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Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim, Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network, Ultrasonics, vol. 136(2024).

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J. W. Nam, H. -J. Jeon, J. E. Lee, O. -J. Lee and H. G. Lim, Quantification of Dysnatremia Using Single-Beam Acoustic Microbeam and Convolutional Neural Networks, IEEE Sensors Journal, vol. 24(7), pp. 9626-9638(2024).

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Song, HJ., Lee, S., The Predictability of a Heavy Rainfall Event during the Summer of 2022 Using an All-sky Radiance Assimilation Experiment. Asia-Pac J Atmos Sci (2024).

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Jeon H-J, Jeon H-J, Jeon SH, Predicting the daily number of patients for allergic diseases using PM10 concentration based on spatiotemporal graph convolutional networks. PLoS ONE 19(6): e0304106(2024).

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Baek S, Kim J., Subgrid-Scale Topographic Effects on Radiation for Global Weather Forecast Models, Atmosphere, vol. 15(4):479(2024).

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Zhang, Y., Pan, Y., Xue, Y. et al., Correction to: Near‑global summer circulation response to the spring surface temperature anomaly in Tibetan Plateau –– the GEWEX/LS4P first phase experiment, Clim Dyn (2024).

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Kwon, Y., Jun, S., Kim,E., Seol, K.H., Hong, S., Kwon, I.H. et al. (2024)Improving weather forecast skill of the KoreanIntegrated Model by assimilating Soil MoistureActive Passive soil moisture anomalies. QuarterlyJournal of the Royal Meteorological Society, 150(765),5305–5336.

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Sung, Y., Jeon, HJ., Kim, D. et al. Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks. npj Clean Water 7, 63 (2024).

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Hyeon-Ju Jeon et al 2024 Mach. Learn.: Sci. Technol. 5 045036

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Jung, J., M. Chang, E. Lee, and M. Sung, 2024: Verification of Tropical Cyclogenesis Forecasts of the Korean Integrated Model for 2020–21. Wea. Forecasting, 39, 1247–1259.

12.

Kim, SY. Impact of Cloud Vertical Overlap on Cloud Radiative Effect in the Korean Integrated Model (KIM) Seasonal Simulations during Boreal Summer and Winter. Asia-Pac J Atmos Sci 60, 759–772 (2024).

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Gim, H.‐J., & Park, S. K. (2024). Analyticparameterization of longwave opticalproperties of bulk vegetation layerpermitting non‐zero leaf reflectivity and itsimplementation in CLM5. Journal ofAdvances in Modeling Earth Systems, 16,e2023MS003957.

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Hoang, V.T., Jeon, H.-J., You, E.-S., Yoon, Y., Jung, S., Lee, O.-J., Graph Representation Learning and Its Applications: A Survey, Sensors 2023, 23, 4168(2023).

2.

G. W. Inverarity, W. J. Tennant, L. Anton, N. E. Bowler, A. M. Clayton, M. Jardak, A. C. Lorenc, F. Rawlins, S. A. Thompson, M. S. Thurlow, D. N. Walters, M. A. Wlasak. (2023). Met Office MOGREPS-G initialisation using an ensemble of hybrid four-dimensional ensemble variational (En-4DEnVar) data assimilations, Quarterly Journal of the Royal Meteorological Society, Volume149, Issue753, April 2023 Part B, 1138-1164.

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Milan, M., Clayton, A., Lorenc, A., Macpherson, B., Tubbs, R. & Dow, G. (2023) Large-scale blending in an hourly 4D-Var framework for a numerical weather prediction model. Quarterly Journal of the Royal Meteorological Society, 149(755), 2067–2090.

4.

Kang, E.-J., Sohn, B.-J., Tonboe, R.T., Noh, Y.-C., Kwon, I.-H., Kim, S.-W. et al. (2023) Explicitly determined sea ice emissivity and emission temperature over the Arctic for surface-sensitive microwave channels. Quarterly Journal of the Royal Meteorological Society, 149(754), 2011–2030.

5.

Jeon, H.-J., & Jung, J. J. (2023). Discovering the role model of authors by embedding research history. Journal of Information Science, 49(4), 990-1006.

6.

Cho, E., Kwon, Y., Kumar, S. V., and Vuyovich, C. M.: Assimilation of airborne gamma observations provides utility for snow estimation in forested environments, Hydrol. Earth Syst. Sci., 27, 4039–4056, 2023.

7.

Oh, SG., Han, JY., Min, SK. et al. Impact of urban heat island on daily and sub-daily monsoon rainfall variabilities in East Asian megacities. Clim Dyn 61, 19–32 (2023).

8.

Xue, Y., Diallo, I., Boone, A.A. et al. Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the GEWEX/LS4P Phase I experiment. Clim Dyn (2023).

9.

Han, JY., Kim, SW., Park, CH. et al. Ensemble size versus bias correction effects in subseasonal-to-seasonal (S2S) forecasts. Geosci. Lett. 10, 37 (2023).

10.

Madhulatha, A.; Dudhia, J.; Park, R.-S.; Bhan, S.C.; Mohapatra, M. Effect of Single and Double Moment Microphysics Schemes and Change in Cloud Condensation Nuclei, Latent Heating Rate Structure Associated with Severe Convective System over Korean Peninsula. Atmosphere 2023, 14, 1680.

11.

Lee, W.Y., Gim, HJ. & Park, S.K. Parameterizations of Snow Cover, Snow Albedo and Snow Density in Land Surface Models: A Comparative Review. Asia-Pac J Atmos Sci (2023).

1.

Cho, K.-H., Lee, E.-H., & Kim, B.-M. (2023). A Study of the Blocking and Ridge over the Western North Pacific in Winter and its Impact on Cold Surge on the Korean Peninsula. Atmosphere, 33(1), 49–59.

2.

Lee, W.-J., Park, R.-S., Kwon, I.-H., & Kim, J. (2023). Numerical Weather Prediction and Forecast Application. Atmosphere, 33(2), 73–104.

3.

Park, R.-S.; Hong, S.-Y. Cloudiness Parameterization for Use in Atmospheric Models: A Review and New Perspectives. Meteorology 2023, 2, 295–306.

4.

Nam, H., & Choi, S.-J. (2023). The Improvement of Computational Efficiency in KIM by an Adaptive Time-step Algorithm. Atmosphere, 33(4), 331–341.

5.

Kim, B.-S., Koo, M.-S., & Son, S.-W. (2023). Evaluation of Accuracy and Efficiency of Double Fourier Series (DFS) Spectral Dynamical Core. Atmosphere, 33(4), 387–398.

6.

An, S., Lee, J., Jang, J., Na, I., Park, W., & You, S. (2023). Self-supervised Pre-training for Precipitation Post-processor. arXiv preprint arXiv:2310.20187.

1.

Kim, J.-H.; Park, J.-R.; Kim, S.-H.; Kim, J.; Lee, E.; Baek, S.; Lee, G. A Detection of Convectively Induced Turbulence Using In Situ Aircraft and Radar Spectral Width Data. Remote Sens. 2021, 13, 726.

2.

