Office: Endeavour Hall 119
- School of Earth and Environmental Sciences, Seoul National University, South Korea
low frequency climate variability, tropical meteorology, ocean-atmosphere interaction, prediction and predictability, tropical cyclone activity, extreme events
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:  Prediction and predictability of climate variability from subseasonal to decadal timescales,  Tropical-extratropical interaction,  extreme events such as atmospheric rivers, storm track, tropical cyclones, and  machine learning for S2S prediction.
- 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. https://doi.org/10.1029/2020GL087295
- 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. https://doi.org/10.1029/2019JD030911
- 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. https://doi.org/10.1029/2020GL087250
- 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 https://doi.org/10.1175/JCLI-D-19-0865.1
- 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. https://doi.org/10.1175/BAMS-D-18-0270.1
- 38. Kim, H.,F. Vitart, D. E. Waliser, 2018: Prediction of the Madden-Julian Oscillation: A Review, J. Climate, https://doi.org/10.1175/JCLI-D-18-0210.1
- 37. Zhou Y., H. Kim*, B. Guan, 2018: The Atmospheric Rivers Life Cycles- Identification and Climatological Characteristics , JGR-Atmos, 123,12715–12725, https://doi.org/10.1029/2018JD029180
- 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, https://doi.org/10.1175/JCLI-D-17-0534.1
- 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, https://doi.org/10.1007/s00382-018-4221-4
- 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. M. Kim, 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. M. Kim, 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. Kim, 2011: 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. Kim, 2010: 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.
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. Zhou, 2016: 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.