Publications

Books

Park, S.K., Ed., 2023: Numerical Weather Prediction: East Asian Perspectives, Springer, 581 pp. [hardcover] [ebook] [front matter]
Park, S.K., and M. Zupanski, 2022: Principles of Data Assimilation, Cambridge University Press, 400 pp. [hardcover] [ebook] [front matter]
Park, S.K., and L. Xu, Eds., 2021: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Springer, 705 pp. [homepage] [front matter]
Park, S.K., and L. Xu, Eds., 2017: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III). Springer, 553 pp. [homepage] [front matter]
Park, S.K., and L. Xu, Eds., 2013: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II). Springer, 730 pp. [homepage] [front matter]
Park, S.K., and L. Xu, Eds., 2009: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Springer, 455 pp. [homepage] [front matter]

Refereed Book Chapters

Lim, S., and S.K. Park, 2023: Model Error Representations Using the Covariance Inflation Methods in Ensemble Data Assimilation System. In Numerical Weather Prediction: East Asian Perspectives, S.K. Park, Ed., Springer, 295-304. [html]
Yoon, J.W., S. Lim, and S.K. Park, 2023: Reducing Model Uncertainty in Physical Parameterizations: Combinational Optimizations Using Genetic Algorithm. In Numerical Weather Prediction: East Asian Perspectives, S.K. Park, Eds, Springer, 179-202. [html]
Park, S.K., H.-J. Gim, and S. Park, 2023: Novel Physical Parameterizations in Vegetated Land Surface Processes for Carbon Allocations and Snow-Covered Surface Albedo. In Numerical Weather Prediction: East Asian Perspectives, S.K. Park, Ed., Springer, 157-178. [html]
Lim, S., and S.K. Park, 2022: Stochastic Representations for Model Uncertainty in the Ensemble Data Assimilation System. In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), S.K. Park, and L. Xu, Eds., Springer, 143-153. [html]
Hussain M., and S.K. Park, 2021: Optimization Techniques in ANN for Assessing Meteorological Droughts in Dhaka and Chittagong, Bangladesh. Chapter 7 in Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part 1), N. Thakur, and B.D. Parameshachari, Eds., Bentham Science Publishers, 114-125. [html]
Hussain M., N. Sharmin, and S.K. Park, 2021: Estimating ANNs in forecasting Dhaka air quality. In Proceedings of International Joint Conference on Advances in Computational Intelligence. Uddin, M.S., and J.C. Bansal, Eds., Springer, Singapore, 355-369. [html]
Park S.K., 2018: Haines Index. In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, Manzello S., Eds., Springer, Cham. [html]
Park, S.K., S. Lim, and M. Zupanski, 2017: A coupled atmosphere-chemistry data assimilation: Impact of ozone observation on structure of a tropical cyclone. Chapter 20 in Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III), S.K. Park, and L. Xu, Eds., Springer, 455-466. [html]
Yu, X., S.K. Park, and Y.H. Lee, 2013: Parameter estimation using an evolutionary algorithm for QPF in a tropical cyclone. Chapter 27 in Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II), S.K. Park, and L. Xu, Eds., Springer, 707-715. [html]
Lee, Y.H., S.K. Park, D.-E. Chang, J.-C. Ha, and H.-S. Lee, 2009: Parameter estimation using the genetic algorithm in terms of quantitative precipitation forecast. Chapter 11 in Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, S.K. Park, and L. Xu, Eds., Springer, 217-227. [html][pdf]
Park, S.K., K.K. Droegemeier, and C.H. Bischof, 1996: Automatic differentiation as a tool for sensitivity analysis of a convective storm in a 3-D cloud model. Chapter 18 in Computational Differentiation: Techniques, Applications, and Tools, M. Berz, C. Bischof, G. Corliss, and A. Griewank, Eds., SIAM, Philadelphia, PA, 205-214. [html] [pdf]

Patents

Park, S.K., and S. Park, 2023: The Micro-GA-WRF Combined System for Optimization of Physical Parameterization Scheme Set for the WRF Model. Application No. 10-2020-0074917 (Application Date: 2020. 06. 19), Patent No. 10-2522597 (Registration Date: 2023. 04. 12), The Korean Intellectual Property Oﬃce.Lee, W.Y., H.H. Sung, and S. K. Park, 2022: Landslide Prediction Apparatus and Method to Understand the Geo-environmental Characteristics Related to Landslide. Application No. 10-2020-0153980 (Application Date: 2020. 11. 17), Patent No. 10-2387940 (Registration Date: 2022. 04. 13), The Korean Intellectual Property Oﬃce.
