| Climate diagnostics of the extreme floods in Peru during early 2017 R Son, SYS Wang, WL Tseng, CW Barreto Schuler, E Becker, JH Yoon Climate dynamics 54, 935-945, 2020 | 26 | 2020 |
| Changes in fire weather climatology under 1.5 C and 2.0 C warming R Son, H Kim, SYS Wang, JH Jeong, SH Woo, JY Jeong, BD Lee, SH Kim, ... Environmental Research Letters 16 (3), 034058, 2021 | 16 | 2021 |
| Recurrent pattern of extreme fire weather in California R Son, SYS Wang, SH Kim, H Kim, JH Jeong, JH Yoon Environmental Research Letters 16 (9), 094031, 2021 | 13 | 2021 |
| Estimation of surface Pm2. 5 concentrations from atmospheric gas species retrieved from tropomi using deep learning: impacts of fire on air pollution over Thailand R Son, D Stratoulias, HC Kim, JH Yoon Atmospheric Pollution Research 14 (10), 101875, 2023 | 8 | 2023 |
| Spring forest-fire variability over Korea associated with large-scale climate factors JY Jeong, SH Woo, RH Son, JH Yoon, JH Jeong, SJ Lee, BD Lee Atmosphere 28 (4), 457-467, 2018 | 5 | 2018 |
| Sentinel-5P Based Estimation of PM2.5 Concentrations Across Thailand Using Tabnet R Son, D Stratoulias IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| Global patterns of tree wood density H Yang, S Wang, R Son, H Lee, V Benson, W Zhang, Y Zhang, Y Zhang, ... Global Change Biology 30 (3), e17224, 2024 | 3 | 2024 |
| Deep learning provides substantial improvements to county‐level fire weather forecasting over the western united states R Son, PL Ma, H Wang, PJ Rasch, SY Wang, H Kim, JH Jeong, KSS Lim, ... Journal of Advances in Modeling Earth Systems 14 (10), e2022MS002995, 2022 | 3 | 2022 |
| Integration of a deep-learning-based fire model into a global land surface model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, LA Silva, CR Mesa, ... Authorea Preprints, 2023 | 2 | 2023 |
| Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, L Alonso, ... Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710, 2024 | 1 | 2024 |
| Machine Learning based regional downscaling methods: surface PM2. 5 and fire risk as examples JH Yoon, R Son, JH Jeong, SYS Wang, H Kim, HC Kim AGU23, 2023 | | 2023 |
| Earth System Deep Learning towards a Global Digital Twin of Wildfires I Prapas, I Karasante, A Ahuja, S Kondylatos, E Panagiotou, C Davalas, ... EGU General Assembly Conference Abstracts, EGU-5443, 2023 | | 2023 |
| Development of super-resolution based downscaling for wildfire risk R Son, J Yoon AGU Fall Meeting Abstracts 2020, GC113-0005, 2020 | | 2020 |
| Extreme floods in Peru during early 2017 J Yoon, R Son, SY Wang, WL Tseng, CWB Schuler, EJ Becker, JH Jeong AGU Fall Meeting Abstracts 2019, GC54B-07, 2019 | | 2019 |
Jinho YoonGwangju Institute of Science and TechnologyVerified email at gist.ac.kr
