• Lee, H.-J., H. H. Shin, K.-S. S. Lim, S.-H. Park, 2024: Effects of horizontal resolution and updated surface data on simulated low-level winds for the aviation safety over Incheon International Airport. Atmospheric Research, 312, 107753. https://doi.org/10.1016/j.atmosres.2024.107753
• Do, Y., K.-S. S. Lim, K.-B. Kim, H. H. Shin, E.-C. Chang, G. Lee 2024: Impact of model resolution and initial/boundary conditions in forecasting low-level atmospheric fields over the Incheon International Airport. Journal of Applied Meteorology and Climatology, 63, 893–907. https://doi.org/10.1175/JAMC-D-24-0011.1
• Yang, J., M. Sengupta, Y. Xie, and H. H. Shin, 2023: Developing a 20-year high-resolution wind data set for Puerto Rico. Energy, 285, 129439. https://doi.org/10.1016/j.energy.2023.129439
• Lee, J., H.-J. Lee, K.-B. Kim, H. H. Shin, J.-M. Lim, J. Hong, and K.-S. S. Lim, 2023: Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields. Atmospheric Research. https://doi.org/10.1016/j.atmosres.2023.106882
• Shin, H. H., W. Deierling, and R. Sharman, 2023: A comparative study of various approaches for producing probabilistic forecasts of upper-level aviation turbulence. Weather and Forecasting. https://doi.org/10.1175/WAF-D-22-0086.1
• Lee, H.-J., K-B. Kim, J. Lee, H. H. Shin, E.-C. Chang, J.-M. Lim, and K.-S. S. Lim, 2022: Effects of the synoptic-scale environments and high-resolution surface data on the simulated wind fields in the WRF model. Atmosphere [대기] (in Korean with English abstract), 32(2), 103–118. https://doi.org/10.14191/Atmos.2022.32.2.103
• Chu, Y., Z. Wang, L. Xue, M. Deng, G. Lin, H. Xie, H. H. Shin, W. Li, G. Firl, D. F. D’Amico, D. Liu, and Y. Wang, 2022: Characterizing warm atmospheric boundary layer over land by combining Raman and Doppler lidar measurements. Optics Express. https://doi.org/10.1364/OE.451728
• Shin, H. H., L. Xue, W. Li, G. Firl, D. F. D’Amico, D. Muñoz-Esparza, M. B. Ek, Y. Chu, Z. Wang, W. I. Gustafson Jr., and A. M. Vogelmann, 2021: Large-scale forcing impacts on the development of shallow convective clouds revealed from LASSO large-eddy simulations. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2021JD035208
• Muñoz-Esparza, D., H. H. Shin, T. L. Keller, R. D. Sharman, M. Steiner, J. Rawdon, and G. Pokodner: Revisiting the precipitous terrain classification from a meteorological perspective. Journal of Applied Meteorology and Climatology. https://doi.org/10.1175/JAMC-D-20-0268.1
• Muñoz-Esparza, D., H. H. Shin, J. A. Sauer, M. Steiner, P. Hawbecker, J. Boehnert, J. O. Pinto, B. Kosović, and R.D. Sharman, 2021: Efficient GPU modeling of street-scale weather effects in support of advanced air mobility operations. AGU Advances, 2, e2021AV000432. https://doi.org/10.1029/2021AV000432
• Shin, H. H., D. Muñoz-Esparza, J. A. Sauer, and M. Steiner, 2021: Large-eddy simulations of stability-varying atmospheric boundary layer flow over isolated buildings. Journal of the Atmospheric Sciences, 78, 1487–1501. https://doi.org/10.1175/JAS-D-20-0160.1
• Muñoz-Esparza, D., J. A. Sauer, H. H. Shin, R. Sharman, B. Kosović, S. Meech, C. García-Sánchez, M. Steiner, J. Knievel, J. Pinto, and S. Swerdlin, 2021: Inclusion of building-resolving capabilities into the FastEddy® GPU-LES model using an immersed body force method. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2020MS002141
• Lim, K.-S. S., J.-M. Lim, J. Lee, and H. H. Shin, 2021: Impact of boundary layer simulation on predicting radioactive pollutant dispersion: A case study for HANARO research reactor using the WRF-MMIF-CALPUFF modeling system. Nuclear Engineering and Technology, 53, 244–252. https://doi.org/10.1016/j.net.2020.06.011
• Harris, L., L. Zhou, S.-J. Lin, J.-H. Chen, X. Chen, K. Gao, M. Morin, S. Rees. Y. Sun, M. Tong, B. Xiang, and Coauthors, 2020: GFDL SHiELD: A unified system for weather-to-seasonal prediction. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2020MS002223
• Honnert, R., G. A. Efstathiou, R. J. Beare, J. Ito, A. Lock, R. Neggers, R. S. Plant, H. H. Shin, L. Tomassini, and B. Zhou, 2020: The atmospheric boundary layer and the “gray zone” of turbulence: A critical review. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2019JD030317
• Wang, C., Y. Qian, Q. Duan, M. Huang, L. K. Berg, H. H. Shin, Z. Feng, B. Yang, J. Quan, S.-Y. Hong, and J. Yan, 2020: Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon. Atmospheric Research, 234, 104738. https://doi.org/10.1016/j.atmosres.2019.104738