Park, S.K., and J.W. Yoon, 2023: A method and an apparatus for optimizing and accelerating a system in which a micro-genetic algorithms and a Numerical Weather Prediction model are combined. Application No. 10-2023-0163547 (Application Date: 2023. 11. 22), The Korean Intellectual Property Oﬃce.
Park, S.K., and J.W. Yoon, 2022: Method, Apparatus and Computer-Readable Medium for Determining the Optimal Combination of a Physical Process Parameterization Schemes and Parameters Using a Micro Genetic Algorithm. Application No. 10-2022-0157411 (Application Date: 2022. 11. 22), The Korean Intellectual Property Oﬃce.
Park, S.K., and S. Lim, 2022: A Method and Apparatus for Optimizing Parameter of Noah Land Surface Model by Coupling Parallelized Micro-Genetic Algorithm and Noah Land Surface Model. Application No. 10-2022-0049585 (Application Date: 2022. 04. 21), The Korean Intellectual Property Oﬃce.
Lee, H. W., Y.-S. Choi, and S. K. Park, 2020: Prediction Method and Instrument for Crop Production Amount. Application No. 10-2018-0015320 (Application Date: 2018. 02. 07), Patent No. 10-2093544 (Registration Date: 2020. 03. 19), The Korean Intellectual Property Oﬃce.
Park, S.K., Y.-S. Choi, H.-W. Lee, and H.-J. Gim, 2018: Integrated Climate/Environment Prediction System and Method. Application No. 10-2017-0059561 (Application Date: 2017. 05. 12), Patent No. 10-1879988 (Registration Date: 2018. 07. 12), The Korean Intellectual Property Oﬃce.
Kim, J., H. Lee, R. Park, J.-H. Kim, K.-M. Lee, C.-H. Song, Y.-J. Kim, M.-H. Ahn, J.-M. Yoo, S.K. Park, 2017: Apparatus for Analyzing Atmosphere. Application No. 10-2013-0016368 (Application Date: 2013. 2. 15), Patent No. 2014100527202 (Registration Date: 2017. 04. 12), The State Intellectual Property Oﬃce of the People’s Republic of China.
Choi, Y.-S., H. Kim, and S.K. Park, 2017: A prognostic deciduous forest simulation system with carbon allocation. Application No. 10-2015-0129647 (Application Date: 2015. 09. 14), Patent No. 10-1722850 (Registration Date: 2017. 03. 28), The Korean Intellectual Property Oﬃce.
Hong, S.B, S.K. Park, and Y.-S. Choi, 2014: Method for obtaining the best optimized model through coupling a multi-scheme model and a genetic algorithm. Application No. PATENT-2012-0133461 (Application Date: 2012. 11. 23), Patent No. 10-1460411 (Registration Date: 2014. 11. 04), The Korean Intellectual Property Office.
Hong, S., S.K. Park, and Y.-S. Choi, 2014: Improvement method of surface water simulations using the Noah land surface model with multi-physics options and the micro-genetic algorithm. Application No. PATENT-2012-0133619 (Application Date: 2012. 11. 23), Patent No. 10-1460413 (Registration Date: 2014. 11. 04), The Korean Intellectual Property Office.
Choi, Y.-S., S. Hong, B. Myoung, and S.K. Park, 2014: Method and apparatus for prediction annual vegetation variation using precursory meteorological factors modulating variability of vegetation. Patent No. 10-1410770 (Registration Date: 2014. 06. 17), The Korean Intellectual Property Office.
Park, S.K., and X. Yu, 2013: A Genetic Algorithm Interface System for Numerical Models. Patent No. 10-1286909 (Registration Date: 2013. 07. 10), The Korean Intellectual Property Office.

