Search Results - "Sim, Seongmun"

Improved Ocean-fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning with SHAP-based Model Interpretation by Sim, Seongmun, Im, Jungho

“…Ocean-fog is a type of fog that forms over the ocean and has a visibility of less than 1 km. Ocean-fog frequently causes incidents over oceanic and coastal…”
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Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data by Lee, Juhyun, Im, Jungho, Cha, Dong-Hyun, Park, Haemi, Sim, Seongmun

“…For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for…”
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Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML by Sim, Seongmun, Im, Jungho, Jung, Sihun, Han, Daehyeon

“…Ocean fog, a meteorological phenomenon characterized by reduced visibility due to tiny water droplets or ice particles, poses significant safety risks for…”
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An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels by Shin, Yeji, Lee, Juhyun, Im, Jungho, Sim, Seongmun

“…Tropical cyclones (TCs) are destructive natural disasters. Accurate prediction and monitoring are important to mitigate the effects of natural disasters…”
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A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data by Han, Daehyeon, Lee, Juhyun, Im, Jungho, Sim, Seongmun, Lee, Sanggyun, Han, Hyangsun

“…This paper proposes a complete framework of a machine learning-based model that detects convective initiation (CI) from geostationary meteorological satellite…”
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Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea by Park, Haemi, Lee, Junghee, Yoo, Cheolhee, Sim, Seongmun, Im, Jungho

“…Near-surface relative humidity (RH ns ) is an essential meteorological parameter for water, carbon, and climate studies. However, spatially continuous RH ns…”
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Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches by Sim, Seongmun, Im, Jungho, Park, Sumin, Park, Haemi, Ahn, Myoung, Chan, Pak-wai

“…Even though deicing or airframe coating technologies continue to develop, aircraft icing is still one of the critical threats to aviation. While the detection…”
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Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data by Han, Hyangsun, Im, Jungho, Kim, Miae, Sim, Seongmun, Kim, Jinwoo, Kim, Duk-jin, Kang, Sung-Ho

“…Melt ponds, a common feature on Arctic sea ice, absorb most of the incoming solar radiation and have a large effect on the melting rate of sea ice, which…”
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