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Lee, S., S.-J. Lee, and J. S. Koo, 2020: Database construction of high-resolution daily meteorological and climatological data using NCAM-LAMP: Sunshine hour data. Korean Journal of Agricultural Forest Meteorology 22(3), 135-143. (in Korean with English Abstract)
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Mokhtarzad, M., F. Eskandari, N. J. Vanjani, and A. Arabasadi, 2017: Drought forecasting by ANN, ANFIS, and SVM and comparison of the models. Environmental Earth Science 76, 729.
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Shin, Y. H., J. Y. Choi, S.-J. Lee, and S. H. Lee, 2017: Estimation of irrigation requirements for red pepper using soil moisture model with high resolution meteorological data. Journal of the Korean Society of Agricultural Engineers 59(5), 31-40.
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So, Y. Y., S. J. Lee, S. W. Choi, and S.-J. Lee, 2020: Construction of NCAM-LAMP precipitation and soil moisture database to support landslide prediction. Korean Journal of Agricultural and Forest Meteorology 22(3), 152-163. (in Korean with English Abstract)
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Hong, M., S. Lee, S.-J. Lee, and J. Y. Choi, 2020: Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit. Agricultural Water Management 243, 106493.
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Antolik, M. S., 2012: Model Output Statistics (MOS) - Objective Interpretation of NWP Model Output. Presented at the University of Maryland USA (2012).
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Asano, A., 2004: Support vector machine and kernel method Pattern information processing. Pattern information Processing (2004 Autumn Semester) Session 12. (05. 1. 21)
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Bae, K. Y., H. S. Jang, and D. K. Sung, 2017: Solar power prediction based on machine learning scheme and its error analysis. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 13-14.
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Hyeon, B., Y. Lee, and K. Seo, 2015: Evolutionary nonlinear regression based compensation technique for short-range prediction of wind speed using automatic weather station. The Transactions of the Korean Institute of Electrical Engineers 64(1), 107-112.
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Hwang, J., H.-O. Cho, Y. Lim, S.-W. Son, E.-J. Kim, J.-O. Lim, and K.-O. Boo, 2020: Extratropical prediction skill of KMA GDAPS in January 2019. Atmosphere 30(2), 115-124. (in Korean with English Abstract)
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Kum, D., C. Jang, J. Lee, and K. J. Lim, 2014: Analysis of rainfall according to the bias correction of climate change scenarios. Proceedings of the Korea Water Resources Association Conference (2014-05), 470pp.
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Lee, S.-J., J. S. Kang, and H. Yoo, 2015: Atmospheric Modeling, Data Assimilation, and Predictability (Korean Version). SigmaPress.
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Lee, S.-J., Y. Kim, J. Song, and J. Kim, 2017: An Agrometeorological application of the meteogram: "Agrometeogram". American Meteorological Society 97th Annual Meeting, 22-26 January 2017, Seattle, WA, U.S.A.
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Park, J., H.-S. Kim, S.-J. Lee, and T. Ha, 2018: Numerical evaluation of JULES surface tiling scheme with high-resolution atmospheric forcing and land cover data. SOLA 14, 19-24.
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Yoon, H., P. Yoon, E. Lee, and G.-B. Kim, and S.-H. Moon, 2016: Application of machine learning technique-based time series models for prediction of groundwater level fluctuation to national groundwater monitoring network data. Journal of the Geological Society of Korea 52(3), 187-199.
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Lee, S.-J., J. Song, and Y.-J. Kim, 2016: The NCAM Land-Atmosphere Modeling Package (LAMP) Version 1: Implementation and evaluation. Korean Journal of Agricultural and Forest Meteorology 18(4), 307-319.
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Hong, M.-K, S.-H. Lee, J.-Y. Choi, S.-H. Lee, and S.-J. Lee, 2015: Estimation of soil moisture and irrigation requirement of upland using soil moisture model applied WRF meteorological data. Journal of the Korean Society of Agricultural Engineers 57(6), 173-183. (in Korean with English Abstract)
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Jo, N.-H., 2006: SVM load forecasting using cross-validation. The Korean Institute of Electrical Engineers A, 55(11), 485-491.
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Kwon, S., and S.-J. Lee, 2017: A statistical verification and improvement tool of point time series data of the NCAM-LAMP mid-term prediction system. Poster session presented at: 18th Conference on Agricultural and Forest Meteorology, 2017 November 10, Seoul National University.
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Lee, S., S.-J. Lee, J. H. Kang, and E. S. Jang, 2021: Spatial and temporal variations in atmospheric ventilation index coupled with particulate matter concentration in South Korea. Sustainability 13(16), 8954.
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Moon, H., J. Baik, S. Hwang, and M. Choi, 2014: Spatial downscaling of grid precipitation using support vector machine regression. Journal of Korea Water Resources Association 47(11), 1095-1105.
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Wilks, D. S., 2009: Extending logistic regression to provide full-probability-distribution MOS forecasts. Meteorological Applications 16(3), 361-368.
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Kim, D., and K. Seo, 2015: Comparison of linear and nonlinear regressions and elements analysis for wind speed prediction. Journal of Korean Institute of Intelligent Systems 25(5), 477-482.
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Lee, S.-J., J. Kim, M. Kang, and B. Malla-Thakuri, 2014: Numerical simulation of local atmospheric circulations in the valley of Gwangneung KoFlux sites. Korean Journal of Agricultural and Forest Meteorology 16, 244-258.
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