Han, K.M.; Jung, C.H.; Park, R.-S.; Park, S.-Y.; Lee, S.; Kulmala, M.; Petäjä, T.; Karasi ´nski, G.; Sobolewski, P.; Yoon, Y.J.; et al. Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic. Appl. Sci. 2021, 11, 1959.

3.

Lee, E.; Kim, J.-H.; Heo, K.-Y.; Cho, Y.-K. Advection Fog over the Eastern Yellow Sea: WRF Simulation and Its Verification by Satellite and In Situ Observations. Remote Sens. 2021, 13, 1480.

4.

Kim, J.-E. E., Koo, M.-S., Yoo, C., & Hong, S.-Y. (2021). Seasonal performance of a nonhydrostatic global atmospheric model on a cubed-sphere grid. Earth and Space Science, 8, e2021EA001643.

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Madhulatha, A., Choi, S.-J., Han, J.-Y., & Hong, S.-Y. (2021). Impact of different nesting methods on the simulation of a severe convective event over South Korea using the Weather Research and Forecasting model. Journal of Geophysical Research: Atmospheres, 126, e2020JD033084.

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Xue, Y., Yao, T., Boone, A. A., Diallo, I., Liu, Y., Zeng, X., Lau, W. K. M., Sugimoto, S., Tang, Q., Pan, X., van Oevelen, P. J., Klocke, D., Koo, M.-S., Sato, T., Lin, Z., Takaya, Y., Ardilouze, C., Materia, S., Saha, S. K., Senan, R., Nakamura, T., Wang, H., Yang, J., Zhang, H., Zhao, M., Liang, X.-Z., Neelin, J. D., Vitart, F., Li, X., Zhao, P., Shi, C., Guo, W., Tang, J., Yu, M., Qian, Y., Shen, S. S. P., Zhang, Y., Yang, K., Leung, R., Qiu, Y., Peano, D., Qi, X., Zhan, Y., Brunke, M. A., Chou, S. C., Ek, M., Fan, T., Guan, H., Lin, H., Liang, S., Wei, H., Xie, S., Xu, H., Li, W., Shi, X., Nobre, P., Pan, Y., Qin, Y., Dozier, J., Ferguson, C. R., Balsamo, G., Bao, Q., Feng, J., Hong, J., Hong, S., Huang, H., Ji, D., Ji, Z., Kang, S., Lin, Y., Liu, W., Muncaster, R., de Rosnay, P., Takahashi, H. G., Wang, G., Wang, S., Wang, W., Zhou, X., and Zhu, Y.: Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design, Geosci. Model Dev., 14, 4465–4494, 2021.

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Park, S.-B.; Han, J.-Y. Suppressing Grid-Point Storms in a Numerical Forecasting Model. Atmosphere 2021, 12, 1194.

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Yeh, Sang-Wook; Lee, Eun-Hye; Min, Seung-Ki; Lee, Yong-Han; Park, In-Hong; Hong, Jin-Sil. (2021). Contrasting factors on the trends in hot days and warm nights over Northern Hemisphere land during summer. Weather and Climate Extremes. 34. 100389.

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Choi, Suk-Jin, and Joseph B. Klemp. A New Hybrid Sigma-Pressure Vertical Coordinate with Smoothed Coordinate Surfaces. Monthly Weather Review 149.12 (2021): 4077-4089.

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Tang, S., Xie, S., Guo, Z., Hong, S.-Y., Khouider, B., Klocke, D., et al. (2022) Long-term single-column model intercomparison of diurnal cycle of precipitation over midlatitude and tropical land. Q J R Meteorol Soc, 641– 669.

1.

Shin H, Ahn M-H, KIM J, Lee S, Lee B-I. Comparison of Wind Vectors Derived from GK2A with Aeolus/ALADIN. Korean Journal of Remote Sensing [Internet]. 2021 Dec 31;37(6_1):1631–45.

2.

Hwang Y, Ha J-H, Kim C, Choi D, Lee YH. Observing System Experiment Based on the Korean Integrated Model for Upper Air Sounding Data in the Seoul Capital Area during 2020 Intensive Observation Period. Atmosphere, vol.31, no.3(2021), pp.311–326.

3.

An, et al., "Neural network emulator optimizer: A preliminary study on korean microphysicis parameterization model.", Proceedings of the 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), CEUR Workshop Proceedings, Da Nang, Vietnam, Oct 2021.

1.

Jung-Eun Esther Kim, Myung-Seo Koo, Changhyun Yoo, and Song-You Hong, 2021: Seasonal performance of a non-hydrostatic global atmospheric model on a cubed-sphere grid, Earth and Space Science, 8 (4), e2021EA001643

2.

A. Madhulatha, Suk-Jin Choi, Ji-Young Han, and Song-You Hong, 2021: Impact of different nesting methods on the simulation of a severe convective event over South Korea using the Weather Research and Forecasting Model, 126(5), Journal of Geophysical Research: Atmospheres, e2020JD033084

1.

Choi, I.-J., R.-S. Park, and J. Lee, 2019: Impacts of a newly-developed aerosol climatology on numerical weather prediction using a global atmospheric forecasting model, Atmospheric Environment.

2.

Bae, S. Y. and R.-S. Park, 2019: Consistency between the cloud and radiation processes in a numerical forecasting model, Meteorology and Atmospheric Physics.

3.

Bae, S. Y., S.-Y. Hong, and W.-K. Tao, 2019: Development of a single-moment cloud microphysics scheme with prognostic hail for the Weather Research and Forecasting (WRF) model, Asia-Pacific Journal of Atmospheric Sciences.

4.

Lee, J., E.-H. Lee, and K.-H. Seol, 2019: Validation of Integrated Multisatellite Retrievals for GPM (IMERG) by using gauge-based analysis products of daily precipitation over East Asia, Theoretical and Applied Climatology.

5.

Song, H.-J. and J.-H. Kang, 2019: Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid-4DEnVar, Quarterly Journal of the Royal Meteorological Society.

6.

Shin, S., J.-S. Kang, S.-C. Yang, and E. Kalnay, 2019: Ensemble singular vectors as additive inflation in the Local Ensemble Transform Kalman Filter (LETKF) framework with a global NWP model, Quarterly Journal of the Royal Meteorological Society.

7.

Kim, S.-Y., S. Y. Bae, R.-S. Park, and S.-Y. Hong, 2019: Effects of partial cloudiness in a cloud microphysics scheme on simulated precipitation processes during a boreal summer, Journal of Geophysical Research: Atmospheres.

8.

Lee, E. and S.-Y. Hong, 2019: Impact of the sea surface salinity on simulated precipitation in a global numerical weather prediction model, Journal of Geophysical Research: Atmospheres.

9.

Song, H.-J., 2019: Extended representation of wind-mass correlation by ensemble forecasting for data assimilation, Quarterly Journal of the Royal Meteorological Society.

10.

Han, J.-Y., S.-Y. Kim, I.-J. Choi, and E. K. Jin, 2019: Effects of the convective triggering process in a cumulus parameterization scheme on the diurnal variation of precipitation over East Asia, Atmosphere.

11.

Kim, K.-H., P.-S. Shim, and S. Shin, 2019: An alternative bilinear interpolation method between spherical grids, Atmosphere.

12.

