Publications

Rabby, S.H., L. Rahimi, E. Ahmadisharaf, M. Ye, J.A. Garwood, E.S. Bourque, and H. Moradkhani (2024), Dynamic Disparities in Nitrogen and Phosphorus Fluxes into Estuarine Systems Under Different Flow Regimes and Streamflow Droughts, Water Research, doi: 10.1016/j.watres.2024.122238.

Han, X., A. Roy, P. Moghaddasi, H. Moftakhari, N. Magliocca, M. Mekonnen, and H. Moradkhani (2024), Assessment of climate change impact on rainfed corn yield with adaptation measures in Deep South, US, Agriculture, Ecosystems & Environment, doi: 10.1016/j.agee.2024.109230.

Moghaddasi, P., K. Gavahi, H. Moftakhari, and H. Moradkhani (2024), Unraveling the Hydropower Vulnerability to Drought in the United States, Environmental Research Letters, doi: 10.1088/1748-9326/ad6200.

Miao, C., J. Hu, H. Moradkhani, and G. Destouni (2024), Hydrological Research Evolution: A Large Language Model-Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023, Water Resources Research, doi: 10.1029/2024WR038077.

Radfar, S., S. Mahmoudi, H. Moftakhari, T. Meckley, M. V. Bilskie, R. Collini, K. Alizad, J. A. Cherry, and H. Moradkhani (2024), Nature-based solutions as buffers against coastal compound flooding: Exploring potential framework for process-based modeling of hazard mitigation, Science of The Total Environment, doi: 10.1016/j.scitotenv.2024.173529.

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