Publications

2025

An, H. T., Shin, J.-Y.*, and Kim, S,. (2025) Recent spatio-temporal trends in extreme rainfall events of South Korea from subhourly to multiple day, International Journal of Climatology . https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70226 (CA)

Park, J., Shin, J.-Y., Kim S.* and Kwon, J. (2025). Assessing the Applicability of the LTSF Algorithm for Streamflow Time Series Prediction: Case Studies of Dam Basins in South Korea , Water, Vol.17, No.22, 3214. https://doi.org/10.3390/w17223214 

Choi, H., Kim, K. R., and Shin, J.-Y.* (2025) Evaluating Effectiveness of Impact-based Heatwave Warnings for Perceptions and Risk-Mitigating Behaviors: Survey Studies in South Korea, Climate Risk Management, Vol. 49, 100733. https://doi.org/10.1016/j.crm.2025.100733 (CA)

Kim, S., Sung, K., Shin, J.-Y.*, Heo, J.-H.* (2025). At-Site versus Regional Frequency Analysis of Sub-Hourly Rainfall for Urban Hydrology Applications under Recent Extreme Events, Water, Vol.17, No.15, 2213. https://doi.org/10.3390/w17152213 (CA) 

Kim, S., Shin, J.-Y.*, Lee, G., Park, J., and Sung, K. (2025). Future Changes in Precipitation Extremes over South Korea Based on Observations and CMIP6 SSP Scenarios, Water, No.17, Vol.11, 1702. https://doi.org/10.3390/w17111702 (CA) 

Kim, S., Shin, J.-Y., and Heo, J.-H.* (2025). Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble, Water, No.17, Vol.6, pp.894. https://doi.org/10.3390/w17060894 

Shin, J.-Y., Park, J., Sung, K.*, and Kim, Y. (2025). Recent Spatiotemporal Changes of Subhourly Extreme Rainfall Events in Seoul. Applied Sciences, Vol.15, No.3, pp.1672. https://doi.org/10.3390/app15031672 (FA)

2024

Baek, J. and Shin, J.-Y.* (2024) Investigation of Perception Differences in Shared Mobility between Driver’s License Holders and Nonholders A Case Study of Seoul, Gyeonggi, and Incheon in South Korea, Sustainability, Vol.2024, No.16, pp.7725. (CA)

Shin, J.-Y., Chien, V. C., Um, M.-J.*, Kim, H., and Sung, K. (2024) Projection of Changes in Rainfall and Drought Based on CMIP6 Scenarios on the Ca River Basin, Vietnam, Water, Vol.16, No.13, pp.1914. (FA)

2023

Seo, M., Kim, S., Kim, H., Shin, J.-Y., and Heo, H.-J.* (2023) Evaluation of Statistical PMP Considering RCP Climate Change Scenarios in Republic of Korea, Water,  Vol. 15, No.9.  pp.1756.

2022

Shin, J.-Y., Kim, K. R.*, and Lee, Y. (2022) Spatial prediction of outdoor thermal comfort index using numerical weather prediction model for city and regional scales: case study to South Korea, Urban Climate,  Vol. 45, 101286. (FA)

Shin, J.-Y.* Min, B., and Kim, K. R. (2022). High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies—A case study from South Korea, International Journal of Biometeorology, Vol. 66, 429–1443. (FA)

Knag, M., Kim, K. R.*, Lee, J.-Y., and Shin, J.-Y. (2022). Determination of thermal sensation levels for Koreans based on perceived temperature and climate chamber experiments with hot and humid settings, International Journal of Biometeorology, Vol.66, 1095–1107.

Shin, J.-Y.*, Kim, K. R., and Lee, Y. (2022). Determining multiple thresholds of thermal health risk levels using segmented Poisson regression model, SOLA, Vol. 18, 41-46. (FA)

Kim, H., Kim, T., Shin, J.-Y., Heo, J.-H.* (2022). Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty, Water, Vol. 14, No.3, 478.

Shin, J.-Y., Kang, M., and Kim, K. R.*, (2022). Outdoor thermal stress changes in South Korea: Increasing inter-annual variability induced by different trends of heat and cold stresses, Science of The Total Environment, Vol. 805, 150132. (FA)

2021

Lee, T., and Shin, J.-Y.*, (2021). Latent negative precipitation for the delineation of a zero-precipitation area in spatial interpolations, Scientific Reports, Vo.11, No.1, pp.20426. (CA)

Shin, J.-Y.*, Kim, K. R., Kim. J., and Kim, S. (2021). Long-term trends and variability of surface humidity from 1973 to 2018 in South Korea, International Journal of Climatology, Vol.41, No.8, pp.4215-4235. (CA)

Kim, S., Joo, K., Kim, H., Shin, J.-Y., and Heo, J.-H.* (2021). Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation, Journal of Hydrology, Vol. 596, 125685.

Shin, J.-Y.*, Park, J., and Kim, K. R. (2021). Emulators of a Physical Model for Estimating Leaf Wetness Duration, Agronomy, Vol. 11, No. 2, 216. (CA)

2020

Kim, H., Shin, J.-Y., Kim, T., Kim, S., and Heo, J.-H.* (2020). Regional Frequency Analysis of Extreme Precipitation Based on a Nonstationary Population Index Flood Method, Advances in Water Resources, Vol. 146, 103757.

