Younghyun Koo, PhD

Younghyun Koo, PhDYounghyun Koo, PhDYounghyun Koo, PhD
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Younghyun Koo, PhD

Younghyun Koo, PhDYounghyun Koo, PhDYounghyun Koo, PhD
  • Home
  • About
  • Research
  • Teaching
  • Publication
  • Contact

Publication

  • Gupta, M., Regan, H., Koo, Y., Chua, S. M. T., Li, X., & Heil, P. (2024). Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2, EGUsphere [preprint] https://doi.org/10.5194/egusphere-2024-1329
  • Koo, Y., Cheng, G., Morlighem, M., & Rahnemoonfar, M. (2024). Calibrating calving parameterizations using graph neural network emulators: Application to Helheim Glacier, East Greenland, EGUsphere [preprint] https://doi.org/10.5194/egusphere-2024-1620
  • Koo, Y., Xie, H., & Ackley, S. F. (2024). Thermodynamic and dynamic variations in sea ice thickness of the Ross Sea, Antarctica, driven by atmospheric circulation. Journal of Geophysical Research: Oceans, 129, e2023JC020622. https://doi.org/10.1029/2023JC020622
  • Koo, Y., & Rahnemoonfar, M. (2024). Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling. Journal of Glaciology, 1–30. https://doi.org/10.1017/jog.2024.93
  • Koo, Y., & Rahnemoonfar, M. (2024). Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity. IEEE Transactions on Geoscience and Remote Sensing, 62, 4303313, 1-13. https://doi.org/10.1109/TGRS.2024.3501094

  • Koo, Y., Xie, H., Kurtz, N. T., Ackley, S. F., & Wang, W. (2023). Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example. Remote Sensing of Environment, 296, 113726. https://doi.org/10.1016/j.rse.2023.113726
  • Koo, Y., Xie, H., Mahmoud, H., Iqrah, J. M., & Ackley, S. F. (2023). Automated detection and tracking of medium-large icebergs from Sentinel-1 imagery using Google Earth Engine. Remote Sensing of Environment, 296, 113731. https://doi.org/10.1016/j.rse.2023.113731

  • Koo, Y., Lei, R., Cheng, Y., Cheng, B., Xie, H., Hoppmann, M., & Mestas-Nuñez, A. M. (2021). Estimation of thermodynamic and dynamic contributions to sea ice growth in the Central Arctic using ICESat-2 and MOSAiC SIMBA buoy data. Remote Sensing of Environment, 267, 112730. https://doi.org/10.1016/j.rse.2021.112730
  • Sha, D., Koo, Y., Miao, X., Srirenganathan, A., Lan, H., Biswas, S., & Yang, C. (2021). Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018. Remote Sensing, 13(20), 4177. https://doi.org/10.3390/rs13204177
  • Koo, Y., Xie, H., Ackley, S. F., Mestas-Nuñez, A. M., Macdonald, G. J., & Hyun, C. U. (2021). Semi-automated tracking of iceberg B43 using Sentinel-1 SAR images via Google Earth Engine. The Cryosphere, 15(10), 4727-4744. https://doi.org/10.5194/tc-15-4727-2021
  • Koo, Y., Xie, H., Kurtz, N. T., Ackley, S. F., & Mestas-Nuñez, A. M. (2021). Weekly Mapping of Sea Ice Freeboard in the Ross Sea from ICESat-2. Remote Sensing, 13(16), 3277. https://doi.org/10.3390/rs13163277

  • Koo, Y., Oh, M., Kim, S. M., & Park, H. D. (2020). Estimation and mapping of solar irradiance for korea by using COMS MI satellite images and an artificial neural network model. Energies, 13(2), 301. https://doi.org/10.3390/en13020301

  • Koo, Y., Kim, S. M., Oh, M., & Park, H. D. (2019). Estimation of solar irradiance at weather stations in Korea using regionally trained artificial neural network models. Journal of the Korean Society of Mineral and Energy Resources Engineers, 56(2), 155-171. (in Korean) https://doi.org/10.32390/ksmer.2019.56.2.155

  • Oh, M. C., Kim, S. M., Koo, Y., & Park, H. D. (2018). Analysis of photovoltaic potential and selection of optimal site near gumdeok mine, North Korea. Journal of the Korean Society for New and Renewable Energy, 14(3), 44-53. (in Korean) https://doi.org/10.7849/ksnre.2018.9.14.3.044
  • Koo, Y., Kim, S. M., Oh, M., & Park, H. D. (2018). Landslide risk assessment at the gumdeok mine in North Korea using satellite images and GIS spatial data. Journal of the Korean Society of Mineral and Energy Resources Engineers, 55(4), 259-271. (in Korean) https://doi.org/10.32390/ksmer.2018.55.4.259

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