PUBLICATIONS

[ SCI(E) Journals]

2024
*) Ko, J.-S., S. H. Kim, J. Jo, S. Jang, H.-J. Song, K.-S. S. Lim*, 2024: Neural Network Emulator for the Bulk-type Cloud Microphysics Scheme: Application of the Melting Processes, Expert Sys. Appl., Submitted.
*) Kim, K.-B., and K.-S. S. Lim*, 2024:  Quantifying the sensitivity of ice–crystal characteristics–related parameters to the simulated winter precipitation over the Korean Peninsula, Earth Space Sci., In revision.
​*) Song, J.I., U.-Y. Byun, K.-S. S. Lim*, J. Kwon, S.-H. Park, H. H. Shin, S.-Y. Park, J.-S. Ko, H.-J. Ryoo, and E.-C. Chang, 2024: Updated physics parameterizations for the short-range weather forecast system of the Korea Air Force, Adv., Adv, Meteor., In revision.
*) Shin, U, S.-H. Park, W. Skamarock, G. Lee, K.-S. S. Lim, M. Joh, 2024: A comparison of Numerical Characteristics in the Regional MPAS and WRF models using Low-Level Wind Analysis during Heavy Snowfall Episodes over Complex Terrain, Mon. Wea. Rev., In revision.
40) Nam, J., H. Yeo, K.-S. S. Lim, S.-Y. Jun, J.-H. Kim, S.-J. Park, Y, Cho, S.-Y. Hong, S.-W. Kim, 2024: Evaluation of Four Microphysical Schemes Simulating Arctic Low-Level Clouds Observed during ACLOUD Experiment, Asia-Pacific J. Atmos. Sci., 60, 727-740.
39) 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, Atmos. Res., 312, 107753. 
38) Kim, J., S. Park, G. M. McFarquhar, A. J. Baran, J. W.,Cha, K. Lee, S. S. Lee, C. H. Jung, K.-S. S. Lim, and J. Um, 2024: Improved calculation of single-scattering properties of frozen droplets and frozen-droplet aggregates observed in deep convective clouds, Atmos. Chem. Phys., 24(22), 12707-12726.
37) Park, S.-Y., K.-S. S. Lim*, K. Kim, G. Lee, J. A. Milbrandt, 2024:  Introduction of Prognostic Graupel Density in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign, Geosci. Model Dev., 17(18), 7199-7218.
36) 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, J. Appl. Meteor. Climatol., 63(8), 893-907.

2023
35) Kwon, Juhee, K.-S. S. Lim*, S.-Y. Park, K. Kim, and G. Lee, 2023: Effects of Prognostic Number Concentrations of Snow and Graupel on the Simulated Precipitation over the Korean Peninsula, Wea. Forecasting, 38(12), 2591-2612.
34)  Lee, J., H.-J. Lee, K.-B. Kim, H. H. Shin, J.-M. Lim, J. Hong, K.-S. S. Lim*, 2023: Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields, Atmos. Res., 292, 106882.
33) Park, S.-Y., and K.-S. S. Lim*, 2023:  Implementation of prognostic cloud ice number concentrations for the Weather Research Forecasting (WRF) Double-Moment 6-class (WDM6) microphysics scheme, J. Adv. Model. Earth Syst., 15(2), e2022MS003009.

2022
32) Kim, K.-B., K.-S. S. Lim*, and J. Lee, 2022: Numerical errors in ice microphysics parameterizations and their effects on simulated regional climate, Asia-Pacific J. Atmos. Sci., 58(5), 679-695.
31) Son, R., P.-L. Ma, H. Wang, P. J. Rasch, S.-Y. S. Wang, H. Kim, J.-H. Jeong, K.-S. S. Lim, and J.-H. Yoon*, 2022: Deep Learning Provides Substantial Improvements to County-Level Fire Weather Forecasting Over the Western United States, J. Adv. Model. Earth Syst.,, 14, e2022MS002995. https://doi.org/10.1029/2022MS002995
30) Song, H.-J.*, and K.-S. S. Lim, 2022: Evaluation of bulk microphysics parameterizations for simulating the vertical structure of heavy rainfall between Korea and the United States, Wea. Clim., 37, 100490.
29) Ko, J.-S., K.-S. S. Lim*, K. Kim, G. Lee, G. Thompson, and A. Berne, 2022: Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign, Geosci. Model Dev., 15, 4529–4553.
28) Lee, J., K. Min*,  and K.-S. S. Lim, 2022: Comparing 3DVAR and hybrid radar data assimilation methods for heavy rain forecast, Atmos. Res., 270, 106062.