Shin, J.-Y., Kim, K. R.*, and Ha, J.-C. (2020) Intensity-frequency-duration relationship of extreme WBGT using regional frequency analysis in South Korea, Environmental Research, Vol. 190, 109964.

Shin, J.-Y., Kim, B.-Y.*, Park, J., Kim, K. R., and Cha, J.-W. (2020) Leaf wetness duration estimation via satellite image and machine learning algorithms, Remote sensing, Vol. 12, No.18, 3076.

Kieu, T., Lee, T.*, Shin, J.-Y., Kim, J.*, Kamruzzaman, M. (2020). Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization, Atmosphere, Vol. 11, No. 5, 487.

Kim, T. , Shin, J.-Y., Kim, H., Heo, J.-H.* (2020). Ensemble-based neural network modeling for hydrologic forecasts uncertainty in the model structure and input variable selection, Water Resource Researches, Vol. 56, No.6, e2019WR026262.

Joo, K., Shin, J.-Y., and Heo, J.-H.* (2020). Modified Maximum Pseudo Likelihood Method of Copula Parameter Estimation for Skewed Hydrometeorological Data, Water, Vol. 12, No. 4, 1182.

Kang, M., Kim, K. R., and Shin, J.-Y.* (2020) Event-based heat-related risk assessment model for South Korea using maximum perceived temperature, wet-bulb globe temperature and air temperature data, International Journal of Environmental research and Public Health, Vol. 17, No. 8, 2631. (CA)

Lee, T., Shin, J.-Y.*, Kim, J.* and Singh, V. (2020). Stochastic Simulation on Reproducing Long-term Memory of Hydroclimatological Variables using Deep Learning Model, Journal of Hydrology, Vol. 582, 124540. (CA)

Shin, J.-Y., Han, M. J., Cho, C., Kim, K. R.*, Oh, J.-W.*, and Ha, J.-C. (2020). Recent Calendar for Allergenic Pollen in Korea via Probability Distributions, Allergy, Asthma & Immunology Research, Vol. 12, No.2, 259.

Shin, J.-Y.*, Kim, K. R., and Ha, J.-C. (2020). Mean temperature seasonal forecasting via GloSea5GC2 and regularized extreme learning machine coupling for field-scale agricultural management, Agricultural and Forest Meteorology, Vol. 281, 107858.

2019

Shin, J.-Y., Ro, Y.*, Cha, J.-W., Kim, K.-R., and Ha, J.-C. (2019) Assessing the applicability of random forest, stochastic gradient boosted model, and extreme learning machine methods to the quantitative precipitation estimation of the radar data: a case study to Gwangdeoksan radar, South Korea, in 2018, Advances in meteorology, Vol. 2019, 6542410.

Park, J., Shin, J.-Y.*, Kim, K. R., and Ha, J.-C. (2019) Leaf wet duration prediction models using advanced machine learning algorithms: application to Gyeonggi, South Korea, Water Vol.11, No.9, 1878. (CA)

Heo, J.-H., Ahn, H..* Shin, J.-Y.*, Kjeldsen, T., and Jeong, C. (2019). Probability distributions for a quantile mapping technique for bias correction of precipitation data: A case study to precipitation data under climate change, Water, Vol.11. (CA)

Shin, J.-Y., Lee, T.*, Park, T., and Kim, S. (2019). Bias Correction of RCM outputs using Mixture Distributions under Multiple Extreme Weather Influences, Theoretical and Applied Climatology, Vol. 137, No, 1-2, pp. 201-216.

Jung, K., Shin, J.-Y.*, and Park, D. (2019). A new approach for the river network classification based on the beta distribution of tributary junction angles, Journal of Hydrology, vol.572, pp. 66-74. (CA)

Shin, J.-Y., Lee, J.-H.*, Kim, T. and Heo, J.-H. (2019). Spatial-temporal variations in rainfall, rainfall erosivity, and erovisity density in South Korea, Catena, Vol. 176, pp. 125-144.

Kim, T., Shin, J.-Y., Kim, H., Kim, S., and Heo, J.-H.* (2019). The use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models, Water, Vol.11, pp. 374.

2018

Shin, J.-Y., Jeong, C., and Heo, J.-H.* (2018). A novel statistical method to temporally downscale wind speed Weibull distribution using scaling property, Energies, Vol.11, No.3, 633.

Kim, T., Shin, J.-Y., Kim, S., and Heo, J.-H.* (2018). Identification of Relationships Between Climate Indices and Long-term Precipitation in South Korea Using Ensemble Empirical Mode Decomposition, Journal of Hydrology, Vol. 557, pp.726-739.

2017

Jung, Y., Shin., J.-Y., Ahn, H., and Heo, J.-H.* (2017). The Spatial and Temporal Structure of Extreme Rainfall Trends in South Korea, Water, Vol.9, No.10, 809.

Park, T., Ko, D., Shin, J.-Y., Lee D. and Lee, T.* (2017). Assessing Spatially Dependent Errors in Radar Rainfall Estimates for Rainfall-runoff Simulation, Stochastic Environmental Research and Risk Assessment, Vol.31, No.7, pp.1823-1838.