Park, J. R. and S.-J. Choi, 2019: Verification of the time-split method for higher-order diffusion in the spectral element method model on a cubed-sphere grid, Asia-Pacific Journal of Atmospheric Sciences.

13.

Kang, J.-Y., S. Y. Bae, R.-S. Park, and J.-Y. Han, 2019: Aerosol indirect effects on the predicted precipitation in a global weather forecasting model, Atmosphere.

14.

Yi, T.-H. and F. X. Giraldo, 2019: Vertical discretization for a nonhydrostatic atmospheric model based on high-order spectral elements, Monthly Weather Review.

15.

Lee, E., E.-H. Lee, and I.-J. Choi, 2019: Impact of increased vertical resolution on medium-range forecasts in a global atmospheric model, Monthly Weather Review.

16.

Sung, K., H. K. Lee, and H. Kim, 2019: Pedestrian positioning using a double-stacked particle filter in indoor wireless networks, Sensors.

17.

Kim, S.-Y., S.-Y. Hong, Y. C. Kwon, Y. H. Lee, and D.-E. Kim, 2019: Effects of modified surface roughness length over shallow waters in a regional model simulation, Atmosphere.

18.

Lee, M.-H., J.-H. Kim, H.-J. Song, J. Inoue, K. Sato, and Yamazaki, 2019: Potential benefit of extra radiosonde observations around the Chukchi Sea for the Alaskan short-range weather forecast, Polar Science.

1.

Kwon, I.H., English, S., Bell, W., Potthast, R., Collard, A., and Ruston, B., 2018: Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction. Bulletin of the American Meteorological Society, doi: 10.1175/BAMS-D-17-0266.1, in press.

2.

KIM, K.-H., E.-H. Lee, and S.-Y. Hong, 2018: Potential of Voronoi Diagram for the Conserved Remapping of Precipitation. Monthly Weather Review, 143(7), doi:10.1175/MWR-D-17-0350.1.

3.

Kim, S.-Y., and S.-Y. Hong, 2018: The Use of Partial Cloudiness in a Bulk Cloud Microphysics Scheme: Concept and 2D Results. Journal of the Atmospheric Sciences, 75, 2711-2719, doi:10.1175/JAS-D-17-0234.1.

4.

Ha, J.-H., J.-H. Kang, and S.-J. Choi, 2018: The impact of vertical resolution in the assimlation of GPS Radio Occultationi data. Weather and Forecasting, 33, 1033-1044, doi:10.1175/WAF-D-17-0061.1.

5.

Koo, M.-S., H.-J. Choi, and J.-Y. Han, 2018: A Parameterization of Turbulent-scale and Mesoscale Orographic Drag in a Global Atmospheric Model. Journal of Geophysical Research: Atmospheres, 123, 8400-8417. doi.org/10.1029/2017JD028176.

6.

Yi, T.H., 2018: Time Integration of Unsteady Nonhydrostatic Equations with Dual Time Stepping and Multigrid Methods. Journal of Computational Physics, 374, 873-892, 10.1016/j.jcp.2018.08.003.

7.

Lee, S., and H.-J. Song, 2018: Impacts of LEOGEO Atmospheric Motion Vectors on East Asian Weather Forecasts. Q. J. R. Meteorol. Soc., 1–12, doi:10.1002/qj.3392.

8.

Choi, I.-J., R.-S. Park, and J. Lee, 2019: Impacts of a newly-developed aerosol climatology on numerical weather prediction using a global atmospheric forecasting model. Atmospheric Environment, 197, 77-91.

9.

Han, J.-Y., and S.-Y. Hong, 2018: Precipitation forecast experiments using the Weather Research and Forecasting (WRF) model at gray-zone resolutions. Wea. Forecasting, 33, 1605-1616, doi:10.1175/WAF-D-18-0026.1.

10.

Bae, S.Y., and R.-S. Park, 2018: Consistency between the cloud and radiation processes in a numerical forecasting model. Meteorology and Atmospheric Physics, doi:10.1007/s00703-018-0647-9.

11.

Rae-Seol Park, Jung-Hyo Chae, and Song-You Hong, 2018: Corrigendum to "A revised prognostic cloud fraction scheme in a global forecasting system". Mon. Wea. Rev.,146(11), 3945-3945, doi: 10.1175/MWR-D-18-0209.1.

12.

Park, R.-S. and Y. C. Kwon, 2018: The Implications for radiative cloud forcing via the link between shallow convection and planetary boundary layer mixing, Journal of Geophysical Research: Atmospheres, doi: 10.1029/2018JD028678

13.

Hyo-Jong Song and Jeon Ho Kang, 2018: Effects of the wind-mass balance constraint on ensemble forecasts in the hybrid-4DEnVarQuaterly Journal of the Royal Meteorological Society

14.

Seoleun Shin, Ji-Sun Kang, Shu-Chih Yang, and Eugenia Kalnay, 2018: Ensemble singular vectors as additive inflation in the Local Transform Kalman Filter(LETKF) framework with a global NWP model, Quarterly Journal of Royal Meteorological Society, accepted. https://doi.org/10.1002/qj.3429

15.

Juwon Lee, Eun-Hee Lee, Kyung-Hee Seol, 2018: Validation of Integrated MultisatellitE Retrievals for GPM (IMERG) by using gauge-based analysis products of daily precipitation over East Asia, Theoretical and Applied Climatology, DOI:10.1007/s00704-018-2749-1

1.

Hong, S.-Y., and Coauthors, 2018: The Korean Integrated Model (KIM) System for Global Weather Forecasting. Asia-Pacific Journal of Atmospheric Sciences, 54(s), 267-292, doi:10.1007/s13143-018-0028-9.

2.

Lee, E.-H., E. Lee, R. Park, Y. C. Kwon, and S.-Y. Hong, 2018: Impact of Turbulent Mixing in the Stratocumulus-Topped Boundary Layer on Numerical Weather Prediction. Asia-Pacific Journal of Atmospheric Sciences, 54(s), 371-384, doi:10.1007/s13143-018-0024-0.

3.

Choi, H.-J., J.-Y. Han, M.-S. Koo, H.-Y. Chun, Y.-H. Kim, and S.-Y. Hong, 2018: Effects of non-orographic gravity wave drag on seasonal and medium-range predictions in a global forecast model. Asia-Pacific Journal of Atmospheric Sciences, 54(s), 385-402, doi:10.1007/s13143-018-0023-1.

4.

Kim, J., Y. C. Kwon, and T.-H. Kim, 2018: A Scalable High-Performance I/O System for a Numerical Weather Forecast Model on the Cubed-Sphere Grid. Asia-Pacific Journal of Atmospheric Sciences, 54(s), 403-412, doi:10.1007/s13143-018-0021-3.

5.

Bhattacharya, A., R.-S. Park, and Y. C. Kwon, 2018: Impact of Change in Monsoonal Circulation Due to SST Warming on the North East Asian Monsoon: A Model Analysis Using Satellite Based Sub-Grid Hydrometeors. Asia-Pacific Journal of Atmospheric Sciences, 54(4), 545-561, doi:10.1007/s13143-018-0067-2.

6.

