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Glenn Liu Postdoctoral FellowInternational Pacific Research Center School of Ocean and Earth Science and Technology University of Hawaii Honolulu, Hawaii 96822 Email: Webpage: https://scholar.google.com/citations?user=dZ9O_pgAAAAJ&hl=en |
Education
- 2024 – Ph.D. (Physical Oceanography) Massachusetts Institute of Technology (MIT) - Woods Hole Oceanographic Institution (WHOI) Joint Program in Oceanography/Applied Ocean Science and Engineering
Dissertation: Investigating the Atmospheric and Oceanic Drivers of Atlantic Multidecadal Variability and Predictability - 2017 – B.A. (Environmental Studies, Earth Science Concentration) Macaulay Honors College at Hunter College, the City University of New York (CUNY)
Research Interests
- Climate variability and change
- Large scale ocean-atmosphere dynamics
- Air-sea interaction
- Re-emergence and mixed-layer dynamics
- Explainable machine learning
- Decadal to multi-decadal prediction
Scientific Work Experience
- Postdoctoral Researcher, International Pacific Research Center (IPRC), University of Hawai‘i at Mānoa (2025 – Present)
- Postdoctoral Investigator, Department of Physical Oceanography, Woods Hole Oceanographic Institution (2025)
- National Defense Science and Engineering Graduate Fellow/Graduate Research Assistant, Department of Physical Oceanography, MIT-WHOI Joint Program (2019-2024)
- Geographic Information Systems (GIS) Specialist/Geologist, Scientists-in-the-Parks Program, Northeast Coastal Barrier Network, US National Park Service (2018-2019)
- Adjunct Lecturer, Department of Geography, City University of New York Hunter College (2017)
Honors & Awards
- 2025 - National Oceanic and Atmospheric Administration (NOAA) Climate & Global Change Fellowship (top 4 finalist, no awards granted due to changes in federal funding)
- 2021 – Best Paper Award: Pathways to Impact; Tackling Climate Change with AI Workshop, Conference on Neural Information Processing Systems (NeurIPS)
- 2021 – National Defense Science and Engineering Graduate Fellowship (NDSEG)
Refereed Publications
- Liu, G., Kwon, Y.O. and Frankignoul, C., 2025. Investigation of the drivers of sea surface salinity and North Atlantic climate variability using a stochastic model. Journal of Climate, 38 (19), 5411-5430, url: https://doi.org/10.1175/JCLI-D-24-0694.1
- Liu, G.; Wang, P.; Kwon Y., 2023. “Physical Insights from the Multidecadal Prediction of North Atlantic Sea Surface Temperature Variability Using Explainable Neural Networks”. Geophysical Research Letters, 50 (24), p.e2023GL106278. url: https://doi.org/10.1029/2023GL106278.
- Liu, G.; Kwon, Y.-O.; Frankignoul, C.; and Lu, J., 2023. “Understanding the Drivers of Atlantic Multidecadal Variability using a Stochastic Model Hierarchy”. Journal of Climate, 36 (4), 1043-1058. url: https://doi.org/10.1175/JCLI-D-22-0309.1 .
- Liu, G.; Wang, P.; Beveridge M.; Kwon, Y.; Drori, I., 2021. “Predicting Atlantic Multidecadal Variability”. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2021 (CCAI), Paper #35. url: https://www.climatechange.ai/papers/neurips2021/35
- Psuty, N.P.; Ames, K.; Liu, G.; Habeck, A., 2020. “Interactive Geomorphological Resilience of Sediment Pathways and Coastal Features, Post-Hurricane Sandy, Fort Tilden, New York”. Journal of Coastal Research 36(4), 694-708. url: https://doi.org/10.2112/JCOASTRES-D-19-00126.1
- Psuty, N. P.; Ames, K.; Habeck, A.; Liu, G. 2019. "Sediment Budget and Geomorphological Evolution of the Estuarine Dune-Beach System on Three Nourished Beaches, Delaware Bay, New Jersey." Geosciences, 9 no. 1: 16. url: https://doi.org/10.3390/geosciences9010016