2016

Shin, J.-Y.*, Ouarda, T, and Lee, T. (2016). Heterogeneous Mixture Distributions for Modeling Wind Speed, Application to the UAE, Renewable Energy, pp. 40-52.

2015

Shin, J.-Y., Lee, T.*, and Ouarda, T. (2015). Heterogeneous Mixture Distribution for Modeling Multisource Extreme rainfall, Journal of Hydrometeorology, Vol. 16, pp.2639-2657.

Ouarda, T.*, Charron, C., Shin, J.-Y., Marpu P., Ghedira, H., Tamimi, M. (2015). Probability Distributions of Wind Speed in the UAE, Energy Conversion and Management, Vol.93, pp.414-434.

Lee T.*, Shin, J.-Y., Park, T., and Lee, D. (2015). Basin Rotation Method for Analyzing the Directional Influence of Moving Storms on Basin Response, Stochastic Environmental Research and Risk Assessment, Vol. 29, No.1, pp251-263. DOI: 10.1007/s00477-014-0870-y

2014

Shin, J.-Y., Lee, T.*, Heo, J.-H., and Jeong, C. (2014). Meta-heuristic Maximum Likelihood parameter estimation of the mixture normal distribution for hydro-meteorological variables, Stochastic Environmental Research and Risk Assessment, Vol.28, No.2, pp347-358. DOI: 10.1007/s00477-013-0753-7.

2012

Jeong, C., Shin, J.-Y., Kim, T., and Heo, J.-H.* (2012). Monthly Precipitation Forecasting Using Neuro-Fuzzy Model, Water Resource Management, Vol.26, No.15, pp.4467-4485.

2025

Jang, S., Shin, J.-Y.*, Kim, S., and Kim, Y. (2025) Convolutional Neural Network-Based Weather Forecasting Post-processing Method Using Short-Term Neighborhood Forecast Data,   Ecology and Resilient Infrastructure. (CA) (accepted)

Shin, J.-Y., Kim, K.R., Um, M.-J.*, Chung, Y., and Kim, S. (2025) Evaluation of Heat Stress Indices for Koreans: A Comparative Study of Perceived Temperature and KMA WBGT in Quantifying Heatwave Impacts.  Ecology and Resilient Infrastructure, Vol.12, No. 3, pp. 159-170. https://doi.org/10.17820/eri.2025.12.3.159 (FA)

Park, J., Shin, J.-Y.*, Kim, Y., (2025)  Development of Long-term Mean Air Temperature Prediction Model using LTSF Algorithm , Korean Journal of Agricultural and Forest Meteorology, Vol. 27, No. 2, pp. 88~98. https://doi.org/10.5532/KJAFM.2025.27.2.88 (CA) 

Gil, J., Moon, K., Kim, S., and Shin, J.-Y.*  (2025) Drought Risk Prediction Method Using Machin Learning  Based on Emergency Water Supply Data, Ecology and Resilient Infrastructure. Vol.12, No.2, pp.57-68. https://doi.org/10.17820/eri.2025.12.2.057  (CA) 

2022

조은수, 김해민, 신주영, 김규랑, 이용희, 지준범 (2022) 21년간 한국의 서리발생 시공간 분포 특성과 경향, 한국농림기상학회 논문집, Vol.24, No.2, 83-94.

2018

서정호, 김성훈, 안현준, 신주영, 허준행 (2018) Monte Carlo 모의실험을 이용한 Burr XII 분포형의 적용가능성에 관한 연구, 한국방재학회 논문집,Vol. 19, No.3, pp.11-21.

신주영, 안현준, 정창삼, 안정환 (2018). 혼합분포형을 이용한 한국의 연최대 풍속 분석, 한국방재학회 논문집, Vol. 18, No. 7, pp.61-69.

신주영, 정창삼, 안현준, 허준행 (2018). 이변량 지역빈도해석을 이용한 우리나라 극한 강우 분석, 한국수자원학회 논문집, Vol. 51, No.9,pp. 747-759, DOI: 10.3741/JKWRA.2018.51.9.747.

안현준, 신주영, 정창삼, 허준행 (2018). Self-Organizing Map을 이용한 강우 지역빈도해석의 지역구분 및 적용성 검토, 한국수자원학회 논문집, Vol.51, No. 5, pp. 383-393, DOI: 10.3741/JKWRA.2018.51.5.383.

신주영, 정창삼, 주경원, 허준행 (2018). 다변량 L-moment를 이용한 이변량 강우빈도해석에서 수문학적 동질지역 선정, 한국수자원학회 논문집, Vol. 51, No.1 pp.49-60, DOI: 10.3741/JKWRA.2018.51.1.49.

2014

신주영, 이태삼 (2014). 메타 휴리스틱 최우도법을 이용한 수문기상학적 변량의 혼합 정규분포 매개변수 추정, 한국방재학회 논문집, Vol. 14, No. 4, pp. 93-99.

2013

이태삼, 신주영, 김진경 (2013). 남강댐방류로 인한 사천만의 퇴적량 추정, 한국방재학회 논문집, Vol. 13, No. 4, pp. 227-233.