Refereed Journal Articles (SCI) (JCR IF and Rank at Publication Time)

Yoon, J.W., E. Lee, and S.K. Park, 2024: Improving the Asian dust storm prediction using WRF-Chem through combinational optimization of physical parameterization schemes. Atmos. Env., 326, 120461; doi: 10.1016/j.atmosenv.2024.120461. (2022 IF 5.0; Top 22.4%) [html][pdf]
O, S., and S.K. Park, 2024: Global ecosystem responses to flash droughts are modulated by background climate and vegetation conditions. Comm. Earth Env., 5, 88; doi: 10.1038/s43247-024-01247-4. (2022 IF 7.9; Top 4.96%) [html][pdf]
Lee, W.Y, H.-J. Kim, and S.K. Park, 2023: Parameterizations of Snow Cover, Snow Albedo and Snow Density in Land Surface Models: A Comparative Review. Asia-Pac. J. Atmos. Sci., 60, doi: 10.1007/s13143-023-00344-2. (2022 IF 2.3; Top 69.2%) [html][pdf]
O, S., and S.K. Park, 2023: Flash drought drives rapid vegetation stress in arid regions in Europe. Env. Res. Lett., 18, 014028; doi: 10.1088/1748-9326/acae3a. (2021 IF 8.501; Top 16.3%) [html][pdf]
Lim, S., H.-J. Gim, E. Lee, S. Lee, W.Y. Lee, Y.H. Lee, C. Cassardo, and S.K. Park, 2022: Optimization of snow-related parameters in the Noah land surface model (v3.4.1) using a micro-genetic algorithm (v1.7a). Geosci. Model Dev., 15, 8541–8559. (2021 IF 6.892; Top 5.5%) [html][pdf]
O, S., R. Orth, U. Weber, and S.K. Park, 2022: High-resolution European daily soil moisture derived with machine learning (2003–2020). Sci. Data, 9, 701; doi: 10.1038/s41597-022-01785-6. (2021 IF 8.501; Top 16.3%) [html][pdf]
Lee, E., R. Todling, B.M. Karpowicz, J. Jin, A. Sewnath, and S.K. Park, 2022: Assessment of Geo-Kompsat-2A Atmospheric Motion Vector data and its assimilation impact in the GEOS Atmospheric Data Assimilation System. Remote Sens., 14(21), 5287; doi: 10.3390/rs14215287. (2021 IF 5.349; Top 20.0%) [html][pdf]
Yoon, J.W., S. Lim, and S.K. Park, 2021: Combinational optimization of the WRF physical parameterization schemes to improve numerical sea breeze prediction using micro-genetic algorithm. Appl. Sci., 11(23), 11221; doi: 10.3390/app112311221. (2020 IF 2.679; Top 41.8%) [html]
Park, S., and S.K. Park, 2021: A micro-genetic algorithm (GA v1.7.1a) for combinatorial optimization of physics parameterizations in the Weather Research and Forecasting model (v4.0.3) for quantitative precipitation forecast in Korea. Geosci. Model Dev., 14, 6241–6255. (2020 IF 6.135; Top 6.5%) [html]
Hussain, M., and S.K. Park, 2021: Systematic analysis of wind resources for eolic potential in Bangladesh. Appl. Sci., 11(17), 7924; doi: 10.3390/app11177924. (2020 IF 2.679; Top 41.8%) [html]
Lee, W.Y., S.K. Park, and H.H. Sung, 2021: The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea. Landslides, 18, 1721-1739. (2019 IF 4.708; Top 5.2%) [html]
Chang, D.Y., J. Yoon, J. Lelieveld, S.K. Park, S.S. Yum, J. Kim, and S. Jeong, 2021: Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019–2020. Environ. Res. Lett., 16, 044041; doi: 10.3390/app10249010. (2019 IF 6.096; Top 6.5%) [html][pdf]
Lim, S., M.-S. Koo, I.-H. Kwon, and S.K. Park, 2020: Model error representation using the stochastically perturbed hybrid physical–dynamical tendencies in ensemble data assimilation system. Appl. Sci., 10(24), 9010; doi: 10.3390/app10249010. (2019 IF 2.474; Top 35.2%) [html]
