Joo-Wan Cha

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

Ju‐Young Shin, Yonghun Ro, Joo-Wan Cha et al. · Advances in Meteorology · 2019 · 24 citations · Full text

Computing, Computer Science, Earth Sciences +14

Operational Real-Time Adjustment of Radar Rainfall Estimation over the South Korea Region

Mi-Kyung Suk, Ki-Ho Chang, Joo-Wan Cha et al. · Journal of the Meteorological Society of Japan Ser II · 2013 · 24 citations · Full text

Natural Sciences, Meteorology, Hydrometeorology +16

Estimation of the Melting Layer from a Micro Rain Radar (MRR) data at the Cloud Physics Observation System (CPOS) site at Daegwallyeong Weather Station

Joo-Wan Cha, Seong Soo Yum, Ki-Ho Chang et al. · Asia-Pacific Journal of Atmospheric Sciences · 2007 · 19 citations

Natural Sciences, Earth Sciences, Meteorology +17

Physical, Chemical and Optical Properties of an Asian Dust and Haze Episodes Observed at Seoul in 2010

Seungjoo Song, Jeong Eun Kim, Eunha Lim et al. · Journal of Korean Society for Atmospheric Environment · 2015 · 12 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +16