X-Net-Based Radar Data Assimilation Study over the Seoul Metropolitan Area. - Ji-Won Lee; Ki-Hong Min; Young-Hee Lee; GyuWon Lee (Remote. Sens., 2020)

Forecast Characteristics of Radar Data Assimilation Based on the Scales of Precipitation Systems. - Jeong-Ho Bae; Ki-Hong Min (Remote. Sens., 2022)

Improving Radar Data Assimilation Forecast Using Advanced Remote Sensing Data. - Miranti Indri Hastuti; Ki-Hong Min; Ji-Won Lee (Remote. Sens., 2023)

Relative Importance of Radar Variables for Nowcasting Heavy Rainfall: A Machine Learning Approach. - Yi Victor Wang; Seung Hee Kim; Geunsu Lyu; Choeng-Lyong Lee; Gyuwon Lee; Ki-Hong Min; Menas C. Kafatos (IEEE Trans. Geosci. Remote. Sens., 2023)

Impact of Assimilating GK-2A All-Sky Radiance with a New Observation Error for Summer Precipitation Forecasting. - Miranti Indri Hastuti; Ki-Hong Min (Remote. Sens., 2023)

Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach. - Yi Victor Wang; Seung Hee Kim; Geunsu Lyu; Choeng-Lyong Lee; Soorok Ryu; Gyuwon Lee; Ki-Hong Min; Menas C. Kafatos (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)