Park, S. K., and S. Park, 2020: On a flood-producing coastal mesoscale convective storm associated with the Kor'easterlies: Multi-data analyses using remote sensing, in-situ observations and storm-scale model simulations. Remote Sens., 12(9), 1532; doi: 10.3390/rs12091532. (2018 IF 4.118; Top 23.3%) [html][pdf]
Kim, J., U. Jeong, M.-H. Ahn, J. H. Kim, R. J. Park, H. Lee, C. H. Song, Y.-S. Choi, K.-H. Lee, J.-M. Yoo, M.-J. Jeong, S. K. Park, and Coauthors, 2020: New era of air quality monitoring from space: Geostationary Environment Monitoring Spectrometer (GEMS). Bull. Amer. Meteor. Soc., 101, E1-E22. (2018 IF 8.166; Top 3.5%) [html][pdf]
Cassardo, C., S.K. Park, S. O., and M. Galli, 2018: Projected changes in soil temperature and surface energy budget components over the Alps and and northern Italy. Water, 10, 954, doi:10.3390/w10070954. (2017 IF 2.069; Top 37.8%) [html] [pdf]
Park, S., S.K. Park, J.W. Lee, Y. Park, 2018: Geostatistical assessment of warm-season precipitation observations in Korea based on composite precipitation and satellite water vapor data. Hydrol. Earth Syst. Sci., 22, 3435-3452, https://doi.org/10.5194/hess-22-3435-2018, 2018. (2016 IF 4.437; Top 3.4%) [html] [pdf]
Cassardo, C., S.K. Park, M. Galli, and S. O., 2018: Climate change over the high-mountain versus plain areas: Effects on the land surface hydrologic budget in the Alpine area and northern Italy. Hydrol. Earth Syst. Sci., 22, 3331–3350, https://doi.org/10.5194/hess-22-3331-2018. (2016 IF 4.437; Top 3.4%) [html] [pdf]
Gim, H.-J., B.M. Thakuri, S.K. Park, M. Kang, J. Kim, and C.-H. Ho, 2017: An improved parameterization of the allocation of assimilated carbon to plant parts in vegetation dynamics for Noah-MP. J. Adv. Modeling Earth Syst., 9, 1776–1794, doi:10.1002/2016MS000890. (2016 IF 4.189; Top 10.6%) [html] [pdf]
Park, S.K., S. Oh, and C. Cassardo, 2017: Soil temperature response in Korea to a changing climate using a land surface model. Asia-Pacific J. Atmos. Sci., 53(4), 457-470, DOI:10.1007/s13143-017-0048-x. (2016 IF 1.650; Top 55.3%) [html]
Lee, E., M. Zupanski, D. Zupanski, and S.K. Park, 2017: Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology-aerosol data assimilation for an Asian dust storm. Remote Sens. Environ., 193, 38–53. (2015 IF 5.881; Top 3.6%) [html]
Choi, Y.-S., H.-J. Kim, C.-H. Ho, S.-J. Jeong, S.K. Park, and M. J. Hayes, 2017: Climatic influence on corn sowing date in the Midwestern United States. Int. J. Climatol., 37, 1595–1602. (2015 IF 3.609; Top 16.7%) [html]
Park, S., and S.K. Park, 2016: Parameterization of the snow-covered surface albedo in the Noah-MP Version 1.0 by implementing vegetation effects. Geosci. Model Dev., 9, 1073–1085. (2014 IF 3.654; Top 8.6%) [html]
Kim, J., and S.K. Park, 2016: Uncertainties in calculating precipitation climatology in East Asia. Hydrol. Earth Syst. Sci., 20, 651–658. (2014 IF 3.535; Top 4.9%) [html]
Hong, S., S.K. Park, and X. Yu, 2015: Scheme-based optimization of land surface model using a micro-genetic algorithm: Assessment of its performance and usability for regional applications. SOLA, 11, 129-133. (2014 IF 0.939; Top 83.2%) [html][pdf]
Lim, S., S.K. Park, and M. Zupanski, 2015: Ensemble data assimilation of total column ozone using a coupled meteorology-chemistry model and its impact on the structure of Typhoon Nabi (2005). Atmos. Chem. Phys., 15, 10019-10031. (2014 IF 5.053; Top 3.9%) [html][pdf]
