Education and Research experience
Postdoctoral Researcher, Environmental Planning Institute, Seoul National University, South Korea
Postdoctoral Researcher, Department of Civil Urban Earth and Environmental Engineering, Ulsan National Institute of Science and Technology(UNIST), South Korea
School of Urban Environmental Engineering, Ulsan National Institute of Science and Technology(UNIST), South Korea, Ph.D.
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology(UNIST), South Korea, B.S.
Research Interests
- Weather monitoring and Forecasting with AI
- AI-driven Earth System Modeling
Awards
- (2023) Best Ph.D. Thesis Award, Korean Meteorological Society, Korea
- (2023) Outstanding Contribution in Reviewing, ISPRS Journal of Photogrammetry and Remote Sensing, Netherlands
- (2023) Grand award for Thesis Competition, National Institute of Meteorological Sciences, Korea
- (2018) Grand award for Student Thesis Competition, Korean Association of Geographic Information Studies (KAGIS), Korea
- (2017) Grand award for Student Thesis Competition, Korean Association of Geographic Information Studies (KAGIS), Korea
Publication
- Cho, D., Ham, Y. G., Jeong, S., & Kang, S. Y. (2026). A deep learning-based land-atmosphere coupled model for heatwave prediction. npj Climate and Atmospheric Science, in press. https://doi.org/10.1038/s41612-025-01311-6
- Bae, D., Cho, D., Im, J., Yoo, C., Lee, Y., & Lee, S. (2025). Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions. International Journal of Applied Earth Observation and Geoinformation, 138, 104468.
- Cho, D., Im, J., & Jung, S. (2024). A new statistical downscaling approach for short‐term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation. Quarterly Journal of the Royal Meteorological Society, 150(760), 1222-1242
- Kang, E., Cho, D., Lee, S., Im, J., Lee, D., & Yoo, C. (2024). An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea. GIScience & Remote Sensing, 61(1), 2436997.
- Lee, Y., Cho, D., Im, J., Yoo, C., Lee, J., Ham, Y. G., & Lee, M. I. (2024). Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence. npj Climate and Atmospheric Science, 7(1), 176.
- Cho, D., Yoo, C., Son, B., Im, J., Yoon, D., & Cha, D. H. (2022). A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches. Weather and Climate Extremes, 35, 100410.
- Cho, D., Bae, D., Yoo, C., Im, J., Lee, Y., & Lee, S. (2022). All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning. Remote Sensing, 14(8), 1815.