Bae, S. Y., S.-Y. Hong, and W.-K. Tao, 2018: Development of a single-moment cloud microphysics scheme with prognostic hail for the Weather Research and Forecasting (WRF), doi:10.1007/s13143-018-0066-3.

7.

Song-You Hong, Seon Ki Park, Rokjin Park, and Jimy Dudhia , 2018: Korean Global Data Assimilation and Prediction System, Asia-Pacific Journal of Atmospheric Sciences, 54(s),265,DOI:10.1007/s13143-018-0300-z.

8.

Suk-Jin Choi,2018:Structure of Eigenvalues in the Advection-Diffusion Equation by the Spectral Element Method on a Cubed-Sphere Grid,Asia-Pacific Journal of Atmospheric Sciences, 54(s),293-301,DOI:10.1007/s13143-018-0020-4.

9.

Jeon-Ho Kang, Hyoung-Wook Chun, Sihye Lee, Ji-Hyun Ha, Hyo-Jong Song, In-Hyuk Kwon, Hyun-Jun Han, Hanbyeol Jeong, Hui-Nae Kwon, and Tae-Hun Kim,2018: Development of an Observation Processing Package for Data Assimilation in KIAPS, Asia-Pacific Journal of Atmospheric Sciences, 54(s),303-318,DOI:10.1007/s13143-018-0030-2.

10.

In-Hyuk Kwon, Hyo-Jong Song, Ji-Hyun Ha, Hyoung-Wook Chun, Jeon-Ho Kang, Sihye Lee, Sujeong Lim, Youngsoon Jo, Hyun-Jun Han, Hanbyeol Jeong, Hui-Nae Kwon, Seoleun Shin, and Tae-Hun Kim, 2018: Development of an Operational Hybrid Data Assimilation System at KIAPS, Asia-Pacific Journal of Atmospheric Sciences, 54(s),319-335, DOI:10.1007/s13143-018-0029-8.

11.

Hyo-Jong Song, Ji-Hyun Ha, In-Hyuk Kwon, Junghan Kim, and Jihye Kwun, 2018: Multi-resolution Hybrid Data Assimilation Core on a Cubed-sphere Grid (HybDA), Asia-Pacific Journal of Atmospheric Sciences, 54(s),337-350,DOI:10.1007/s13143-018-0018-y.

12.

Seoleun Shin, Jeon-Ho Kang, Hyoung-Wook Chun, Sihye Lee, Kwangjae Sung, Kyoungmi Cho, Youngsoon Jo, Jung-Eun Kim, In-Hyuk Kwon, Sujeong Lim, and Ji-Sun Kang,2018: Real Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) System for a Global Non-hydrostatic NWP model on the Cubed-sphere, Asia-Pacific Journal of Atmospheric Sciences, 54(s),351-360,DOI:10.1007/s13143-018-0022-2.

13.

Song-You Hong and Jihyeon Jang, 2018: Impacts of Shallow Convection Processes on a Simulated Boreal Summer Climatology in a Global Atmospheric Model, Asia-Pacific Journal of Atmospheric Sciences, 54(s),361-370,DOI:10.1007/s13143-018-0013-3.

14.

Ki-Hwan Kim, Pyoung-Seop Shim, Seoleun Shin, and Junghan Kim, 2018: A Simple Method to Find a Neighboring Grid Point on the Cubed-sphere, Asia-Pacific Journal of Atmospheric Sciences, 54(s),413-419,DOI:10.1007/s13143-018-0027-x.

15.

Sunghye Baek, Soo Ya Bae, 2018 : New Optical Properties of Ice Crystals for Multi-Class Cloud Microphysics, Journal of Advances in Modeling Earth Systems, DOI:10.1029/2018MS001398

1.

Lee, S., H.-W. Chun, and H.-J. Song, 2018: Impact of SAPHIR Data Assimilation in the KIAPS Global Numerical Weather Prediction System. Atmosphere, 28(2), 1-11.

2.

Jo. Y., S. Lim, I.-H. Kwon, and H.-J. Han, 2018: Investigation of Analysis Effect of ASCAT Data Assimilation within KIAPS-LETKF System. Atmosphere, 28(3), 263-272.

3.

Lee, J., and E.-H. Lee, 2018: Evaluation of daily precipitation estimate from Integrated 8 MultisatellitE Retrievals for GPM (IMERG) data over the Korean Peninsula and East Asia. Atmosphere, 28(3), 273-289.

4.

Kwon, H.-N., J.-H. Kang and I.-H. Kwon, 2018: Bias correction for aircraft temperature observation Part I: Analysis of temperature bias characteristics by comparison with sonde observation. Atmosphere, 28(4), 357-367.

1.

Yi, T.H., Lu, F.K., Wilson, D.R., Emanuel, G., 2017: Numerical study of detonation wave propagation in a confined supersonic flow. Shock Waves, 27, 395-408, doi 10.1007/s00193-016-0666-8.

2.

Yi, T.H., Park, J.R., 2017: Vertical discretization with finite elements for a global hydrostatic model on the cubed sphere. Journal of Computational Physics, 338, 339-356, 10.1016/j.jcp.2017.02.067.

3.

Song, H.-J., I.-H. Kwon, and J. Kim, 2017: Characteristics of a spectral inverse of the Laplacian using spherical harmonic functions on a cubed-sphere grid for background error covariance modeling. Mon. Wea. Rev., 145, doi:http://dx.doi.org/10.1175/MWR-D-16-0134.1.

4.

Song, H.-J., I.-H. Kwon, and J. Kim, 2017: Characteristics of a spectral inverse of the Laplacian using spherical harmonic functions on a cubed-sphere grid for background error covariance modeling. Mon. Wea. Rev., 145, doi:http://dx.doi.org/10.1175/MWR-D-16-0134.1.

5.

Song, H.-J., J. Kwun, I.-H. Kwon, J.-H. Ha, J.-H. Kang, S. Lee, H.-W. Chun, and S. Lim, 2017: The impact of the nonlinear balance equation on a 3D-Var cycle during an Australian-winter month as compared with the regressed wind-mass balance, Q. J. R. Meteorol. Soc., 143, 2036-2049. https://doi.org/10.1002/qj.3036

6.

Song, H.-J., S. Shin, J.-H. Ha, and S. Lim, 2017: The advantages of hybrid 4DEnVar in the context of the forecast sensitivity to initial conditions. J. Geophys. Res.: Atmospheres, 122, in press. https://doi.org/10.1002/2017JD027598

7.

Kwon, Y. C., and S.-Y. Hong, 2016: A mass-flux cumulus parameterization scheme across gray-zone resolutions. Mon. Wea. Rev., doi:10.1175/MWR-D-16-0034, in press.

8.

Baek, S. H, 2017: A revised radiation package of G-packed McICA and two-stream approximation: Performance evaluation in a global weather forecasting model. J. Adv. Model. Earth Syst., 9, doi:10.1002/2017MS000994.

9.

Koo, M.-S., S. Baek, K.-H. Seol, and K. Cho, 2017: Advances in land surface modeling of KIAPS based on the Noah land surface model. Asia-Pac. J. Atmos. Sci., 53(3), 361-373, doi:10.1007/s13143-017-0043-2

10.

