Skip Navigation

Hyemi Kim

Associate Professor



- School of Earth and Environmental Sciences, Seoul National University, South Korea

Research Topics:

low frequency climate variability, tropical meteorology, ocean-atmosphere interaction, prediction and predictability, tropical cyclone activity, extreme events

Visit our Lab Site


  • Bio/Research


    My primary research interest is climate variability on timescales ranging from a few weeks to several decades which span a wide range of topics from large-scale climate variability to extreme weather events. More specifically there are four focus areas of my work: [1] Prediction and predictability of climate variability from subseasonal to decadal timescales, [2] Tropical-extratropical interaction, [3] extreme events such as atmospheric rivers, storm track, tropical cyclones, and [4] machine learning for S2S prediction.

  • Publications



    • 52. Y. Zhou, H. Kim, D. E. Waliser, 2021: Atmospheric River Life Cycle Responses to the Madden Julian Oscillation, Geophys. Res. Lett.
    • 51. Zheng, C., E. K. M. Chang, H. Kim,M. Zhang, W. Wang, 2021: Subseasonal Prediction of Wintertime Northern Hemisphere Extratropical Cyclone Activity by SubX Models,  Weather and Forecasting
    • 50. J. Richter, K. Pegion, L. Sun, H. Kim, J. Caron, A. Glanville, S. Yeager, W. Kim, A. Tawfik, 2021: Subseasonal prediction with CESM1 and the role of stratospheric variability on subseasonal prediction skill, Weather and Forecasting


    • 49. Kim, H., Caron, J. M., Richter, J. H., & Simpson, I. R. (2020). The lack of QBO‐MJO connection in CMIP6 models. Geophysical Research Letters, 47, e2020GL087295.
    • 48. Jiang X, A. Adames, D. Kim, E. Maloney, H. Lin, H. Kim,C. Zhang, C. DeMott, N. Klingaman, 2020: Fifty Year’s of Research on the Madden-Julian Oscillation: Recent Progress, Challenges, and Perspectives, JGR-Atmos, 125, e2019JD030911.
    • 47. Ahn, M.‐S., Kim, D., Kang, D., Lee, J., Sperber, K. R., Gleckler, P. J., et al., 2020:  MJO propagation across the Maritime Continent: Are CMIP6 models better than CMIP5 models? Geophysical Research Letters, 47, e2020GL087250.
    • 46. Jacox et al. 2020: Seasonal-to-interannual prediction of U.S. coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments, Progress in Oceanography
    • 45. Wang, J., H. Kim*, D. Kim, S. A. Henderson, C. Stan, E. D. Maloney, 2020: MJO teleconnections over the PNA region in climate models.  Part II: Impacts of the MJO and basic state, J. Climate
    • 44. Wang, J., H. Kim*, D. Kim, S. A. Henderson, C. Stan, E. D. Maloney, 2020: MJO teleconnections over the PNA region in climate models.  Part I: Performance- and process-based skill metrics, J. Climate, 10.1175/JCLI-D-19-0253.1


    • 43. Kim, H.,Jadwiga H. Richter, and Zane Martin, 2019: Insignificant QBO-MJO prediction skill relationship in the subseasonal reforecasts,  JGR-Atmos, 124, 12655– 12666.
    • 42. Kim, H., M. A. Janiga, K. Pegion: MJO propagation processes and mean biases in the SubX and S2S reforecasts. JGR-Atmos, 124, 9314– 9331.
    • 41. Zhou, Y.and  H. Kim*, 2019: Impact of Distinct Origin Locations on the Life Cycles of Landfalling Atmospheric Rivers Over the U.S. West Coast.  JGR-Atmos, 124, 11897– 11909.
    • 40. Zheng, C., E. K. M. Chang, H. Kim, M. Zhang, W. Wang, 2019: Subseasonal to seasonal prediction of wintertime Northern Hemisphere extratropical cyclone activity by S2S and NMME models, JGR-Atmos, 124, 12057– 12077.
    • 39. Pegion et al, 2019: The Subseasonal Experiment (SubX): A multi-model subseasonal prediction experiment, Bull. Amer. Meteor. Soc.


