Yonghun Ro

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

Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in Korea

Woonseon Jung, Joo Wan, Ara Ko et al. · Advances in Meteorology · 2022 · 21 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17

Evaluation of the gap filler radar as an implementation of the 1.5 km <scp>CAPPI</scp> data in Korea

Chulsang Yoo, Jungsoo Yoon, Jungho Kim et al. · Meteorological Applications · 2016 · 19 citations · Full text

Natural Sciences, Geoinformatics, Geodesy +14

Markov Chain Decomposition of Monthly Rainfall into Daily Rainfall: Evaluation of Climate Change Impact

Chulsang Yoo, Jinwook Lee, Yonghun Ro · Advances in Meteorology · 2016 · 15 citations · Full text

Natural Sciences, Earth Sciences, Hydrology +17

Analysis of Results and Techniques about Precipitation Enhancement by Aircraft Seeding in Korea

Joo Wan, Wooseon Jung, Sanghee Chae et al. · 2019 · 12 citations

Natural Sciences, Earth Sciences, Meteorology +14