Choi, H.-J. S.-J. Choi, M.-S. Koo, J.-E. Kim, Y. C. Kwon, and S.-Y Hong, 2017: Effects of parameterized orographic drag on weather forecasting and simulated climatology over East Asia during boreal summer. J. Geophys. Res.: Atmospheres, 133. https://doi.org/10.1002/2017JD026696

11.

Lee, M.-H., S. Lee, H.-J. Song, and C.-H. Ho, 2017: The Recent Increase in the Occurrence of a Boreal Summer Teleconnection and Its Relationship with Temperature Extremes J. Clim., 30, 7493-7504. https://doi.org/10.1175/JCLI-D-16-0094.1

12.

Seo, J. M., G. Ganbat, J.-Y. Han, and J.-J. Baik, 2017: Theoretical calculations of interactions of urban breezes and mountain slope winds in the presence of basic-state wind. Theor. Appl. Climatol., 127, 865-874, doi:10.1007/s00704-015-1674-9.

13.

Lee, J.-Y., M. Kwon, K.-S. Yun, S.-K. Min, I.-H. Park, Y.-G. Ham, E. K. Jin, J.-H. Kim, K.-H. Seo, W. Kim ,S.-Y. Yim, and J.-H. Yoon, 2017: The Long-Term Variability of Changma in the East Asian Summer Monsoon System: A Review and Revisit. Asia-Pac. J. Atmos. Sci., 53(2), 257-272. DOI:10.1007/s13143-017-0032-5

14.

S.-S. Lee, E.-H. Lee, B.-J. Sohn, H. C. Lee, J. H. Cho, and S. B. Ryoo, 2017: Improved Dust Forecast by Assimilating MODIS IR-Based Nighttime AOT in the ADMA2 Model. SOLA, vol.13, 192−198, doi:10.2151/sola.2017-035.

15.

Na, J.-S., E. Koo, E. K. Jin ,R. Linn, S.-C. Ko, D. Munoz-Esparza, and J. S. Lee, 2017: Large-Eddy Simulations of Wind-Farm Wake Characteristics associated with a Low-Level Jet. Wind Energy, 2017, 1-11, DOI: 10.1002/we.2152

16.

Song, I.-S., C. Lee, J.-H. Kim, G. Jee, Y.-H. Kim, H.-J. Choi, H.-Y. Chun, and Y.-H. Kim, 2017: Meteor radar observations of vertically propagating low-frequency inertia-gravity waves near the southern polar mesopause region, J. Geophys. Res., 122, 4777-4800, doi:10.1002/2016JA022978.

17.

Young Cheol Kwon1 and Taekyun Kim, 2017: Impact of air-sea exchange coefficients on the structure and intensity of tropical cyclones, Terrestrial Atmospheric and Oceanic Sciences, 28, 345-356, doi: 10.3319/TAO.2016.11.16.01.

18.

JONGIL HAN,WEIGUO WANG,YOUNG C. KWON AND SONG-YOU HONG,VIJAY TALLAPRAGADA,FANGLIN YANG, 2017: Updates in the NCEP GFS Cumulus Convection Schemes with Scale and Aerosol Awareness, Weather and Forecasting, 32, 2005-2017, doi:https://doi.org/10.1175/WAF-D-17-0046.1.

19.

A. Bhattacharya,A. Chakraborty,V. Venugopal, 2017: Role of aerosols in modulating cloud properties during active– break cycle of Indian summer monsoon, Climate Dynamics, 49, 2131-2145, doi:10.1007/s00382-016-3437-4.

1.

K.-B. Kim, E.-H. Lee, and K.-H. Seol, 2017: Sensitivity of Typhoon Simulation to Physics Parameterizations in the Global Model. Atmosphere, 27(1), pp.17-28.

2.

E.-H. Lee, I.-J. Choi, K.-B. Kim, J.-H. Kang, J. Lee, E. Lee, and K.-H. Seol, 2017: Verification of the Global Numerical Weather Prediction Using SYNOP Surface Observation Data. Atmosphere, 27(2), pp.235-249.

1.

Choi, S.-J, S.-Y. Hong, 2016: A Global Non-Hydrostatic Dynamical Core Using the Spectral Element Method on a Cubed-Sphere Grid. Asia-Pac.J.Atmos.Sci, DOI: 10.1007/s13143-016-0005-0

2.

Choi, S.-J, D.-K. Lee, 2016: Impact of Spectral Nudging on the Downscaling of Tropical Cyclones in Regional Climate Simulations, Adv.Atmos.Sci. 33(6), 730-742, DOI: 10.1007/s00376-016-5061-y

3.

Jang, J. H., S.-Y. Hong, 2016: Comparison of nonhydrostatic and hydrostatic dynamical cores in two regional models using the spectral and finite difference methods: dry atmosphere simulation. Meteor. Atmos. Phys. DOI 10.1007/s00703-015-0412-2.

4.

Jang, J.H, S.-Y. Hong, 2016: Comparison of Simulated Precipitation over East Asia in Two Regional Models with Hydrostatic and Nonhydrostatic Dynamical Cores, Mon.wea.rev. DOI: 10.1175/MWR-D-15-0428.1

5.

Shin, S.,J-S Kang, and Y.Jo., 2016: The Local Ensemble Transform Kalman Filter(LETKF) with a Global NWP Model on the Cubed Sphere, Pure Appl.Geophys. DOI: 10.1007/s00024-016-1269-0

6.

Ham, Y.-G, H.-J, Song, J.-H. Jung, G.-H. Lim 2016: Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System, Advances in Meteorology. 16(11), DOI: 10.1155/2016/4305204

7.

Park, R.-S., J.-H. Chae, and S.-Y. Hong, 2016: A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System, Mon. Wea. Rev, 114, 1219-1229, doi: 10.1175/MWR-D-15-0273.1

8.

Han, J.-Y., S.-Y. Hong, K.-S. S. Lim, and J. Han, 2016: Sensitivity of a cumulus parameterization scheme to precipitation production representation and its impact on a heavy rain event over Korea. Mon. Wea. Rev., 144, 2125-2135. DOI: 10.1175/MWR-D-15-0255.1

9.

Kang, J.-Y., Y. C. Kwon, 2016: Impacts of air-sea exchange coefficients on snowfall events over the Korean Peninsula. J. Atmos. Sol.-Terr. Phys., 146, 1-15, DOI: 10.1016/j.jastp. 2016.04.017

10.

Bae, S. Y., J. I. Jeong, R. J. Park, K.-S. S. Lim, and S.-Y. Hong, 2016: Weekly variability of precipitation induced by anthropogenic aerosols: A case study in Korea in summer 2004. Sci. Total Envion., 541, doi:10.1016/j.scitotenv.2015.10.020.

11.

Jin, E. K., I-J. Choi, S.-Y. Kim, and J.-Y. Han, 2016: Impact of model resolution on the simulation of diurnal variations of precipitation over East Asia. J. Geophys. Res.: Atmospheres, 121, 1652-1670, doi:10.1002/2015JD023948.

12.

Jeong, G.-R., B.M.Monge-Sanz, E.-H.lee, J.R.Ziemke 2016: Simulation of Stratospheric Ozone in Global Forecast Model Using Linear Photochemistry Parameterizaton Asia-Pac.J.Atmos.Sci., 52(5), 479-494, doi: 10.1007/s13143-016-0032-x

13.