    • 38. Kim, H.,F. Vitart, D. E. Waliser,  2018: Prediction of the Madden-Julian Oscillation: A Review,  J. Climate
    • 37. Zhou Y., H. Kim*, B. Guan,  2018: The Atmospheric Rivers Life Cycles- Identification and Climatological Characteristics , JGR-Atmos, 123,12715–12725,
    • 36. Wang, J., H. M. Kim*, E. K. M. Chang,  2018: Interannual Modulation of Northern Hemisphere Winter Storm Tracks by the QBO,  Geophys Res. Lett. DOI: 10.1002/2017GL076929
    • 35. Wang, B., J. Li, M. A. Cane, J. Liu, P. J. Webster, B. Xiang, H. M. Kim, et al, 2018: Towards predicting changes in the land monsoon rainfall a decade in advance,  J. Climate.
    • 34. Wang, J., H. M. Kim*, E. K. M. Chang, S. W. Son,  2018: Modulation of the MJO and North Pacific Storm Track relationship by the QBO, JGR-Atmospheres, 123, 3976–3992
    • 33. Zheng, C., E. K. M. Chang,  H. M. Kim, M. Zhang, W. Wang, 2018: Impacts of the Madden-Julian oscillation on storm track activity, surface air temperature, and precipitation over North America, J. Climate,
    • 32. Seo, E., M. Lee, J. Jeong; R. D. Koster, S. D. Schubert; H. M. Kimet al.,  2018: Impact of soil moisture initialization on boreal summer subseasonal forecasts: mid-latitude surface air temperature and heat wave events, Climate Dynamics,


    • 31. Kim, H. M., 2017: The impact of the mean moisture bias on the key physics of MJO propagation in the ECMWF reforecast, JGR-Atmospheres, 122, 7772–7784
    • 30. Kim, H. M. and B. M. Kim, 2017: Relative contributions of atmospheric energy transport and sea-ice loss to the recent warm Arctic winter,  J. Climate, 30, 7441–7450
    • 29. Kim, H. M., Y. Zhou and M. A. Alexander,  2017: Changes in atmospheric rivers and moisture transport over the Northeast Pacific and western North America in response to ENSO diversity,  Climate Dynamics, DOI: 10.1007/s00382-017-3598-9
    • 28. Zhou, Y.and  H. M. Kim*, 2017: Prediction of atmospheric rivers over the North Pacific and its connection to ENSO in the North American Multi-Model Ensembles (NMME),  Climate Dynamics, DOI: 10.1007/s00382-017-3973-6
    • 27. Wang, J., H. M. Kim*, and E. K. M. Chang:  2017: Changes in Northern Hemisphere winter storm tracks under the background of Arctic amplification,  J. Climate, 30, 3705-3724
    • 26. Kim, O., H. M. Kim,M. I. Lee,  2017: Dynamical-statistical seasonal prediction for western North Pacific typhoons based on APCC multi-models,  Climate Dynamics, 48, 71-88.


    • 25. Kim, H. M.,D. Kim, F. Vitart and V. E. Toma, J. S. Kug, P. J. Webster,  2016: MJO propagation across the Maritime Continent in the ECMWF ensemble prediction system,  J. Climate, DOI: 10.1175/JCLI-D-15-0862.1
    • 24. Liu, P. Q. Zhang, C. Zhang, Y. Zhu, M. Khairoutdinov, H. M. Kim, C. Schumacher, M. Zhang, 2016: A Revised Real-Time Multivariate MJO Index,  Monthly Weather Review, 114, 627-642
    • 23. Choi, J., S. W. Son, Y. G. Ham, J. Y. Lee, and  H. MKim,  2016: Seasonal to interannual predictability of surface air temperature in the CMIP5 decadal hindcast experiments,  J. Climate. 29, 1511–1527


    • 22. Xu, H., H. M.  Kim, J. Nye, and S. Hameed,  2015: Impacts of North Atlantic Oscillation on Sea Surface Temperature in the Northeast US Continental Shelf,  Continental Shelf Research, 106, 60-66.
    • 21. Thorne, L. H.,E. L. Hazen, S.J. Bograd, D.G. Foley, M.G. Conners, M.A. Kappes,  H.M. Kim, Y. Tremblay, D.P. Costa, and S.A. Shaffer,  2015: Sympatric North Pacific albatross species show contrasting responses to climate variability , Movement Ecology 3:27, DOI: 10.1186/s40462-015-0050
    • 20. Yoo, C., S. Park, D. Kim, J. H. Yoon,and  H. MKim, 2015: Boreal winter MJO teleconnection in the Community Atmosphere Model version 5 with the Unified Convection parameterization,  J. Climate, 28, 8135-8150
    • 19. Kim, H. M. and M. Alexander, 2015: ENSO’s Modulation of Water Vapor Transport over the Pacific North America Region,  J. Climate, 28, 3846–3856
    • 18. Kim, H. M. E. K. Chang, M. Zhang, 2015: Statistical-dynamical seasonal forecast for tropical cyclones affecting New York State,  Weather and Forecasting, 30, 295–307.