El-Askary, H., S.K. Park, S. Nickovic, and M. Chin, 2015: Remote sensing and modeling of atmospheric dust and studying its impact on environment, weather, and climate. Adv. Meteor., 2015, http://dx.doi.org/10.1155/2015/854968. (2013 IF 1.348; Top 64.5%) [html]
El-Askary, H., S.K. Park, M.H. Ahn, A. Prasad, and M. Kafatos, 2015: On the detection and monitoring of the transport of an Asian dust storm using multi-sensor satellite remote sensing. J. Environ. Inform., 25(2), 99-116. (2013 IF 3.773; Top 10.7%) [html]
Park, S.K., S. Lim, and M. Zupanski, 2015: Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation. Geosci. Model Dev., 8, 1315-1320. (2013 IF 6.086; Top 2.9%) [html][pdf]
Hong, S., X. Yu, S.K. Park, Y.S. Choi, and B. Myoung, 2014: Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm. Geosci. Model Dev., 7, 2517-2529. (2013 IF 6.086; Top 2.9%) [html][pdf]
Jeong, S.-J., C.-H. Ho, S. Piao, J. Kim, P. Ciais, Y.-B. Lee, J.-G. Jhun, and S.K. Park, 2014: Effects of double cropping on summer climate of the North China Plain and neighbouring regions. Nature Clim. Change, 4, 615-619, doi:10.1038/NCLIMATE2266. (2013 IF 15.2958; Top 0.9%) [html]
Choi, Y.-S., H. Cho, C.-H. Ho, R.S. Lindzen, S.K. Park, and X. Yu, 2014: Influence of non-feedback variations of radiation on the determination of climate feedback. Theor. Appl. Climatol., 115, 355-364, doi:10.1007/s00704-013-0998-6. (2013 IF 1.742; Top 50%) [html]
Yu, X., S.K. Park, Y.H. Lee, and Y.-S. Choi, 2013: Quantitative precipitation forecast of a tropical cyclone through optimal parameter estimation in a convective parameterization. SOLA, 9, 36-39. (2012 IF 1.337; Top 76.4%) [html] [pdf]
Myoung, B., Y.-S. Choi, S. Hong, and S. K. Park, 2013: Inter- and intra-annual variability of vegetation in the northern hemisphere and its association with precursory meteorological factors. Global Biogeochem. Cycles, 27, doi:10.1002/gbc.20017. (2012 IF 4.682; Top 3.5%) [html]
Myoung, B., Y.-S. Choi, S.-J. Choi, and 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, D12113, doi:10.1029/2011JD017143. (2011 IF 3.021; Top 12.4%) [html]
Jeong, J.-J., S. Bartsch, J. H. Fleckenstein, E. Matzner, J. D. Tenhunen, S. D. Lee, S. K. Park, and J.-H. Park, 2012: Differential storm responses of dissolved and particulate organic carbon in a mountainous headwater stream, investigated by highfrequency, in situ optical measurements. J. Geophys. Res., 117, G03013, doi:10.1029/2012JG001999. (2011 IF 3.021; Top 12.4%) [html]
Myoung, B., Y.-S. Choi, and S. K. Park, 2011: A review on vegetation models and applicability to climate simulations at regional scale. Asia-Pacific J. Atmos. Sci., 47, 463-475. (2010 IF 0.855; Top 79.5%) [html]
Ryu, J. H., J. H. Lee, S. Jeong, S. K. Park, and K. Han, 2011: The impacts of climate change on local hydrology and low flow frequency in the Geum River Basin, Korea. Hydrolog. Proc., 25, 3437–3447, doi: 10.1002/hyp.8072. (2010 IF 2.068; Top 13.2%) [html]
Park, T.-W., C.-H. Ho, S.-J. Jeong, Y.-S. Choi, S. K. Park, and C.-K. Song, 2011: Different characteristics of cold day and cold surge frequency over East Asia in a global warming situation. J. Geophys. Res., 116, D12118, doi: 10.1029/2010JD015369. (2010 IF 3.303; Top 9.0%) [html][pdf]
Galli, M., S. Oh, C. Claudio, and S. K. Park, 2010: The occurrence of cold spells in the Alps related to climate change. Water, 2(3), 363-380; doi:10.3390/w2030363. (2012 IF 0.973; Top 63.9%: 2009 IF N/A) [html] [pdf]