2012

류용준, 신주영, 남우성, 허준행 (2012). 웨이블렛 변환을 적용한 인공신경망에 의한 충주댐 일유입량 예측, 한국수자원학회 논문집, Vol. 15, No. 12, pp.1321-1330. 

주경원, 신주영, 허준행 (2012). Copula 모형을 이용한 이변량 강우빈도해석, 한국수자원학회 논문집, Vol.45, No.8,pp.827-837.

김완수, 신주영, 엄명진, 허준행 (2012). L-모멘트의 경향성 분석을 이용한 강우의 비정상성 특성 해석, 한국방재학회 논문집, Vol.12 No.3 pp.71-80.

2011

이준학, 신주영, 허준행 (2011). 강우 운동에너지식에 따른 한국의 강우침식인자 평가, 한국토양비료학회지, Vol.44, No.3, pp.337-343.

정창삼, 신주영, 정영훈, 허준행 (2011). RDAPS 모델의 강수량과 실측강수량의 비교를 통한 적용성 검토, 한국수자원학회 논문집, Vol.44, No.3, pp.221-230.

신주영, 주경원, 허준행 (2011). 직접적인 매개변수 추정방법을 이용한 새로운 수정된 Neyman-Scott 구형펄스모형 개발 연구, 한국수자원학회 논문집, Vol.44, No.2, pp.135-144.

2008

남우성, 김태순, 신주영, 허준행 (2008), 다변량 분석 기법을 활용한 강우 지역빈도해석, 한국수자원학회 논문집, Vol.41, No.5, pp.517-525.

김정원, 남우성, 신주영, 허준행 (2008), FORGEX 기법을 이용한 한국 강우자료의 지역빈도해석에 관한 연구, 한국수자원학회 논문집, Vol.41, No.4, pp.405-412.

2007

신주영, 김태순, 김수영, 허준행 (2007), 유전자알고리즘을 이용한 강우강도식 매개변수 추정에 관한 연구 (II): 장,단기간 구분 방법의 제시, 한국수자원학회 논문집, Vol.40, No.10, pp.823-832.

김태순, 신주영, 김수영, 허준행 (2007), 유전자알고리즘을 이용한 강우강도식 매개변수 추정에 관한 연구 (I): 기존 매개변수 추정방법과의 비교, 한국수자원학회 논문집, Vol.40, No.10, pp.811-821.

85. Shin, J.-Y. (2025). Spatial Attention layer for rainfall spatial interpolation, AGU2025, New Orleans

84. 박지연, 조수빈, 김지환, 신주영 (2025). 댐 유입량 예측을 위한 LTSF 기반 시계열 예측 모델 적용성 평가,2025 토목학회, 2025.11.12-11.14, 청주 OSCO

83. An Hoang Thi, 신주영, Azamat Baimaganbetov (2025). Investigating applicability of Nonstatinary frequency analysis for extreme rainfall events in South Korea,2025 토목학회, 2025.11.12-11.14, 청주 OSCO

82. 이가영, 신주영, 장상범 (2025). 기후변화에 따른 극치강우 분석을 위한 Kappa 분포 기반 지역빈도해석, 2025 토목학회,2025.11.12-11.14,청주 OSCO

81. 이가영, 신주영, 김지환, 조수빈 (2025). 강우지역빈도해석에서 Kappa 분포형의 적용성 조사, 2025 한국스마트워터그리드학회, 2025.09.17-09.19, 인천 송도 컨벤시아

80. 이가영, 신주영, 장상범, 박지연 (2025). 기후변화에 다른 지역빈도해석 동질지역 변화 분석 및 군집 기반 이질지역 재구분, 2025 응용생태공학회, 2025.07.11,서울 고려대학교

79. Azamat Baimaganbetov, Shin, J.-Y., and Park, J. (2025). Seasonal Streamflow Predictions Using Multi-Modal Data-based AI Algorithm in the Kazakhstan River Basins, 2025 AOGS, 2025.07.27-08.02, Singapole.

78. 장상범, 신주영, 이가영 (2025). 단기예보 데이터를 활용한 CNN기반 다지점 강수량 예측 모델 개발, 2025 농림기상학회, 2025.06.24-25, 전주 농수산대학교

77. Azamat Baimaganbetov, Shin, J.-Y., and Park, J. (2025). ENHANCING AGRICULTURAL WATER MANAGEMENT THROUGH AI-BASED SEASONAL STREAMFLOW FORECASTING IN SNOW-DOMINATED BASINS OF KAZAKHSTAN,2025 농림기상학회, 2025.06.24-25 전주 농수산대학교

76. Jang, S., Shin, J.-Y., Park, J., and Lee, G. (2025). Development of a Deep Learning-Based Weather Forecasting Model Using Short-Term Neighborhood Forecast Data,2025 EGU, 2025.04.27-05.02, Austria, Vienna.

75. Lee, G., Park, J., Jang, J., and Shin, J.-Y. (2025). Investigation of Changes in Hydrologically Homogeneous Regions for Regional Frequency Analysis under Climate Change, 2025 EGU, 2025.04.27-05.02, Austria, Vienna.

74. Park, J., Lee, G., Jang, S., and Shin, J.-Y. (2025). Development of a Long-Term Forecasting Model for Dam Inflow in South Korea Using the LTSF Algorithm,2025 EGU, 2025.04.27-05.02, Austria, Vienna.