Kim, T.-K., E.K.Jin 2016: Impact of an interactive ocean on numerical weather prediction: A case of a local heavy snowfall event in eastern korea. J.Geophys.Res.: Atmospheres, 121, 8243-8253, doi: 10.1002/2016JD024763

14.

Kim, Y.-H., H.Y. Chun, S.-H. Park, I.-S. Song, H.-J. Choi 2016: Characteristics of gravity waves generated in the jet-front system in a baroclinic instability simulation. Atmos. Chem. Phys., 16, 4799-4815, doi: 10.1002/2016JD024763

15.

Na, J.-S., E. Koo, D. Munoz-Esparza, E. K. Jin, R. Linn, and J. S. Lee, 2016: Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer, Energy, 95, 79-90. DOI: doi.org/10.1016/j.energy.2015.11.040

1.

Bae, S. Y., S.-Y. Hong, and K.-S. S. Lim, 2015: Coupling WRF Double-Moment 6-Class Microphysics schemes to RRTMG radiation scheme in weather research forecasting model. Adv. Meteorol., 2016, doi:10.1155/5070154.

1.

Jang, J. H., S.-Y. Hong, 2015: Comparison of nonhydrostatic and hydrostatic dynamical cores in two regional models using the spectral and finite difference methods: dry atmosphere simulation. Meteorol. Atmos. Phys. DOI 10.1007/s00703-015-0412-

2.

Lee, S., C. H. Song, R. S. Park, M. E. Park, K. M. Han, J. Kim, M. J. Choi, Y. S. Ghim, and J.-H. Woo, 2016: Development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia. Geosci. Model Dev., 9, 17-39, doi:10.5194/gmd-9-17-2016.

3.

Choi, I.-J., E. K. Jin, J.-Y. Han, S.-Y. Kim, and Y. Kwon, 2015: Sensitivity of diurnal variation in simulated precipitation during East Asian summer monsoon to cumulus parameterization schemes. J. Geophys. Res.: Atmospheres, 120, 11,971–11,987, doi:10.1002/2015JD023810.

4.

Song, H. J., I. H. Kwon, 2015: Spectral transformation using a cubed-sphere grid for a three-dimensional variational data assimilation system. Mon. Wea. Rev., 143, DOI: 10.1175/MWR-D-14-00089.1.

5.

Kwon, H., J.-S. Kang, Y. Jo, and J. H. Kang, 2015: Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system, Atmos. Meas. Tech., 8, 1259-1273, doi:10.5194/amt-8-1259-2015.

6.

Choi, H.-j., S.-Y. Hong, 2015: An updated subgrid orographic parameterization for global atmospheric forecast models. J. Geophys. Res.: Atmospheres, 120, doi:10.1002/2015JD024230.

1.

Iguchi, T., I.-J. Choi, Y. Sato, K. Suzuki, and T. Nakajima, 2015: Overview of the development of the aerosol loading interface for cloud microphysics in simulation (ALICIS), Progress in Earth and Planetary Science, DOI 10.1186/s40645-015-0075-0.

2.

Kim, S. Y., Y. S. Jo, Y.-H. Kim, B. H. Lim, and P.-H. Chang, 2015: Impacts of Argo temperature in East Sea regional Ocean model with a 3D-var data assimilation. Ocean sci. J., 20, pp. 119-130.

3.

Jo, Y. S., J.-S. Kang, H. T. Kwon, 2015: Optimization of the vertical localization scale for GPS-RO data assimilation within KIAPS-LETKF system. Atmosphere, 25, pp. 529-541.

1.

Jung, B.-J., S. G. Kim, and Y. S. Jo, 2014: Representer-based variational data assimilation in a spectral element shallow water model on the cubed-sphere grid. Tellus A, 6, 1-14.

2.

Lee, H. H., J.-J. Baik, and J.-Y., Han, 2014: Effects of turbulence on warm clouds and precipitation with various aerosol concentrations. Atmos. Res., 153, 19-33.

3.

Ganbat, G. J. M., Seo, J.-Y. Han, and J.-J. Baik, 2014: A theoretical study of the interactions of urban breeze circulation with mountain slope winds. Theor. Appl. Climatol., Published online.

4.

Lee, H. H., J.-J. Baik, and J.-Y. Han, 2014: Effects of turbulence on mixed-phase deep convective clouds under different basic-state winds and aerosol concentrations. J. Geophys. Res.: Atmosphere, 119, 23, 13506-13525.

5.

Kim, S. I., Y. S. Lee, and J.-S. Park, 2014: Maximum likelihood parameter estimation for a high-dimensional system by particle-based filters, Probabilistic Engineering Mechanics, 39, 1-9.

6.

Shin, H. H., and S.-Y. Hong, 2014: Representation of the Subgird-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions. Mon. Wea. Rev., in press.

7.

Byun, U.-Y., J. Hong, S.-Y. Hong, and H. Shin, 2014: Numerical Simulations of Heavy Rainfall over Central Korea on 21 September 2010 Using the WRF Model. Adv. Atmos. Sci., in press.

8.

Lim, K.-S., S.-Y. Hong*, J.-H. Yoon, and J. Han, 2014: Simulation of the Summer Monsoon Rainfall over East Asia Using the NCEP GFS Cumulus Parameterization at Different Horizontal Resolution. Wea. Forecasting, 29, 1143-1154, doi:http://dx.doi.org/10.1175/WAF-D-13-00143.1.

9.

Lee, J.-W., S. Ham, S.-Y. Hong, K. Yoshimura, and M. Joh, 2014: Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario. Advances in Meteorology, Article ID 753790, 8, doi:http://dx.doi.org/10.1155/2014/753790.

10.

Na, J. S., E. K. Jin, and J. S. Lee, 2014: Investigation of Kelvin–Helmholtz instability in the stable boundary layer using large eddy simulation. J. Geophys. Res., 119, 7876–7888.

1.

Choi, S.-J., F. X. Giraldo, J. H. Kim, and S. E. Shin, 2014: Verification of a non-hydrostatic dynamical core using horizontal spectral element method and vertical finite difference method: 2D Aspects. Geosci. Model Dev., 7, 6, 2717-2731.

2.

Koo, M.-S., and S.-Y., Hong: Stochastic representation of dynamic model tendency: Formulation and preliminary results. Asia-Pacific Journal of Atmospheric Sciences, 50, 4, 497-506.

3.

Kim, S.-Y., J.-Y. Han, I.-J. Choi, S. Y. Bae: Evaluation of cloud and precipitation parameterization using a single-column model: A TWP-ICE case study. Asia-Pacific Journal of Atmospheric Sciences, 50, 4, 469-480.

4.

Kim, S. I., B.-J. Jung, and Y. S. Jo, 2014: Development of a tangent linear model (version 1.0) for the High-Order Method Modeling Environment dynamical core. Geosci. Model Dev., 7, 3, 1175-1182.

5.

Grewe, V., S. Brinkop, P. Jöckel, S. E. Shin, Sebastian Reich, Harry Yserentant, 2014: On the theory of mass conserving transformations for Lagrangian methods in 3D atmosphere-chemistry models. Meteorologische Zeitschrift, 23, 4, 441-447.

