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An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels File File

Shin, Yeji , Lee, Juhyun , Im, Jungho , Sim, Seongmun

Article Issue Date2022-10 View7
Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea File File

Kang, Eunjin , Yoo, Cheolhee , Shin, Yeji , Cho, Dongjin , Im, Jungho

Article Issue Date2021-12 View15
Diurnal urban heat risk assessment and real-time population data in Seoul File File

Yoo, Cheolhee , Im, Jungho , Weng, Qihao , Cho, Dongjin , Kang, Eunjin , Shin, Yeji

Article Issue Date2023-11 View38
Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning File File

Han, Daehyeon , Im, Jungho , Shin, Yeji , Lee, Juhyun

Article Issue Date2023-10 View18
Machine learning-based quantitative precipitation estimation over the East Asia from geostationary satellite data File

Shin, Yeji

Thesis Issue Date2022-08 View12
Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model output File

Lee, Juhyun , Yoo, Cheolhee , Im, Jungho , Shin, Yeji , Cho, Dongjin

Article Issue Date2020-10 View47
Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning File

Han, Daehyeon , Choo, Minki , Im, Jungho , Shin, Yeji , Lee, Juhyun , Jung, Sihun

Article Issue Date2023-12 View16
Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer File File

Shin, Yeji , Han, Daehyeon , Im, Jungho

Article Issue Date2021-12 View12
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