73. An Hoang Thi,이가영,장상범,신주영 (2025). Recent Spatio-temporal Trends in Extreme Rainfall Event of South Korea,2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

72. Azamat Baimaganbetov,신주영,박지연 (2025). AI-driven seasonal streamflow forecasting utilizing multi-modal data in the river basins of Kazakhstan,2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

71. 김서현,길준영,문경민,신주영 (2025). 비상급수 자료 기반의 가뭄 위험도 정량화 기법 개발,2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

70. 장상범,신주영,김서영,김지환 (2025). 단기예보 데이터를 활용한 CNN 기반 기상 예측 모델 개발,2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

69. 이가영,신주영,조수빈,김병권 (2025). 기후변화에 따른 지역빈도해석의 수문학적 동질지역 변화 조사,2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

68. 박지연,조수빈,장상범,신주영 (2025). 댐 유입량 장기예측을 위한 LSTM모형의 적용성 평가, 2025수자원학회, 2025.05.21-23, 여수엑스포컨벤션센터

67. Kim, H.-S., Kim, D.-J., Kim, J.-H., Park, J. H., and Shin, J.-Y. (2021). Evaluation of weather prediction data by the Korea Meteorological Administration Post-Processing system and its application to simulate insect pest development, Proceeding of the Korean Society of Plant Pathology, online.

66. Youn, M.-J., Robbins, J., Jones, C., Neal, R., Shin, J.-Y., and Kim, S. (2021). Improving heatwave impact-based forecasting for South Korea, Workshop for using ECMWF’s Forecasts 2021.

65. Park, J. S., Shin, J.-Y., Kim, K. R., and Ha, J.-C. (2019). Development of leaf wetness duration estimation system using machine learning algorithm, Conference for Korean Society of Agricultural and Forest Meteorology, Jeju, South Korea.

(65. 박준상, 신주영, 김규랑, 하종철 (2019). 인공지능기법을 이용한 엽면습윤지속시간 예측 정보 생산 시스템 개발, 농림기상학회, 제주시, 대한민국)

64. Shin, J.-Y., Kim, K. R., Park, J. S., and Ha, J.-C. (2019). Long-range prediction of specific humidity coupling seasonal forecast system and artificial intelligence algorithm for agricultural field scale, Conference for Korean Society of Agricultural and Forest Meteorology, Jeju, South Korea.

(64. 신주영, 김규랑, 박준상, 하종철 (2019). 계절예측시스템과 인공지능기법을 이용한 농업분야에서 적용 가능한 장기 비습예측모형 개발, 농림기상학회, 제주시, 대한민국)

63. Kim, H., Kim, K. R., Shin, J.-Y., Kang, W. S., Park, J. H., Ahn, M.-I., and Park, E. W. (2019). Application of long-term predicted temperature data to forecast weekly and monthly outlook of insect pest development, Conference for Korean Society of Agricultural and Forest Meteorology, Jeju, South Korea.

62. Park, J. S., Shin, J.-Y., Kim, K. R., and Seo, Y. A. (2019) Development and evaluation of leaf wetness duration model based on machine learning for orchards in South Korea, 8th International Conference on Fog, Fog Collection and Dew, Taipei, Taiwan, 14–19 July 2019

61. Shin, J.-Y., and Ro, Y. (2019) A study of quantitative precipitation estimation method using advanced machine learning algorithms, Conference of Korea Water Resources Association, Yeosu, South Korea.

(61. 신주영, 노용훈 (2019) 기계학습을 이용한 레이더 강우추정 기법 연구, 한국수자원학회, 여수, 대한민국)

60. Shin, J.-Y., Kim, K. R., and Ha, J.-C. (2019) Investigating characteristics of meteorological variables for specific humidity prediction model, Conference of the Korean Meteorological Society, Seoul, South Korea.

(60. 신주영, 김규랑, 하종철 (2019) 비습 예측모형 개발을 위한 자료 특성 분석, 한국기상학회 학술발표대회, 서울, 대한민국)

59. Park, J. S., Shin, J.-Y., Kim, K. R., and Ha, J.-C. (2019) Leaf wet duration prediction system using machine learning algorithm, Conference of the Korean Meteorological Society, Seoul, South Korea.

(59. 박준상, 신주영, 김규랑, 하종철 (2019) 기계학습을 이용한 이슬 예측 시스템 개발, 한국기상학회 학술발표대회, 서울, 대한민국)

58. Shin, J.-Y., Kim, K. R., Park, J., and Hyun, Y. (2018). Long-term temperature prediction coupling GloSea5 and machine learning algorithm, Conference of the Korean Meteorological Society, Segwipo, South Korea.

(58. 신주영, 김규랑, 박준상, 현유경 (2018). GloSea5와 인공지능기법을 이용한 장기 기온 예측 연구, 한국기상학회 학술발표대회, 서귀포, 대한민국.)

57. Park, J., Shin, J.-Y., and Kim, K. R. (2018) Comparing prediction performances of machine learning techniques for dew duration in Argo-meteorology, Conference of The Korea Earth Science Society, Daegu, South Korea.

