Research

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Peer-Reviewed Journal Articles

  • Boumis, G., Geist, E. L., & Lee, D. (2023). Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources. Journal of Geophysical Research: Oceans, 128, e2023JC020002. https://doi.org/10.1029/2023JC020002
  • Boumis, G., Moftakhari, H. R., & Moradkhani, H. (2023). Storm surge hazard estimation along the US Gulf Coast: A Bayesian hierarchical approach. Coastal Engineering, 104371. https://doi.org/10.1016/j.coastaleng.2023.104371
  • Boumis, G., Moftakhari, H. R., & Moradkhani, H. (2023). Coevolution of extreme sea levels and sea-level rise under global warming. Earth’s Future, 11, e2023EF003649. https://doi.org/10.1029/2023EF003649
  • Boumis, G., Kumar, M., Nimmo, J. R., & Clement, T. P. (2022). Influence of shallow groundwater evapotranspiration on recharge estimation using the water table fluctuation method. Water Resources Research, 58, e2022WR032073. https://doi.org/10.1029/2022WR032073

Conference Presentations

  • Boumis, G., van Osnabrugge, B., and Verkade, J.: Application of the “genRE” approach to spatial interpolation of precipitation gauge data for the Suir River Basin, EGU General Assembly 2021, Online, 19–30 Apr 2021, EGU21-520, https://doi.org/10.5194/egusphere-egu21-520, 2021.
  • Boumis, G., Twigt, D., and Verkade, J.: Development of an operational forecast verification system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22343, https://doi.org/10.5194/egusphere-egu2020-22343, 2020.

Other Publications

  • Boumis, Georgios; Peter, Brad, 2021, “Time-Series Matrix (TSMx): A visualization tool for plotting multiscale temporal trends”, https://doi.org/10.7910/DVN/ZZDYM9, Harvard Dataverse, V1, UNF:6:3tfEgXdbe634KLZutNQ/uA== [fileUNF].