    • 17. Kim, H. M.,Y. G. Ham, A. A. Scaife,  2014: Improvement of initialized decadal predictions over the North Pacific Ocean by systematic anomaly pattern correction , J. Climate, 27 (13), 5148-5162.
    • 16. Kim, H. M.,P. J. Webster, V. E. Toma, and D. Kim,  2014: Predictability and prediction skill of the MJO in two operational forecasting systems , J. Climate, 27 (14), 5364-5378.
    • 15. Kang, D., M. I Lee, J. Im, D. Kim, H. M. Kim, H. S. Kang, S. D. Schubert, A. Arribas, and C. MacLachlan,  2014: Prediction of the Arctic Oscillation in Boreal Winter by Dynamical Seasonal Forecasting Systems.  Geophys. Res. Lett., 41, 3577-3585
    • 14. Kim, D., Lee, M.-I., H. M. Kim, Schubert, S. D. and Yoo, J. H.,  2014: The modulation of tropical storm activity in the Western North Pacific by the Madden–Julian Oscillation in GEOS-5 AGCM experiments. Atmos. Sci. Lett., 15: 335–341. doi:10.1002/asl2.509
    • 13. Kim, H. M.,M. I. Lee, P. J. Webster, D. Kim and J. Yoo,  2013: A physical basis for the probabilistic prediction of the accumulated tropical cyclone kinetic energy in the Western North Pacific , J. Climate, 26, 7981–7991.


    • 12. Kim, H. M.,J. Webster and J. A. Curry, 2012: Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts,  Geophys. Res. Lett., 39, L10701, doi:10.1029/2012GL051644
    • 11. Kim, H. M., P. J. Webster, J. A. Curry and V. Toma 2012: Asian summer monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts, Climate  Dynamics, 39 (12), 2975-2991.
    • 10. Kim, H. M.,J. Webster and J. A. Curry,  2012: Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter,  Climate Dynamics, 39 (12), 2957-2973.
    • 9. Kim, H. M., P. J. Webster and Judith A. Curry, 2011: Modulation of North Pacific Tropical Cyclone Activity by the Three Phases of ENSO,  Climate, 24, 1839–1849.
    • 8. Webster, P. J., V. E., Toma and H. M. Kim2011: Were the 2010 Pakistan floods predictable?  Geophys. Res. Lett., 38, L04806, doi:10.1029/2010GL046346.
    • 7. Kim, H. M.and P. J. Webster,  2010: Extended-range seasonal hurricane forecasts for the North Atlantic with a hybrid dynamical-statistical model,  Geophys. Res. Lett., 37, L21705
    • 6. Kim, H. M., P. J. Webster, C. D. Hoyos, and I. S. Kang, 2010: Ocean-atmosphere coupling and the boreal winter MJO. Climate Dynamics, 35, 5, 771-784.
    • 5. Kang, I. S. and  H. M. Kim2010: Assessment of MJO predictability for boreal winter with various statistical and dynamical models.  J. Climate, 23, 2368-2378.
    • 4 . Kim, H. M., P. J. Webster, and J. A. Curry, 2009: Impact of shifting patterns of Pacific Ocean warming events on North Atlantic Tropical Cyclone.  Science, 325, 77-80.
    • 3 . Kim, H. M.,J. Webster, C. D. Hoyos, and I. S. Kang,  2008: Sensitivity of MJO simulation and predictability to sea surface temperature variability.  J. Climate, 21, 5304-5317.
    • 2 . Kim, H. M. and I. S. Kang, 2008: The impact of ocean-atmosphere coupling on the predictability of boreal summer intraseasonal oscillation.  Climate Dynamics, 31, 859-870.
    • 1 . Kim, H. M., I. S. Kang, B. Wang, and J. Y. Lee, 2008: Interannual variations of the boreal summer intraseasonal variability predicted by ten atmosphere-ocean coupled models.  Climate Dynamics, 30, 485-496.

    Non-referred  articles

    Kim, H. M., F. Vitart, D. E. Waliser,  2018: MJO Prediction: Current status and future challenges, Book chapter in “The Multi-Scale Global Monsoon System”, IMW-VI

    Kim, H. M and  Y. Zhou2016: Prediction of Atmospheric Rivers associated with modes of S2S variability,  US CLIVAR Variation, Vol.14 (Fall), pages 24-30

    Kim. H. M., and coauthors  2014: Chapter 5.3: Beyond synoptic timescale (Intraseasonal timescales),  8 th International workshop on tropical cyclone , WMO

    Kim, H. M., P. J. Webster and J. A. Curry,  2013: Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts,  U.S. CLIVAR Variations., Vol.11 (Spring), pages 7-8.

  • Links