(57. 박준상, 신주영, 김규랑 (2018). 농업환경에서 이슬지속시간에 대한 기계학습 모델 예측 성능 비교, 한국지구과학학회 추계학술발표회, 대구, 대한민국.)

56. Heo, J.-H., Shin, J.-Y., and Kim, T. (2018), Application of Deep-Learning algorithm for Inflow Series Forecasting in South Korea, International conference on Time Series and Forecasting (ITISE), Granada, Spain.

55. Kim, B., Kim, H., Han, G., Heo, J.-H., and Shin, J.-Y. (2018). Development of external inundation risk curve for SOC structure under climate change, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(55. 김범진, 김현일, 한건연, 허준행, 신주영 (2018). 기후변화에 따른 SOC시설물의 외부침수 재해도 곡선 산정, 한국수자원학회 학술대회, 경주, 대한민국.)

54. Ahn, H., Shin, J.-Y., Jung, T. -H., and Heo, J.-H. (2018). Investigation of Heterogeneity Measure for Nonstationary Regional Frequency Analysis, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(54. 안현준, 신주영, 정태호, 허준행 (2018). 비정상성 지역빈도해석을 위한 지역구분에 따른 이질성 척도 검토, 한국수자원학회 학술대회, 경주, 대한민국.)

53. Jung, Y., Shin, J.-Y., Ahn, H., and Heo, J. -H. (2018). Trend Analysis using Scaling Exponent for Monthly Rainfall Data, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(53. 정영훈, 신주영, 안현준, 허준행 (2018). 월별 스케일 지수를 이용한 경향성 분석, 한국수자원학회 학술대회, 경주, 대한민국.)

52. Seo, J., Shin, J. -Y., Jung, Y., Heo, J.-H. (2018). Frequency Analyses for Extreme Rainfall Data using the Burr XII Distribution, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(52. 서정호, 신주영, 정영훈, 허준행 (2018). Burr XII 모형을 이용한 우리나라 극한 강우자료 빈도해석, 한국수자원학회 학술대회, 경주, 대한민국.)

51. Shin, J.-Y., Lee, J., Kim, T., and Heo, J.-H. (2018). Temporal and Spatial Variability of Rainfall Erosivity in South Korea, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(51. 신주영･이준학･김태림･허준행 (2018). 우리나라 강우침식인자의 시공간적 변동성 분석, 한국수자원학회 학술대회, 경주, 대한민국.)

50. Shin, J.-Y., Ahn, J., Jeong, C., and Heo, J.-H. (2018). Assessment of the Bivariate Regional Frequency analysis for The Extreme Rainfalls of South Korea, Conference of Korea Water Resources Association, Kyoungju, South Korea.

(50. 신주영･안현준･정창삼･허준행 (2018). 우리나라 극한강우에 대한 이변량 지역빈도해석의 적용성 평가, 한국수자원학회 학술대회, 경주, 대한민국.)

49. Ahn, H., Shin, J.-Y., Kim, S., and Heo, J.-H. (2018) One-parameter Lindley distribution with application to rainfall data in Seoul, Korea, AOGS 2019, Hawaii, USA.

48. Joo, K., Kim, H., Shin, J.-Y., and Heo, J.-H. (2018) Assessing the Parameter Estimation Method for Bivariate Probability Model of Rainfall Data, EGU 2018, Vienna, Austria.

47. Shin, J.-Y., Lee, J.-H., Kim, T., and Heo, J.-H. (2018). Temporal variability of rainfall erosivity and its teleconnection with various climate indices in South Korea, EGU 2018, Vienna, Austria.

46. Joo, K., Kim, H., Shin, J.-Y., and Heo, J.-H. (2017). Trend Detection and Bivariate Frequency Analysis for Nonstrationary Rainfall Data, AGU 2017, New Orleans, USA.

45. Seo, J., Shin, J.-Y., Jeong, T., and Heo, J.-H. (2017) Regional frequency analysis of extreme rainfall using Burr XII distribution in South Korea, Conference of Korea Society of Civil Engineer, Busan, South Korea.

(45. 서정호･신주영･정태호･허준행 (2017). Burr XII 분포형을 통한 우리나라 강우자료의 지역빈도해석, 대한토목학회 학술대회, 부산, 대한민국.)

44. Shin, J.-Y., Joo, K, Ahn, H., and Heo, J.-H. (2017). Hydrological homogeneous region delineation using L-comoment: application to bivariate rainfall regional frequency analysis, Conference of Korea Society of Civil Engineer, Busan, South Korea.

(44. 신주영･주경원･안현준･허준행 (2017). 다변량 L-moment를 이용한 수문학적 동질지역 선정: 이변량 강우 지역빈도해석에 적용, 대한토목학회 학술대회, 부산, 대한민국)

43. Ahn, S, Kim, T., Shin, J.-Y., and Heo, J.-H. (2017). Improving monthly precipitation predictability using ensemble artificial neural network technique, Conference of Korea Society of Civil Engineer, Busan, South Korea.

(43. 안시권･김태림･신주영･허준행 (2017). 인공신경망 모델의 앙상블을 활용한 월 강우 예측 정확도 향상에 관한 연구, 대한토목학회 학술대회, 부산, 대한민국)

42, Joo, K., Shin, J.-Y., Kim, H., and Heo, J.-H. (2017). Assessment of the Properties and Suitability for Bivariate Probability Distribution of Rainfall Event along the Inter-Event Time, Conference of Korea Water Resources Association, Changwon, South Korea.

