Publications

Mahmoudi, S., H. Moftakhari, D. F. Muñoz, W. Sweet, and H. Moradkhani (2024), Establishing flood thresholds for sea level rise impact communication, Nature Communications, doi: 10.1038/s41467-024-48545-1.

Foroumandi, E., K. Gavahi, and H. Moradkhani (2024), Generative adversarial network for real-time flash drought monitoring: A deep learning study, Water Resources Research, doi: 10.1029/2023WR035600.

Shojaeezadeh, S. A., M. Al-Wardy, M. R. Nikoo, M. Ghorbani Mooselu, M. R. Alizadeh, J. F. Adamowski, H. Moradkhani, N. Alamdari, and A. H. Gandomi (2024), Soil erosion in the United States: Present and future (2020–2050), CATENA, doi: 10.1016/j.catena.2024.108074.

Dey, H., W. Shao, H. Moradkhani, B. Keim, and B. Peter (2024), Urban Flood Susceptibility Mapping Using Frequency Ratio and Multiple Decision Tree‑based Machine Learning Models, Natural Hazards, doi:10.1007/s11069-024-06609-x

Boumis, G., H. Moftakhari, and H. Moradkhani (2024), A MetastatisticalFrequency Analysis of Extreme Storm Surge Hazard Along the US Coastline, Coastal Engineering Journal, doi:10.1080/21664250.2024.2338323

Moftakhari, H., D. F. Muñoz, A. Akbari Asanjan, A. Aghakouchak, H. Moradkhani, and D. A. Jay (2024), Nonlinear Interactions of Sea-Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?, AGU Advances, doi:10.1029/2023AV000996

Gomez, FJ., K. Jafarzadegan, H. Moftakhari, and H. Moradkhani (2024), Probabilistic Flood Inundation Mapping through Copula Bayesian Multi-Modelling of Precipitation Products, Natural Hazards and Earth System Sciences, doi:10.5194/nhess-2024-26

Muñoz, D., H. Moftakhari, and H. Moradkhani (2024), Quantifying Cascading Uncertainty in Compound Flood Modeling with Linked Process-based and Machine Learning Models, Hydrology and Earth System Sciences, doi:10.5194/hess-2024-9

Rashid, M., H. Moftakhari, and H. Moradkhani (2024), Stochastic Simulation of Storm Surge Extremes Along the Contiguous United States Coastlines Using the Max-stable Process, Communications Earth & Environment, doi:10.1038/s43247-024-01206-z

Tripathy, S., K. Jafarzadegan, H. Moftakhari, and H. Moradkhani (2024), Dynamic Bivariate Hazard Forecasting of Hurricanes for Improved Disaster Preparedness, Communications Earth & Environment, doi:10.1038/s43247-023-01198-2

Oruc, N., K. Jafarzadegan, and H. Moradkhani (2024), Improving flood inundation modeling skill: interconnection between model parameters and boundary conditions, Modeling Earth Systems and Environment, doi: 10.1007/s40808-023-01768-5

Dadashi Firouzjaei, M., M. Karimiziarani, H. Moradkhani, M. Elliott, and B. Anasori (2022), MXenes: The Two-Dimensional Influencers, Materials Today Advances, 13, 100202, doi: 10.1016/j.mtadv.2021.100202.

Zhang, B., S. Wang, J. Zscheischler, and H. Moradkhani (2023), Higher Exposure of Poorer People to Emerging Weather Whiplash in a Warmer World, Geophysical Research Letters, doi:10.1029/2023GL105640

Sohrabi, M., H. Moftakhari, and H. Moradkhani (2023), Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Potential Impacts, Earth’s Future, doi:10.1029/2023EF003731

Foroumandi, E., H. Moradkhani, X. Sanchez-Vila, K. Singha, A. Castelletti, and G. Destouni (2023), ChatGPT in Hydrology and Earth Sciences: Opportunities, Prospects, and Concerns, Water Resources Research, doi:10.1029/2023WR036288