6.

Reich, S., S. E. Shin, 2014: On the consistency of ensemble transform filter formulations. Journal of computational dynamics, 1, 1, 177-189.

7.

Park, R.-S., M. Jang, S. N. Oh, and Y.-K. Hong, 2014: A study on a model of rainfall drop-size distribution over Daegwanryeong mountainous area using PARSIVEL observations. J. Korean Earth Sci. Soc., 35, 518-528.

8.

Lee, S. H., S. I. Kim, H.-W. Chun, J.-H. Kim, and J.-H. Kang, 2014: Pre-processing and bias correction for AMSU-A radiance data based on statistical methods. Atmosphere, 24, 491-502.

9.

Kim, J.-H., J.-H. Kang, and S. H. Lee, 2014: A comparison of observed and simulated brightness temperatures from two radiative transfer models of RTTOV and CRTM. J. Korean Earth Sci. Soc, 35, 19-28.

1.

Choi, H.-J., and H.-Y. Chun, 2013: Effects of convective gravity wave drag in the Southern Hemisphere Winter Stratosphere. J. Atmos. Sci., 70, 2120-2136.

2.

Hong, S.-Y., M.-S. Koo, J. H. Jang, J.-E. Kim, H. Park, M.-S. Joh, J.-H. Kang, and T.-J. Oh, 2013: An evaluation of the software system dependency of a global Atmospheric model. Mon. Wea. Rev., 141, 4165-4172

3.

Kang, S.-H., T.-Y. Goo, and M.-L. Ou, 2013: Improvement of AERI T/q retrievals and their validation at Anmyeon-Do, South Korea. J. Atmos. Oceanic Technol., 30, 1433–1446.

4.

Kinter, J. L., B. Cash, E. K. Jin and Coauthors, 2013: Revolutionizing climate modeling with project Athena: A multi-institutional, international collaboration. Bull. Amer. Meteorol. Soc., 94, 231–245.

5.

Flatau, M., and Y.-J. Kim, 2013: Interaction between the MJO and polar circulations. J. Climate, 26, 3562–3574.

6.

Manganello, J. V., K. Hodges, E. K. Jin and co-authors, 2013: tropical cyclone climatology in a 10-km global atmospheric GCM: Toward weather-resolving climate modeling. J. Climate, 25, 3867–3893.

7.

Dirmeyer, A. P., B. Cash, E. K. Jin and Co-authors, 2013: Evidence for enhanced land–atmosphere feedback in a warming climate. Journal of Hydrometeorology, 13, 981–995.

8.

Jung, B.-J., H. M. Kim, T. Auligné, Xin Zhang, Xiaoyan Zhang, and X.-Y. Huang, 2013: Adjoint-derived observation impact using WRF in the western North Pacific. Mon. Wea. Rev., 141, 4080-4097.

9.

Choi, I.-J., T. Iguchi, S.-W. Kim, T. Nakajima, and S.-C. Yoon, 2013: The effect of aerosol representation on cloud microphysical properties in Northeast Asia. Meteorol. Atmosp. Phys., 123, 181-194.

10.

Jun, S.-Y., C.-H. Ho, B.-M. Kim, J.-H. Jeong, 2013: Sensitivity of Arctic warming to sea surface temperature distribution over melted sea-ice region in atmospheric general circulation model experiments. Climate Dyn., 42, 941-955.

11.

Bae, S. Y., C. H. Jung, and Y. P. Kim, 2013: The influence of electric charge on minimum particle scavenging efficiency particle size during below-cloud scavenging processes. J. Aerosol Sci., 67, 177-187.

12.

Hurwitz, M. M., L. D. Oman, P. A. Newman, and I.-S. Song, 2013: Net influence of an internally–generated QBO on modelled stratospheric climate and chemistry. Atmos. Chem. Phys., in press.

13.

Lee, H. H., J.-J. Baik, and J.-Y. Han, 2013: Effects of turbulence on warm clouds and precipitation under various aerosol concentrations. Atmos. Res., 153, doi:10.1016/j.atmosres.2014.07.026.

14.

Na, J.-S., E. K. Jin, and J. Lee: The study of Kelvin-Helmholtz instability in the stable boundary layer using large eddy simulation. J. Geophys. Res., 119, 7876-7888.

15.

Shukla, R., E. K. Jin, J. Kinter, J. Shukla: Simulation of the Asian-Australian Monsoon using a regionally-coupled global climate model. Climate Dyn. in revision.

16.

Manganello, J. V., K. Hodges, E. K. Jin, and co-authors, 2013: Future changes in the Western North Pacific tropical cyclone activity projected by a multi-decadal simulation with a 16-km global atmospheric GCM. J. Climate, 27, 7622-7246, doi:

1.

Jung, C. H., S. S. Lee, S. Y. Bae, and Y. P. Kim, 2013: Minimum collection efficiency particle diameter during precipitation as a function of rain intensity. Aerosol Air Qual. Res., 13, 1070-1077.

2.

Jung, C. H., J. S. Um, Y. H. Shin, S. Y. Bae, and Y. P. Kim: Optical properties of poly dispersed atmospheric aerosols following wet removal. Part. Sci. Technol., 31, 10.1080/02726351.2013.822037.

3.

Lee, D.-K., D.-H. Cha, S.-S. Jin, S.-J. Choi, 2013: A Regional Climate Change Simulation over East Asia. Asia-Pacific Journal of Atmospheric Sciences, 49, 655-664.

4.

Lee, J. S., W. J. Choi, D. R. Kim, S.-Y. Kim, C.-K. Song, J. S. Hong, Y. D. Hong, and S. J. Lee, 2013: The effect of ozone and aerosols on the surface erythemal UV radiation estimated from OMI measurements. Asia-Pacific Journal of Atmospheric Sciences, 49, 3, 271-278.

5.

Kang, J.-Y., T. Y. Tanaka, M. Mikami, and S.-C. Yoon, 2013: A numerical study of the effect of frozen soil on dust emission during an East Asian dust event in December 2009. Asia-Pacific Journal of Atmospheric Sciences, 49, 1, 57-69.

6.

Chun, H.-W., and B.-J. Sohn, 2013: Climatological assessment of desert targets over East Asia - Austalian region for the solar channel calibration of geostationary satellites. Asia-Pacific Journal of Atmospheric Sciences, DOI:10.1007/s13143-014-0012-y, published online.

7.

Ganbat, G., J.-Y. Han, Y.-H. Ryu, and J.-J. Baik, 2013: Characteristics of the urban heat island in a high-altitude metropolitan city, Ulaanbaatar, Mongolia. Asia-Pacific Journal of Atmospheric Sciences, 49, 535-541.

8.

Han, J.-Y., J.-J. Baik, and H. H. Lee, 2013: Urban impacts on precipitation. Asia-Pacific Journal of Atmospheric Sciences, 50, 1, 17-30.

9.

Kim, S.-Y., J.-Y. Han, I.-J. Choi, and S. Y. Bae, 2013: Evaluation of cloud and precipitation parameterization using a single-column model: A TWP-ICE case study. Asia-Pacific Journal of Atmospheric Sciences, 50, 469-480.