Kim, H. H., S. K. Park, D. Zupanski, and M. Zupanski, 2010: Uncertainty analysis using the maximum likelihood ensemble filter and WRF and comparison with dropwindsonde observations in Typhoon Sinlaku (2008). Asia-Pacific J. Atmos. Sci., 46, 317-325. (2009 IF 0.355; Top 93.7%) [html][pdf]
Chang, D.-E., D.-K. Lee, and S. K. Park, 2010: Observational experiment and predictability of high-impact weather. Asia-Pacific J. Atmos. Sci., 46, 231-232. (2009 IF 0.355; Top 93.7%) [html]
Lee, Y.H., J.-S. Lee, S. K. Park, D.-E. Chang, and H.-S. Lee, 2010: Temporal and spatial characteristics of fog occurrence over the Korean Peninsula. J. Goephys. Res., 115, D14117, doi:10.1029/2009JD012284. (2009 IF 3.082; Top 11.7%) [html][pdf]
Cassardo, C., S. K. Park, B. M. Thakuri, D. Priolo, and Y. Zhang, 2009: Energy and hydrologic budgets in the surface layer during a monsoon season in Korea. J. Hydrometeor., 10, 1379-1396. (2008 IF 2.953; Top 17.3%) [html][pdf]
Kim, Y. H., K.-I. Chang, J. J. Park, S. K. Park, S.-H. Lee, Y.-G. Kim, and K. T. Jung, and K. Kim 2009: Comparison between a reanalyzed product by 3-dimensional variational assimilation technique and observations in the Ulleung Basin of the East/Japan Sea. J. Mar. Syst., 78, 249-264. (2008 IF 2.255; Top 18.4%) [html]
Park, S. K., D.-L. Zhang, and H. H. Kim, 2008: Impact of dropwindsonde data on the track forecasts of a tropical cyclone: An observing-systems simulation experiment study. Asia-Pacific J. Atmos. Sci., 44, 85-92. (2009 IF 0.355; Top 93.7%: 2007 IF N/A) [html]
Kim, J.-H., C.-H. Ho, H.-S. Kim, C.-H. Sui, and S. K. Park, 2008: Systematic variation of summertime tropical cyclone activity in the western North Pacific in relation to the Madden-Julian oscillation. J. Climate, 21, 1171-1191. (2007 IF 3.550; Top 7.9%) [pdf]
Park, S. K., and E. Lee, 2007: Synoptic features of orographically enhanced heavy rainfall on the east coast of Korea associated with Typhoon Rusa (2002). Geophys. Res. Lett., 34, L02803, doi:10.1029/2006GL028592. (2006 IF 2.602; Top 7.7%) [pdf]
Park, M.-S., Y.-S. Choi, C.-H. Ho, C.-H. Sui, S. K. Park, and M.-H. Ahn, 2007: Regional cloud characteristics over the tropical northwestern Pacific as revealed by Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar and TRMM Microwave Imager. J. Geophys. Res., 112, D05209, doi:10.1029/2006JD007437. (2006 IF 2.800; Top 6.9%) [html]
Lee, Y. H., S. K. Park, and D.-E. Chang, 2006: Parameter estimation using the genetic algorithm and its impact on quantitative precipitation forecast. Annal. Geophys., 24, 3185-3189. (2005 IF 1.450; Top 27.9%) [pdf]
Kim, J.-H., C.-H. Ho, C.-H. Sui, and S. K. Park, 2005: Dipole structure of interannual variations in summertime tropical cyclone activity over East Asia. J. Climate, 18, 5344-5356. (2004 IF 3.500; Top 2.3%) [pdf]
Song, H.-J., S.-H. Huh, C.-H. Ho, J.-H. Kim, and S. K. Park, 2005: Typhoon track prediction by support vector machine using data reduction methods. Lecture Notes in Artificial Intelligence, 3801, 503-511. (2004 IF 0.251; Top 89.8%) [html]
Park, S. K., and E. Kalnay, 2004: Inverse three-dimensional variational data assimilation for an advection-diffusion problem: Impact of diffusion and hybrid application. Geophys. Res. Lett., 31, L04102, doi:10.1029/2003GL018830. (2003 IF 2.422; Top 9.4%) [html] [pdf]