2021
27) Jang, S.-B., K.-S. S. Lim*, J. Ko, K. Kim, G. Lee, S.-J. Cho, K.-D. Ahn, and Y. H. Lee, 2021: Revision of WDM7 microphysics scheme and evaluation for precipitating convection over the Korean peninsula, Remote Sens., 13, 3860.
26)  Tapiador, F. J.*, A. Villalba-Pradas, A. Navarro, E. García-Ortega, K.-S. S. Lim, K. Kim, K. D. Ahn, and G. Lee, 2021: Future Directions in Precipitation Science, Remote Sens., 13, 1074.
25) 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, Nucl. Eng. Technol., 53, 244-252.

2020
24) Bang, W., G. Lee*, A. Ryzhkov, T. Shuur, K.-S. S. Lim, 2020: Comparison of microphysical characteristics between southern Korea and Oklahoma using two-dimensional video disdrometer data, J. Hydrometeorol., 21(11), 2675-2690.
23) Lim, K.-S. S., E.-C. Chang*, R. Sun, K. Kim, F. J. Tapiador, G. Lee, 2020: Evaluation of simulated winter precipitation using WRF-ARW during the ICE-POP 2018 field campaign, Wea. Forecasting, 35(5), 2199-2213.
22)  Park, J., H. Kim, S.-Y. S Wang, J.-H. Jeong, K.-S. S. Lim, L. Matthew, and J.-H. Yoon*, 2020: Intensification of the East Asian summer monsoon lifecycle based on observation and CMIP6, Environ. Res. Lett., 15, 0940b9.

2019
21) Lim, K.-S. S., L. Riihimaki*, J. Kleiss, L. K. Berg, Y. Shi, W. I. Gustafson Jr., Y. Zhang, K. Johnson, 2019: Long-term retrievals of cloud type and fair-weather shallow cumulus events at the ARM SGP site, J. Atmos. and Oceanic Tech., 36, 2031-2043. 
20) Lim, K.-S. S.*, J.-M. Lim, H. H. Shin, J. Hong, Y.-Y. Ji, W. Lee, 2019: Impacts of subgrid-scale orography parameterization on simulated atmospheric fields in the high-resolution atmospheric forecast model, Metero. Atmos. Phys., 131, 975-985.