• Yang, B., L. K. Berg, Y. Qian, C. Wang, Z. Hou, Y. Liu, H. H. Shin, S.-Y. Hong, and M. Pekour, 2019: Parametric and structural sensitivities of turbine-height wind speeds in the boundary-layer parameterizations in the Weather Research and Forecasting model. Journal of Geophysical Research: Atmospheres, 124, 5951–5969. https://doi.org/10.1029/2018JD029691
• Shin, H. H., Y. Ming, M. Zhao, X. Chen, and S.-J. Lin, 2019: Improved surface layer simulation using refined vertical resolution in the GFDL atmospheric general circulation model. Journal of Advances in Modeling Earth Systems, 11, 905–917. https://doi.org/10.1029/2018MS001437
• Lim, K.-S. S., J.-M. Lim, H. H. Shin, J. Hong, Y.-Y. Ji, and W. Lee, 2019: Impacts of subgrid-scale orography parameterization on simulated atmospheric fields over Korea using a high-resolution atmospheric forecast model. Meteorology and Atmospheric Physics, 131, 975–985. https://doi.org/10.1007/s00703-018-0615-4
• Shin, H. H., Y. Ming, M. Zhao, J.-C. Golaz, B. Xiang, and H. Guo, 2018: Evaluation of planetary boundary layer simulation in GFDL atmospheric general circulation models. Journal of Climate, 31(13), 5071–5087. https://doi.org/10.1175/JCLI-D-17-0543.1
• Zhao, M., J.-C. Golaz, I. M. Held, H. Guo, and Coauthors, 2018: The GFDL global atmosphere and land model AM4.0/LM4.0: 2. Model description, sensitivity studies, and tuning strategies. Journal of Advances in Modeling Earth Systems, 10, 735–769. https://doi.org/10.1002/2017MS001209
• Zhao, M., J.-C. Golaz, I. M. Held, H. Guo, and Coauthors, 2018: The GFDL global atmosphere and land model AM4.0/LM4.0: 1. Simulation characteristics with prescribed SSTs. Journal of Advances in Modeling Earth Systems, 10, 691–734. https://doi.org/10.1002/2017MS001208
• Shin, H. H., and J. Dudhia, 2016: Evaluation of PBL parameterizations in WRF at sub-kilometer grid spacings: Turbulence statistics in the dry convective boundary layer. Monthly Weather Review, 144(3), 1161–1177. https://doi.org/10.1175/MWR-D-15-0208.1
• Byun, U.-Y., J. Hong, S.-Y. Hong, and H. H. Shin, 2015: Numerical simulations of heavy rainfall over central Korea on 21 September 2010 using WRF model. Advances in Atmospheric Sciences, 32(6), 855–869. https://doi.org/10.1007/s00376-014-4075-6
• Lee, J., H. H. Shin, S.-Y. Hong, P. A. Jiménez, J. Dudhia, and J. Hong, 2015: Impacts of subgrid-scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high-resolution WRF model. Journal of Geophysical Research: Atmospheres, 120(2), 644–653. https://doi.org/10.1002/2014JD022747
• Shin, H. H., and S.-Y. Hong, 2015: Representation of the subgrid-scale turbulent transport in convective boundary layers at gray-zone resolutions. Monthly Weather Review, 143(1), 250–271. https://doi.org/10.1175/MWR-D-14-00116.1
• Shin, H. H., and S.-Y. Hong, 2013: Analysis of resolved and parameterized vertical transports in convective boundary layers at gray-zone resolutions. Journal of the Atmospheric Sciences, 70(10), 3248–3261. https://doi.org/10.1175/JAS-D-12-0290.1
• Shin, H. H., S.-Y. Hong, Y. Noh, and J. Dudhia, 2013: Derivation of turbulent kinetic energy from a first-order nonlocal planetary boundary Layer parameterization. Journal of the Atmospheric Sciences, 70(6), 1795–1805. https://doi.org/10.1175/JAS-D-12-0150.1
• Shin, H. H., S.-Y. Hong, and J. Dudhia, 2012: Impacts of the lowest model level height on the performance of planetary boundary layer parameterizations. Monthly Weather Review, 140(2), 664–682. https://doi.org/10.1175/MWR-D-11-00027.1
• Shin, H. H., and S.-Y. Hong, 2011: Intercomparison of planetary boundary-layer parametrizations in the WRF model for a single day from CASES-99. Boundary-Layer Meteorology, 139(2), 261–281. https://doi.org/10.1007/s10546-010-9583-z
• Byun, U.-Y., S.-Y. Hong, H. Shin, J.-W. Lee, J.-I. Song, S.-J. Hahm, J.-K. Kim, H.-W. Kim, and J.-S. Kim, 2011: WRF-Based short-range forecast system of the Korea Air Force: Verification of prediction skill in 2009 summer. Atmosphere [대기], 21(2), 197–208 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2011.21.2.197
• Shin, H. H., S.-Y. Hong, J. Dudhia, and Y.-J. Kim, 2010: Orography-induced gravity wave drag parameterization in the global WRF: Implementation and sensitivity to shortwave radiation schemes. Advances in Meteorology, 2010. https://doi.org/10.1155/2010/959014
• Shin, H., and S.-Y. Hong, 2009: Quantitative precipitation forecast experiments of heavy rainfall over Jeju Island on 14-16 September 2007 using the WRF model. Asia-Pacific Journal of Atmospheric Sciences, 45(1), 71–89.
