Publication List

- The asterisks mean "contributed as a corresponding author".

1. H.-R. Oh, D.-S. R. Park, D. Kim*, C.-H. Ho, and S. Lee: Factors of synoptic circulation associated with high-PM2.5 concentration during wintertime in Seoul, South Korea, Atmospheric Environment, 325, 120444.

2. Park D.-S. R., E. Seo, M. Lee, D,-H. Cha, D. Kim, C.-H. Ho, M.-I. Lee, H.-S. Kim, and S.-K. Min, 2024: Sea surface temperature warming to inhibit mitigation of tropical cyclone destructiveness over East Asia in El Nino. npj Climate and Atmospheric Science, 7, 24.

3. Kim D., and C. J. Matyas, 2024: Classification of tropical cyclone rain patterns using convolutional autoencoder, Scientific Reports, 14, 791, https://doi.org/10.1038/s41598-023-50994-5.

4. Moon, M., Ha, K. J., Kim, D., Ho, C. H., et al., 2023: Rainfall strength and area from landfalling tropical cyclones over the North Indian and western North Pacific oceans under increased CO2 conditions. Weather and Climate Extremes, 100581.

5. Kim, D., D.-S. R. Park, M. Chang, D.-H. Cha, and M. Lee, 2023: Reanalyzing the Relationship of Tropical Cyclone Frequency and Intensity Affecting South Korea with the Pacific Decadal Oscillation, Journal of Climate, 36(9), 2847–2855.

6. Kim, D., D.-S. R. Park, and C. J. Matyas, 2023: Spatial Variations in Tropical Cyclone Rainfall over the Western North Pacific According to ENSO Phase, Journal of Climate, 36(6), 1697–1710.

7. Kim, D., D.-S. R. Park, C. C. Nam, and M. M. Bell, 2022: The parametric hurricane rainfall model with moisture and its application to climate change projections, npj Climate and Atmospheric Science, 5, 86.

8. Kim, D., C.-H. Ho, I. Park, J. Kim, L. S. Chang, and M. H. Choi, 2022: Untangling the contribution of input parameters to an artificial intelligence PM2.5 forecast model using the layer-wise relevance propagation method. Atmospheric Environment, 276, 119034.

9. Chang, M., D.-S. R. Park, D. Kim, and T.-W. Park, 2022: A possible relation of Pacific Decadal Oscillation with weakened tropical cyclone activity over South Korea. Journal of Korean Earth Science Society, 43, 23-29.

10. Cheung, H. M., C.-H. Ho, M. Chang, D. Kim, J. Kim, W. Choi, 2021: Development of a Track-Pattern-Based Medium-Range Tropical Cyclone Forecasting System for the Western North Pacific. Weather and Forecasting, 36, 1505-1518.

11. Kim, D., C.-H. Ho, H. Murakami, and D.-S. R. Park, 2021: Assessing the influence of large-scale environmental conditions on rainfall structure of Atlantic tropical cyclones: An observational study, Journal of Climate, 34, 2093-2106.

12. D.-S. R. Park, C.-H. Ho, D. Kim, N.-Y. Kang, Y. Han, and H.-R. Oh, 2019: Tropical cyclone as a possible remote controller of air quality over the Republic of Korea through poleward propagating Rossby waves, Journal of Applied Meteorology and Climatology, 58(11), 2523–2530.

13. Kim, D., C.-H. Ho, D.-S. R. Park, and J. Kim, 2019: Influence of vertical wind shear on wind- and rainfall areas of tropical cyclones making landfall over South Korea, PLOS One, 14, 1, https://doi.org/10.1371/journal.pone.0209885

14. Kim, D., C.-H. Ho, D.-S. R. Park, J. C. L. Chan, and Y. Jung, 2018: The relationship between tropical cyclone rainfall area and environmental conditions over the subtropical oceans, Journal of Climate, 31, 4605–4616.

15. Kim, D., C.-S. Jin, C.-H. Ho, J. Kim, and J.-H. Kim, 2015: Climatological features of WRF-simulated tropical cyclones over the western North Pacific, Climate Dynamics, 44(11-12), 3223–3235.

16. Jin, C.-S., C.-H. Ho, D.-S. R. Park, W. Choi, D. Kim, J.-H. Lee, K.-H. Chang, and K.-R. Kang, 2014: Development of the automated prediction system for seasonal tropical cyclone activity over the western North Pacific and its evaluation for early predictability, Atmosphere, 24, 123–130 (written in Korean with English abstract).