~ 2018
19) Choi, G.-S., J.-M. Lim, K.-S. S. Lim, K.-H. Kim, J.-H. Lee, 2018: Characteristics of Regional scale atmospheric dispersion around Ki-Jang research reactor using Lagrangian Gaussian Puff Dispersion model, Nucl. Eng. Technol., 50, 68-79.
18) Ji, Y.-Y., C.-J. Kim, K.-S. S. Lim, W. Lee, H.-S. Chang, K. H. Chung, 2017: A new approach for the determination of does rate and radioactivity for detected gamma nuclides using an environmental radiation monitor based on an NaI(TI) detector, Health Phys., 113(4), 304-314.
17) Ovchinnikov, M., K.-S. S. Lim, V. E. Larson, M. Wong, K. Thayer-Calder, and S. Ghan, 2016:  Vertical  overlap  of  probability  density  functions  of  cloud  and  precipitation hydrometeors, J. Geophys. Res.121, doi:10.1002/2016JD025158.
16) 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.
15) Bae, S., S.-Y. Hong, and K.-S. S. Lim, 2016: Coupling WRF Double-Moment 6-class (WDM6) microphysics schemes to RRTMG radiation scheme in Weather Research Forecasting model, Adv. Meteor., Volume 2016, Article ID 5070154, 11 pages
14) Lim, K.-S. S., L. Riihimaki, J. M. Comstock, B. Schmid, Y. Shi, C. Sivaraman, and G. McFarquhar, 2016: Evaluation of long-term surface-retrieved cloud-droplet number concentration with in situ aircraft observations, J. Geophys. Res., 121, doi:10.1002/2015JD024082.
13) Bae, S., R. Park, J. I. Jeong, 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 environ., 541, 1531-1539.
12) Lim, K.-S. 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 resolutions, Wea. Forecasting, 29, 1143–1154.
11) Hagos, S., Z. Feng, C. Burleyson, K.-S. S. Lim, C. L. Long, D. Wu, and G. Thompson, 2014: Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign, J. Geophys. Res., 119, 12,052-12,068, doi:10.1002/2014JD022143.
10) Grasso, L., D. T. Lindsey, K.-S. S. Lim, A. Clark, D. Bikos, and S. Dembek, 2014: Evaluation of and suggested improvements to the WSM6 microphysics in WRF-ARW using synthetic and observed GOES-13 Imagery, Mon. Wea. Rev., 142, 3635–3650.
9) Lim, K.-S. S., J. Fan, L. R. Leung, P.-L. Ma, B. Singh, C. Zhao, Y. Zhang, G. Zhang, and X. Song, 2013: Investigation of aerosol indirect effects using a cumulus microphysics par ameterization in a regional climate model, J. Geophys. Res., 119, 906–926, doi: 10.1002/2013JD020958. 
8) Lim, K.-S. S., and S.-Y. Hong, 2012: Investigation of aerosol indirect effects on simulated flash-flood heavy rainfall over Korea, Metero. Atmos. Phys. 118, 199-214.
7) Lim, K.-S. S., S.-Y. Hong, S. S. Yum, Jimy Dudhia, and Joseph B. Klemp, 2011: Aerosol effects on the development of a supercell storm in a double‐moment bulk‐cloud microphysics scheme, J. Geophys. Res., 116, D02204, doi:10.1029/2010JD014128.
6) Hong, S.-Y., N.-K. Moon, K.-S. S. Lim, and J.-W. Kim, 2010: Future climate change scenarios over Korea using a multi-nested downscaling system: A pilot study, Asia-Pacific J. Atmos. Sci., 46(4), 425-435.
5)  Hong,  S.-Y.,  K.-S.  S.  Lim,  Y.-H.  Lee,  J.-C.  Ha,  H.-W.  Kim,  and  S.-J.  Ham,  2010: Evaluation of the WRF double-moment 6-class microphysics scheme for precipitating convection, Adv. Meteor., Volume 2010, Article ID 707253, 10 pages.
4) Lim, K.-S. S., and S.-Y. Hong, 2010: Development of an effective double-moment cloud microphysics scheme with prognostic Cloud Condensation Nuclei (CCN) for weather and climate models, Mon. Wea. Rev., 138, 1587-1612.
3) Hong, S.-Y., K.-S. S. Lim, J.-H. Kim, J.-O. J. Lim, and J. Dudhia, 2009: Sensitivity study of cloud-resolving convective simulations with WRF using two bulk microphysical parameterizations: Ice-phase microphysics versus sedimentation effects, J. Appl. Meteor. Clim., 48, 61-76.
2) Dudhia, J., S.-Y. Hong, and K.-S. S. Lim, 2008: A new method for representing mixed- phase particle fall speeds in bulk microphysics parameterizations, J. Meteor. Soc. Japan, 86A, 33-44.
1) Lim, K.-S. S., and S.-Y. Hong, 2007: Numerical Simulation of Heavy Snowfall over the Ho-Nam Province of Korea in December 2005, Asia-Pacific J. Atmos. Sci., 43, 161-173.

[ KCI Journals]
5) Kim, K.-B., K. Kim, G. Lee, and K.-S. S. Lim*, 2024: Effects of Parameters Defining the Characteristics of Raindrops in the Cloud Microphysics Parameterization on the Simulated Summer Precipitation over the Korean Peninsula, Atmosphere, 34(3), 305-317. [In Korean]
4) 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 subgrid-scale orography parameterization and high-resolution surface data on the simulated wind fields in the WRF model under the different synoptic-scale environment, Atmosphere, 32(2), 103-118. [In Korean]
3) D.-S. Kim, K.-S. S. Lim*, K. Kim, and G.W. Lee, 2020: Effects of the realistic description for the terminal fall velocity-diameter relationship of raindrops on the simulated summer precipitation over South Korea, Atmosphere, 30(4), 421-437. [In Korean]
2) Lim, K.-S. S.*, 2020: Effects of the mass-size relationship for snow on the simulated surface precipitation, J. Korean Earth Sci. Soc., 41(1), 1-18. [In Korean]
1) Lim, K.-S. S.*, 2019: Bulk-type cloud microphysics parameterization in atmospheric models, Atmosphere, 29(2),1-13. [In Korean]

[Books]
1) 김경익, 김병곤, 이규원, 임교선, 장기호, 차주완: 구름물리학, 동화기술, 2021년 9월, 460pp.

[Patents]​
1) 임교선, 김기병, 장성빈: 강수 특성에 따른 손쉬운 모수 개선을 포함하는 Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) 구름미세물리 모수화 모듈, 2023년 1월, 등록

[Technical Reports]
2) Flynn, D., Y. Shi, K.-S. S. Lim, and L. Riihimaki, 2018: Shallow Cumulus (SHALLOWCUMULUS) Value-Added Product. ARM Research Facility. DOE/SC-ARM-TR-214.
1) Flynn, D., Y. Shi, K.-S. S. Lim, and L. Riihimaki. 2017: Cloud Type Classification (cldtype) Value-Added Product. Ed. by Robert Stafford, ARM Research Facility. DOE/SC-ARM-TR-200.