41. Kim, S., Shin, J.-Y., Seo, J., and Heo J.-H. (2017). Analysis of Standardized Precipitation Index Considering the Rainfall Characteristics in Korea, Conference of Korea Water Resources Association, Changwon, South Korea.

40. Shin, J.-Y., Kim, S., Kim, T., and Heo J.-H. (2017). Comparison of Three Parameter Estimation Methods for Mixture Distributions, Conference of Korea Water Resources Association, Changwon, South Korea.

39. Shin, J.-Y., Ouarda, T., and Lee, T. (2015). Mixture Distribution for Modelling Extreme Precipitation of United Arab Emirates, IUGG 2015, Prague. 25th June.

38. Shin, J.-Y., Ouarda, T., and Lee, T. (2014). Mixture Distribution for Modelling Extreme Precipitation of United Arab Emirates, STAHY 2014, Abu Dhabi, UAE. 11th Nov.

37. Park, T., Lee, T., Shin, J.-Y., Ghazijahani, N., Lee, D., Lee, H., (2014) Moving storm analyis through basin rotation method to flood events, Conference of Korean Society of Hazard Mitigation, Incheon, South Korea.

36. Shin, J.-Y., Ouarda, T., and Lee, T. (2013). Mixture distributions of wind Speed in the UAE, AGU 2013, San Francisco, USA.

35. Heo, J.-H., Nam, W., Shin, J.-Y., Um, M., and Kim, W. (2012). Assessment of climate change Impact on Extreme Precipitation and floods in South Korea, 2012 IAHR, Jeju, Korea.

34. Shin, J.-Y. · Lee, T., Heo, J.-H., and Jeong, C.-S. (2012). Meta-Heuristic Parameter estimation of normal mixture distribution for hydro-meteorological variables, 2012 IAHR, Jeju, Korea.

33. Joo. K., Shin, J.-Y., Nam, W., and Heo, J.-H. (2012). Comparative Analysis of Rainfall Quantile From Bivariate Frequency Analysis Using Copula Model and Univariate Frequency Analysis, Conference of Korea Water Resources Association, South Korea.

32. Park, J. Y., Shin, J.-Y., and Heo, J.-H. (2012). Future Inflow Simulation Considering Climate Change in Chungju Dam Basin, Conference of Korea Water Resources Association, South Korea.

31. Ryu, Y., Jung, Y., Shin, J.-Y., and Heo, J.-H. (2012). Application on Prediction of Stream Flow using Artificial Neural Network with Mutual Information and Wavelet Transform, Conference of Korea Water Resources Association, South Korea.

30. Shin, J.-Y., Joo, K.-W., Park, J., and Heo, J.-H. (2011). A Detection of Applicable Copula using Goodness of Fit Tests for Bivariate Rainfall Frequency Analysis, 2011 American Geographical Union Fall-meeting, San Francisco.

29. Nam, W., Shin, J.-Y., Um, M.-J., Kim, W., and Heo, J.-H. (2011). Estimation of Sub-daily Extreme Precipitation to Assess Climate Change Impact on Floods of Han River Basin in South Korea, 2011 American Geographical Union Fall-meeting, San Francisco.

28. Lee, J.-H., Shin, J.-Y., Jeong, Y., and Heo, J.-H. (2011). Estimation of Rainfall-runoff Erosivity for Individual Storm Events, 2011 American Geographical Union Fall-meeting, San Francisco.

27. Joo, K.-W., Shin, J.-Y., Kim, W., and Heo, J.-H. (2011). A Case Study of Bivariate Rainfall Frequency Analysis Using Copula in South Korea, 2011 American Geographical Union Fall-meeting, San Francisco.

26. Shin, J.-Y., Joo, K.-W., and Heo, J.-H. (2011). Assessment of Future Depth-Duration-Frequency Relationship Considering Climate Change in South Korea, 2011 IUGG Conference, Australia, Melbourne.

25. Lee, J.-H., Shin, J.-Y., and Heo, J.-H. (2011). Spatial Patterns of Rainfall Erosive Index based on Monthly Rainfall Amount in Han River Watershed, Korea, 2011 IUGG Conference, Australia, Melbourne.

24. Nam, W., Um, M.-J., Shin, J.-Y., Joo, K., and Heo, J.-H. (2011). The Effects of Climate Change on Rainfall Quantile in Han River Basin Based on Scaling Invariance and NSRPM, Conference of Korea Water Resources Association, South Korea.

23. Choi, M., Shin, J.-Y., Nam, W., and Heo, J.-H. (2011). Analysis the Extreme Rainfall Data by Using the FORGEX Considering the Characteristics of South Korea Rainfall Data, Conference of Korea Water Resources Association, South Korea.

22. Shin, J.-Y., Joo. K., Kim, S., and Heo, J.-H. (2011). Assessment of Depth-Duration-Frequency Relationship Considering Climate Change in Seoul, Conference of Korea Water Resources Association, South Korea.

