Maritime Continent: Are CMIP6 Models Better than CMIP5 Models? Geophy. Res. Lett. 47, e2020GL087250.

  • Kim, D., Y. Moon, S. Camargo, A. Sobel, A. Wing, H. Murakami, G. Vecchi, M. Zhao, and E. Page, 2018: Process-oriented diagnosis of tropical cyclones in high-resolution climate models. J. Climate, 31, 1685–1702.

  • Cheng, W.-Y., D. Kim, A. Rowe, and Y. Moon, 2020: Mechanisms of convective clustering during the AMIE/DYNAMO 2-day rain episodes, J. Adv. Model. Earth Syst., e2019MS001907..

  • Rushley, S. S., D. Kim, and Á. F. Adames, 2019: Changes in the MJO under the greenhouse gas-induced warming in CMIP5 models, J. Climate, 32, 803–821.

  • Cheng, W.-Y., D. Kim, and A. Rowe, 2018: Objective Quantification of Convective Clustering Observed During the AMIE/DYNAMO Two-Day Rain Episodes. J. Geophys. Res. Atmos., 123, 10,310-361,378.

  • Kim, D., E. D. Maloney, 2017: Review: Simulation of the Madden-Julian oscillation using general circulation models, The Global Monsoon System, 3nd Edition, C.-P. Chang et al., Eds., 119-130.

  • Kim, D., H. Kim, and M.-I. Lee, 2017: Why does the MJO detour the Maritime Continent during austral summer? Geophys. Res. Lett., 44, 2579–2587.

  • Adames, Á. F., and D. Kim, 2016: The MJO as a dispersive, convectively coupled moisture wave: observations and theory. J. Atmos. Sci., 73, 913–941.

  • Kim, D., M.-S. Ahn, I.-S. Kang, and A. D. Del Genio, 2015: Role of longwave cloud-radiation feedback in the simulation of the Madden-Julian oscillation. J. Climate, 28, 6979-6994.

  • Kim, D., P. Xavier, E. Maloney, M. Wheeler, D. Waliser, K. Sperber, H. Hendon, C. Zhang, R. Neale, Y.-T. Hwang, H. Liu, 2014: Process-oriented MJO simulation diagnostic: Moisture sensitivity of simulated convection. J. Climate, 27, 5379–5395.

  • Kim, D., J.-S. Kug, and A. H. Sobel, 2014: Propagating vs. Non-propagating Madden-Julian oscillation events. J. Climate, 27, 111-125.

  • Kim, D., A. H. Sobel, A. D. Del Genio, Y. Chen, S. J. Camargo, M.-S. Yao, M. Kelley, and L. Nazarenko, 2012: Tropical subseasonal variability simulated in the NASA GISS general circulation model. J. Climate, 25, 4641-4659.

  • Kim, D. and I.-S. Kang, 2012: A bulk mass flux convection scheme for climate model – Description and moisture sensitivity. Clim. Dyn., 38, 411-429.

  • Kim, D., K. Sperber, W. Stern, D. Waliser, I.-S. Kang, E. Maloney, W. Wang, K. Weickmann, J. Benedict, M. Khairoutdinov, M.-I. Lee, R. Neale, M. Suarez, K. Thayer-Calder, and G. Zhang, 2009: Application of MJO simulation diagnostics to climate models. J. Climate, 22, 6413-6436.