10.

Yi, T.H., F.K. Lu, D.R. Wilson, G. Emanuel, 2013: Numerical study of detonation wave propagation in a confined supersonic flow. Shock Waves (SCIE), submitted

11.

Lee, H. H., J.-J. Baik, J.-Y, Han, 2013: Sensitivity of Numerical Solutions to Time Step in a Nonlinear Atmospheric Model. J. Korean Earth Sci. Soc., 34, 1, 51-58.

12.

Woo, S. R., J.-J. Baik, H. H. Lee, J.-Y. Han, J. M. Seo, 2013: Nonhydrostatic effects on convectively Forced mesoscale flows. Atmosphere, 23, 3, 293-305.

13.

Kim, S.-W., I.-J. Choi, S.-C. Yoon, and Y. Kim, 2013: Sensitivity of aerosol optical parameters on the atmospheric radiative heating rate. Atmosphere, 23, 1, 85-92.

14.

Lee. S. H., J.-H. Kim, J.-H. Kang, H.-W. Chun, 2013: Development of pre-processing and bias correction modules for AMSU-A satellite data in the KIAPS observation processing system. Atmosphere, 23, 4, 453-470.

1.

Liu, M., Y.-J. Kim, O. Zhao, 2012: Numerical experiments of an advanced radiative transfer model in the U.S. Navy operational global atmospheric prediction system. Journal of Applied Meteorology and Climatology, 51, 554-570.

2.

Choi, Y.-S., H.-J. Song, 2012:On the numerical integration of a randomly forced system: variation and feedback estimation. Theor. Appl. Climatol., DOI: 10.1007/s00704-012-0612-3.

3.

Cocke, S., M. Boisserie, and D.-W. Shin, 2012: A coupled soil moisture initialization scheme for the FSU/COAPS climate model. Inverse Probl. Sci. Eng., 21, 1–18.

4.

Dirmeyer, P., B. Cash, E. K. Jin and co-authors, 2012: Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization. Climate Dyn., 39, 399-418, DOI: 10.1007/s00382-011-1127-9.

5.

Kim, D., S. Kim, and I. Y Jung, 2012: Stabilization for the Kirchhoff type equation from an axially moving heterogeneous string modeling with boundary feedback control. Nonlinear Analysis Series A: Theory, Methods & Applications, 75, 3598-3617, doi:http:// dx.doi.org/10.1016/j.na.2012.01.018.

6.

Lee, S, H., S.-C. Yoon, and co-authors, 2012: Spectral dependency of light scattering/absorption and hygroscopicity of pollution and dust aerosols in Northeast Asia. Atmos. Environ., 50, 246–254.

7.

Chung, C. E., S.-W. Kim, M. H. Lee, S.-C. Yoon, and S. H. Lee , 2012: Carbonaceous aerosol AAE inferred from in-situ aerosol measurements at the Gosan ABC super site, and the implications for brown carbon aerosol. Atmos. Chem. Phys., 12, 6173–6184, DOI:10.5194/acp-12-6173-2012.

8.

Kim, K.-H., Q-H. Park, 2012: Overlapping computation and communication of three-dimensional FDTD on GPU cluster. Comput. Phys. Commun. (ELSEVIER), 183, 2364–2369, DOI: 10.1016/j.cpc.2012.06.003.

9.

J.-Y. Han, J.-J. Baik, 2012: Nonlinear effects on convectively forced two-dimensional mesoscale flows. J. Atmos. Sci., 69, 3391-3404.

10.

Myoung, B. S., Y.-S. Choi, S.-J. Choi, S. K. Park, 2012: Impact of vegetation on land-atmosphere coupling strength and its implication for desertification mitigation over East Asia. J. Geophys. Res., 117.

11.

Lee, M.-H., C.-H. Ho, J.-H. Kim, H.-J. Song, 2012: Low-frequency variability of tropical cyclone-induced heavy rainfall over East Asia associated with tropical and North Pacific sea surface temperatures. J. Geophys. Res., 117.

12.

Oh, J.-H., B.-M. Kim, K.-Y. Kim, H.-J. Song, G.-H. Lim, 2012: The impact of the diurnal cycle on the MJO over the Maritime Continent: A modeling study assimilating TRMM rain rate into global analysis. Climate Dyn., 40, 893-911.

1.

Lehmann, C. I., Y.-H. Kim, P. Preusse, H.-Y. Chun, M. Ern, and S.-Y. Kim, 2012: Consistency between Fourier transform and small-volume few-wave decomposition for spectral and spatial variability of gravity waves above a typhoon. Atmos. Meas. Tech. (SCIE), 5, 1637-1651, doi:10.5194/amt-5-1637-2012.

2.

Song, H.-J., G.-H. Lim, and B.-M. Kim, 2011: A comparison between a Monte Carlo implementation of retrospective optimal interpolation and an ensemble Kalman filter in nonlinear dynamics. Computational Geosciences, 16, 1, 177-192.

3.

Lee, H.-J., S.-W. Kim, S.-C. Y, and J.-Y. Kang, 2012: Examining the non-spherical effect of Asian dust particle onaerosol optical depth. Atmosphere, 22, 175-186.

4.

Lee. S. H., S.-W. Kim, and S.-C. Yoon, 2012: Estimation of the light absorption contribution for Asian dust and polluted particles at Gosan, Jeju during the Asian dust episode in the Spring 2011. Korea Society For Atmospheric Environment, 28, 411-422.

1.

Song, H.-J., and G.-H. Lim, 2011: Improvement of retrospective optimal interpolation by incorporating eigen‐decomposition and covariance inflation. Quart. J. Roy. Meteorol. Soc., 138, 353-364.

2.

Garfinke, C. I., A. M. Molod, L. D. Oman, I.-S. Song, 2011: Improvement of the GEOS-5 AGCM upon updating the air-sea roughness parameterization. Geophys. Res. Lett., 38, L18702.

3.

Hurwitz, M. M., I.-S. Song, L. D. Oman, P. A. Newman, A. M. Molod, S. M. Frith, and J. E. Nielsen, 2011: Response of the antarctic stratosphere to warm pool El Ni˜no events in the GEOS CCM. Atmos. Chem. Phys., 11, 9659–9669.

4.

Song, H.-J., E. H. Choi, G.-H. Lim, Y.-H. Kim, J.-S. Kug, S.-W. Yeh, 2011: The central Pacific as the export region of the El Niño-Southern scillation sea surface. J. Geophys. Res., 116, D21113, 12.

1.

You, S. H., W. J. Lee, J. H. Kwun, S. B. Ryoo, 2011: High resolution regional and coastal operational storm surges - Tide forecasting system in Korea. Journal of Environmental Science and Engineering, 5.

2.

Song, H.-J., G.-H. Lim, and B.-M. Kim, 2011: A comparison between a Monte Carlo implementation of retrospective optimal interpolation and an ensemble Kalman filter in nonlinear dynamics. Computational Geosciences, 16, 1, 177-192.

3.

Lee, Y.J., H. J. Kwon, and D.-C. Joo, 2011: Dynamic data-base typhoon track prediction (DYTRAP). Atmosphere, 21, 2, 131-220.