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28 results on '"Kim, Soong-Ki"'

22. ENSO skewness hysteresis and associated changes in strong El Niño under a CO2 removal scenario.

Author

Liu, Chao, An, Soon-Il, Jin, Fei-Fei, Stuecker, Malte F., Zhang, Wenjun, Kug, Jong-Seong, Yuan, Xinyi, Shin, Jongsoo, Xue, Aoyun, Geng, Xin, and Kim, Soong-Ki

Subjects
EL Nino, INTERTROPICAL convergence zone, OCEAN temperature, SOUTHERN oscillation, CLIMATE change, HYSTERESIS
Abstract

El Niño-Southern Oscillation (ENSO) sea surface temperature (SST) anomaly skewness encapsulates the nonlinear processes of strong ENSO events and affects future climate projections. Yet, its response to CO2 forcing remains not well understood. Here, we find ENSO skewness hysteresis in a large ensemble CO2 removal simulation. The positive SST skewness in the central-to-eastern tropical Pacific gradually weakens (most pronounced near the dateline) in response to increasing CO2, but weakens even further once CO2 is ramped down. Further analyses reveal that hysteresis of the Intertropical Convergence Zone migration leads to more active and farther eastward-located strong eastern Pacific El Niño events, thus decreasing central Pacific ENSO skewness by reducing the amplitude of the central Pacific positive SST anomalies and increasing the scaling effect of the eastern Pacific skewness denominator, i.e., ENSO intensity, respectively. The reduction of eastern Pacific El Niño maximum intensity, which is constrained by the SST zonal gradient of the projected background El Niño-like warming pattern, also contributes to a reduction of eastern Pacific SST skewness around the CO2 peak phase. This study highlights the divergent responses of different strong El Niño regimes in response to climate change. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Analysis of the effect of initial conditions on the initial development of a turbulent jet

Author

Kim, Soong KI, Chung, Myung Kyoon, and Cho, Ji Ryong

Subjects
Fluid Mechanics And Heat Transfer
Abstract

The effect of the initial condition at the jet exit on the downstream evolution, particularly within the potential core length, were numerically investigated as well as with available experimental data. In order to select the most dependable computational model for the present numerical experiment, a comparative study has been performed with different turbulence models at k-epsilon level, and it was found that the k-epsilon-gammma model yields superior prediction accuracy over other conventional models. The calculated results show that the potential core length and the spreading rate the initial mixing layer are dependent on the initial length scale as well as the turbulent kinetic energy at the jet exit. Such effect of the initial length scale increases with higher initial turbulence level. An empirical parameter has been devised to collapse the calculated data of the potential core length and the spreading rate with various initial conditions onto a single curve.

Published
1992

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