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Lab for Atmospheric Dynamics

International Journal

Kim, S. H., Chun, H. Y., Lee, D. B., Kim, J. H., & Sharman, R. D. (2021). Improving Numerical Weather Prediction–Based Near-Cloud Aviation Turbulence Forecasts by Diagnosing Convective Gravity Wave Breaking. Weather and Forecasting36(5), 1735-1757.

 

Kim et al. (2021, WF).pdf

번호 제목
115 Bushell et al. Evaluation of the Quasi-Biennial Oscillation in global climate models for the SPARC QBO-initiative. QJR Meteorol Soc. 2022;148:1459–1489. file
114 Anstey et al. Teleconnections of the Quasi-Biennial Oscillation in a multi-model ensemble of QBO-resolving models. Q.J.R. Meteorol. Soc. 2022;148:1568–1592. file
113 Kim, S. H., Kim, J., Kim, J. H., and Chun, H. Y. (2022). Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data. Atmos. Meas. Tech., 15, 2277–2298 file
112 Lee et al. (2022). Development and Evaluation of Global Korean Aviation Turbulence Forecast Systems Based on an Operational Numerical Weather Prediction Model and In Situ Flight Turbulence Observation Data. Weather and Forecasting, 37(3), 371-392. file
111 Park, J. R., Kim, J. H., Shin, Y., Kim, S. H., Chun, H. Y., Jang, W., ... & Lee, G. (2022). A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018. Atmospheric Research, 272, 106158. file
110 Shin, Y., Kim, J. H., Chun, H. Y., Jang, W., & Son, S. W. (2021). Classification of Synoptic Patterns with Mesoscale Mechanisms for Downslope Windstorms in Korea using a Self‐Organizing Map. Journal of Geophysical Research: Atmospheres. file
109 Ko, H. C. and Chun, H. Y. (2022). Potential sources of atmospheric turbulence estimated using the Thorpe method and operational radiosonde data in the United States. Atmospheric Research, 265, 105891. file
» Kim, S. H., Chun, H. Y., Lee, D. B., Kim, J. H., & Sharman, R. D. (2021). Improving Numerical Weather Prediction–Based Near-Cloud Aviation Turbulence Forecasts by Diagnosing Convective Gravity Wave Breaking. Weather and Forecasting, 36(5), 1735-1 file
107 Kang and Chun (2021). Contributions of equatorial waves and small-scale convective gravity waves to the 2019/20 QBO disruption, ACP, 9839-9857. file
106 Song et al. (2021). Activities of Small‐Scale Gravity Waves in the Upper Mesosphere Observed from Meteor Radar at King Sejong Station, Antarctica (62.22° S, 58.78° W) and Their Potential Sources. JGR: Atmos, e2021JD034528. file
105 Kim et al. (2021). Toward transient subgrid-scale gravity wave representation in atmospheric models. Part II: Wave intermittency simulated with convective sources. Journal of the Atmospheric Sciences, 78(4), 1339-1357. file
104 Kim et al. (2010). Seasonal variations of mesospheric gravity waves observed with an airglow all-sky camera at Mt. Bohyun, Korea (36 N). Journal of Astronomy and Space Sciences, 27(3), 181-188. file
103 Kalisch, S. and Chun, H.-Y. (2021). AIRS satellite observations of gravity waves during the 2009 sudden stratospheric warming event. Journal of Geophysical Research: Atmospheres, 126, e2020JD034073. file
102 Kang, M.-J., H.-Y. Chun, and R. R. Garcia, 2020: Role of equatorial waves and convective gravity waves in the 2015/16 quasi-biennial oscillation disruption. Atmos. Chem. Phys., 20, 14669–14693. file
101 Song, B.-G., H.-Y. Chun, and I.-S. Song, 2020: Role of Gravity Waves in a Vortex-Split Sudden Stratospheric Warming in January 2009. J. Atmos. Sci., 77(10), 3321-3342. file
100 Kim, J.-H., D.H. Kim, D.-B. Lee, H.-Y. Chun, R. D. Sharman, P. D. Williams, and Y.-J. Kim, 2020: Impact of climate variabilities on trans-oceanic flight times and emissions during strong NAO and ENSO phases. Environ. Res. Lett. file
99 Song, I.-S., Lee, C., Chun, H.-Y., Kim, J.-H., Jee, G., Song, B.-G., and Bacmeister, J. T. (2020): Propagation of gravity waves and its effects on pseudomomentum flux in a sudden stratospheric warming event, Atmos. Chem. Phys., 20, 7617–7644. file
98 Yoo et al., 2020: Inertia‐Gravity Waves Revealed in Radiosonde Data at Jang Bogo Station, Antarctica (74° 37'S, 164° 13'E): 2. Potential Sources and Their Relation to Inertia‐Gravity Waves. JGR: Atmospheres, 125(7) file
97 Kim, S.-H., H.-Y. Chun, J.-H. Kim, R. D. Sharman, and M. Strahan, 2020: Retrieval of eddy dissipation rate from derived equivalent vertical gust included in Aircraft Meteorological Data Relay (AMDAR). Atmos. Meas. Tech., 13, 1373-1385. file
96 Lee, D.-B., H.-Y. Chun, and J.-H. Kim, 2020: Evaluation of Multi-Model-Based Ensemble Forecasts for Clear-Air Turbulence. Wea. Forecasting, 35, 507-521. file
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