Research

Peer-Reviewed Journal Articles

1. Boumis, G., Moftakhari, H.R., Lee, D., & Moradkhani, H. (2025). In search of non-stationary dependence between estuarine river discharge and storm surge based on large-scale climate teleconnections. Advances in Water Resources, 195, 104858. https://doi.org/10.1016/j.advwatres.2024.104858
2. Radfar, S., Boumis, G., Moftakhari, H. R., Shao, W., Lee, L., & Rellinger, A. N. (2024). The value of visualization in improving compound flood hazard communication: A new perspective through a Euclidean Geometry lens. Geoscience Communication Discussions, 2024, 1-19. https://doi.org/10.5194/gc-2024-7
3. Malakar, P., Anshuman, A., Kumar, M., Boumis, G., Clement, T.P., Tashie, A., Thakur, H., Bhat, N., & Rathore, L. (2024). An in situ daily dataset for benchmarking temporal variability of groundwater recharge. Earth System Science Data Discussions, 1-19. https://doi.org/10.5194/essd-2024-324
4. Boumis, G., Moftakhari, H. R., & Moradkhani, H. (2024). A metastatistical frequency analysis of extreme storm surge hazard along the US coastline. Coastal Engineering Journal, 66(2), 380-394. https://doi.org/10.1080/21664250.2024.2338323
5. 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
6. Boumis, G., Moftakhari, H. R., & Moradkhani, H. (2023). Storm surge hazard estimation along the US Gulf Coast: A Bayesian hierarchical approach. Coastal Engineering, 185, 104371. https://doi.org/10.1016/j.coastaleng.2023.104371
7. 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
8. 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

1. Boumis, G., Moftakhari, H. and Moradkhani, H., 2023. A spatial Bayesian model for comprehensive storm surge hazard assessment along the US Gulf Coast. AGU23.
2. 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.
3. 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

1. Boumis, Georgios; Hamed Moftakhari; Hamid Moradkhani, 2025, "21-st century probabilistic daily storm surge projections for Japan's coasts", https://doi.org/10.7910/DVN/RQIBTA, Harvard Dataverse, V1, UNF:6:H6hTvRvAkghZudvPdyMPhQ== [fileUNF].
2. 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].