S
Seong-Joong Kim
Researcher at Korean Ocean Research and Development Institute
Publications - 125
Citations - 4837
Seong-Joong Kim is an academic researcher from Korean Ocean Research and Development Institute. The author has contributed to research in topics: Sea ice & Arctic ice pack. The author has an hindex of 29, co-authored 111 publications receiving 3953 citations. Previous affiliations of Seong-Joong Kim include University of Victoria & Duke University.
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Weakening of the stratospheric polar vortex by Arctic sea-ice loss
Baek-Min Kim,Seok-Woo Son,Seung-Ki Min,Jee-Hoon Jeong,Seong-Joong Kim,Xiangdong Zhang,Taehyoun Shim,Jin-Ho Yoon +7 more
TL;DR: It is found that decreased sea-ice cover during early winter months (November-December), especially over the Barents-Kara seas, enhances the upward propagation of planetary-scale waves with wavenumbers of 1 and 2, subsequently weakening the stratospheric polar vortex in mid-winter (January-February).
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The Melting Arctic and Midlatitude Weather Patterns: Are They Connected?*
TL;DR: The potential of recent Arctic changes to influence hemispheric weather is a complex and controversial topic with considerable uncertainty, as time series of potential linkages are short (<10 yr) and understanding involves the relative contribution of direct forcing by Arctic changes on a chaotic climatic system as discussed by the authors.
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Nonlinear response of mid-latitude weather to the changing Arctic
James E. Overland,Klaus Dethloff,Jennifer A. Francis,Richard Hall,Edward Hanna,Seong-Joong Kim,James A. Screen,Theodore G. Shepherd,Timo Vihma +8 more
TL;DR: In this paper, the authors present a way forward based on understanding multiple processes that lead to uncertainties in Arctic and mid-latitude weather and climate linkages, and emphasize community coordination for both scientific progress and communication to a broader public.
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A coupled climate model simulation of the Last Glacial Maximum, Part 2: approach to equilibrium
TL;DR: In this article, the climate of the last glacial maximum (LGM) is simulated with a coupled climate model and the results obtained with an atmosphere-mixed layer ocean version of the model in order to investigate the role of ocean dynamics in the LGM climate.