| Quantitative precipitation estimates using machine learning approaches with operational dual-polarization radar data K Shin, JJ Song, W Bang, GW Lee Remote Sensing 13 (4), 694, 2021 | 23 | 2021 |
| Classification of precipitation types based on machine learning using dual-polarization radar measurements and thermodynamic fields K Shin, K Kim, JJ Song, GW Lee Remote Sensing 14 (15), 3820, 2022 | 8 | 2022 |
| Estimation of precipitation area using S-band dual-polarization radar measurements JJ Song, M Innerst, K Shin, BY Ye, M Kim, D Yeom, GW Lee Remote Sensing 13 (11), 2039, 2021 | 5 | 2021 |
| Spatial classification in the presence of measurement error Y Ma, K Shin, GW Lee, JJ Song Spatial Statistics 59, 100812, 2024 | | 2024 |
| Polarimetric Retrieval of Raindrop Size Distribution: Double‐Moment Normalization Approach and Machine Learning Techniques K Shin, K Kim, JJ Song, GW Lee Geophysical Research Letters 51 (1), e2023GL106057, 2024 | | 2024 |
| Machine Learning Approach for Polarimetric Retrieval of Raindrop Size Distributions K Shin, K Kim, JJ Song, W Bang, V Bringi, M Thurai-Rajasingam, ... 40th Conference on Radar Meteorology, 2023 | | 2023 |
| 도플러 라이다를 이용한 ICE-POP 2018 기간 수평바람 연직 프로파일 산출 및 정확도 평가 김권일， 류근수， 백승우， 신규희， 이규원 대기 32 (2), 163-178, 2022 | | 2022 |
| A Machine Learning Approach to Estimating Rainfall Rate Based on Simulated Polarimetric Radar Variables K Shin, JJ Song, W Bang, G Lee AGU Fall Meeting Abstracts 2020, H141-0001, 2020 | | 2020 |
Kwonil KimStony Brook UniversityVerified email at stonybrook.edu
Kwonil KimStony Brook UniversityVerified email at stonybrook.edu