Gao, B.-C., P. Yang, G. Guo, S. K. Park, W. J. Wiscombe, and B. Chen, 2003: Measurements of water vapor and high clouds over the Tibetan plateau with the Terra MODIS instrument. IEEE Trans. Geosci. Remote Sensing, 41, 895-900. (2002 IF 1.603; Top 13.8%) [html] [pdf]
Park, S. K., and D. Zupanski, 2003: Four-dimensional variational data assimilation for mesoscale and storm-scale applications. Meteor. Atmos. Phys., 82, 173-208. (2002 IF 0.887; Top 60.9%) [html]
Yang, P., B.-C. Gao, W. J. Wiscombe, M. I. Mishchenko, S. Platnick, A. Huang, B. A. Baum, Y. X. Hu, D. Winker, S.-C. Tsay, S. K. Park, 2002: Inherent and apparent scattering properties of homogeneous or coated spheres embedded in absorbing host medium. Appl. Optics, 41, 2740-2759. (2001 IF 1.459; Top 27.8%) [html] [pdf]
Kalnay, E., S. K. Park, Z.-X. Pu, and J. Gao, 2000: Application of the quasi-inverse method to data assimilation. Mon. Wea. Rev., 128, 864-875. (1999 IF 1.932; Top 26.4%) [html] [pdf]
Park, S. K., and K. K. Droegemeier, 2000: Sensitivity analysis of a 3D convective storm: Implications for variational data assimilation and forecast error. Mon. Wea. Rev., 128, 140-159. (1999 IF 1.932; Top 26.4%) [html] [pdf]
Park, S. K., 1999: Nonlinearity and predictability of convective rainfall associated with water vapor perturbations in a numerically-simulated storm. J. Geophys. Res., 104 (D24), 31575-31588. (1998 IF 2.577; N/A) [html]
Park, S. K., and K. K. Droegemeier, 1999: Sensitivity analysis of a moist 1D Eulerian cloud model using automatic differentiation. Mon. Wea. Rev., 127, 2180-2196. (1998 IF 1.778; Top 21.7%) [html] [pdf]
Park, S. K., and K. K. Droegemeier, 1997: Validity of the tangent linear approximation in a moist convective cloud model. Mon. Wea. Rev., 125, 3320-3340. (1997 IF 1.763; Top 27.1%) [html] [pdf]

Refereed Journal Articles (Non-SCI)

Lee, W. Y., H.-J. Kim, and S. K. Park, 2021: Review article: Parameterizations of snow-related physical processes in land surface models. The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2021-319. [pdf]
Lee, W. Y., H. H. Sung, S. Ahn, S. K. Park, 2020: Analysis and validation of geo-environmental susceptibility for landslide occurrences using frequency ratio and evidential belief function -- A case for landslides in Chuncheon in 2013. J. Korean Geomorphol. Assoc., 27, 61-89 (in Korean with English abstract). [html]
Kim, D.-E., and S.K. Park, 2019: Uncertainty in predicting the Eurasian snow: Intercomparison of land surface models coupled to a regional climate model. The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-15. [pdf]
Park, S., S.K. Park, J.W. Lee, Y. Park, 2018: Geostatistical assessment of summertime rainfall observations in Korea based on composite precipitation and satellite water vapor data. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-83.
Cassardo, C., S.K. Park, M. Galli, and S. O, 2017: Climate change over the high-mountain versus plain areas: Eﬀects on the land surface hydrologic budget in the Alpine area and northern Italy. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-569.
Lashkari, A., M. Bannayan, A. Koocheki, A. Alizadeh, Y. S. Choi, and S, K, Park, 2016: Applicability of AgMERRA forcing dataset forgap-filling of in-situ meteorological observation, Case Study: Mashhad Plain. J. Water Soil, 29, 1749-1758 (in Persian with English abstract).
