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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.

atmosdyn 2022.04.04 16:54 조회 수 : 246

Lee, D. B., Chun, H. Y., Kim, S. H., Sharman, R. D., & Kim, J. H. (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.

 

Lee_et_al_2022_WF.pdf

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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
» 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
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108 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
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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
95 Kang, M.-J., H.-Y. Chun, and B.-G. Song, 2020: Contributions of Convective and Orographic Gravity Waves to the Brewer-Dobson Circulation Estimated from NCEP CFSR, J. Atmos. Sci, 77, 981-1000. file
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