Daehyun Kim

Associate Professor, Atmospheric Sciences

Daehyun Kim
Areas of Expertise
  • Climate dynamics
  • Climate modeling
  • Cloud physics
  • Cumulus parameterization
Courses
  • 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
Awards

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

Service

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.