| Impact of shifting patterns of Pacific Ocean warming on North Atlantic tropical cyclones HM Kim, PJ Webster, JA Curry Science 325 (5936), 77-80, 2009 | 415 | 2009 |
| Were the 2010 Pakistan floods predictable? PJ Webster, VE Toma, HM Kim Geophysical research letters 38 (4), 2011 | 309 | 2011 |
| Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter HM Kim, PJ Webster, JA Curry Climate Dynamics 39 (12), 2957-2973, 2012 | 275 | 2012 |
| Evaluation of short‐term climate change prediction in multi‐model CMIP5 decadal hindcasts HM Kim, PJ Webster, JA Curry Geophysical Research Letters 39 (10), 2012 | 259 | 2012 |
| Modulation of North Pacific tropical cyclone activity by three phases of ENSO HM Kim, PJ Webster, JA Curry Journal of Climate 24 (6), 1839-1849, 2011 | 258 | 2011 |
| The Subseasonal Experiment (SubX): A multimodel subseasonal prediction experiment K Pegion, BP Kirtman, E Becker, DC Collins, E LaJoie, R Burgman, R Bell, ... Bulletin of the American Meteorological Society 100 (10), 2043-2060, 2019 | 247 | 2019 |
| Prediction of the Madden–Julian oscillation: A review H Kim, F Vitart, DE Waliser Journal of Climate 31 (23), 9425-9443, 2018 | 180 | 2018 |
| Predictability and prediction skill of the MJO in two operational forecasting systems HM Kim, PJ Webster, VE Toma, D Kim Journal of Climate 27 (14), 5364-5378, 2014 | 166 | 2014 |
| Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives X Jiang, ÁF Adames, D Kim, ED Maloney, H Lin, H Kim, C Zhang, ... Journal of Geophysical Research: Atmospheres 125 (17), e2019JD030911, 2020 | 162 | 2020 |
| Initialized Earth System prediction from subseasonal to decadal timescales GA Meehl, JH Richter, H Teng, A Capotondi, K Cobb, F Doblas-Reyes, ... Nature Reviews Earth & Environment 2 (5), 340-357, 2021 | 149 | 2021 |
| Asian summer monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts HM Kim, PJ Webster, JA Curry, VE Toma Climate Dynamics 39, 2975-2991, 2012 | 121 | 2012 |
| MJO propagation across the Maritime Continent: Are CMIP6 models better than CMIP5 models? MS Ahn, D Kim, D Kang, J Lee, KR Sperber, PJ Gleckler, X Jiang, ... Geophysical Research Letters 47 (11), e2020GL087250, 2020 | 106 | 2020 |
| Assessment of MJO predictability for boreal winter with various statistical and dynamical models IS Kang, HM Kim Journal of Climate 23 (9), 2368-2378, 2010 | 96 | 2010 |
| MJO propagation across the Maritime Continent in the ECMWF ensemble prediction system HM Kim, D Kim, F Vitart, VE Toma, JS Kug, PJ Webster Journal of Climate 29 (11), 3973-3988, 2016 | 89 | 2016 |
| Changes in atmospheric rivers and moisture transport over the Northeast Pacific and western North America in response to ENSO diversity HM Kim, Y Zhou, MA Alexander Climate Dynamics 52 (12), 7375-7388, 2019 | 87 | 2019 |
| Seasonal-to-interannual prediction of North American coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments MG Jacox, MA Alexander, S Siedlecki, K Chen, YO Kwon, S Brodie, I Ortiz, ... Progress in Oceanography 183, 102307, 2020 | 72 | 2020 |
| The influence of the quasi-biennial oscillation on the Madden–Julian oscillation Z Martin, SW Son, A Butler, H Hendon, H Kim, A Sobel, S Yoden, C Zhang Nature Reviews Earth & Environment 2 (7), 477-489, 2021 | 70 | 2021 |
| Changes in Northern Hemisphere winter storm tracks under the background of Arctic amplification J Wang, HM Kim, EKM Chang Journal of Climate 30 (10), 3705-3724, 2017 | 70 | 2017 |
| Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems D Kang, MI Lee, J Im, D Kim, HM Kim, HS Kang, SD Schubert, A Arribas, ... Geophysical Research Letters 41 (10), 3577-3585, 2014 | 70 | 2014 |
| Toward predicting changes in the land monsoon rainfall a decade in advance B Wang, J Li, MA Cane, J Liu, PJ Webster, B Xiang, HM Kim, J Cao, KJ Ha Journal of Climate 31 (7), 2699-2714, 2018 | 69 | 2018 |
Peter J WebsterSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA在 eas.gatech.edu 的电子邮件经过验证
