Min-Seop Ahn

Portrait of  Min-Seop Ahn

  • Title
    Postdoctoral Researcher
  • Email
  • Phone
    (925) 423-2121
  • Organization
    Not Available

Research Interests

  • Model evaluation metrics and process-oriented diagnosis
  • Dynamics, modeling, and prediction of Madden-Julian Oscillation (MJO)
  • Application of machine learning for prediction, diagnosis, and Earth system modeling

Professional Background

  • 2020.05–present: Postdoctoral Researcher, Lawrence Livermore National Laboratory, Livermore, CA, USA
  • 2017.03–2020.05: Postdoctoral Researcher, co-sponsored by University of Washington, Seattle, WA, USA and Chonnam National University, Gwangju, South Korea
  • 2009.12–2010.08: Research assistant, Korea Institute of Ocean Science & Technology, Pusan, South Korea

Ph.D. Atmospheric Sciences, Seoul National University, 2017

M.S. Atmospheric Sciences, Seoul National University, 2012

B.S. Oceanography, Chonnam National University, 2010

  • Ahn, M.-S., Kim, D., Kang, D., Lee, J., Sperber, K. R., Gleckler, P. J., Jiang, X., Ham, Y.-G., & Kim, H. (2020). MJO Propagation Across the Maritime Continent: Are CMIP6 Models Better Than CMIP5 Models? Geophysical Research Letters, 47(11), 1–9. https://doi.org/10.1029/2020GL087250
  • Ahn, M.-S., Kim, D., Ham, Y.-G., & Park, S. (2020). Role of Maritime Continent Land Convection on the Mean State and MJO Propagation. Journal of Climate, 33(5), 1659–1675. https://doi.org/10.1175/JCLI-D-19-0342.1
  • Ahn, M.-S., Kim, D., Park, S., & Ham, Y.-G. (2019). Do We Need to Parameterize Mesoscale Convective Organization to Mitigate the MJO-Mean State Trade-Off? Geophysical Research Letters, 46(4), 2293–2301. https://doi.org/10.1029/2018GL080314
  • Ahn, M.-S., & Kang, I.-S. (2018). A practical approach to scale-adaptive deep convection in a GCM by controlling the cumulus base mass flux. Npj Climate and Atmospheric Science, 1(1), 13. https://doi.org/10.1038/s41612-018-0021-0
  • Ahn, M.-S., Kim, D., Sperber, K. R., Kang, I.-S., Maloney, E., Waliser, D., & Hendon, H. (2017). MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis. Climate Dynamics, 49(11–12), 4023–4045. https://doi.org/10.1007/s00382-017-3558-4

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