Lim, S., S.K. Park, and M. Zupanski, 2015: Impact of ozone observations on the structure of a tropical cyclone using coupled atmosphere-chemistry data assimilation. Atmos. Chem. Phys. Discuss., 15, 11573-11579. [pdf]
Park, S., S.K. Park, 2015: Representation of vegetation effects on the snow-covered albedo in the Noah land surface model with multiple physics options. Geosci. Model Dev. Discuss., 8, 3197-3218. [pdf]
Park, S.K., S. Lim, and M. Zupanski, 2014: Forecast error covarianve structure in coupled atmosphere-chemistry data assimilation. Geosci. Model Dev. Discuss., 7, 8757-8767. [pdf]
Hong, S., X. Yu, S. K. Park, Y.-S. Choi, and B. Myoung, 2013: On searching for optimized set of physical parameterization schemes in a multi-physics land surface process model. Geosci. Model Dev. Discuss., 6, 4511-4530. [pdf]
Lee, M., S. Hong, and S. K. Park, 2013: Future changes of wildfire danger variability and their relationship with land and atmospheric interactions over East Asia using Haines index. Atmosphere, 23, 131-141 (in Korean with English abstract). [html]
Park, S. K., and J.-H. Kim, 2011: A study on changes in local meteorological fields due to a change in land use in the Lake Shihwa region using synthetic land cover data and high-resolution mesoscale model. Atmosphere, 21, 405-414 (in Korean with English abstract). [html]
Kim, H. H., and S. K. Park, 2008: Current status of intensive observing period and development direction. Atmosphere, 18, 147-158 (in Korean with English abstract). [html]
Kwon, H. J., S.-H. Won, and S. K. Park, 2006: Climatological differences between the two Typhoon Centers’ tropical cyclone information in the Western North Pacific. J. Korean Meteor. Soc., 42, 183-192. [html]
Lee, D. H., H. J. Kwon, S.-H. Won, and S. K. Park, 2006: Typhoon simulation with a parameterized sea surface cooling. Atmosphere, 16, 97-110 (in Korean with English abstract). [html]
Sohn, E.-H., M.-H. Ahn, D.-E. Chang, and S. K. Park, 2006: A quality control algorithm of rawinsonde wind data: Application to the East Asian region. J. Korean Meteor. Soc., 42, 107-127. [html]
Sohn, B. J., J. C. Nam, S. K. Park, M.-H. Ahn, J.-M. Yoo, H.-S. Lee, D.-E. Chang, C.-H. Ho, D.-H. Bae, S.-J. Kim, H.-J. Oh, 2005: Proposing research and development activities for utilizing the Global Precipitation Measurement (GPM). Atmosphere, 15, 47-57 (in Korean with English abstract).
Park, S. K., 2005: Observation programs: Current status and future visions. Atmosphere, 15, 141-148 (in Korean with English abstract).
Park, S. K., and E. Lee, 2005: Characteristics on land-surface and soil models coupled in mesoscale meteorological models. Atmosphere, 15, 1-16 (in Korean with English abstract).
Park, S. K., 2004: Role of supercomputers in numerical prediction of weather and climate. Atmosphere, 14(4), 19-23 (in Korean with English abstract).
Park, S. K., 2004: The Observing System Research Predictability Experiment (THORPEX) and potential benefits for Korea and the East Asia. Atmosphere, 14(3), 41-54.
Park, S. K., 2004: In-situ observation of tornado: TOTO vs. DOROTHY. Atmosphere, 14(2), 7-10 (in Korean with English abstract).
Park, S. K., 2003: Estimation of total precipitable water in East Asia using the MODIS satellite data. J. Korean Atmos. Env. Soc., 19, 149-155. [html]
Park, S. K., 2003: Behavior of tangent linear and adjoint solutions in a chaotic dynamical system. Korean J. Atmos. Sci., 6, 47-53.
Park, S. K., 2003: Variational data assimilation for optimal initial conditions in air quality modeling. J. Korean Atmos. Env. Soc., 19, 75-81. [html]
Park, S. K., 2003: Data assimilation for oceanographic application: A brief overview. J. Korean Soc. Oceanogr., 38, 52-59.
Park, S. K., 2002: The Earth Observing System (EOS) program for synthetic monitoring of the Earth environment. Atmosphere, 12(4), 56-68 (in Korean with English abstract).
Park, S. K., 2002: Recent trend in developing the four-dimensional variational data assimilation. Atmosphere, 12(2), 10-12 (in Korean).
Park, S. K., and D.-K. Lee, 1987: Synoptic aspects of a northeastward moving extratropical cyclone developed in the East Asia coast. J. Korean Meteor. Soc., 23, 1-25 (in Korean with English abstract).

Conference Papers

Conference papers are not listed here.