KIAPS |

SCI

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

SCI(E)

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 Socienty

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 Socienty

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

Non-SCI(E) Journal

1.

Jeong, H.-B., Chun, H.-W. and Lee, S., 2019: A Study of Iterative QC-BC Method for AMSU-A in the KIAPS Data Assimilation System, Atmosphere, Korean Meteorological Society, 29(3), pp. 241–255. doi: 10.14191/ATMOS.2019.29.3.241.

2.

Han, H.-J., Kwon, I.-H., Kang, J.-H., Chun, H.-W., Lee, S., Lim, S., & Kim, T., 2019: Analysis of Forecast Performance by Altered Conventional Observation Set, Atmosphere, Korean Meteorological Society, 29(1), 21–39. https://doi.org/10.14191/ATMOS.2019.29.1.021

SCI

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

SCI(E)

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

Domestic/International Non-SCI Journal

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.

SCI(E)

Dynamics

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.

Data Assimilation

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

Physics

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.

Domestic/International Non-SCI Journal

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.

International SCI Journal

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

International Non-SCI Journal

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.

International SCI Journal

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.

International Non-SCI Journal

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.

Domestic Non-SCI Journal

1.

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.

2.

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.

International SCI Journal

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.

International Non-SCI Journal

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.

Domestic Non-SCI Journal

1.

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.

2.

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.

3.

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.

International SCI Journal

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:

International Non-SCI Journal

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

Domestic Non-SCI Journal

1.

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.

2.

2. 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.

3.

3. 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.

4.

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.

International SCI Journal

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.

International Non-SCI Journal

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.

Domestic Non-SCI Journal

1.

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.

2.

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.

International SCI Journal

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.

International Non-SCI Journal

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.

Domestic Non-SCI Journal

1.

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

R&D

Research paper