21. Um, M.-J., Nam, W., Shin, J.-Y., Joo. K., and Heo, J.-H. (2011). The Analysis of Discharge According to Climate Change in Han River Basin, Conference of Korea Water Resources Association, South Korea.

20. Lee, J.-H., Shin, J.-Y., , and Heo, J.-H. (2011). Rainfall Erosivity in Seoul using Various Rainfall  Kinematic Equations, Conference of Korea Water Resources Association, South Korea.

19. Joo. K., Shin, J.-Y., Park, J. and Heo, J.-H. (2011). A Study of Rainfall Quantile Considering Marginal Distribution from Copula Bivariate Model, Conference of Korea Society of Civil Engineer, South Korea.

18. Nam, W., Shin, J.-Y., Kim, W., and Heo, J.-H. (2011). The Effects on Climate Change on Rainfall Quantile in Han River Basin, Conference of Korea Society of Civil Engineer, South Korea.

17. Lee, J.-H., Shin, J.-Y., and Heo, Jun-Haeng (2011). A Study on Frequency Analysis of Annual Rainfall-runoff Erosivity, Conference of Korea Society of Civil Engineer, South Korea.

16. Kim, W., Shin, J.-Y., Nam, W., and Heo, J.-H. (2011). Trend Analysis of L-Moments from Annual Maximum Rainfall Series, Conference of Korea Society of Civil Engineer, South Korea.

15. Kim, K. H., Shin, J.-Y., Kim, T. M., and Yoon, S. J. (2010). Filling and Emptying Hydraulic Model Experiment of Kyungin Canal Hanriver Lock, Conference of Korea Society of Civil Engineer, pp.2351-2354, South Korea.

14. Shin, J.-Y., Yoon, B.-M., Pyun, C. K., Kim, K. H., and Kim, T. M. (2010). Filling and Emptying Hydraulic Model Experiment of Kyungin Canal Westsea Lock, Conference of Korea Society of Civil Engineer, pp.2355-2358, South Korea.

13. Shin, J.-Y., Jeong, C.-S., and Heo, J.-H. (2009), Direct Method of Parameter Estimation for Neyman-Scott Rectangular Pulse Model, Conference of Korea Water Resources Association, pp.203-207, South Korea.

12. Shin, J.-Y., Jeong, C.-S. and Heo, J.-H. (2009), Monthly Precipitation Forecast Using Adaptive Neuro-Fuzzy Inference System, Conference of Korea Water Resources Association, pp.1181-1185, South Korea.

11. Shin, J.-Y., Jeong, C. S., Kim, T., and Heo, J.-H. (2008), Time Scale Conversion of RDAPS(Regional Date Assimilation and Prediction System) Outputs : Comparison of Accuracy of Each Cases, 2008 AOGS Conference, Korea. Busan.

10. Kim, T., Shin, J.-Y., Kim, K., and Heo, J.-H. (2008), Improving Accuracy of IDF Curves Using Long- and Short-duration Separation and Multi-Objective Genetic Algorithm, ASCE-EWRI Annual Conference, USA, Honolulu, Hawaii.

9. Choi, G., Shin, J.-Y., Jeong, C.-S. and Heo, J.-H. (2008), Improving Accuracy of RDAPS Prediction Precipitation using Artificial Neural Networks, Conference of Korea Society of Civil Engineer, South Korea.

8. Shin, J.-Y., Jeong, C.-S., Kim, T., and Heo, J.-H. (2008), Study of Direct Parameter Estimation for Neyman-Scott Rectangular Pulse Model, Conference of Korea Society of Civil Engineer, South Korea.

7. Shin, J.-Y., Choi, G., Jeong, C.-S., and Heo, J.-H. (2008), Improving Accuracy of RDAPS Prediction Precipitation using Artificial Neural Networks, Conference of Korea Water Resources Association, pp.1013-1017, South Korea.

6. Shin, J.-Y., Jeong, C.-S., and Heo, J.-H. (2008), Accuracy Comparison of Time Scale Conversion Method of RDAPS(Regional Date Assimilation and Prediction System) Outputs, Conference of Korea Water Resources Association, 2008, pp.269-273, South Korea.

5. Kim, T., Shin, J.-Y., and Heo, J.-H. (2007), Probabilistic Long-Term Reservoir Storage Forecasting Using Multi-Objective Genetic Algorithms, AGU Fall Meeting, USA, San Francisco.

4. Shin, J.-Y., Kim, S., Kim, T., and Heo, J.-H. (2007), Parameter estimation of intensity-duration-freqoency curve using genetic algorithm, Asia Oceania Geosciences Society Conference, Thailand, Bangkok.

3. Kim, J., Nam, W., Shin, J-.Y., and Heo, J.-H. (2007), Application of the forgex method to annaul maximum rainfall in Korea, IAHR Congress, Italy, Venice.

2. Nam, W., Shin, J.-Y., Shin, H., and Heo, J.-H. (2007). Selection of variable for regional frequency analysis of annual maxmum precipitation using multivariate techniques, USA, Tampa

1. Shin, J.-Y., Kim, T., Kim, S., and Heo, J.-H. (2007), Automatic Parameter Estimation of IDF Relationship Considering Long and Short Duration using Optimization Method, Conference of Korea